<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article">
 <front>
  <journal-meta>
   <journal-id journal-id-type="publisher-id">
    ojbm
   </journal-id>
   <journal-title-group>
    <journal-title>
     Open Journal of Business and Management
    </journal-title>
   </journal-title-group>
   <issn pub-type="epub">
    2329-3284
   </issn>
   <issn publication-format="print">
    2329-3292
   </issn>
   <publisher>
    <publisher-name>
     Scientific Research Publishing
    </publisher-name>
   </publisher>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="doi">
    10.4236/ojbm.2024.125165
   </article-id>
   <article-id pub-id-type="publisher-id">
    ojbm-135913
   </article-id>
   <article-categories>
    <subj-group subj-group-type="heading">
     <subject>
      Articles
     </subject>
    </subj-group>
    <subj-group subj-group-type="Discipline-v2">
     <subject>
      Business 
     </subject>
     <subject>
       Economics
     </subject>
    </subj-group>
   </article-categories>
   <title-group>
    The Purpose of Outsourcing for Automotive Manufacturing Managers
   </title-group>
   <contrib-group>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Sonya
      </surname>
      <given-names>
       Payne
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Charles
      </surname>
      <given-names>
       Needham
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff2"> 
      <sup>2</sup>
     </xref>
    </contrib>
   </contrib-group> 
   <aff id="aff1">
    <addr-line>
     aGrand Canyon Education, Inc., Phoenix, USA
    </addr-line> 
   </aff> 
   <aff id="aff2">
    <addr-line>
     aSchool of Business, Liberty University, Lynchburg, USA
    </addr-line> 
   </aff> 
   <pub-date pub-type="epub">
    <day>
     13
    </day> 
    <month>
     08
    </month>
    <year>
     2024
    </year>
   </pub-date> 
   <volume>
    12
   </volume> 
   <issue>
    05
   </issue>
   <fpage>
    3284
   </fpage>
   <lpage>
    3325
   </lpage>
   <history>
    <date date-type="received">
     <day>
      20,
     </day>
     <month>
      June
     </month>
     <year>
      2024
     </year>
    </date>
    <date date-type="published">
     <day>
      9,
     </day>
     <month>
      June
     </month>
     <year>
      2024
     </year> 
    </date> 
    <date date-type="accepted">
     <day>
      9,
     </day>
     <month>
      September
     </month>
     <year>
      2024
     </year> 
    </date>
   </history>
   <permissions>
    <copyright-statement>
     © Copyright 2014 by authors and Scientific Research Publishing Inc. 
    </copyright-statement>
    <copyright-year>
     2014
    </copyright-year>
    <license>
     <license-p>
      This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/
     </license-p>
    </license>
   </permissions>
   <abstract>
    Automotive manufacturing managers continue outsourcing to save operating costs and remain competitive. Managers may encounter challenges when outsourcing functions despite the estimated cost-saving of 20% to 40%. Grounded by the transaction cost economics theory, this qualitative single case study explored successful strategies that automotive manufacturing managers use to partner with the appropriate organization to outsource their services. The target population consisted of 4 automotive manufacturing managers from one organization in the midwestern region of the United States. Data came from semistructured interviews and public documents from the company’s website. Yin’s 5-step data analysis process was the method to analyze the data. The 5 themes that derived from the data analysis process were: use various agreements for deliverables and flexible contracts, assess supplier metrics before partnering, establish trust and foster relationships with suppliers, assess financial factors, and assess capacity, efficiency, and reliability factors. Findings from the study may support managers who need to develop strategies to include agreement terms and conditions when partnering with a supplier. The implications for positive social change included the potential to expose managers and workers to the latest processes and technology from outsourcing suppliers. The company may benefit by streamlining internal processes and eliminating waste from automotive scrap material. The reduction of waste could improve environmental sustainability for the community.
   </abstract>
   <kwd-group> 
    <kwd>
     Asset Specificity
    </kwd> 
    <kwd>
      Business Processes
    </kwd> 
    <kwd>
      Opportunity Costs
    </kwd> 
    <kwd>
      Outsourcing
    </kwd> 
    <kwd>
      Transaction Costs
    </kwd> 
    <kwd>
      Uncertainty
    </kwd> 
    <kwd>
      Automotive Manufacturing
    </kwd>
   </kwd-group>
  </article-meta>
 </front>
 <body>
  <sec id="s1">
   <title>1. Background and Introduction</title>
   <p>Some automotive manufacturing managers outsource the manufacturing of their automobiles. The leaders from the motor vehicle industry use outsourcing suppliers to assist them in producing more vehicles (<xref ref-type="bibr" rid="scirp.135913-45">
     De Backer &amp; Miroudot, 2014
    </xref>). Some organization managers outsource goods or services as part of their strategic cost-reduction efforts (<xref ref-type="bibr" rid="scirp.135913-23">
     Brewer et al., 2013
    </xref>). Failure to develop effective outsourcing strategies is a problem that influences organizations (<xref ref-type="bibr" rid="scirp.135913-33">
     Chatha &amp; Butt, 2015
    </xref>). Taking the time to develop appropriate outsourcing strategies may help negate unexpected costs and enhance production. In this qualitative case study, I explored automotive managers’ strategies to partner with the appropriate outsourcing organizations to outsource services. This section includes information about the research questions, conceptual framework, definitions of terms, assumptions, limitations, delimitations, and the significance of the study.</p>
   <p>Some organization managers decide to outsource instead of performing work in-house. Outsourcing is becoming popular with automotive manufacturing managers with a renewed focus on business profitability (<xref ref-type="bibr" rid="scirp.135913-115">
     Lu &amp; Wang, 2018
    </xref>). During the 1990s, management shifted to outsourcing processes to reduce and control operating costs (<xref ref-type="bibr" rid="scirp.135913-23">
     Brewer et al., 2013
    </xref>; <xref ref-type="bibr" rid="scirp.135913-112">
     Liu &amp; Tyagi, 2016
    </xref>). Automotive manufacturers keep the organization competitive, and outsourcing may align with the business strategy (<xref ref-type="bibr" rid="scirp.135913-174">
     Soosay et al., 2016
    </xref>). To mitigate failure during outsourcing, a strategy component should focus on managing the partnership arrangement with the supplier (<xref ref-type="bibr" rid="scirp.135913-151">
     Pratap, 2014
    </xref>). Managers should link business processes to the organization’s strategy to improve performance and profit (<xref ref-type="bibr" rid="scirp.135913-114">
     Looy et al., 2014
    </xref>). Despite the cost-saving potential of outsourcing, managers may encounter challenges when deciding to outsource only some functions. The challenges may include maintaining organizational performance, deciding what to outsource or when to outsource, selecting the appropriate partner, and unexpected hidden costs (<xref ref-type="bibr" rid="scirp.135913-103">
     Kumari et al., 2015
    </xref>). Decision-makers need to understand the critical factors in mitigating risk, whether outsourcing or using other strategies.</p>
   <sec id="s1_1">
    <title>1.1. Purpose Statement</title>
    <p>The decision to outsource is often the result of managers planning to reduce costs and improve production (<xref ref-type="bibr" rid="scirp.135913-107">
      Lacity &amp; Willcocks, 2014
     </xref>). Approximately 75% of outsourcing companies experience production disruption because of a supplier error (<xref ref-type="bibr" rid="scirp.135913-205">
      Yoon et al., 2018
     </xref>). The general business problem is that when privatizing business operations, some automotive manufacturing managers do not determine the appropriate outsourcing organization, which results in production inefficiencies and extra costs. The specific business problem is that some automotive manufacturing managers lack strategies to partner with the appropriate organization to outsource services.</p>
   </sec>
   <sec id="s1_2">
    <title>1.2. Research Question</title>
    <p>The central research question guiding this study was: What strategies do automotive manufacturing managers use to partner with the appropriate organization to outsource their services?</p>
   </sec>
   <sec id="s1_3">
    <title>1.3. Assumptions, Limitations, and Delimitations</title>
    <p>Assumptions are ideas out of a researcher’s control (<xref ref-type="bibr" rid="scirp.135913-119">
      Marshall &amp; Rossman, 2014
     </xref>). Two assumptions were relevant to this single case study. Participants knew the successful strategies they used to partner with an outsourcing organization. The participants provided honest and truthful responses to the interview questions. The limitations are issues beyond the researcher’s control and can include potential weaknesses in the study (<xref ref-type="bibr" rid="scirp.135913-81">
      Helmich et al., 2015
     </xref>). Although the study participants appeared knowledgeable, no biased responses occurred during the interview. The participant’s responses were self-reported, and they may not have been able to recall past details, which could contain biases. The population of this study was in the Midwest region of the United States. The limitation of a geographic location for the study limited the study’s generalizations. Therefore, the results could not include leaders in other geographic areas. Delimitations are the boundaries and scope of the research (<xref ref-type="bibr" rid="scirp.135913-127">
      Mitchell &amp; Jolley, 2012
     </xref>). The study included automotive managers who worked for a manufacturing organization in the midwestern region of the United States. The midwestern region of the United States was appropriate because of the proximity to complete the research in a populated automotive manufacturing community. Managers from non-manufacturing organizations did not participate in the study.</p>
   </sec>
   <sec id="s1_4">
    <title>1.4. Significance of the Study</title>
    <p>Managers in automotive manufacturing organizations evaluate the effectiveness of an in-house or outsourced product (<xref ref-type="bibr" rid="scirp.135913-123">
      Meixell et al., 2014
     </xref>). In a competitive climate, refining business processes leads to organizational efficiency. Outsourcing begins with an effective strategy assessing the product, resources, and cost. The results of this study could contribute to business practices that help automotive manufacturing managers make effective outsourcing decisions. Outsourcing is a competitive strategy (<xref ref-type="bibr" rid="scirp.135913-23">
      Brewer et al., 2013
     </xref>). Outsourcing to gain a competitive advantage is a good decision. Outsourcing is a strategy to reduce costs and improve the competitive advantage (<xref ref-type="bibr" rid="scirp.135913-57">
      Foerstl et al., 2016
     </xref>). If managers determine the pertinent business processes of the suppliers that they are outsourcing, the organization may gain a competitive advantage. The business processes considered when partnering with an outsourcing supplier include the cost of materials, parts, and production (<xref ref-type="bibr" rid="scirp.135913-139">
      Nosoohi &amp; Nookabadi, 2016
     </xref>). Understanding managers’ strategies when collaborating with outsourcing organizations could provide insight into the role of TCE and production costs.</p>
    <sec id="s1">
     <title>2. A Review of the Academic Literature</title>
     <p>Transaction Cost Economics (TCE)</p>
     <p>Managers may use transaction cost economics theory to improve outsourcing initiatives. Managers indicated that using TCE is appropriate for increasing the success rate of outsourcing (<xref ref-type="bibr" rid="scirp.135913-122">
       McIvor, 2016
      </xref>). Several studies included outsourcing-related transaction cost economics (TCE) (<xref ref-type="bibr" rid="scirp.135913-123">
       Meixell et al., 2014
      </xref>; <xref ref-type="bibr" rid="scirp.135913-166">
       Scherrer-Rathje et al., 2014
      </xref>; <xref ref-type="bibr" rid="scirp.135913-189">
       Wacker et al., 2016
      </xref>). A review of outsourcing utilizing TCE was appropriate because of the strategic decision-making regarding processes to determine cost. Managers use TCE to improve efficiency and performance when considering related costs compared to the costs of performing the services internally (<xref ref-type="bibr" rid="scirp.135913-39">
       Coase, 1937
      </xref>; <xref ref-type="bibr" rid="scirp.135913-105">
       Lacity et al., 2016
      </xref>). TCE includes the boundaries of an organization internally or externally (<xref ref-type="bibr" rid="scirp.135913-23">
       Brewer et al., 2013
      </xref>). Managers can apply the theoretical lens of TCE to explore when a manufacturing organization outsources and determine the necessary factors for partnering with an effective outsourcing strategy (<xref ref-type="bibr" rid="scirp.135913-142">
       Odin et al., 2023
      </xref>). Managers who experienced outsourcing a manufacturing product using a structural model revealed the positive implementations of manufacturing outsourced products and suggested the need for managers to develop an outsourcing strategy (<xref ref-type="bibr" rid="scirp.135913-23">
       Brewer et al., 2013
      </xref>). Managers should commit to learning the factors for an effective outsourcing strategy to select the appropriate organization to align with production needs.</p>
     <p>Understanding the functions of an outsourcing strategy may mitigate risks. From an economic perspective, managers need to understand the functions of an outsourcing strategy (<xref ref-type="bibr" rid="scirp.135913-39">
       Coase, 1937
      </xref>). Economics includes the presumption that the market is efficient, and firms produce their goods and services; however, hiring another firm to produce may prove cost-effective. With the correct governance, managers can determine whether to produce internally or contract with others to produce externally. Managers can influence organizational development through economics by producing activities with low transaction costs (<xref ref-type="bibr" rid="scirp.135913-39">
       Coase, 1937
      </xref>; <xref ref-type="bibr" rid="scirp.135913-196">
       Williamson, 1985
      </xref>). For an organization to achieve integration, managers must understand the costs involved and act strategically to use resources to obtain goals (<xref ref-type="bibr" rid="scirp.135913-196">
       Williamson, 1985
      </xref>). The role of managers is to minimize the cost of goods or services (<xref ref-type="bibr" rid="scirp.135913-196">
       Williamson, 1985
      </xref>). The management function of minimizing the cost of goods is a variable of the TCE theory, similar to the firm’s resource-based theory (RBT). Understanding an organization’s resources may assist managers in generating profits. The firm’s resource-based theory includes understanding outsourcing decisions and outcomes (<xref ref-type="bibr" rid="scirp.135913-161">
       Sato, 2023
      </xref>). The types of transactions a firm can conduct within the firm’s boundaries comprise three essential characteristics: specific assets, uncertainty, and frequency (<xref ref-type="bibr" rid="scirp.135913-196">
       Williamson, 1985
      </xref>). Manufacturing managers may consider transaction characteristics when partnering with the appropriate organization to outsource services. The significance of a manager’s consideration of transaction cost characteristics is beneficial when predicting the scope of outsourcing activities and organizational performance (<xref ref-type="bibr" rid="scirp.135913-54">
       Elia et al., 2014
      </xref>). A manager’s knowledge of the organization’s assets will help decide which product to outsource to the appropriate organization.</p>
     <p>A type of transaction that a firm’s management can consider is a specificity asset. When determining which organization is the appropriate choice to outsource production services, paying attention to the specific asset is essential. Managers should determine if another organization could quickly produce an asset without compromising product value (<xref ref-type="bibr" rid="scirp.135913-89">
       Huang, 2014
      </xref>). The more specific an asset becomes, the transaction cost increases and may lead to difficulty redeploying without a value loss. A firm manager may be able to determine what occurs in a single transaction, while another manager in a different firm may not have the analytical skills. TCE includes two behavioral assumptions: bounded rationality and opportunism (<xref ref-type="bibr" rid="scirp.135913-196">
       Williamson, 1985
      </xref>). Bounded rationality assumes that those who make the decisions have the capability and rationality. Through TCE, managers may gain insight regarding bounded rationality and not just consider outsourcing decisions on cost reductions (<xref ref-type="bibr" rid="scirp.135913-57">
       Foerstl et al., 2016
      </xref>). Opportunism is the assumption that a party may see an opportunity to exploit a situation at the expense of the other. Managers’ understanding of assets is beneficial for determining what a transaction includes. When initiating an outsourcing plan, managers should understand the potential of uncertainty. One of the critical constructs of transaction cost theory is uncertainty (<xref ref-type="bibr" rid="scirp.135913-193">
       Weber &amp; Mayer, 2014
      </xref>). Uncertainty is the unknown future costs of a transaction that are difficult to assess and may affect the organization’s level of performance (<xref ref-type="bibr" rid="scirp.135913-110">
       Lewis, 2014
      </xref>). The transaction cost theory distinguishes environmental and behavioral uncertainty (<xref ref-type="bibr" rid="scirp.135913-84">
       Hesping &amp; Schiele, 2016
      </xref>). High uncertainty may increase transaction costs, including coordination and transaction risks. Regarding outsourcing, uncertainty is a critical feature of the specific function outsourced (<xref ref-type="bibr" rid="scirp.135913-141">
       Odin et al., 2022
      </xref>). With uncertain future costs, managers must decide what strategies will help implement an outsourcing plan with the appropriate organization.</p>
     <p>With strategic management, managers should elect to produce transactions in-house with high asset specificity and behavioral uncertainty because the risks and costs of outsourcing (externalizing) are significant and inefficient (<xref ref-type="bibr" rid="scirp.135913-196">
       Williamson, 1985
      </xref>). Asset specificity can negatively influence the effect of outsourcing mix and volume (<xref ref-type="bibr" rid="scirp.135913-166">
       Scherrer-Rathje et al., 2014
      </xref>). Studies include TCE as a lens through which to view asset specificity. The data collected from a logistics supplier in the automotive industry through semistructured interviews and site visits with executives indicated five conditions (<xref ref-type="bibr" rid="scirp.135913-15">
       Bennett &amp; Klug, 2012
      </xref>). The five conditions critical to outsourcing integration in the automotive industry are geographical proximity, delivery contents, volume and sequence, shared investment, and asset specificity (<xref ref-type="bibr" rid="scirp.135913-15">
       Bennett &amp; Klug, 2012
      </xref>). The conditions to concentrate on suppliers could also aid automotive manufacturing managers when collaborating with an organization to outsource services. As more automotive manufacturers outsource, management’s understanding of the integration between the organization and the supplier is essential (<xref ref-type="bibr" rid="scirp.135913-100">
       Klug, 2014
      </xref>). Managers familiar with the conditions critical to outsourcing may make better decisions.</p>
     <p>Flexibility is a critical component of the impact on organizational performance. Once a manager decides to outsource, the extent of flexibility in making changes is unknown for months (<xref ref-type="bibr" rid="scirp.135913-113">
       Liu &amp; Nagurney, 2013
      </xref>). The extent of flexibility is unknown to management because the supplier partnership is new, and there is uncertainty about production demands. Managers use an analytical framework around demand and cost uncertainty to evaluate outsourcing and in-house quick-response production decisions (<xref ref-type="bibr" rid="scirp.135913-113">
       Liu &amp; Nagurney, 2013
      </xref>). The results from the analytical framework revealed that with outsourcing decisions, those manufacturers without quick response production capability are willing to accept that cost will increase when the demand of uncertainty increases (<xref ref-type="bibr" rid="scirp.135913-113">
       Liu &amp; Nagurney, 2013
      </xref>). The more uncertainty in an exchange relationship, the less the buyer can identify and assess possible risks (<xref ref-type="bibr" rid="scirp.135913-84">
       Hesping &amp; Schiele, 2016
      </xref>). Managers’ understanding of high uncertainty and transaction costs may assist in preparing an effective outsourcing plan when partnering with another organization.</p>
     <p>Understanding the frequency of transactions can help with evaluating resources. How often a transaction will occur is frequency (<xref ref-type="bibr" rid="scirp.135913-196">
       Williamson, 1985
      </xref>). Frequency is a characteristic of a transaction in the TCE theory. Calculating frequency may help identify the components necessary to create the transaction. Most transactions reoccur, but some do not, leading to inaccurate estimations when partnering with an outsourcing organization (<xref ref-type="bibr" rid="scirp.135913-72">
       Guo et al., 2015
      </xref>). Managers must understand the frequency of how often a transaction occurs when developing an outsourcing plan with the appropriate organization. When considering outsourcing, an awareness of the assets required is helpful. Durable transaction-specific investments refer to asset specificity (<xref ref-type="bibr" rid="scirp.135913-196">
       Williamson, 1985
      </xref>). A manager must understand durable transactions when deciding between producing an item internally or an outsourcing arrangement. If a manager determines that another firm should produce an item, knowledge is necessary to determine the outsourcing firm’s responsibility when undertaking the transaction (<xref ref-type="bibr" rid="scirp.135913-46">
       De Vita &amp; Tekaya, 2015
      </xref>; <xref ref-type="bibr" rid="scirp.135913-176">
       Speckbacher et al., 2015
      </xref>). Some manufacturers have experienced success when outsourcing part of their production to another company (<xref ref-type="bibr" rid="scirp.135913-113">
       Liu &amp; Nagurney, 2013
      </xref>). The manufacturing managers experience success because they have a strategy for quick responses to the production capabilities. Manufacturing managers need to include the perspective of the outsourcing firm as a part of the strategy when partnering on services to outsource. The perspective that managers need to consider is the outsourcing firm’s capabilities. Managers remain diligent in accessing the outsourcing firm’s capabilities, including an examination to confirm specifications for accuracy to produce the product with adequate resources (<xref ref-type="bibr" rid="scirp.135913-177">
       Spring &amp; Araujo, 2014
      </xref>).</p>
     <p>Managers should develop preparedness to work through unforeseen challenges with the outsourcing firm (<xref ref-type="bibr" rid="scirp.135913-177">
       Spring &amp; Araujo, 2014
      </xref>). Managers’ preparedness before outsourcing starts could assist with handling unforeseen challenges. Resource-based view theory aligns with a manager’s focus on transaction cost economics: efficiency (<xref ref-type="bibr" rid="scirp.135913-85">
       Hitt et al., 2016
      </xref>). RBT included the effective use of resources to influence the firm’s boundaries. TCE criticism stems from opportunism and little focus on the organizational manager’s characteristics and contract selections (<xref ref-type="bibr" rid="scirp.135913-58">
       Foss &amp; Weber, 2016
      </xref>). The managerial rationale for strategic decisions on outsourcing stems from TCE, the RBT view, the core competencies, and the approach theories (<xref ref-type="bibr" rid="scirp.135913-31">
       Cesarani, 2014
      </xref>). Managers may consider RBT along with TCE when making strategic outsourcing decisions.</p>
     <p>Alternative theories related to the conceptual framework of the TCE theory include several other theories. Other theories emerged, including resource-based theory (RBT), knowledge-based view (KBV), and agency theory. First, RBT is like TCE because the theory includes a framework to explore organizational competitiveness by focusing on the organization’s internal characteristics instead of environmental conditions (<xref ref-type="bibr" rid="scirp.135913-132">
       Nason &amp; Wiklund, 2015
      </xref>). Concerning RBT, the foundation dates to the work of <xref ref-type="bibr" rid="scirp.135913-11">
       Barney (1986)
      </xref>. The RBT of the firm includes the inside of the organization as well as the resources and capabilities to show the profit and value of the organization (<xref ref-type="bibr" rid="scirp.135913-11">
       Barney, 1986
      </xref>). RBT applies when managers explore an organization’s resources to gain a competitive advantage. Properly managing resources is beneficial when managing suppliers and new product development (<xref ref-type="bibr" rid="scirp.135913-85">
       Hitt et al., 2016
      </xref>). While RBT is similar to TCE, and a theory selected when exploring outsourcing is RBT, which is different from TCE because the focus is on organizational performance and how managers internalize activities within the organization as opposed to outsourcing (<xref ref-type="bibr" rid="scirp.135913-99">
       Kirchoff et al., 2016
      </xref>; <xref ref-type="bibr" rid="scirp.135913-122">
       McIvor, 2016
      </xref>). The following alternative theory is a knowledge-based view (KBV).</p>
     <p>KBV theory encompasses the organizational manager’s knowledge of whether to integrate based on the cost of an activity (<xref ref-type="bibr" rid="scirp.135913-70">
       Grant, 1996
      </xref>). Knowledge is an essential function of the KBV theory, yet difficulty exists when measuring managerial and operational knowledge and implementing an effective organizational strategy (<xref ref-type="bibr" rid="scirp.135913-75">
       Handfield et al., 2015
      </xref>). A manager’s knowledge is an asset to the organization and helps sustain a competitive advantage (<xref ref-type="bibr" rid="scirp.135913-171">
       Singh, 2013
      </xref>). New developments include knowledge management systems that are evolving and applied to analyzing management activities to improve organizational efficiency (<xref ref-type="bibr" rid="scirp.135913-171">
       Singh, 2013
      </xref>). KBV theory is vital for managers in analyzing activities effectively to improve organizational efficiency. The KBV theory is suitable for managers who want to manage administrative processes but does not include a framework for managers implementing an outsourcing plan (<xref ref-type="bibr" rid="scirp.135913-143">
       Oliva, 2014
      </xref>). The final alternative theory to address is the agency theory.</p>
     <p>Agency theory is appropriate for including information when an individual (principal) hires another individual (agent) to perform a service and delegates decision-making authority to the agent (<xref ref-type="bibr" rid="scirp.135913-93">
       Jensen &amp; Meckling, 1976
      </xref>). A challenge with the principal-agent relationship is that the principal and the agent share a self-interest (<xref ref-type="bibr" rid="scirp.135913-93">
       Jensen &amp; Meckling, 1976
      </xref>). The manager and agent’s interests might not align with what is best for the organization (<xref ref-type="bibr" rid="scirp.135913-93">
       Jensen &amp; Meckling, 1976
      </xref>). In the same manner, the manager and agent should align goals to help improve organizational competitiveness. Managers are concerned with not just their decisions when outsourcing but are aware of the agent’s agenda (<xref ref-type="bibr" rid="scirp.135913-71">
       Gunasekaran et al., 2015
      </xref>). The application of the agency theory is appropriate for exploring outsourcing during the preparation phase when selecting a vendor. The agency theory is not an appropriate conceptual framework because managers who develop plans when partnering with an outsource organization should focus on outcomes rather than reducing costs.</p>
     <p>Outsourcing</p>
     <p>Outsourcing is a strategy to reduce costs and improve a competitive advantage (<xref ref-type="bibr" rid="scirp.135913-57">
       Foerstl et al., 2016
      </xref>). The motivation for business process outsourcing changed to a manager’s focus on cost reduction in performance transformation in areas such as quality, functionality, and service (<xref ref-type="bibr" rid="scirp.135913-76">
       Handley &amp; Angst, 2015
      </xref>). However, one of the reasons automotive manufacturers outsource is to reduce costs (<xref ref-type="bibr" rid="scirp.135913-53">
       Edvardsson &amp; Durst, 2014
      </xref>). Management may benefit from developing strategies to partner with suppliers and determine how to compare the costs of performing the services internally or externally. The organization can gain a competitive advantage if managers focus on other challenges besides cost. Competitive advantage could yield positive results through streamlining processes and increasing profit. The increased profits may improve the organization’s competitive advantage (<xref ref-type="bibr" rid="scirp.135913-108">
       Lahiri, 2015
      </xref>). A strategic outsourcing plan could help managers cultivate a business relationship with suppliers.</p>
     <p>In the 1980s, outsourcing manufacturing activities gained popularity as manufacturers searched for competitive cost advantages (<xref ref-type="bibr" rid="scirp.135913-147">
       Pearce, 2014
      </xref>). Several studies include using TCE during the implementation of outsourcing in manufacturing. TCE is suitable for managers to analyze outsourcing decisions (<xref ref-type="bibr" rid="scirp.135913-25">
       Cabral et al., 2014
      </xref>). Organizational decision-makers who apply TCE during outsourcing minimize transaction costs (<xref ref-type="bibr" rid="scirp.135913-52">
       Duan et al., 2014
      </xref>). Managers applied TCE as the theoretical framework to explore strategies that assisted them in proper business outsourcing implementations (<xref ref-type="bibr" rid="scirp.135913-52">
       Duan et al., 2014
      </xref>). The results from managers exploring strategies of proper outsourcing revealed the difficulty of determining what constitutes a successful business process. Outsourcing implementation and outcomes cause differences for managers in organizational environments and productivity and implementation capabilities. Managers should thoroughly explore the elements of the TCE theory before developing an outsourced implementation plan to assist with the process.</p>
     <p>TCE focuses on transaction costs and may assist managers in implementing a strategy to reduce outsourcing risks (<xref ref-type="bibr" rid="scirp.135913-122">
       McIvor, 2016
      </xref>). An outsourcing strategy includes critical concepts from the TCE (<xref ref-type="bibr" rid="scirp.135913-165">
       Schermann et al., 2016
      </xref>). An outsourcing strategy’s key concept should include exploring the costs the organization would incur when outsourcing instead of using its resources (<xref ref-type="bibr" rid="scirp.135913-39">
       Coase, 1937
      </xref>). Managers’ ongoing exploration and monitoring of costs may help the organization determine if the outsourcing efforts should continue with a specific organization. Managers should understand the business activities that are essential to outsourcing. With process outsourcing, TCE is valuable for managers considering outsourcing (<xref ref-type="bibr" rid="scirp.135913-168">
       Schoenherr et al., 2015
      </xref>). TCE is synonymous with understanding the transaction attributes in outsourcing (<xref ref-type="bibr" rid="scirp.135913-105">
       Lacity et al., 2016
      </xref>). Managers undertaking TCE and RBV theories to perform outsourcing processes in a manufacturing firm may learn adequate outsourcing decisions (<xref ref-type="bibr" rid="scirp.135913-135">
       Neves et al., 2014
      </xref>). The TCE and RBV theories are good references for managers when deciding which activities to outsource (<xref ref-type="bibr" rid="scirp.135913-135">
       Neves et al., 2014
      </xref>). Applying the TCE theory alone is a reliable source for managers evaluating outsourcing transactions (<xref ref-type="bibr" rid="scirp.135913-46">
       De Vita &amp; Tekaya, 2015
      </xref>). Managers evaluate outsourcing transactions through understanding transaction costs and ongoing monitoring of the outsourcing firm (<xref ref-type="bibr" rid="scirp.135913-122">
       McIvor, 2016
      </xref>). Applying the TCE in manufacturing helps enhance outsourcing efforts (<xref ref-type="bibr" rid="scirp.135913-142">
       Odin et al., 2023
      </xref>). Knowledge of business processes will assist in formulating the organization’s strategies and plans.</p>
     <p>Another way that managers can assist with the organization’s outsourcing strategies is to build strong partnerships. A TCE-based outsourcing model is appropriate to assist manufacturing managers with enhancing competitiveness by understanding the steps necessary to follow up on outsourcing partnering decisions (<xref ref-type="bibr" rid="scirp.135913-98">
       Karatzas et al., 2017
      </xref>). When the managers at 969 manufacturing plants in 17 countries applied the TCE outsourcing model, the results suggested that decision-makers should look beyond the options to make or buy and address how to make outsourcing transactions successful (<xref ref-type="bibr" rid="scirp.135913-202">
       Yang et al., 2012
      </xref>). Still, not all leaders understand the difficulties in deciding on an outsourcing partnering strategy (<xref ref-type="bibr" rid="scirp.135913-157">
       Rousseau &amp; Duchon, 2015
      </xref>). Managers should follow up with outsourcing firms to ensure completion of the transactions. Part of the strategy when following up with outsourcing firms should include verification that the finished product is reliable, and if not, then determine if the outsourcing firm’s team is responsive and flexible to rectify problems (<xref ref-type="bibr" rid="scirp.135913-71">
       Gunasekaran et al., 2015
      </xref>). Managers should establish a cadence of following up with the outsourcing firms.</p>
     <p>Regularly following up with outsourcing firms may assist managers in gaining critical insights. Outsourcing is procuring components or services from an external source rather than producing internally (<xref ref-type="bibr" rid="scirp.135913-128">
       Mohiuddin &amp; Su, 2013
      </xref>). Outsourcing for competitive advantage is a good decision. A statistical analysis of production outsourcing in manufacturing is appropriate to determine whether to outsource or produce internally using the results from the Manufacturing Performance Institute’s (MPI) annual census of manufacturers (<xref ref-type="bibr" rid="scirp.135913-123">
       Meixell et al., 2014
      </xref>). The annual census includes an analysis of the collection of plant-level data on manufacturing metrics, management practices, and financial results. The annual census data was appropriate to determine whether the manufacturing organization is competitive. In determining whether the manufacturing organization is competitive, the binary variable includes the extent of production processes outsourced (<xref ref-type="bibr" rid="scirp.135913-123">
       Meixell et al., 2014
      </xref>). Results suggested that outsourcing processes do not significantly affect the cost of goods sold (<xref ref-type="bibr" rid="scirp.135913-123">
       Meixell et al., 2014
      </xref>). The unexpected results were that managers admitted they did not anticipate that hidden costs may factor in the strategy when partnering with an outsourcing organization. When managers take the time to develop an outsourcing strategy, the efforts may help negate unexpected costs. When manufacturing managers implement an outsourcing strategy and include a high commitment to growth and cost strategy, they achieve high cost-related performance (<xref ref-type="bibr" rid="scirp.135913-142">
       Odin et al., 2023
      </xref>). The automotive manufacturing manager should continuously monitor the supplier’s performance.</p>
     <p>Partnering with an outsourced organization varies in style and scope. Partnering with an outsourcing organization has four styles (<xref ref-type="bibr" rid="scirp.135913-208">
       Zhang &amp; Sun, 2012
      </xref>). In style 1, select service outsourcing is outsourcing a single select service while keeping all other services in-house. Style 2 is when most outsourcing services occur while select services remain in-house. Style 3 is lower-level outsourcing, which includes outsourcing all lower-level services. In style 4, high-level outsourcing is all lower-level services, and employees are kept in-house, while high-level employees are outsourced (<xref ref-type="bibr" rid="scirp.135913-208">
       Zhang &amp; Sun, 2012
      </xref>). The study results indicated that managers must conduct a practical cost analysis of what is suitable to outsource as a part of the strategy (<xref ref-type="bibr" rid="scirp.135913-208">
       Zhang &amp; Sun, 2012
      </xref>). With a strong outsourcing strategy, managers may achieve organizational goals.</p>
     <p>Managers need an excellent strategy to meet organizational goals during outsourcing. Outsourcing as a strategy is achieving operational plans and organizational goals (<xref ref-type="bibr" rid="scirp.135913-187">
       Valmohammadi &amp; Ahmadi, 2015
      </xref>). Outsourcing is a global initiative that includes other trends. Other outsourcing trends include business process reengineering, strategic focus on core business, outsourcing and offshoring strategies, and shared services (<xref ref-type="bibr" rid="scirp.135913-24">
       Brunetta &amp; Peruffo, 2014
      </xref>). Enhancement of organizational performance may occur through outsourcing (<xref ref-type="bibr" rid="scirp.135913-65">
       Giustiniano et al., 2014
      </xref>). Outsourcing is an organization’s most important strategic choice (<xref ref-type="bibr" rid="scirp.135913-117">
       Manning et al., 2015
      </xref>). The success of automotive organizations such as Ford and Toyota attributes to developing an effective manufacturing strategy (<xref ref-type="bibr" rid="scirp.135913-33">
       Chatha &amp; Butt, 2015
      </xref>). TCE is significant when the organization aims to increase transaction costs and reduce production costs through outsourcing. The TCE theory is suitable for managers exploring the strategies automotive manufacturing managers use to partner with the appropriate outsourcing organization in this study. Managers may gain insight from the TCE theory and factor in the cost of transactions when developing a strategy to partner with an outsourcing organization.</p>
     <p>Outsourcing became popular during the 1980s, and managers began to focus on vertical integration (<xref ref-type="bibr" rid="scirp.135913-129">
       Mong, 2013
      </xref>). Automobile industry managers must use vertical integration to reduce manufacturing costs and improve performance (<xref ref-type="bibr" rid="scirp.135913-6">
       Argyres &amp; Mostafa, 2016
      </xref>). A manager should continue overseeing the process, whether a product is in-house or outsourced. With vertical integration, a manager should maintain ownership and control of the manufacturing process with the outsourcing firm (<xref ref-type="bibr" rid="scirp.135913-196">
       Williamson, 1985
      </xref>). Vertical integration may help to improve organizational performance. When management expands business operations, the notion of core competency emerges, and the belief that the managers should focus on the core competencies and outsourcing noncore activities (<xref ref-type="bibr" rid="scirp.135913-129">
       Mong, 2013
      </xref>). Core competence can distinguish a firm and include a competitive advantage within an industry (<xref ref-type="bibr" rid="scirp.135913-148">
       Peranginangin, 2015
      </xref>). An organization’s core competencies include product development, design, and engineering (<xref ref-type="bibr" rid="scirp.135913-56">
       Erenda et al., 2018
      </xref>). Some outsourcing strategies are relevant to core competencies rather than how outsourcing decisions affect business processes. When the manager focuses only on core competencies, this may cause the organization to become rigid and ignore other new capabilities (<xref ref-type="bibr" rid="scirp.135913-62">
       Gerbl et al., 2015
      </xref>). Noncore competencies, such as back-office functions, human resources, finance, and accounting, are some departments that outsource products and services (<xref ref-type="bibr" rid="scirp.135913-62">
       Gerbl et al., 2015
      </xref>). Some company managers misunderstand the word core, which leads to operational challenges and employee doubts (<xref ref-type="bibr" rid="scirp.135913-151">
       Pratap, 2014
      </xref>).</p>
     <p>Manufacturing enterprises may reap benefits from the outsourcing of noncore activities from in-house (<xref ref-type="bibr" rid="scirp.135913-191">
       Wang &amp; Li, 2013
      </xref>). Outsourcing non-core activities efficiently expands a firm’s capacity to address organizational competitiveness (<xref ref-type="bibr" rid="scirp.135913-27">
       Callahan et al., 2013
      </xref>; <xref ref-type="bibr" rid="scirp.135913-128">
       Mohiuddin &amp; Su, 2013
      </xref>). From a TCE perspective, allocating resources efficiently reduces uncertainty (<xref ref-type="bibr" rid="scirp.135913-64">
       Giustiniano &amp; Clarioni, 2013
      </xref>). An analysis of outsourcing decisions is a challenge. The results from an in-depth case study analysis of the outsourcing decisions in six German companies that employed TCE and the RBV as a theoretical basis could lead to critical learnings (<xref ref-type="bibr" rid="scirp.135913-62">
       Gerbl et al., 2015
      </xref>). These key learnings included those managers considered the organization’s competitive strength. The process involved the potential transactions associated with each distance option and an organization’s outsourcing capabilities and experiences (<xref ref-type="bibr" rid="scirp.135913-62">
       Gerbl et al., 2015
      </xref>). Managers should consider linking strategic outsourcing goals to concrete actions (<xref ref-type="bibr" rid="scirp.135913-142">
       Odin et al., 2023
      </xref>). The first goal is that managers should follow the outsourcing strategy created, and the second goal is cost reduction, which is the most frequently desired outcome of outsourcing (<xref ref-type="bibr" rid="scirp.135913-23">
       Brewer et al., 2013
      </xref>). Managers should not lose focus on the strategic reasons for outsourcing with any outsourcing organization.</p>
     <p>A manager’s decision to produce a product in-house, outsource, or use a mixed strategy may affect the outsourcing decision. In a qualitative multiple-case study, managers reported that various strategies exist to determine whether to produce a product in-house, outsource, or do both (<xref ref-type="bibr" rid="scirp.135913-138">
       Nordigården et al., 2014
      </xref>). With a strategy to produce a product in-house, the organizational managers may have better control over their production and handling changes in product demands. When a manager’s strategy is to outsource, this may help them focus on other core competencies (<xref ref-type="bibr" rid="scirp.135913-138">
       Nordigården et al., 2014
      </xref>). Managers should continue focusing on the product once the decision to outsource occurs to ensure the product meets quality standards. Not knowing what processes are pertinent to an organization may affect outsourcing efforts. In a qualitative case study, a model is appropriate for managers to ascertain the relevant contextual information about business processes (<xref ref-type="bibr" rid="scirp.135913-3">
       Anastassiu et al., 2016
      </xref>). When managers apply the model, the conclusion is that attributes of business processes and essential activities emerge (<xref ref-type="bibr" rid="scirp.135913-3">
       Anastassiu et al., 2016
      </xref>). Adaptability may improve the organization’s competitive advantage when managers understand the relevant information about business processes.</p>
     <p>Before analyzing potential disruptions in an organization, a manager should first understand the advantages and disadvantages of outsourcing. With the outsourcing decision, cost challenges may surface later because the manager minimizes the risks. Managers must properly assess all costs associated with producing a product before outsourcing (<xref ref-type="bibr" rid="scirp.135913-76">
       Handley &amp; Angst, 2015
      </xref>; <xref ref-type="bibr" rid="scirp.135913-184">
       Timmer et al., 2015
      </xref>). Managers must not only minimize the risks of outsourcing. Managers must implement steps to monitor and manage supplier performance. Poor planning may lead to disruption of the organization. A disruption may include deteriorating the firm’s manufacturing competencies (<xref ref-type="bibr" rid="scirp.135913-57">
       Foerstl et al., 2016
      </xref>). Knowledge of the advantages and disadvantages of outsourcing is essential for managers. An advantage of outsourcing with the appropriate partner is the expectation of cost reduction. The advantages of outsourcing are cost reduction, increased productivity, job balance, management flexibility, and risk avoidance (<xref ref-type="bibr" rid="scirp.135913-48">
       Doval, 2016
      </xref>). Cost reduction is attractive to manufacturing managers because of the potential to reduce overhead (<xref ref-type="bibr" rid="scirp.135913-151">
       Pratap, 2014
      </xref>). Manufacturers in small-to-medium organizations that outsource can reduce costs and increase efficiency (<xref ref-type="bibr" rid="scirp.135913-128">
       Mohiuddin &amp; Su, 2013
      </xref>). Improving process efficiency is a focus for managers in the manufacturing industry (<xref ref-type="bibr" rid="scirp.135913-55">
       El-Khalil, 2015
      </xref>). Automotive manufacturers sometimes arrange simulated models to identify how to improve efficiency in automobile assembly (<xref ref-type="bibr" rid="scirp.135913-55">
       El-Khalil, 2015
      </xref>). When managers applied the simulated modeling assembling to three different vehicles, the results indicated a potential return on investment of 497% and cost improvement of $1.6 million annually (<xref ref-type="bibr" rid="scirp.135913-55">
       El-Khalil, 2015
      </xref>). Although the simulated modeling indicated that outsourcing may improve efficiency and cost, no guarantee exists (<xref ref-type="bibr" rid="scirp.135913-164">
       Schepker et al., 2014
      </xref>). Managers who develop an outsourcing strategy may increase and improve the company’s productivity.</p>
     <p>Other outsourcing advantages include streamlining business processes and organization competitiveness (<xref ref-type="bibr" rid="scirp.135913-47">
       Diaz-Mora &amp; Triguero-Cano, 2012
      </xref>). The phases of streamlining the outsourcing process and estimated cost reduction are 20% to 40% (<xref ref-type="bibr" rid="scirp.135913-87">
       Holweg &amp; Pil, 2012
      </xref>). The improvements during the streamlining of outsourcing are (a) standardization of business processes and (b) reduction of any costs incurred by the organizations. Improving organizational competitiveness occurs when managers obtain a reasonable market price for transactions involved with outsourcing (<xref ref-type="bibr" rid="scirp.135913-188">
       Vitasek, 2016
      </xref>). Managers responsible for outsourcing need to understand business processes for the growth and success of the organization (<xref ref-type="bibr" rid="scirp.135913-198">
       Wong et al., 2014
      </xref>). Even though potential advantages exist when outsourcing a business process, managers should remain engaged. Outsourcing aligns with an advantage of organizational and operational strategies (<xref ref-type="bibr" rid="scirp.135913-31">
       Cesarani, 2014
      </xref>). Strategic and organizational outsourcing is an advantage because it decreases the activities conducted by management and allows managers to focus on core business activities (<xref ref-type="bibr" rid="scirp.135913-31">
       Cesarani, 2014
      </xref>). Although outsourcing advantages exist, acknowledging the disadvantages is essential. The disadvantages associated with outsourcing could emerge as a loss of management control of the functions within the organization and challenges with the outsource providers, such as poor quality or the inability to produce the products. Outsourcing may decrease the organization’s frequency of in-house production (<xref ref-type="bibr" rid="scirp.135913-36">
       Christ et al., 2015
      </xref>). The difficulty in monitoring products and decision-making with the transaction is a challenge for managers because of the perceived loss of control (<xref ref-type="bibr" rid="scirp.135913-36">
       Christ et al., 2015
      </xref>). Managers should specify who is responsible for outsourcing products or services to the external supplier (<xref ref-type="bibr" rid="scirp.135913-35">
       Chou et al., 2015
      </xref>). Managers are responsible for including clear expectations regarding the external supply partner and decision-making in an outsourcing strategy, which may help ease managers’ apprehensions concerning the loss of control.</p>
     <p>Another disadvantage of outsourcing may occur when the organization becomes dependent on the supplying partner (<xref ref-type="bibr" rid="scirp.135913-7">
       Awasthi et al., 2016
      </xref>). Obstacles occur when managers rely on an outsourcing supplier to perform the work, and delays occur in the delivery of products. The root causes of delays may include a natural disaster or the inability to complete the outsourcing functions promptly. The delays may negatively affect the organization’s financial performance (<xref ref-type="bibr" rid="scirp.135913-36">
       Christ et al., 2015
      </xref>). Other disadvantages include declining employee morale and the inability to monitor supplier performance (<xref ref-type="bibr" rid="scirp.135913-102">
       Krstic &amp; Kahrovic, 2015
      </xref>). Managers should not ignore the potential disadvantages of outsourcing. The disadvantages include a dependence on the supplier, a decline in employee morale, and a lack of visibility in the supplier’s performance when preparing an outsourcing strategy. Before a manager implements business process outsourcing, developing how to partner with the appropriate outsourcing organization is essential (<xref ref-type="bibr" rid="scirp.135913-96">
       Kaipia &amp; Turkulainen, 2016
      </xref>). Understanding the cost of outsourcing is vital for managers partnering with an outsourced organization (<xref ref-type="bibr" rid="scirp.135913-105">
       Lacity et al., 2016
      </xref>). When comparing outsourcing contract options, manufacturing managers must analyze the final process cost and uncertain demands (<xref ref-type="bibr" rid="scirp.135913-139">
       Nosoohi &amp; Nookabadi, 2016
      </xref>). An outsourcing plan should include the cost suppliers will charge and an estimate of the uncertainty costs (<xref ref-type="bibr" rid="scirp.135913-139">
       Nosoohi &amp; Nookabadi, 2016
      </xref>). Similarly, managers must understand how to design, control, and measure outsourcing practices (<xref ref-type="bibr" rid="scirp.135913-97">
       Kang et al., 2014
      </xref>). Outsourcing may help organizational decision-makers to show more efficiency and cost-effectiveness (<xref ref-type="bibr" rid="scirp.135913-125">
       Mensah et al., 2015
      </xref>). When developing a strategy for outsourcing, managers must act attentive to cost information for products and services.</p>
     <p>Understanding automotive manufacturing managers’ strategies for implementing outsourcing is vital research to explore (<xref ref-type="bibr" rid="scirp.135913-51">
       Drauz, 2014
      </xref>). Managers should identify the best strategic approach when implementing an outsourcing plan. For over three decades, U.S. manufacturers have outsourced as a corporate strategy to minimize manufacturing and production costs and focus on core competencies (<xref ref-type="bibr" rid="scirp.135913-79">
       Hartman, 2013
      </xref>). A manager should follow a strategic approach before implementing an outsourcing plan with a prospective partner to complete a thorough analysis of the business process and the outsourcing efforts that could reduce costs and improve production. Managers should consider whether outsourcing efforts will affect the organization’s core competencies and affect the organization’s flexibility (<xref ref-type="bibr" rid="scirp.135913-142">
       Odin et al., 2023
      </xref>). Managers who develop a strategy for selecting the appropriate organization before implementing outsourcing activities may achieve favorable results. An analysis of the business process designated for outsourcing is the first step to implementing a plan. Business processes are a logical sequence of interrelated tasks to achieve a successful organizational outcome (<xref ref-type="bibr" rid="scirp.135913-201">
       Xie et al., 2016
      </xref>). Managers could fail to identify the components of a business process because of the complexity of the processes (<xref ref-type="bibr" rid="scirp.135913-73">
       Haeri et al., 2014
      </xref>). Managers from automotive manufacturing organizations must analyze the resources involved in the business processes, which includes resources to perform related activities and produce the desired output (<xref ref-type="bibr" rid="scirp.135913-73">
       Haeri et al., 2014
      </xref>). Managers must designate which business process the organization will outsource before partnering with an outsourcing organization.</p>
     <p>The next step that managers should take as a part of partnering with an outsourcing organization is to analyze whether the efforts will reduce costs and improve production as managers analyze whether outsourcing will reduce costs and improve production. Managers should define a clear outsourcing plan, determine the internal costs and processes, and identify known risks (<xref ref-type="bibr" rid="scirp.135913-106">
       Lacity et al., 2015
      </xref>). The decision to outsource is often the result of managers planning to reduce costs and improve production (<xref ref-type="bibr" rid="scirp.135913-107">
       Lacity &amp; Willcocks, 2014
      </xref>). Although outsourcing in the manufacturing industry is a strategy managers use to reduce costs, the strategy may not improve costs or lead to a competitive advantage (<xref ref-type="bibr" rid="scirp.135913-26">
       Cai &amp; Yang, 2014
      </xref>). Outsourcing of automotive manufacturing functions may reduce costs and improve production (<xref ref-type="bibr" rid="scirp.135913-173">
       Solli-Saether &amp; Gottschalk, 2015
      </xref>). Managers should fully understand the implications of outsourcing automotive production to a supplier, particularly in a different country (<xref ref-type="bibr" rid="scirp.135913-167">
       Schmitt &amp; Van Biesebroeck, 2013
      </xref>). When outsourcing facilities are not in close geographical proximity to the outsourcing organization, decision-makers must consider transportation and logistics costs (<xref ref-type="bibr" rid="scirp.135913-206">
       Yurii et al., 2021
      </xref>). Domestic companies are relocating and outsourcing automotive production activities to America because producing abroad is no longer a low-cost advantage (<xref ref-type="bibr" rid="scirp.135913-147">
       Pearce, 2014
      </xref>). The global automotive industry outsourcing approach is evolving toward a collaborative production strategy (<xref ref-type="bibr" rid="scirp.135913-133">
       Nayak &amp; Sahu, 2014
      </xref>). The results from an exploration of automotive manufacturing plants in North America to determine how to improve production revealed that improvement occurs when managers understand the manufacturing processes (<xref ref-type="bibr" rid="scirp.135913-1">
       Abolhassani &amp; Jaridi, 2016
      </xref>). Improving production may increase operational performance through reduced waste (<xref ref-type="bibr" rid="scirp.135913-137">
       Nieuwenhuis &amp; Katsifou, 2015
      </xref>). Managers who improve production outcomes may develop an adequate plan to partner with outsourcing organizations.</p>
     <p>The third step in the strategic approach for managers planning to implement outsourcing activities is to analyze the potential effect on the organization’s core competencies. Core competence refers to the organization’s survival tasks central to its strategy (<xref ref-type="bibr" rid="scirp.135913-207">
       Zangiski et al., 2013
      </xref>). A manager should understand the organization’s core competencies. Identifying the organization’s core competencies is essential before developing a strategic plan to partner with an outsourced organization (<xref ref-type="bibr" rid="scirp.135913-21">
       Boguslauskas &amp; Kvedaraviciene, 2015
      </xref>). Most managers focus on the organization’s core competencies and outsource other nonessential processes (<xref ref-type="bibr" rid="scirp.135913-22">
       Brettel et al., 2014
      </xref>). During outsourcing, managers should analyze the organization’s core competencies. The last step in the strategic approach for managers planning to implement outsourcing activities is to analyze the role of outsourcing on flexibility. Automotive manufacturing flexibility is improving because managers can adjust and effectively use resources (<xref ref-type="bibr" rid="scirp.135913-124">
       Mendes &amp; Machado, 2015
      </xref>). To increase flexibility, automotive manufacturers may outsource their production (<xref ref-type="bibr" rid="scirp.135913-69">
       Gorane &amp; Kant, 2014
      </xref>). Several key factors relate to flexibility in automotive manufacturing (<xref ref-type="bibr" rid="scirp.135913-126">
       Mishra et al., 2016
      </xref>). The factors are (a) managers possess the ability to adjust and cope with environmental uncertainties, (b) technology enhances manufacturing flexibility, and (c) managers can obtain the number of parts from the outsourcing partner. If a firm outsources, production may improve when managers are flexible.</p>
     <p>Manufacturing within the United States</p>
     <p>The manufacturing industry is vital to the U.S. economy (<xref ref-type="bibr" rid="scirp.135913-10">
       Baily &amp; Bosworth, 2014
      </xref>). Michigan people depend heavily on automobile manufacturing, accounting for 60% of North American light vehicle production (<xref ref-type="bibr" rid="scirp.135913-158">
       Rutherford &amp; Holmes, 2014
      </xref>). Challenges exist for business managers using outsourced manufacturing (<xref ref-type="bibr" rid="scirp.135913-152">
       Presley et al., 2016
      </xref>). Qualitative research is essential to help manufacturing managers align with the challenges that exist for business operations (<xref ref-type="bibr" rid="scirp.135913-131">
       Narasimhan, 2014
      </xref>). The scope of this qualitative single case study was to explore the strategies that automotive manufacturing managers use to partner with the appropriate organization for outsourcing products or services.</p>
     <p>Managers have a role in planning the outsourcing strategies in a full-service vehicle automotive supply network (<xref ref-type="bibr" rid="scirp.135913-37">
       Ciravegna et al., 2013
      </xref>). In a semistructured interview study, full-service vehicle managers were asked why they outsourced an entire product development and manufacturing process to an equipment manufacturer. The decision to outsource full-service vehicles occurred because of the high transaction cost of manufacture (<xref ref-type="bibr" rid="scirp.135913-37">
       Ciravegna et al., 2013
      </xref>). Whether outsourcing part of the manufacturing services of the automobile, managers should carefully review processes when partnering with the outsourcing organization. The advent of lean manufacturing has significantly boosted efficiency in the industry. By eliminating organizational waste, lean manufacturing enhances the quality of products and services (<xref ref-type="bibr" rid="scirp.135913-120">
       Martinez-Jurado &amp; Moyano-Fuentes, 2014
      </xref>). Despite manufacturing trade deficits, the future of manufacturing is promising, mainly because of technological advancements. For example, automation of equipment and robots could substantially increase output (<xref ref-type="bibr" rid="scirp.135913-10">
       Baily &amp; Bosworth, 2014
      </xref>). This shift towards automation and lean manufacturing is a testament to the industry’s continuous efforts to enhance performance and stay competitive.</p>
     <p>The components of an appropriate manufacturing strategy include flexibility, quality, delivery, and cost (<xref ref-type="bibr" rid="scirp.135913-19">
       Birasnav, 2015
      </xref>). The dimensions of TCE could affect the components of a manufacturing strategy and minimize transaction costs, which is essential for production (<xref ref-type="bibr" rid="scirp.135913-196">
       Williamson, 1985
      </xref>). Understanding transaction costs and production is beneficial because of the transformation facing manufacturing. In the past, manufacturing organizations were unwilling to change production based on demand forecasts because the approach may lead to high inventory costs (<xref ref-type="bibr" rid="scirp.135913-150">
       Pollard et al., 2016
      </xref>). A multiple case study included 13 Canadian manufacturing managers who outsourced functions to determine whether the firm benefited from outsourcing (<xref ref-type="bibr" rid="scirp.135913-128">
       Mohiuddin &amp; Su, 2013
      </xref>). The managers from the organizations reflected on whether outsourcing creates value and enables the firm to grow in the marketplace. The findings indicated that outsourcing benefited firms and improved the competitive advantage, but the 13 Canadian manufacturing managers did not release the financial data. However, the Canadian manufacturers identified benefits for the firms when outsourcing, but they could not conclude whether outsourcing resulted in profits (<xref ref-type="bibr" rid="scirp.135913-128">
       Mohiuddin &amp; Su, 2013
      </xref>).</p>
     <p>The quality component of TCE theory applies to the ongoing improvement of the manufacturing process and finished product. A report, Why Does Manufacturing Matter: A Policy Framework, includes strategies for strengthening and improving production through innovation that U.S. manufacturers implement to continue success (<xref ref-type="bibr" rid="scirp.135913-82">
       Helper et al., 2012
      </xref>). Manufacturing complexity involves delivery and cost components. Delivery and cost components in manufacturing are the time to get the product to the customer and reduce costs associated with production (<xref ref-type="bibr" rid="scirp.135913-19">
       Birasnav, 2015
      </xref>). Another study included transformational behavior’s direct and indirect association with manufacturing strategy (<xref ref-type="bibr" rid="scirp.135913-18">
       Birasnav, 2014
      </xref>). The managers shared that the latest technology in the manufacturing industry could reduce time and help to implement lean manufacturing practices. Next, managers empower employees to establish processes to address defect rates and improve quality (<xref ref-type="bibr" rid="scirp.135913-18">
       Birasnav, 2014
      </xref>). The trends for the future are innovation and speed to the customer (<xref ref-type="bibr" rid="scirp.135913-94">
       Jin et al., 2017
      </xref>). These future trends may minimize the products outsourced by manufacturing organizations (<xref ref-type="bibr" rid="scirp.135913-159">
       Rylands et al., 2016
      </xref>). Lean manufacturing practices may improve an organization’s capability to produce goods.</p>
     <p>Outsourcing is a potential alternative to in-house production. While automotive organization managers see the benefits of lean manufacturing practices, outsourcing some assembly components of a car may reduce operating costs (<xref ref-type="bibr" rid="scirp.135913-192">
       Weber et al., 2016
      </xref>). Managers can use lean manufacturing efforts to improve quality, production, and continuous improvement (<xref ref-type="bibr" rid="scirp.135913-136">
       Ngambi &amp; Nkemkiafu, 2015
      </xref>). The lean manufacturing strategies that managers can use for outsourcing are defining interdependent factors of the product and establishing a production plan (<xref ref-type="bibr" rid="scirp.135913-180">
       Sundar et al., 2014
      </xref>). Lean strategies could reduce manufacturing costs (<xref ref-type="bibr" rid="scirp.135913-63">
       Ghobakhloo &amp; Azar, 2018
      </xref>). Similarly, managers in manufacturing organizations should adopt lean principles (<xref ref-type="bibr" rid="scirp.135913-181">
       Susilawati et al., 2015
      </xref>). Managers implementing lean principles look for non-value-added activities to avoid these activities from the manufacturing line. (<xref ref-type="bibr" rid="scirp.135913-92">
       Jasti &amp; Kodali, 2016
      </xref>). Lean principles implemented by managers in the automotive industry could improve productivity and quality (<xref ref-type="bibr" rid="scirp.135913-149">
       Poksinska et al., 2017
      </xref>). A study included the functions involved in the vehicle production process and the impact of implementing lean principles (<xref ref-type="bibr" rid="scirp.135913-17">
       Bevilacqua et al., 2015
      </xref>). The results indicated a decrease in the average time to produce vehicles after implementing lean principles (<xref ref-type="bibr" rid="scirp.135913-17">
       Bevilacqua et al., 2015
      </xref>) and identifying the factors to consider when outsourcing trends in manufacturing and other industries. Managers can review an outsourcing strategy model to explore products manufactured through assembly and identify the processes involved in production (<xref ref-type="bibr" rid="scirp.135913-34">
       Chen &amp; Xiao, 2015
      </xref>). An outsourcing partnering relationship may occur when managers understand the processes involved in producing, assembling, and receiving the finished products. Manufacturing managers need assistance making appropriate decisions when implementing an outsourcing strategy (<xref ref-type="bibr" rid="scirp.135913-103">
       Kumari et al., 2015
      </xref>). An example of a successful application of the outsourcing framework that managers may use is implementing strategies that align with the partnering outsourcing organization’s mission (<xref ref-type="bibr" rid="scirp.135913-71">
       Gunasekaran et al., 2015
      </xref>). Adequate knowledge of outsourcing compliments managers in making the proper decisions to produce good results (<xref ref-type="bibr" rid="scirp.135913-153">
       Rajaeian et al., 2017
      </xref>). Partnering with an outsourced organization is complex, so managers must understand the implications of their decisions.</p>
     <p>Other automotive outsourcing strategies are emerging. A resurfacing strategy is modular outsourcing because of the potential to reduce transactional costs (<xref ref-type="bibr" rid="scirp.135913-80">
       He, 2016
      </xref>). A modular approach is a partial component of an outsourced product (<xref ref-type="bibr" rid="scirp.135913-91">
       Jacobides et al., 2016
      </xref>). The modular approach test includes a modular design and production to verify the cause-and-effect relationships between managerial and strategic benefits (<xref ref-type="bibr" rid="scirp.135913-104">
       Kupota et al., 2015
      </xref>). Product modularity in production might enhance managers’ ability to simplify manufacturing processes. Case study research regarding Fiat Auto emerges to comprehend modularity (<xref ref-type="bibr" rid="scirp.135913-194">
       Whitford &amp; Zirpoli, 2016
      </xref>). The managers from Fiat recognized that production is an essential component of a strategic approach. Automation is another trend in the automotive industry (<xref ref-type="bibr" rid="scirp.135913-182">
       Tavares et al., 2016
      </xref>). Tests conducted on an automobile assembly line using a new, automated, in-line inspection system emerged to explore efficiency and capability (<xref ref-type="bibr" rid="scirp.135913-169">
       Scholer et al., 2015
      </xref>). The results from the assembly line tests indicated that automotive manufacturers could benefit from using these systems by improving productivity and saving costs, strengthening their position in global competition (<xref ref-type="bibr" rid="scirp.135913-169">
       Scholer et al., 2015
      </xref>). The improvements that resulted from the assembly line tests corresponded to the success of outsourcing (<xref ref-type="bibr" rid="scirp.135913-76">
       Handley &amp; Angst, 2015
      </xref>). Improving productivity could help reduce transaction costs. Learning the appropriate cost strategies may help managers understand the cost of a transaction when strategizing the components of the organization’s outsourcing implementation plan with the appropriate partner.</p>
     <p>The automotive manufacturing industry continues to grow (<xref ref-type="bibr" rid="scirp.135913-37">
       Ciravegna et al., 2013
      </xref>). A report from the staff of the <xref ref-type="bibr" rid="scirp.135913-186">
       United Nations Industrial Development Organization [UNIDO] (2013)
      </xref> suggested that revenue from manufacturing reached several trillion U.S. dollars with continued projected growth. Despite the growth in the automotive industry, managers will experience challenges. One challenge is creating environmentally sustainable products (<xref ref-type="bibr" rid="scirp.135913-137">
       Nieuwenhuis &amp; Katsifou, 2015
      </xref>). Manufacturing managers should continue to embrace lean practices, which will aid in sustainability efforts and reduce waste (<xref ref-type="bibr" rid="scirp.135913-116">
       Lugert et al., 2018
      </xref>). Although the automotive industry is progressing, managers should continue analyzing lean data to handle changes in the manufacturing landscape (<xref ref-type="bibr" rid="scirp.135913-116">
       Lugert et al., 2018
      </xref>). Manufacturing organizational management could experience a competitive advantage through sustainability by reducing emissions of gasoline and diesel engines (<xref ref-type="bibr" rid="scirp.135913-160">
       Sabir &amp; Irfan, 2014
      </xref>). Managers should consider the benefits of sustainable products like electric and hybrid vehicles. The future of automotive manufacturing in the midwestern region of the United States is promising because of potential new developments (<xref ref-type="bibr" rid="scirp.135913-158">
       Rutherford &amp; Holmes, 2014
      </xref>). To continue this positive trajectory, managers should invest in the region’s strengths: automotive research and development. This strategic move could integrate the region into the global automotive manufacturing industry, providing a sense of control over the future. With the growth and new developments in the region, managers’ strategic aptitude in partnering with outsourcing organizations could play a crucial role. As outsourcing continues in automotive manufacturing, managers could stay ahead by paying attention to the changing demands of the industry (<xref ref-type="bibr" rid="scirp.135913-166">
       Scherrer-Rathje et al., 2014
      </xref>). By keeping abreast of industry changes, managers could contribute to the organization’s growth and feel empowered.</p>
     <p>Automotive organizational decision-makers must experience outsourcing in the changing global market (<xref ref-type="bibr" rid="scirp.135913-59">
       Fuchs, 2014
      </xref>). As the industry undergoes globalization and technological advances, decision-makers who outsource will face challenges (<xref ref-type="bibr" rid="scirp.135913-170">
       Schulze et al., 2015
      </xref>). Not overlooking technological advances in domestic and international markets is crucial. Developing countries such as Eastern Europe, Russia, and China are poised to gain a competitive advantage through the changing product features in automotive manufacturing capabilities and technological advances (<xref ref-type="bibr" rid="scirp.135913-170">
       Schulze et al., 2015
      </xref>). Decision-makers should focus on understanding the outsourcing processes involved in manufacturing fuel-efficient vehicles (<xref ref-type="bibr" rid="scirp.135913-190">
       Wallington et al., 2017
      </xref>). The outsourcing production functions may contribute to the changing global market. Developed countries outsource production functions to other low-cost countries, which may improve the developed countries’ position in the global economy (<xref ref-type="bibr" rid="scirp.135913-134">
       Neilson et al., 2014
      </xref>). By staying informed, decision-makers can feel prepared for the industry’s changes.</p>
    </sec>
   </sec>
   <sec id="s3">
    <title>3. Research Methodology</title>
    <p>Research Method</p>
    <p>I used a qualitative research method. The qualitative research method is appropriate for exploration (<xref ref-type="bibr" rid="scirp.135913-68">
      Goldberg &amp; Allen, 2015
     </xref>). For this study, I explored strategies automotive manufacturing managers use to partner with the appropriate organization to outsource their services. A qualitative method is appropriate when researchers want to explore and explain a phenomenon (<xref ref-type="bibr" rid="scirp.135913-8">
      Bailey, 2014
     </xref>).</p>
    <sec id="s3_1">
     <title>3.1. Participants</title>
     <p>The participants for this qualitative single case study included automotive manufacturing managers within one automotive company in the midwestern region of the United States. The participants must know about the research topic (<xref ref-type="bibr" rid="scirp.135913-178">
       Starnino, 2016
      </xref>). The participant eligibility criteria included managers who use successful strategies to collaborate with outsourcing organizations, which aligns with the research question in this study. Difficulties exist when balancing a personal and professional perspective while gaining access to participants (<xref ref-type="bibr" rid="scirp.135913-49">
       Doykos et al., 2014
      </xref>). I established a working relationship with participants by sending them an introductory email explaining the intent and purpose of the study and reassuring them of confidentiality. Providing detailed study information to potential participants could influence their decision whether to participate in a study (<xref ref-type="bibr" rid="scirp.135913-28">
       Campbell &amp; Goldman, 2014
      </xref>). I obtained participants’ email addresses from business cards from attending community and networking events. Participants who did not meet the criteria of having experience partnering with an outsourcing organization were not in.</p>
    </sec>
    <sec id="s3_2">
     <title>3.2. Population and Sampling</title>
     <p>The sample consisted of fifteen managers who work for an automotive manufacturing organization that uses successful outsourcing strategies in the midwestern region of the United States. Researchers use purposeful sampling to find participants who will provide rich information on a phenomenon (<xref ref-type="bibr" rid="scirp.135913-154">
       Robinson, 2014
      </xref>). When determining the research design, selecting the sample size is critical. The appropriate participants and the individuals selected should know about the research topic (<xref ref-type="bibr" rid="scirp.135913-41">
       Cope, 2014
      </xref>). Data saturation occurs when an individual collects data with validation from someone who knows the topic (<xref ref-type="bibr" rid="scirp.135913-61">
       Gentles et al., 2015
      </xref>). With a case study, data saturation occurs when no new categories, themes, or explanations emerge from the data (<xref ref-type="bibr" rid="scirp.135913-119">
       Marshall &amp; Rossman, 2014
      </xref>). Data saturation is essential for a complete research study (<xref ref-type="bibr" rid="scirp.135913-204">
       Yin, 2014
      </xref>). For this study, data saturation included data collected from interviews, member checking with follow-up interviews, and reviewing public documents to ensure validity.</p>
     <p>Conducting a Zoom telephone interview at a convenient time for the participants was necessary. Allowing a participant to select when the interview occurs may assist with developing trust and a comfortable environment (<xref ref-type="bibr" rid="scirp.135913-40">
       Connelly &amp; Peltzer, 2016
      </xref>). The participants selected the interview time that suits their schedules and is free from noise and interruptions. Telephone interviews could appear less intrusive and align the power and control to the interviewees in scheduling (<xref ref-type="bibr" rid="scirp.135913-163">
       Saura &amp; Balsas, 2014
      </xref>). I logged into the Zoom meeting by telephone and started the meeting. After an initial conversation with the participants, I selected the record and reminded them of the informed consent form. Prior to an interview, the participant should feel at ease (<xref ref-type="bibr" rid="scirp.135913-50">
       Drabble et al., 2016
      </xref>). I called participants 2 days before the interview to remind them of the interview structure and confirmed the time commitment.</p>
    </sec>
    <sec id="s3_3">
     <title>3.3. Data Collection</title>
     <p>I was the primary data collection instrument for this study. In qualitative research, the researcher is the primary instrument for collecting and analyzing data (<xref ref-type="bibr" rid="scirp.135913-95">
       Kaczynski et al., 2014
      </xref>). The data collection sources consisted of a review of public documents from the company’s website on manufacturing capabilities when partnering with outsourcing organizations, process review documents, and semistructured interviews with member checking. Documentation is a common source of evidence used in case studies (<xref ref-type="bibr" rid="scirp.135913-204">
       Yin, 2014
      </xref>). A document may include information from the company’s website and printed and digital material (<xref ref-type="bibr" rid="scirp.135913-74">
       Hancock &amp; Algozzine, 2016
      </xref>). I reviewed public documents from the company’s website regarding the organization’s manufacturing capabilities. I used the company documentation available for public use to complement the data collected from semistructured interviews and member checking.</p>
     <p>Interviews are essential to collect data in a case study (<xref ref-type="bibr" rid="scirp.135913-204">
       Yin, 2014
      </xref>). The secondary instrument for this study was an interview protocol. Interviews are appropriate for research when seeking to gain knowledge from individuals (<xref ref-type="bibr" rid="scirp.135913-111">
       Lewis, 2015
      </xref>). An interview format is suitable for qualitative research (<xref ref-type="bibr" rid="scirp.135913-155">
       Roeser &amp; Kern, 2015
      </xref>). Using the same interview protocol aligns to ensure the semistructured interviews’ reliability, consistency, and validity. I used an interview protocol for this study to capture participants’ strategies when partnering with an outsourcing organization. Member checking ensures reliability and validity (<xref ref-type="bibr" rid="scirp.135913-119">
       Marshall &amp; Rossman, 2014
      </xref>). I used member checking to enhance reliability and validity. Member checking enhances the validity of the research findings (<xref ref-type="bibr" rid="scirp.135913-183">
       Thomas, 2017
      </xref>), and the researcher can ensure the interpretation and accuracy of the participant’s responses. I applied member checking, followed up to repeat the questions, and confirmed the accuracy of the interpretations. Verifying accuracy may occur when participants can review interpretations (<xref ref-type="bibr" rid="scirp.135913-20">
       Birt et al., 2016
      </xref>). Member checking verifies the accuracy of the interview responses (<xref ref-type="bibr" rid="scirp.135913-20">
       Birt et al., 2016
      </xref>). Participants had the opportunity to member-check the data interpretation to ensure a correct explanation of the information they shared during the interview. Member checking is a process in which individuals seek accurate feedback from the recordings of what the participants stated during the interviews (<xref ref-type="bibr" rid="scirp.135913-119">
       Marshall &amp; Rossman, 2014
      </xref>). Member checking is appropriate to allow research participants to review their interview responses for accuracy and contribute additional insight (<xref ref-type="bibr" rid="scirp.135913-203">
       Yazan, 2015
      </xref>).</p>
     <p>Data Collection Technique</p>
     <p>Methodological triangulation occurs with case study research, which includes collecting information from multiple sources to substantiate the same phenomenon, ensuring overall study validity (<xref ref-type="bibr" rid="scirp.135913-204">
       Yin, 2014
      </xref>). Methodological triangulation is a type of triangulation that may use two or more sources of data (<xref ref-type="bibr" rid="scirp.135913-5">
       Archibald, 2015
      </xref>). In the study, I used methodological triangulation with the data collection techniques, including interviews and public documents on outsourcing operations from the company’s website. Methodological triangulation in qualitative studies may include interviews, observation, and field notes (<xref ref-type="bibr" rid="scirp.135913-30">
       Carter et al., 2014
      </xref>). Multiple sources of data collection may allow for a greater understanding of the strategies to partner with outsourcing organizations. An individual could use methodological triangulation to present a comprehensive, detailed description of study results (<xref ref-type="bibr" rid="scirp.135913-60">
       Fusch &amp; Ness, 2015
      </xref>).</p>
     <p>The primary data collection technique included interviews by using Zoom meetings from my telephone, incorporating semistructured questions, and an interview protocol. Case study research is appropriate for collecting data from several data sources, including interviews (<xref ref-type="bibr" rid="scirp.135913-204">
       Yin, 2014
      </xref>). Handwritten notes on critical participant comments during the Zoom telephone interview occurred during each interview. Notes from telephone interviews can capture auditory cues such as pauses, anger, sarcasm, or curt responses (<xref ref-type="bibr" rid="scirp.135913-144">
       Oltmann, 2016
      </xref>). The cues may allow an individual to ask additional questions and ensure the retrieval of in-depth data from the participants (<xref ref-type="bibr" rid="scirp.135913-42">
       Cuddy et al., 2015
      </xref>). Case study interviews include a researcher asking questions in an unbiased manner with a fluid conversation (<xref ref-type="bibr" rid="scirp.135913-204">
       Yin, 2014
      </xref>). I actively listened to each participant and sought clarification when necessary. When the researcher encourages interviewees to elaborate and clarify answers, they may lead to the respondent providing relevant information to the research project (<xref ref-type="bibr" rid="scirp.135913-86">
       Holstein &amp; Gubrium, 2016
      </xref>). The advantage of a telephone interview data collection technique is that individuals could feel comfortable communicating by phone (<xref ref-type="bibr" rid="scirp.135913-29">
       Carduff et al., 2015
      </xref>).</p>
     <p>I used Zoom Cloud to record and capture the questions and responses with permission from the participant. Zoom functions include recording on mobile devices, desktops, and tablets with approximately 10,000 attendees. When recording interviews, participants should consent to the recording of the interviews (<xref ref-type="bibr" rid="scirp.135913-140">
       Oates, 2015
      </xref>). A smartphone’s voice recorder was the backup plan for recording if a problem occurred with Zoom. When conducting the research, individuals may use recording devices to facilitate a more explicit focus on the details of what participants say (<xref ref-type="bibr" rid="scirp.135913-43">
       Cumming, Strnadová, Knox, &amp; Parmenter, 2014
      </xref>). Note-taking during case study research is appropriate (<xref ref-type="bibr" rid="scirp.135913-204">
       Yin, 2014
      </xref>). If there were an instance of a participant declining to have their interview recorded, I was prepared to utilize handwritten notes for the Zoom telephone interviews. For telephone interviews, background noise may cause distractions. The location of the phone interview may influence the interview’s tone if background noise exists (<xref ref-type="bibr" rid="scirp.135913-197">
       Witty et al., 2014
      </xref>). The participant determined the interview date and time. To encourage participants to share the strategies they use to partner with an outsourcing organization, I confirmed the commitment to the participants regarding the confidentiality of the research.</p>
     <p>For this study, member checking occurred to help ensure accuracy. Member checking is vital in maintaining accuracy in a study (<xref ref-type="bibr" rid="scirp.135913-41">
       Cope, 2014
      </xref>). After each interview, I explained member checking and that I would schedule a follow-up member checking interview. I contacted each participant by phone within a week after the interview to review and validate their feedback to ensure an accurate interpretation of their responses to the interview questions. If the participant suggested changes to the interpretation responses, I incorporated changes and kept the initial response. Member checking is participant verification to improve accuracy, credibility, and validity (<xref ref-type="bibr" rid="scirp.135913-78">
       Harper &amp; Cole, 2012
      </xref>). Document review includes reviewing relevant documents to support the exploration of a phenomenon (<xref ref-type="bibr" rid="scirp.135913-156">
       Rohwer et al., 2015
      </xref>). I conducted semistructured interviews and reviewed public documents from the company’s website. Company documents may appear as a good source of information on the topic of interest (<xref ref-type="bibr" rid="scirp.135913-195">
       Wieland et al., 2014
      </xref>). Case study research is appropriate for collecting data from several data sources, including interviews (<xref ref-type="bibr" rid="scirp.135913-204">
       Yin, 2014
      </xref>). A review of handwritten notes regarding critical comments from participants occurred during each interview. An advantage of using records from a company’s website is that the information is readily and publicly available (<xref ref-type="bibr" rid="scirp.135913-67">
       Gök et al., 2015
      </xref>). A disadvantage is that the company’s website may not always contain pertinent information (<xref ref-type="bibr" rid="scirp.135913-66">
       Glesne &amp; Peshkin, 2015
      </xref>). Conducting a pilot study enables the researcher to gather information before conducting an extensive study, which can require much time (<xref ref-type="bibr" rid="scirp.135913-83">
       Henson &amp; Jeffrey, 2016
      </xref>). I did not conduct a pilot study for this single case study.</p>
     <p>
      <xref ref-type="bibr" rid="scirp.135913-"></xref>Data Organization Technique</p>
     <p>Managing and organizing data is essential in research (<xref ref-type="bibr" rid="scirp.135913-175">
       Sotiriadou et al., 2014
      </xref>). Reviewing the content of data results and appropriately organizing will align with the coding of themes during the analysis (<xref ref-type="bibr" rid="scirp.135913-30">
       Carter et al., 2014
      </xref>). Organizing the data includes the identification number that applies to each participant’s interview recording and notes. Note-taking during case study research is a recommendation (<xref ref-type="bibr" rid="scirp.135913-204">
       Yin, 2014
      </xref>). Although the interviewees can receive digital recordings, note-taking is just as beneficial during interviews (<xref ref-type="bibr" rid="scirp.135913-204">
       Yin, 2014
      </xref>). To ensure confidentiality, all notes and recordings contained the participant’s unique identification number. For example, the first automotive manager in the interview received labeling as AM1. The proceeding automotive managers interviewed received labeling from AM2 to AM4. Protecting the identity and confidentiality of research subjects is a critical component in research (<xref ref-type="bibr" rid="scirp.135913-121">
       McDermid et al., 2014
      </xref>).</p>
     <p>I typed all interview responses into NVivo 11. NVivo 11 is a crucial software program in identifying themes from interview data (<xref ref-type="bibr" rid="scirp.135913-16">
       Bernard et al., 2016
      </xref>). NVivo software appropriately manages data in a case study (<xref ref-type="bibr" rid="scirp.135913-41">
       Cope, 2014
      </xref>). Data can align appropriately into NVivo software for themes and patterns across interviews (<xref ref-type="bibr" rid="scirp.135913-77">
       Haque et al., 2017
      </xref>; <xref ref-type="bibr" rid="scirp.135913-118">
       Markkanen et al., 2017
      </xref>). NVivo can include themes concerning participants’ interview data in qualitative research studies (<xref ref-type="bibr" rid="scirp.135913-13">
       Bell, 2014
      </xref>). I used a password-protected flash drive to transcribe interview responses, data from member checking, and data collected from public records from the company’s website. The flash drive, any handwritten notes, and consent forms will remain in a locked file cabinet for 5 years from the date of completion after the University Chief Academic Officer’s (CAO) approval. After 5 years, written notes will be shredded and deleted from the flash drive and computer.</p>
    </sec>
    <sec id="s3_4">
     <title>3.4. Data Analysis</title>
     <p>The four types of triangulations for case studies include data, investigator, theory, and methodological (<xref ref-type="bibr" rid="scirp.135913-204">
       Yin, 2014
      </xref>). Methodological triangulation involves using more than one kind of method to study a phenomenon (<xref ref-type="bibr" rid="scirp.135913-145">
       Palinkas et al., 2015
      </xref>). I used methodological triangulation for this qualitative single case study. Conducting the data analysis and providing a methodological triangulation included two data collection techniques. This study included semistructured interviews and a review of public documents from the company’s website regarding manufacturing capabilities when partnering with outsourcing organizations. In qualitative research, organizing, evaluating, and understanding hidden patterns align with the data analysis process (<xref ref-type="bibr" rid="scirp.135913-12">
       Bedwell et al., 2015
      </xref>). I sought to understand the descriptions and explanations and followed a 5-step data analysis process to identify and code themes from the data. The process of coding the themes includes (a) compiling data, (b) disassembling the data, (c) reassembling the data, (d) interpreting the meaning of the data, and (e) concluding the data (<xref ref-type="bibr" rid="scirp.135913-204">
       Yin, 2014
      </xref>).</p>
     <p>The analysis of qualitative data involves unraveling the data collected. The first analytic phase was compiling data into a formal database. After each interview, I uploaded the transcribed data and the data from public records from the company’s website into NVivo 11. NVivo is a qualitative data analysis (QDA) computer software package that may improve research quality (<xref ref-type="bibr" rid="scirp.135913-88">
       Houghton et al., 2015
      </xref>). With NVivo, the researcher can manage and organize the data, facilitate the data analysis, identify themes, glean insight, and develop conclusions (<xref ref-type="bibr" rid="scirp.135913-200">
       Woods et al., 2016
      </xref>). NVivo is appropriate for a study that includes coding the data and developing themes or categories (<xref ref-type="bibr" rid="scirp.135913-175">
       Sotiriadou et al., 2014
      </xref>). A similar qualitative data analysis software is ATLAS (<xref ref-type="bibr" rid="scirp.135913-175">
       Sotiriadou et al., 2014
      </xref>). NVivo is user-friendly, unlike ATLAS, with little coding structure and does not include simultaneous use of the software by multiple users (<xref ref-type="bibr" rid="scirp.135913-32">
       Chandra &amp; Shang, 2017
      </xref>). I used NVivo 11 as the computer software package because it aligns with the data analysis process for this study.</p>
     <p>The second phase, disassembling the data in the database, comprised breaking down the compiled data into smaller fragments and coding. Data analysis will help provide themes and patterns (<xref ref-type="bibr" rid="scirp.135913-119">
       Marshall &amp; Rossman, 2014
      </xref>). The third phase involved reassembling the data and seeing emerging themes and patterns. I analyzed the data collected for themes. Analyzing themes involves searching for a relationship between the data (<xref ref-type="bibr" rid="scirp.135913-154">
       Robinson, 2014
      </xref>). I continued to look for newly published studies and current literature relevant to the research. Exploring new research that becomes available could lead to an understanding of new themes (<xref ref-type="bibr" rid="scirp.135913-90">
       Jääskelä &amp; Nissilä, 2015
      </xref>). Newly published studies could align with the findings of this study and reflect the results of the conceptual framework for transaction cost economics. Themes can align with the fourth phase, interpreting data. Understanding and becoming familiar with the data could lead researchers to interpret the data. The interpretive nature of qualitative research is essential to researchers in engaging conscientiously in a subjective perception of another person’s experience in the context of their own experience (<xref ref-type="bibr" rid="scirp.135913-38">
       Clark &amp; Vealé, 2018
      </xref>). The final phase in data analysis is the conclusions. Conclusions could include the significance of a study’s findings (<xref ref-type="bibr" rid="scirp.135913-204">
       Yin, 2014
      </xref>). The findings correlate to the conceptual framework and transaction cost economics and to developing strategies that automotive manufacturing managers use to partner with the appropriate organization to outsource their services.</p>
     <p>Reliability and Validity</p>
     <p>As the vital instrument, I ensured dependability through member checking. Dependability includes the reliability and consistency of a study (<xref ref-type="bibr" rid="scirp.135913-199">
       Wood Jr. et al., 2014
      </xref>). Qualitative studies must include the trustworthiness of research through dependability (<xref ref-type="bibr" rid="scirp.135913-4">
       Anney, 2014
      </xref>). Following the direction of <xref ref-type="bibr" rid="scirp.135913-199">
       Wood Jr. et al. (2014)
      </xref>, semistructured interviews with open-ended interview questions is the approach for all participants with the interview questions in the same sequence. Dependability ensures the integrity of collecting data and findings (<xref ref-type="bibr" rid="scirp.135913-119">
       Marshall &amp; Rossman, 2014
      </xref>). This study included members checking for the accuracy of data collected from interviews to address dependability. Member checking is integral to the qualitative research (<xref ref-type="bibr" rid="scirp.135913-20">
       Birt et al., 2016
      </xref>). Member checking is the process by researchers to review the interpretation of the participant’s responses to support data completeness and interpretation accuracy (<xref ref-type="bibr" rid="scirp.135913-119">
       Marshall &amp; Rossman, 2014
      </xref>). After the initial interview, a follow-up meeting was necessary to check the members’ reliability. Credibility, dependability, confirmability, and transferability are appropriate for quality case study research (<xref ref-type="bibr" rid="scirp.135913-9">
       Baillie, 2015
      </xref>). Individuals use the criteria of credibility, dependability, confirmability, and transferability for trustworthy research (<xref ref-type="bibr" rid="scirp.135913-41">
       Cope, 2014
      </xref>). Maintaining rigor when conducting research includes the criteria of credibility, dependability, confirmability, and transferability (<xref ref-type="bibr" rid="scirp.135913-130">
       Morse, 2015
      </xref>). Individuals conducting research should engage with participants, conduct member checking, provide thick descriptions, and develop a coding system to prevent researcher bias and flawed case study analysis (<xref ref-type="bibr" rid="scirp.135913-130">
       Morse, 2015
      </xref>).</p>
     <p>The dependability process includes the data’s stability (<xref ref-type="bibr" rid="scirp.135913-119">
       Marshall &amp; Rossman, 2014
      </xref>). I used member checking to establish validity within the data. Individuals conducting research can use member checking to validate the accuracy of the data collected during interviews (<xref ref-type="bibr" rid="scirp.135913-20">
       Birt et al., 2016
      </xref>). After the interviews, I scheduled a follow-up session with each participant. To ensure credibility, the research participants should review interview responses, interpret the data, and add comments to confirm or disconfirm interview responses (<xref ref-type="bibr" rid="scirp.135913-20">
       Birt et al., 2016
      </xref>). To achieve credibility, triangulation is appropriate for a qualitative single case study, as noted by <xref ref-type="bibr" rid="scirp.135913-204">
       Yin (2014)
      </xref>. I used methodological triangulation to enhance creditability, including collecting data from interviews, member checking, and public documents from the company’s website. A rigorous interview approach is appropriate (<xref ref-type="bibr" rid="scirp.135913-185">
       Twyman et al., 2014
      </xref>). Through member checking, participants verified the interpretation of responses to the interview questions to enhance the credibility of the qualitative study (<xref ref-type="bibr" rid="scirp.135913-41">
       Cope, 2014
      </xref>). I collected data from semistructured interviews, completed member checking, used an interview protocol to maintain a consistent interview technique, and ensured credibility. I reviewed the automotive company’s website for public company documents on partnering with outsourcing organizations to enhance the credibility of the findings. The methodological triangulation of these two data sources enhanced the credibility of the results.</p>
     <p>Transferability aligns with the degree to which the results of qualitative research transfer to other contexts with other respondents (<xref ref-type="bibr" rid="scirp.135913-4">
       Anney, 2014
      </xref>). To achieve transferability, I provided a detailed description of the study findings for future researchers. Detailed descriptions are sufficient for transferability in other settings (<xref ref-type="bibr" rid="scirp.135913-154">
       Robinson, 2014
      </xref>). Facilitating transferability includes providing a detailed description of the inquiry and carefully selecting participants for the study. Transferability occurs when the reader assesses whether the findings are transferable to their setting (<xref ref-type="bibr" rid="scirp.135913-101">
       Korstjens &amp; Moser, 2018
      </xref>).</p>
     <p>The confirmability of a study applies to whether the results receive confirmation and support from other researchers (<xref ref-type="bibr" rid="scirp.135913-41">
       Cope, 2014
      </xref>). Confirmability occurs when the study’s individual confirms the findings (<xref ref-type="bibr" rid="scirp.135913-154">
       Robinson, 2014
      </xref>). Using methodological triangulation, completing interviews and member checking, and reviewing public documents can enhance credibility and confirmability. Confirmability is appropriate when interpretations emerge and the findings come directly from the data (<xref ref-type="bibr" rid="scirp.135913-41">
       Cope, 2014
      </xref>). Addressing confirmability, I used the recordings from semistructured interviews and member-checking to ensure the data and interpretation reflected the participants’ responses. I continued conducting the semistructured interviews and reviewed documents until data saturation occurred. Data saturation is the process during the interview when the information from the participants encompasses the same data, and no new themes emerge (<xref ref-type="bibr" rid="scirp.135913-60">
       Fusch &amp; Ness, 2015
      </xref>). Follow-up telephone interviews and member checking took place to ensure data saturation. Data saturation is critical to qualitative research, and researchers should continue interviewing until data becomes redundant (<xref ref-type="bibr" rid="scirp.135913-162">
       Saunders et al., 2018
      </xref>). Saturation may arise from collected data (<xref ref-type="bibr" rid="scirp.135913-145">
       Palinkas et al., 2015
      </xref>).</p>
    </sec>
   </sec>
   <sec id="s4">
    <title>4. Application to Professional Practice, Findings, and Conclusions</title>
    <p>The emerging themes occurred into each of the following five core thematic categories: (a) use various agreements for deliverables and flexible agreements, (b) assess supplier metrics prior to partnering, (c) establish trust and foster relationships with suppliers, (d) assess financial factors, and (e) assess capacity, efficiency, and reliability factors. The study’s findings apply to automotive manufacturing business practices in several ways. Automotive manufacturing leaders can apply the developed strategies to outsourcing arrangements. The study’s findings disclosed automotive manufacturing leaders’ views within one company regarding strategies leaders use for partnering with an outsourcing organization. Current and new automotive managers who are or are considering partnering with an outsourcing organization will need relevant information on how supplier agreements affect their organizations. Moreover, current and new automotive manufacturing managers may use the study results to develop additional criteria and processes for partnering with outsourcing organizations and reducing costs. The findings from this study may help current and new automotive manufacturing managers develop strategies that could lead to improved negotiations of outsourcing agreements. With the complexity of outsourcing, these findings might aid in improving the understanding of how outsourcing partnerships can impact business performance.</p>
    <p>The findings from this study provide strategies for managers to partner with suppliers and determine how to compare the costs of performing the services internally or externally. Cost reduction is one of the motivations for an organization to outsource (<xref ref-type="bibr" rid="scirp.135913-105">
      Lacity et al., 2016
     </xref>). If managers focus on reasons besides costs for outsourcing, the organization can gain a competitive advantage. Findings from this study also demonstrate how outsourcing can affect efficiency gains. Efficiency is a component of the transaction cost economics theory and part of the strategy for partnering with a supplier. Seeking to understand the efficiency of the outsourcing organization is appropriate (<xref ref-type="bibr" rid="scirp.135913-109">
      Lashgari et al., 2014
     </xref>). Data from this study gave automotive manufacturing managers the knowledge to assess supplier efficiency.</p>
    <p>Implications for Social Change</p>
    <p>The study’s results may facilitate a positive social change as automotive managers incorporate successful strategies when partnering with an outsourcing organization. The findings revealed that automotive manufacturing managers and suppliers collaborate to seek creative solutions when problems arise. Creative solutions may add value for other organizations to build relationships and partner with suppliers. One of the participants shared that the automotive manufacturer convinced the local transit agencies to add new bus schedules when a supplier was having difficulty hiring for a new shift. The new bus schedules allowed the supplier to hire individuals and fulfill their production agreements. Outsourcing may also impact social change by increasing overall efficiency by distributing tasks to people with the appropriate skill level for those tasks and letting highly skilled workers be more productive. Automotive manufacturers partner with suppliers to help provide additional skills by training their prospective workforces because they want to be ready for future innovation. The training is investing in individuals’ lives better, creating social change, and building sustainable communities.</p>
    <p>Recognizing the proper handling of resources is beneficial when managing suppliers and product development (<xref ref-type="bibr" rid="scirp.135913-85">
      Hitt et al., 2016
     </xref>). Recognizing the benefits of handling resources can help automotive organizations gain a competitive advantage. The same strategies that will lead to competitive advantage will aid automotive managers in developing skilled workers and improving efficiency and manufacturing costs. The results of the study include details of how outsourcing allows cost efficiency. When an organization outsources across a range of suppliers, the outsourcing suppliers can improve the processes that lead to operating efficiencies. While the organization gains efficiencies, they also gain access to the outsourcing suppliers’ specialized skills. Access to the supplier’s practices can lead to sharing and training. As mentioned in the study results, the automotive manufacturing organization considers the work arrangements of the suppliers and is willing to invest in assisting with the development of their existing staff or within the community when circumstances demand.</p>
    <p>When managers use these strategies, they may also affect social change by donating time and resources to local events or non-competing social organizations to benefit residents in the community. The use of effective strategies when partnering with an outsourcing organization may lead to (a) streamlining of internal processes and the elimination of waste from the automotive scrap material and (b) improve environmental sustainability for the community. Managers of automotive manufacturing organizations may have trouble when implementing sustainable manufacturing, but they should know that the potential impact of economic, environmental, and social implications outweigh any inconvenience (<xref ref-type="bibr" rid="scirp.135913-179">
      Stoycheva et al., 2018
     </xref>). Managers may continue to affect social change through their work with suppliers by reducing waste in the automotive manufacturing processes.</p>
    <p>Recommendations for Action</p>
    <p>The study results relate to business leaders who must partner with an outsourcing organization. Automotive manufacturing managers can implement the results to overcome the challenges of partnering with an outsourcing organization. The study findings revealed that using various and flexible agreements, assessing supplier metrics before partnering, establishing trust and fostering relationships with suppliers, conducting cost analysis, and assessing capacity, efficiency, and reliability allow for a favorable relationship with the supplier. Having an agreement for deliverables is essential for organizations that are considering outsourcing. A strong strategy around automotive operation is critical to ensuring capacity, efficiency, and reliability (<xref ref-type="bibr" rid="scirp.135913-172">
      Soleimani et al., 2018
     </xref>). If strategies do not exist within the company, managers should develop strategies to include agreement terms and conditions of what the supplier is expected to deliver.</p>
    <p>Managers should develop and evolve supporting strategies to achieve the objectives (<xref ref-type="bibr" rid="scirp.135913-14">
      Benali &amp; El Asri, 2016
     </xref>). Managers should also consider the roles and responsibilities of individuals involved with the deliverables. To ensure that the outsourcing partner delivers as agreed, managers also designate a sourcing manager to support the strategy for outsourcing partnerships. Including a sourcing manager in the strategy should enhance communication and supplier relationships. In addition, a sourcing manager may help to prevent possible risks to the organization and disrupt the outsourcing partnership. Approximately 75% of companies that outsource experience at least one disruption a year and most of the disruptions are caused by suppliers (<xref ref-type="bibr" rid="scirp.135913-205">
      Yoon et al., 2018
     </xref>). Proactively engaging with suppliers and assessing their capability will help develop solutions.</p>
    <p>Limitations and Further Research</p>
    <p>The first limitation was that the participant’s responses to the interview questions were self-reported, and they may not have recalled all the details relating to the strategies for partnering when outsourcing services. Participants not being able to recall past details can lead to bias. A recommendation for further research is to be aware that participants may not recall all details, and to minimize bias select an appropriate period for participants to recall details. A short recall period is preferable to a long one (<xref ref-type="bibr" rid="scirp.135913-2">
      Althubaiti, 2016
     </xref>). The second limitation of the study was that it focused only on one automotive manufacturing company. One manufacturing organization may or may not reflect the approaches of similar manufacturing organizations. A recommendation for further research is to include more than one organization to gain perspective on strategies used in other environments. Managers need knowledge of different sourcing strategies to improve organizational performance (<xref ref-type="bibr" rid="scirp.135913-146">
      Park et al., 2018
     </xref>). Another recommendation for future research is to use other methodologies and designs to further research managers’ strategies when partnering with an outsourcing organization.</p>
    <p>Conclusions</p>
    <p>There remains a need for investigations of the strategy dynamics in the automotive industry to generate positive outcomes (<xref ref-type="bibr" rid="scirp.135913-44">
      Damert &amp; Baumgartner, 2018
     </xref>). Practical strategies for partnering with an outsourcing organization are essential for improving financial profitability. However, managers need to use various agreements for deliverables to partner with the appropriate organization to outsource their services and recognize when they must be flexible. This qualitative single case study revealed the importance of establishing trust and building relationships by automotive manufacturing managers’ planning to partner with outsourcing organizations. Establishing trust and building relationships includes effective collaboration, support, understanding the outsourcing organization processes, and getting to know their staff. Strategies to get to know the outsourcing organization staff include frequent interactions through site visits and becoming knowledgeable of their product. Trust is a critical partnership component and supports an environment of effective collaboration.</p>
    <p>With the increasing demand for outsourcing, automotive manufacturing managers should carefully partner with suppliers. Not identifying the right supplier may lead to underperforming on their promises and providing poor quality work (<xref ref-type="bibr" rid="scirp.135913-99">
      Zhang et al., 2012
     </xref>). A key finding was conducting a cost analysis to assess an outsourcing organization’s financial structure. Automotive managers should evaluate whether the outsourcing organization has the resources and ability to meet production and deliver as agreed. The cost analysis is critical to the automotive manager if the expectation is to see efficiency improvement or cost savings because of outsourcing. To maintain organizational performance in the competitive economy, these strategies may provide strategies for managers responsible for partnering with outsourcing organizations to outsource services.</p>
   </sec>
  </sec>
 </body><back>
  <ref-list>
   <title>References</title>
   <ref id="scirp.135913-ref1">
    <label>1</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Abolhassani, A.,&amp;Jaridi, M. (2016). Productivity Enhancement in North American Automotive Industry: Strategies and Techniques to Reduce Hours-per-Vehicle. International Journal of Productivity and Performance Management, 65, 1112-1136. &gt;https://doi.org/10.1108/IJPPM-08-2015-0117
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref2">
    <label>2</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Althubaiti, A. (2016). Information Bias in Health Research: Definition, Pitfalls, and Adjustment Methods. Journal of Multidisciplinary Healthcare, 9, 211-217. &gt;https://doi.org/10.2147/JMDH.S104807
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref3">
    <label>3</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Anastassiu, M., Santoro, F. M., Recker, J.,&amp;Rosemann, M. (2016). The Quest for Organizational Flexibility: Driving Changes in Business Processes through the Identification of Relevant Context. Business Process Management Journal, 22, 763-790. &gt;https://doi.org/10.1108/BPMJ-01-2015-0007
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref4">
    <label>4</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Anney, V. (2014). Ensuring the Quality of the Findings of Qualitative Research: Looking at Trustworthiness Criteria. Journal of Emerging Trends in Educational Research and Policy Studies, 5, 272-281. &gt;https://repository.udsm.ac.tz/server/api/core/bitstreams/cead7c8d-1b27-4a88-809f-3a82a3cbf575/content
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref5">
    <label>5</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Archibald, M. M. (2015). Investigator Triangulation: A Collaborative Strategy with Potential for Mixed Methods Research. Journal of Mixed Methods Research, 10, 228-250. &gt;https://doi.org/10.1177/1558689815570092
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref6">
    <label>6</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Argyres, N.,&amp;Mostafa, R. (2016). Knowledge Inheritance, Vertical Integration, and Entrant Survival in the Early U.S. Auto Industry. Academy of Management Journal, 59, 1474-1492. &gt;https://doi.org/10.5465/amj.2013.0180
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref7">
    <label>7</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Awasthi, A., Adetiloye, T.,&amp;Crainic, T. G. (2016). Collaboration Partner Selection for City Logistics Planning under Municipal Freight Regulations. Applied Mathematical Modelling, 40, 510-525. &gt;https://doi.org/10.1016/j.apm.2015.04.058
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref8">
    <label>8</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Bailey, L. F. (2014). The Origin and Success of Qualitative Research. International Journal of Market Research, 56, 167-184. &gt;https://doi.org/10.2501/IJMR-2014-013
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref9">
    <label>9</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Baillie, L. (2015). Promoting and Evaluating Scientific Rigor in Qualitative Research. Nursing Standard, 29, 36-42. &gt;https://doi.org/10.7748/ns.29.46.36.e8830
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref10">
    <label>10</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Baily, M. N.,&amp;Bosworth, B. P. (2014). US Manufacturing: Understanding Its Past and Its Potential Future. Journal of Economic Perspectives, 28, 3-25. &gt;https://doi.org/10.1257/jep.28.1.3
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref11">
    <label>11</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Barney, J. B. (1986). Strategic Factor Markets: Expectations, Luck, and Business Strategy. Management Science, 42, 1231-1241. &gt;https://doi.org/10.1287/mnsc.32.10.1231
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref12">
    <label>12</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Bedwell, C., McGowan, L.,&amp;Lavender, D. T. (2015). Factors Affecting Midwives; Confidence in Intrapartum Care: A Phenomenological Study. Midwifery, 31, 170-176. &gt;https://doi.org/10.1016/j.midw.2014.08.004
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref13">
    <label>13</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Bell, K. (2014). Exploring Epistemic Injustice through Feminist Social Work Research. Affilia, 29, 165-177. &gt;https://doi.org/10.1177/0886109913516457
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref14">
    <label>14</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Benali, A.,&amp;El Asri, B. (2016). A Mobile-Cloud Based Context-Aware and Interactive Framework for Diabetes Management. International Journal of Engineering Research and Applications, 6, 63-73. &gt;http://ijeas.akdeniz.edu.tr/&gt;https://doi.org/10.1108/01443571211274558
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref15">
    <label>15</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Bennett, D.,&amp;Klug, F. (2012). Logistics Supplier Integration in the Automotive Industry. International Journal of Operations&amp;Production Management, 32, 1281-1305. 
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref16">
    <label>16</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Bernard, H. R., Wutich, A.,&amp;Ryan, G. W. (2016). Analyzing Qualitative Data: Systematic Approaches. Sage.
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref17">
    <label>17</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Bevilacqua, M., Ciarapica, F. E.,&amp;Paciarotti, C. (2015). Implementing Lean Information Management: The Case Study of an Automotive Company. Production Planning&amp;Control, 26, 753-768. &gt;https://doi.org/10.1080/09537287.2014.975167
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref18">
    <label>18</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Birasnav, M. (2014). Relationship Between Transformational Leadership Behaviors and Manufacturing Strategy. International Journal of Organizational Analysis, 22, 205-223. &gt;https://doi.org/10.1108/IJOA-10-2011-0520
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref19">
    <label>19</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Birasnav, M. (2015). Transformational Leadership: The Impact of Its Behaviors on Manufacturing Strategy. Strategic Direction, 31, 25-27. &gt;https://doi.org/10.1108/SD-12-2014-0169
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref20">
    <label>20</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Birt, L., Scott, S., Cavers, D., Campbell, C.,&amp;Walter, F. (2016). Member Checking a Tool to Enhance Trustworthiness or Merely a Nod to Validation? Qualitative Health Research, 26, 1802-1811. &gt;https://doi.org/10.1177/1049732316654870
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref21">
    <label>21</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Boguslauskas, V.,&amp;Kvedaraviciene, G. (2015). Difficulties in Identifying Company’s Core Competencies and Core Processes. Engineering Economics, 62, 75-81. &gt;http://www.inzeko.ktu.lt/index.php/ee 
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref22">
    <label>22</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Brettel, M., Friederichsen, N., Keller, M.,&amp;Rosenberg, M. (2014). How Virtualization, Decentralization and Network Building Change the Manufacturing Landscape: An Industry 4.0 Perspective. International Journal of Mechanical, Industrial Science and Engineering, 8, 37-44. &gt;http://www.waset.org/ 
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref23">
    <label>23</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Brewer, B., Ashenbaum, B.,&amp;Ogden, J. A. (2013). Connecting Strategy‐Linked Outsourcing Approaches and Expected Performance. International Journal of Physical Distribution&amp;Logistics Management, 43, 176-204. &gt;https://doi.org/10.1108/ijpdlm-10-2011-0175
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref24">
    <label>24</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Brunetta, F.,&amp;Peruffo, E. (2014). May Parents Inherit from Heirs? Towards an Understanding of the Parent-Spun-Off Relationship. American Journal of Applied Sciences, 11, 921-928. &gt;https://doi.org/10.3844/ajassp.2014.921.928
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref25">
    <label>25</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Cabral, S., Quelin, B.,&amp;Maia, W. (2014). Outsourcing Failure and Reintegration: The Influence of Contractual and External Factors. Long Range Planning, 47, 365-378. &gt;https://doi.org/10.1016/j.lrp.2013.08.005 
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref26">
    <label>26</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Cai, S.,&amp;Yang, Z. (2014). on the Relationship Between Business Environment and Competitive Priorities: The Role of Performance Frontiers. International Journal of Production Economics, 151, 131-145. &gt;https://doi.org/10.1016/j.ijpe.2014.02.005
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref27">
    <label>27</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Callahan, C. M., Smith, R. E.,&amp;Spencer, A. W. (2013). The Long-Term Performance Consequences of Strategic Partnerships in High Tech Industries. Journal of Applied Business Research, 29, 217-134. &gt;https://doi.org/10.19030/jabr.v29i1.7569
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref28">
    <label>28</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Campbell, F. A.,&amp;Goldman, B. D. (2014). Why or Why Not? A Qualitative Analysis of Low-Income Parents’ Reasons for Accepting or Rejecting Simulated Research Enrollment for Their Children. Social Work in Public Health, 29, 686-700. &gt;https://doi.org/10.1080/19371918.2014.938387
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref29">
    <label>29</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Carduff, E., Murray, S. A.,&amp;Kendall, M. (2015). Methodological Developments in Qualitative Longitudinal Research: The Advantages and Challenges of Regular Telephone Contact with Participants in a Qualitative Longitudinal Interview Study. BMC Research Notes, 8, Article No. 142. &gt;https://doi.org/10.1186/s13104-015-1107-y
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref30">
    <label>30</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Carter, N., Bryant-Lukosius, D., DiCenso, A., Blythe, J.,&amp;Neville, A. J. (2014). The Use of Triangulation in Qualitative Research. Oncology Nursing Forum, 41, 545-547. &gt;https://doi.org/10.1188/14.ONF.545-547
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref31">
    <label>31</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Cesarani, M. (2014). Competitive Dimension of Outsourcing Relations in Global Networks. Journal of Management, 2, 97-112. &gt;https://doi.org/10.15640/jmpp.v2n4a5
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref32">
    <label>32</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Chandra, Y.,&amp;Shang, L. (2017). An RQDA-Based Constructivist Methodology for Qualitative Research. Qualitative Market Research: An International Journal, 20, 90-112. &gt;https://doi.org/10.1108/QMR-02-2016-0014
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref33">
    <label>33</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Chatha, K. A.,&amp;Butt, I. (2015). Themes of Study in Manufacturing Strategy Literature. International Journal of Operations&amp;Production Management, 35, 604-698. &gt;https://doi.org/10.1108/IJOPM-07-2013-0328
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref34">
    <label>34</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Chen, K.,&amp;Xiao, T. (2015). Outsourcing Strategy and Production Disruption of Supply Chain with Demand and Capacity Allocation Uncertainties. International Journal of Production Economics, 170, 243-257. &gt;https://doi.org/10.1016/j.ijpe.2015.09.028
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref35">
    <label>35</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Chou, S. W., Techatassanasoontorn, A. A.,&amp;Hung, I. H. (2015). Understanding Commitment in Business Process Outsourcing Relationships. Information&amp;Management, 52, 30-43. &gt;https://doi.org/10.1016/j.im.2014.10.003
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref36">
    <label>36</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Christ, M. H., Mintchik, N., Long, C.,&amp;Bierstaker, J. L. (2015). Outsourcing the Information System: Determinants, Risks, and Implications for Management Control Systems. Journal of Management Accounting Research, 27, 77-120. &gt;https://doi.org/10.2308/jmar-50847
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref37">
    <label>37</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Ciravegna, L., Romano, P.,&amp;Pilkington, A. (2013). Outsourcing Practices in Automotive Supply Networks: An Exploratory Study of Full Service Vehicle Suppliers. International Journal of Production Research, 51, 2478-2490. &gt;https://doi.org/10.1080/00207543.2012.746797
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref38">
    <label>38</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Clark, K. R.,&amp;Vealé, B. L. (2018). Strategies to Enhance Data Collection and Analysis in Qualitative Research. Radiologic Technology, 89, 482-485. &gt;http://www.asahp.org/journal-of-allied-health/ 
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref39">
    <label>39</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Coase, R. (1937). The Nature of the Firm. Economica, 4, 386-405. &gt;https://doi.org/10.1111/j.1468-0335.1937.tb00002.x
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref40">
    <label>40</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Connelly, L. M.,&amp;Peltzer, J. N. (2016). Underdeveloped Themes in Qualitative Research: Relationship with Interviews and Analysis. Clinical Nurse Specialist, 30, 52-57. &gt;https://doi.org/10.1097/NUR.0000000000000173
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref41">
    <label>41</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Cope, D. G. (2014). Methods and Meanings: Credibility and Trustworthiness of Qualitative Research. Oncology Nursing Forum, 41, 89-91. &gt;https://doi.org/10.1188/14.ONF.89-91
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref42">
    <label>42</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Cuddy, A. J. C., Wilmuth, C. A., Yap, A. J.,&amp;Carney, D. R. (2015). Preparatory Power Posing Affects Nonverbal Presence and Job Interview Performance. Journal of Applied Psychology, 100, 1286-1295. &gt;https://doi.org/10.1037/a0038543
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref43">
    <label>43</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Cumming, T. M., StrnadovÁ, I., Knox, M.,&amp;Parmenter, T. (2014). Mobile Technology in Inclusive Research: Tools of Empowerment. Disability&amp;Society, 29, 999-1012. &gt;https://doi.org/10.1080/09687599.2014.886556
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref44">
    <label>44</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Damert, M.,&amp;Baumgartner, R. J. (2018). Intra‐Sectoral Differences in Climate Change Strategies: Evidence from the Global Automotive Industry. Business Strategy and the Environment, 27, 265-281. &gt;https://doi.org/10.1002/bse.1968
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref45">
    <label>45</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     De Backer, K.,&amp;Miroudot, S. (2014). Mapping Global Value Chains. Report No. 159. &gt;http://www.oecd-ilibrary.org
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref46">
    <label>46</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     De Vita, G.,&amp;Tekaya, A. (2015). Hotel Outsourcing under Asset Specificity: The Good, the Bad and the Ugly. Tourism Management, 47, 97-106. &gt;https://doi.org/10.1016/j.tourman.2014.09.012
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref47">
    <label>47</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Diaz-Mora, C.,&amp;Triguero-Cano, A. (2012). Why Do Some Firms Contract out Production? Evidence from Firm-Level Panel Data. Applied Economics, 44, 1631-1644. &gt;https://doi.org/10.1080/00036846.2010.548787
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref48">
    <label>48</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Doval, E. (2016). Is Outsourcing a Strategic Tool to Enhance the Competitive Advantage? Review of General Management, 23, 78-87. &gt;http://www.managementgeneral.ro/ 
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref49">
    <label>49</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Doykos, B., Brinkley-Rubinstein, L., Craven, K., McCormack, M.,&amp;Geller, J. (2014). Leveraging Identity, Gaining Access: Explorations of Self in Diverse Field-Based Research Settings. Journal of Community Practice, 22, 130-149. &gt;https://doi.org/10.1080/10705422.2014.901265
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref50">
    <label>50</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Drabble, L., Trocki, K. F., Salcedo, B., Walker, P. C.,&amp;Korcha, R. A. (2016). Qualitative Social Work, 12, 118-133. &gt;https://doi.org/10.1177/1473325015585613
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref51">
    <label>51</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Drauz, R. (2014). Re-Insourcing as a Manufacturing-Strategic Option during a Crisis: Cases from the Automobile Industry. Journal of Business Research, 67, 346-353. &gt;https://doi.org/10.1016/j.jbusres.2013.01.004
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref52">
    <label>52</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Duan, C., Grover, V., Roberts, N.,&amp;Balakrishnan, N. (2014). Firm Valuation Effects of the Decision to Adopt Relationally Governed Business Process Outsourcing Arrangements. International Journal of Production Research, 52, 4673-4694. &gt;https://doi.org/10.1080/00207543.2014.884289
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref53">
    <label>53</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Edvardsson, I.,&amp;Durst, S. (2014). Outsourcing of Knowledge Processes: A Literature Review. Journal of Knowledge Management, 18, 795-811. &gt;https://doi.org/10.1108/JKM-01-2014-0033
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref54">
    <label>54</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Elia, S., Caniato, F., Luzzini, D.,&amp;Piscitello, L. (2014). Governance Choice in Global Sourcing of Services: The Impact on Service Quality and Cost Saving Performance. Global Strategy Journal, 4, 181-199. &gt;https://doi.org/10.1002/gsj.1078
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref55">
    <label>55</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     El-Khalil, R. (2015). Simulation Analysis for Managing and Improving Productivity: A Case Study of an Automotive Company. Journal of Manufacturing Technology Management, 26, 36-56. &gt;https://doi.org/10.1108/JMTM-03-2013-0024
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref56">
    <label>56</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Erenda, I., Metelko, A., Roblek, V.,&amp;Meško, M. (2018). The Leadership Competencies and Intuitive Decision-Making of Top and Middle Level Managers in the Automotive Industry. In G. Dominici, D. Gandolfo, M. Del Giudice,&amp;R. Lombardi (Eds.), Governing Business Systems Theories and Challenges for Systems Thinking in Practice (pp. 119-140). Springer International. &gt;https://doi.org/10.1007/978-3-319-66036-3_7
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref57">
    <label>57</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Foerstl, K., Kirchoff, J. F.,&amp;Bals, L. (2016). Reshoring and Insourcing: Drivers and Future Research Directions. International Journal of Physical Distribution&amp;Logistics Management, 46, 492-515. &gt;https://doi.org/10.1108/IJPDLM-02-2015-0045
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref58">
    <label>58</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Foss, N. J.,&amp;Weber, L. (2016). Moving Opportunism to the Back Seat: Bounded Rationality, Costly Conflict, and Hierarchical Forms. Academy of Management Review, 41, 61-79. &gt;https://doi.org/10.5465/amr.2014.0105
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref59">
    <label>59</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Fuchs, E. R. (2014). Global Manufacturing and the Future of Technology. Science, 345, 519-520. &gt;https://doi.org/10.1126/science.1250193
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref60">
    <label>60</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Fusch, P. I.,&amp;Ness, L. R. (2015). Are We There Yet? Data Saturation in Qualitative Research. Qualitative Report, 20, 1408-1416. &gt;https://doi.org/10.46743/2160-3715/2015.2281
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref61">
    <label>61</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Gentles, S. J., Charles, C., Ploeg, J.,&amp;McKibbon, K. (2015). Sampling in Qualitative Research: Insights from an Overview of the Methods Literature. Qualitative Report, 20, 1772-1789. &gt;https://doi.org/10.46743/2160-3715/2015.2373
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref62">
    <label>62</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Gerbl, M., McIvor, R., Loane, S.,&amp;Humphreys, P. (2015). A Multi-Theory Approach to Understanding the Business Process Outsourcing Decision. Journal of World Business, 50, 505-518. &gt;https://doi.org/10.1016/j.jwb.2014.08.009
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref63">
    <label>63</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Ghobakhloo, M.,&amp;Azar, A. (2018). Business Excellence via Advanced Manufacturing Technology and Lean-Agile Manufacturing. Journal of Manufacturing Technology Management, 29, 2-24. &gt;https://doi.org/10.1108/JMTM-03-2017-0049
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref64">
    <label>64</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Giustiniano, L.,&amp;Clarioni, G. (2013). The Impact of Outsourcing on Business Performance: An Empirical Analysis. Journal of Modern Accounting and Auditing, 9, 153-168. &gt;http://oaji.net 
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref65">
    <label>65</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Giustiniano, L., Marchegiani, L., Peruffo, E.,&amp;Pirolo, L. (2014). Understanding Outsourcing of Information Systems. In T. Tsiakis, T. Kargidis,&amp;P. Katsaros (Eds.), Approaches and Processes for Managing the Economics of Information Systems (pp. 199-220). IGI Global. &gt;https://doi.org/10.4018/978-1-4666-4983-5.ch012
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref66">
    <label>66</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Glesne, C.,&amp;Peshkin, A. (2015). Becoming Qualitative Researchers: An Introduction. Pearson.
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref67">
    <label>67</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Gök, A., Waterworth, A.,&amp;Shapira, P. (2015). Use of Web Mining in Studying Innovation. Scientometrics, 102, 653-671. &gt;https://doi.org/10.1007/s11192-014-1434-0
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref68">
    <label>68</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Goldberg, A. E.,&amp;Allen, K. R. (2015). Communicating Qualitative Research: Some Practical Guideposts for Scholars. Journal of Marriage&amp;Family, 77, 3-22. &gt;https://doi.org/10.1111/jomf.12153
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref69">
    <label>69</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Gorane, S. J.,&amp;Kant, R. (2014). Supply Chain Practices: Study and Framework for Future Development. International Journal of Logistics Systems and Management, 17, 83-103. &gt;https://doi.org/10.1504/IJLSM.2014.057982
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref70">
    <label>70</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Grant, R. M. (1996). Toward a Knowledge-Based Theory of the Firm. Strategic Management Journal, 17, 109-122. &gt;https://doi.org/10.1002/smj.4250171110
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref71">
    <label>71</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Gunasekaran, A., Irani, Z., Choy, K. L., Filippi, L.,&amp;Papadopoulos, T. (2015). Performance Measures and Metrics in Outsourcing Decisions: A Review for Research and Applications. International Journal of Production Economics, 161, 153-166. &gt;https://doi.org/10.1016/j.ijpe.2014.12.021
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref72">
    <label>72</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Guo, Z. X., Ngai, E. W. T., Yang, C.,&amp;Liang, X. (2015). An RFID-Based Intelligent Decision Support System Architecture for Production Monitoring and Scheduling in a Distributed Manufacturing Environment. International Journal of Production Economics, 159, 16-28. &gt;https://doi.org/10.1016/j.ijpe.2014.09.004
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref73">
    <label>73</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Haeri, A., Rezaie, K.,&amp;Amalnick, M. (2014). Developing a Novel Approach to Assess the Efficiency of Resource Utilization in Organizations: A Case Study for an Automotive Supplier. International Journal of Production Research, 52, 2815-2833. &gt;https://doi.org/10.1080/00207543.2013.839891
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref74">
    <label>74</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Hancock, D.,&amp;Algozzine, B. (2016). Doing Case Study Research: A Practical Guide for Beginning Researchers. Teachers College Press.
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref75">
    <label>75</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Handfield, R. B., Cousins, P. D., Lawson, B.,&amp;Petersen, K. J. (2015). How Can Supply Management Really Improve Performance? A Knowledge-Based Model of Alignment Capabilities. Journal of Supply Chain Management, 51, 3-17. &gt;https://doi.org/10.1111/jscm.12066
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref76">
    <label>76</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Handley, S. M.,&amp;Angst, C. M. (2015). The Impact of Culture on the Relationship Between Governance and Opportunism in Outsourcing Relationships. Strategic Management Journal, 36, 1412-1434. &gt;https://doi.org/10.1002/smj.2300
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref77">
    <label>77</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Haque, S. N., Østerlund, C. S.,&amp;Fagan, L. M. (2017). What’s Ideal? A Case Study Exploring Handoff Routines in Practice. Journal of Biomedical Informatics, 65,159-167. &gt;https://doi.org/10.1016/j.jbi.2016.12.003
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref78">
    <label>78</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Harper, M.,&amp;Cole, P. (2012). Member Checking: Can Benefits Be Gained Similar to Group Therapy? The Qualitative Report, 17, 510-517. &gt;https://doi.org/10.46743/2160-3715/2012.2139
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref79">
    <label>79</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Hartman, P. L. (2013). The Outsourcing to Insourcing Relocation Shift: A Response of US Manufacturers to the Outsourcing Paradigm. Doctoral Dissertation UMI No. 3566257. &gt;https://scholar.afit.edu/etd/964/
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref80">
    <label>80</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     He, W. (2016). A Dynamic Evolutionary Game Model of Modular Production Network. Discrete Dynamics in Nature and Society, 2016, 1-9. &gt;https://doi.org/10.1155/2016/6425158
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref81">
    <label>81</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Helmich, E., Boerebach, B. C. M., Arah, O. A.,&amp;Lingard, L. (2015). Beyond Limitations: Improving How We Handle Uncertainty in Health Professions Education Research. Medical Teacher, 37, 1043-1050. &gt;https://doi.org/10.3109/0142159X.2015.1073239
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref82">
    <label>82</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Helper, S., Krueger, T.,&amp;Wial, H. (2012). Why Does Manufacturing Matter? Which Manufacturing Matters? Brookings Institute. &gt;https://doi.org/10.2139/ssrn.3798089
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref83">
    <label>83</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Henson, A.,&amp;Jeffrey, C. (2016). Turning a Clinical Question into Nursing Research: The Benefits of a Pilot Study. Renal Society of Australasia Journal, 12, 99-105. &gt;https://www.renalsociety.org/ 
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref84">
    <label>84</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Hesping, F. H.,&amp;Schiele, H. (2016). Sourcing Tactics to Achieve Cost Savings: Developing a Formative Method of Measurement. International Journal of Procurement Management, 9, 473-504. &gt;https://doi.org/10.1504/IJPM.2016.077706
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref85">
    <label>85</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Hitt, M. A., Carnes, C. M.,&amp;Xu, K. (2016). A Current View of Resource-Based Theory in Operations Management: A Response to Bromiley and Rau. Journal of Operations Management, 41, 107-109. &gt;https://doi.org/10.1016/j.jom.2015.11.004
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref86">
    <label>86</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Holstein, J. A.,&amp;Gubrium, J. F. (2016). Narrative Practice and the Active Interview. In D. Silverman (Ed.), Qualitative Research (pp. 67-82). Sage.
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref87">
    <label>87</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Holweg, M.,&amp;Pil, F. K. (2012). Outsourcing Complex Business Processes: Lessons from an Enterprise Partnership. California Management Review, 54, 98-115. &gt;https://doi.org/10.1525/cmr.2012.54.3.98
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref88">
    <label>88</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Houghton, C., Murphy, K., Shaw, D.,&amp;Casey, D. (2015). Qualitative Case Study Data Analysis: An Example from Practice. Nurse Researcher, 22, 8-12. &gt;https://doi.org/10.7748/nr.22.5.8.e1307
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref89">
    <label>89</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Huang, S. K. (2014). The Emergence of the Outsourcing Market and Product Technological Performance. Technological Forecasting and Social Change, 82, 132-139. &gt;https://doi.org/10.1016/j.techfore.2013.06.006
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref90">
    <label>90</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Jääskelä, P.,&amp;Nissilä, P. (2015). Identifying Themes for Research-Based Development of Pedagogy and Guidance in Higher Education. Scandinavian Journal of Educational Research, 59, 24-41. &gt;https://doi.org/10.1080/00313831.2013.838696
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref91">
    <label>91</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Jacobides, M. G., MacDuffie, J. P.,&amp;Tae, C. J. (2016). Agency, Structure, and the Dominance of OEMs: Change and Stability in the Automotive Sector. Strategic Management Journal, 39, 1942-1967. &gt;https://doi.org/10.1002/smj.2426
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref92">
    <label>92</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Jasti, N. V. K.,&amp;Kodali, R. (2016). An Empirical Study for Implementation of Lean Principles in Indian Manufacturing Industry. Benchmarking, 23, 183-207. &gt;https://doi.org/10.1108/BIJ-11-2013-0101
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref93">
    <label>93</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Jensen, M. C.,&amp;Meckling, W. H. (1976). Theory of the Firm: Managerial Behavior, Agency Costs, and Ownership Structure. Journal of Financial Economics, 3, 305-360. &gt;https://doi.org/10.1016/0304-405X(76)90026-X
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref94">
    <label>94</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Jin, Y., Ji, S., Li, X.,&amp;Yu, J. (2017). A Scientometric Review of Hotspots and Emerging Trends in Additive Manufacturing. Journal of Manufacturing Technology Management, 28, 18-38. &gt;https://doi.org/10.1108/JMTM-12-2015-0114
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref95">
    <label>95</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Kaczynski, D., Salmona, M.,&amp;Smith, T. (2014). Qualitative Research in Finance. Australian Journal of Management, 39, 127-135. &gt;https://doi.org/10.1177/0312896212469611
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref96">
    <label>96</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Kaipia, R.,&amp;Turkulainen, V. (2016). Managing Integration in Outsourcing Relationships. The Influence of Cost and Quality Priorities. Industrial Marketing Management, 4, 1-16. 
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref97">
    <label>97</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Kang, M., Wu, X., Hong, P., Park, K.,&amp;Park, Y. (2014). The Role of Organizational Control in Outsourcing Practices: An Empirical Study. Journal of Purchasing and Supply Management, 20, 177-185. &gt;https://doi.org/10.1016/j.pursup.2014.02.002
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref98">
    <label>98</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Karatzas, A., Johnson, M.,&amp;Bastl, M. (2017). Manufacturer Supplier Relationships and Service Performance in Service Trends. International Journal of Operations&amp;Production Management, 37, 950-969. &gt;https://doi.org/10.1108/IJOPM-11-2015-0719
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref99">
    <label>99</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Kirchoff, J. F., Tate, W. L.,&amp;Mollenkopf, D. A. (2016). The Impact of Strategic Organizational Orientations on Green Supply Chain Management and Firm Performance. International Journal of Physical Distribution&amp;Logistics Management, 46, 269-292. &gt;https://doi.org/10.1108/IJPDLM-03-2015-0055
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref100">
    <label>100</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Klug, F. (2014). Logistics Implications of Electric Car Manufacturing. International Journal of Services and Operations Management, 17, 350-365. &gt;https://doi.org/10.1504/IJSOM.2014.059573
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref101">
    <label>101</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Korstjens, I.,&amp;Moser, A. (2018). Practical Guidance to Qualitative Research. Part 4: Trustworthiness and Publishing. European Journal of General Practice, 24, 120-124. &gt;https://doi.org/10.1080/13814788.2017.1375092
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref102">
    <label>102</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Krstic, B.,&amp;Kahrovic, E. (2015). Business Process Outsourcing as a Tool for Improving Enterprise Efficiency. Ekonomika, 61, 31-41. &gt;https://doi.org/10.5937/ekonomika1503031K
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref103">
    <label>103</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Kumari, S., Singh, A., Mishra, N.,&amp;Garza-Reyes, J. A. (2015). A Multi-Agent Architecture for Outsourcing SMEs Manufacturing Supply Chain. Robotics and Computer-Integrated Manufacturing, 36, 36-44. &gt;https://doi.org/10.1016/j.rcim.2014.12.009 
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref104">
    <label>104</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Kupota, F., Miguel, P.,&amp;Hsuan, J. (2015). Analysis of the Theoretical Relationships Between Product and Production Modularity and Their Implications in the Automotive Industry. In The EurOMA Conference. 
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref105">
    <label>105</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Lacity, M. C., Khan, S. A.,&amp;Yan, A. (2016). Review of the Empirical Business Services Sourcing Literature: An Update and Future Directions. Journal of Information Technology, 3, 269-328. &gt;https://doi.org/10.1057/jit.2016.2
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref106">
    <label>106</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Lacity, M. C., Solomon, S., Yan, A.,&amp;Willcocks, L. P. (2015). Business Process Outsourcing Studies: A Critical Review and Research Directions. In L. Willcocks, C. Sauer,&amp;M. Lacity (Ed.), Formulating Research Methods for Information Systems (pp. 169-251). Palgrave Macmillan. &gt;https://doi.org/10.1057/9781137509888_6
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref107">
    <label>107</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Lacity, M.,&amp;Willcocks, L. (2014). Business Process Outsourcing and Dynamic Innovation. Strategic Outsourcing: An International Journal, 7, 66-92. &gt;https://doi.org/10.1108/SO-11-2013-0023
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref108">
    <label>108</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Lahiri, S. (2015). Does Outsourcing Really Improve Firm Performance? Empirical Evidence and Research Agenda. International Journal of Management Reviews, 8, 464-497. &gt;https://doi.org/10.1111/ijmr.12075
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref109">
    <label>109</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Lashgari, S., Antuchevičienė, J., Delavari, A.,&amp;Kheirkhah, O. (2014). Using QSPM and WASPAS Methods for Determining Outsourcing Strategies. Journal of Business Economics and Management, 15, 729-743. &gt;https://doi.org/10.3846/16111699.2014.908789
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref110">
    <label>110</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Lewis, D. S. (2014). Contracting for Performance: Examining the Relationship Between LAUSD and ALEKS Using Transaction Cost Economics (Publication No. 3644671). Doctoral Dissertation, University of Southern California. &gt;https://www.proquest.com/openview/33984942b3b084a384f41192dae06647/1?pq-origsite=gscholar&amp;cbl=18750 
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref111">
    <label>111</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Lewis, S. (2015). Qualitative Inquiry and Research Design: Choosing among Five Approaches. Health Promotion Practice, 16, 473-475. &gt;https://doi.org/10.1177/1524839915580941
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref112">
    <label>112</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Liu, Y.,&amp;Tyagi, R. K. (2016). Outsourcing to Convert Fixed Costs into Variable Costs: A Competitive Analysis. International Journal of Research in Marketing, 32, 1-13. &gt;https://doi.org/10.1016/j.ijresmar.2016.08.002
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref113">
    <label>113</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Liu, Z.,&amp;Nagurney, A. (2013). Supply Chain Networks with Global Outsourcing and Quick-Response Production under Demand and Cost Uncertainty. Annals of Operations Research, 208, 251-289. &gt;https://doi.org/10.1007/s10479-011-1006-0
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref114">
    <label>114</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Looy, A. V., Backer, M. D.,&amp;Poels, G. (2014). A Conceptual Framework and Classification of Capability Areas for Business Process Maturity. Enterprise Information Systems, 8, 188-224. &gt;https://doi.org/10.1080/17517575.2012.688222
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref115">
    <label>115</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Lu, Z. P.,&amp;Wang, C. X. (2018). The Influence of Automobile Manufacturing Service on Enterprise Performance. DEStech Transactions on Economics, Business and Management, 18, 440-444. &gt;https://doi.org/10.12783/dtem/icssed2018/20282
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref116">
    <label>116</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Lugert, A., Batz, A.,&amp;Winkler, H. (2018). Empirical Assessment of the Future Adequacy of Value Stream Mapping in Manufacturing Industries. Journal of Manufacturing Technology Management, 29, 886-906. &gt;https://doi.org/10.1108/JMTM-11-2017-0236
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref117">
    <label>117</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Manning, S., Larsen, M.,&amp;Bharati, P. (2015). Global Delivery Models: The Role of Talent, Speed and Time Zones in the Global Outsourcing Industry. Journal of International Business Studies, 46, 850-877. &gt;https://doi.org/10.1057/jibs.2015.14
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref118">
    <label>118</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Markkanen, P., Galligan, C.,&amp;Quinn, M. (2017). Safety Risks among Home Infusion Nurses and Other Home Health Care Providers. Journal of Infusion Nursing, 40, 215-223. &gt;https://doi.org/10.1097/NAN.0000000000000227
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref119">
    <label>119</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Marshall, C.,&amp;Rossman, G. B. (2014). Designing Qualitative Research. Sage.
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref120">
    <label>120</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Martinez-Jurado, P. J.,&amp;Moyano-Fuentes, J. (2014). Lean Management, Supply Chain Management and Sustainability: A Literature Review. Journal of Cleaner Production, 85, 134-150. &gt;https://doi.org/10.1016/j.jclepro.2013.09.042
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref121">
    <label>121</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     McDermid, F., Peters, K., Jackson, D.,&amp;Daly, J. (2014). Conducting Qualitative Research in the Context of Pre-Existing Peer and Collegial Relationships. Nurse Researcher, 21, 28-33. &gt;https://doi.org/10.7748/nr.21.5.28.e1232
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref122">
    <label>122</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     McIvor, R. (2016). An Analysis of the Application of Process Improvement Techniques in Business Process Outsourcing. International Journal of Quality&amp;Reliability Management, 33, 321-343. &gt;https://doi.org/10.1108/IJQRM-04-2014-0045
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref123">
    <label>123</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Meixell, M., Kenyon, G.,&amp;Westfall, P. (2014). The Effects of Production Outsourcing on Factory Cost Performance: An Empirical Study. Journal of Manufacturing Technology Management, 25, 750-774. &gt;https://doi.org/10.1108/JMTM-10-2011-0099
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref124">
    <label>124</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Mendes, L.,&amp;Machado, J. (2015). Employees’ Skills, Manufacturing Flexibility and Performance: A Structural Equation Modelling Applied to the Automotive Industry. International Journal of Production Research, 53, 4087-4101. &gt;https://doi.org/10.1080/00207543.2014.993772
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref125">
    <label>125</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Mensah, J., Obeng, F.,&amp;Anim, S. K. (2015). Outsourcing Strategies of Mining Industries: An Empirical Evidence from a Developing Nation. International Journal of Supply Chain Management, 4, 90-101. 
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref126">
    <label>126</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Mishra, R., Pundir, A. K.,&amp;Ganapathy, L. (2016). Conceptualizing Sources, Key Concerns and Critical Factors for Manufacturing Flexibility Adoption: An Exploratory Study in Indian Manufacturing Firms. Journal of Manufacturing Technology Management, 27, 379-407. &gt;https://doi.org/10.1108/JMTM-06-2015-0037
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref127">
    <label>127</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Mitchell, M. L.,&amp;Jolley, J. M. (2012). Research Design Explained (8th ed.). Wadsworth.
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref128">
    <label>128</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Mohiuddin, M.,&amp;Su, Z. (2013). Manufacturing Small and Medium Size Enterprise’s Offshore Outsourcing and Competitive Advantage: An Exploratory Study on Canadian Offshoring Manufacturing SMEs. Journal of Applied Business Research, 29, 1111-1130. &gt;https://doi.org/10.19030/jabr.v29i4.7920
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref129">
    <label>129</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Mong, D. (2013). Lessons About Cash and Manager Priorities. American Journal of Business Education (Online), 6, 291-298. &gt;https://doi.org/10.19030/ajbe.v6i3.7809
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref130">
    <label>130</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Morse, J. (2015). Building Validity in Qualitative Inquiry. Journal of Qualitative Research, 16, 1-11. &gt;https://doi.org/10.22284/qr.2015.16.1.1
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref131">
    <label>131</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Narasimhan, R. (2014). Theory Development in Operations Management: Extending the Frontiers of a Mature Discipline via Qualitative Research. Decision Sciences, 45, 209-227. &gt;https://doi.org/10.1111/deci.12072
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref132">
    <label>132</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Nason, R. S.,&amp;Wiklund, J. (2015). An Assessment of the Resource-Based Theorizing on Firm Growth, and Suggestions for the Future. Journal of Management, 20, 1-29. &gt;https://doi.org/10.1177/0149206315610635
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref133">
    <label>133</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Nayak, S. K.,&amp;Sahu, S. (2014). Improving Quality with Reducing Cost: An Approach by Applying TQM and Outsourcing with Their Combined Impact on Automobile OEMs. International Journal of Analytical, Experimental and Finite Element Analysis, 3, 23-28. 
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref134">
    <label>134</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Neilson, J., Pritchard, B.,&amp;Yeung, H. W. C. (2014). Global Value Chains and Global Production Networks in the Changing International Political Economy: An Introduction. Review of International Political Economy, 21, 1-8. &gt;https://doi.org/10.1080/09692290.2013.873369
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref135">
    <label>135</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Neves, L. W. D. A., Hamacher, S.,&amp;Scavarda, L. F. (2014). Outsourcing from the Perspectives of TCE and RBV: A Multiple Case Study. Production, 24, 687-699. &gt;https://doi.org/10.1590/S0103-65132013005000082
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref136">
    <label>136</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Ngambi, M. T.,&amp;Nkemkiafu, A. G. (2015). The Impact of Total Quality Management on Firm’s Organizational Performance. American Journal of Management, 15, 69-85. &gt;http://www.na-businesspress.com 
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref137">
    <label>137</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Nieuwenhuis, P.,&amp;Katsifou, E. (2015). More Sustainable Automotive Production through Understanding Decoupling Points in Leagile Manufacturing. Journal of Cleaner Production, 95, 232-241. &gt;https://doi.org/10.1016/j.jclepro.2015.02.084
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref138">
    <label>138</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Nordigården, D., Rehme, J., Brege, S., Chicksand, D.,&amp;Walker, H. (2014). Outsourcing Decisions: The Case of Parallel Production. International Journal of Operations&amp;Production Management, 34, 974-1002. &gt;https://doi.org/10.1108/IJOPM-06-2012-0230
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref139">
    <label>139</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Nosoohi, I.,&amp;Nookabadi, A. S. (2016). Outsource Planning through Option Contracts with Demand and Cost Uncertainty. European Journal of Operational Research, 250, 131-142. &gt;https://doi.org/10.1016/j.ejor.2015.10.030
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref140">
    <label>140</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Oates, J. (2015). Use of Skype in Interviews: The Impact of the Medium in a Study of Mental Health Nurses. Nurse Researcher, 22, 13-17. &gt;https://doi.org/10.7748/nr.22.4.13.e1318
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref141">
    <label>141</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Odin, M., Aduda, J.,&amp;Omari, C. (2022). Pricing Bermudan Option with Variable Transaction Costs under the Information-Based Model. Open Journal of Statistics, 12, 549-562. &gt;https://doi.org/10.4236/ojs.2022.125033
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref142">
    <label>142</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Odin, M., Aduda, J.,&amp;Omari, C. (2023). Numerical Approximation of Information-Based Model Equation for Bermudan Option with Variable Transaction Costs. Journal of Mathematical Finance, 13, 89-111. &gt;https://doi.org/10.4236/jmf.2023.131006
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref143">
    <label>143</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Oliva, L. F. (2014). Knowledge Management Barriers, Practices and Maturity Model. Journal of Knowledge Management, 18, 1053-1074. &gt;https://doi.org/10.1108/JKM-03-2014-0080
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref144">
    <label>144</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Oltmann, S. (2016). Qualitative Interviews: A Methodological Discussion of the Interviewer and Respondent Contexts. In Forum: Qualitative Social Research, 17, 1-16. 
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref145">
    <label>145</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Palinkas, L. A., Horwitz, S. M., Green, C. A., Wisdom, J. P., Duan, N.,&amp;Hoagwood, K. (2015). Purposeful Sampling for Qualitative Data Collection and Analysis in Mixed Method Implementation Research. Administration and Policy in Mental Health, 42, 533-544. &gt;https://doi.org/10.1007/s10488-013-0528-y
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref146">
    <label>146</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Park, W. Y., Ro, Y. K.,&amp;Kim, N. (2018). Architectural Innovation and the Emergence of a Dominant Design: The Effects of Strategic Sourcing on Performance. Research Policy, 47, 326-341. &gt;https://doi.org/10.1016/j.respol.2017.11.003
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref147">
    <label>147</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Pearce, J. A. (2014). Why Domestic Outsourcing Is Leading America’s Reemergence in Global Manufacturing. Business Horizons, 57, 27-36. &gt;https://doi.org/10.1016/j.bushor.2013.08.007
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref148">
    <label>148</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Peranginangin, J. (2015). A Conceptual Mapping Resource Advantage Theory, Competitive Advantage Theory, and Transient Competitive Advantage. Expert Journal of Business and Management, 3, 140-149. &gt;http://www.expertjournals.com 
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref149">
    <label>149</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Poksinska, B. B., Fialkowska-Filipek, M.,&amp;Engström, J. (2017). Does Lean Healthcare Improve Patient Satisfaction? A Mixed-Method Investigation into Primary Care. BMJ Quality&amp;Safety, 26, 95-103. &gt;https://doi.org/10.1136/bmjqs-2015-004290
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref150">
    <label>150</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Pollard, D., Chuo, S.,&amp;Lee, B. (2016). Strategies for Mass Customization. Journal of Business&amp;Economics Research, 14, 101-110. &gt;https://doi.org/10.19030/jber.v14i3.9751
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref151">
    <label>151</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Pratap, S. (2014). Towards a Framework for Performing Outsourcing Capability. Strategic Outsourcing: An International Journal, 7, 226-252. &gt;https://doi.org/10.1108/SO-04-2014-0004
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref152">
    <label>152</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Presley, A., Meade, L.,&amp;Sarkis, J. (2016). A Strategic Sourcing Evaluation Methodology for Reshoring Decisions. Supply Chain Forum: An International Journal, 17, 156-169. &gt;https://doi.org/10.1080/16258312.2016.1215852
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref153">
    <label>153</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Rajaeian, M. M., Cater-Steel, A.,&amp;Lane, M. (2017). A Systematic Literature Review and Critical Assessment of Model-Driven Decision Support for IT Outsourcing. Decision Support Systems, 102, 42-56. &gt;https://doi.org/10.1016/j.dss.2017.07.002
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref154">
    <label>154</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Robinson, O. C. (2014). Sampling in Interview-Based Qualitative Research: A Theoretical and Practical Guide. Qualitative Research in Psychology, 11, 25-41. &gt;https://doi.org/10.1080/14780887.2013.801543
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref155">
    <label>155</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Roeser, T.,&amp;Kern, E. M. (2015). Surveys in Business Process Management—A Literature Review. Business Process Management Journal, 21, 692-718. &gt;https://doi.org/10.1108/BPMJ-07-2014-0065
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref156">
    <label>156</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Rohwer, A., Willems, B.,&amp;Young, T. (2015). Taking Stock of Evidence-Based Healthcare in the Undergraduate Medical Curriculum at Stellenbosch University: Combining a Review of Curriculum Documents and Input from Recent Graduates. African Journal of Health Professions Education, 7, 98-104. &gt;https://doi.org/10.7196/AJHPE.501
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref157">
    <label>157</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Rousseau, M. B.,&amp;Duchon, D. (2015). Organizational Narcissism: Scale Development and Firm Outcomes. Journal of Organizational Culture, Communication and Conflict, 19, 159-175. &gt;http://alliedacademies.org/journals.php?jid=11 
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref158">
    <label>158</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Rutherford, T.,&amp;Holmes, J. (2014). Manufacturing Resiliency: Economic Restructuring and Automotive Manufacturing in the Great Lakes Region. Cambridge Journal of Regions Economy and Society, 7, 359-378. &gt;https://doi.org/10.1093/cjres/rsu014
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref159">
    <label>159</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Rylands, B., Böhme, T., Gorkin, R., Fan, J.,&amp;Birtchnell, T. (2016). The Adoption Process and Impact of Additive Manufacturing on Manufacturing Systems. Journal of Manufacturing Technology Management, 27, 969-989. &gt;https://doi.org/10.1108/JMTM-12-2015-0117
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref160">
    <label>160</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Sabir, R. I.,&amp;Irfan, M. (2014). Levels&amp;Barriers to Supply Chain Integration: A Conceptual Model of Supply Chain Performance. International Journal of Management Science and Business Administration, 1, 52-59. &gt;https://doi.org/10.18775/ijmsba.1849-5664-5419.2014.11.1005
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref161">
    <label>161</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Sato, H. (2023). Nash Bargaining and Outsourcing in a Duopoly Market. Theoretical Economics Letters, 13, 385-390. &gt;https://doi.org/10.4236/tel.2023.133025
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref162">
    <label>162</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Saunders, B., Sim, J., Kingstone, T., Baker, S., Waterfield, J., Bartlam, B., Burroughs, H.,&amp;Jinks, C. (2018). Saturation in Qualitative Research: Exploring Its Conceptualization and Operationalization. Quality&amp;Quantity, 52, 1893-1907. &gt;https://doi.org/10.1007/s11135-017-0574-8
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref163">
    <label>163</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Saura, D. M.,&amp;Balsas, P. R. (2014). Interviewing and Surveying over the Phone: A Reflexive Account of a Research on Parenting. Quality&amp;Quantity, 48, 2615-2630. &gt;https://doi.org/10.1007/s11135-013-9911-8
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref164">
    <label>164</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Schepker, D. J., Oh, W. Y., Martynov, A.,&amp;Poppo, L. (2014). The Many Futures of Contracts: Moving Beyond Structure and Safeguarding to Coordination and Adaptation. Journal of Management, 40, 193-225. &gt;https://doi.org/10.1177/0149206313491289
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref165">
    <label>165</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Schermann, M., Dongus, K., Yetton, P.,&amp;Krcmar, H. (2016). The Role of Transaction Cost Economics in Information Technology Outsourcing Research: A Meta-Analysis of the Choice of Contract Type. Journal of Strategic Information Systems, 25, 32-48. &gt;https://doi.org/10.1016/j.jsis.2016.02.004
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref166">
    <label>166</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Scherrer-Rathje, M., Deflorin, P.,&amp;Anand, G. (2014). Manufacturing Flexibility through Outsourcing: Effects of Contingencies. International Journal of Operations&amp;Production Management, 34, 1210-1242. &gt;https://doi.org/10.1108/IJOPM-01-2012-0033
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref167">
    <label>167</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Schmitt, A.,&amp;Van Biesebroeck, J. (2013). Proximity Strategies in Outsourcing Relations: The Role of Geographical, Cultural and Relational Proximity in the European Automotive Industry. Journal of International Business Studies, 44, 475-503. &gt;https://doi.org/10.1057/jibs.2013.10
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref168">
    <label>168</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Schoenherr, T., Narayanan, S.,&amp;Narasimhan, R. (2015). Trust Information in Outsourcing Relationships: A Social Exchange Theoretic Perspective. International Journal of Production Economics, 169, 401-412. &gt;https://doi.org/10.1016/j.ijpe.2015.08.026
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref169">
    <label>169</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Scholer, M., Vette, M.,&amp;Rainer, M. (2015). A Lightweight Robot System Designed for the Optimisation of an Automotive End-Offline Process Station. Industrial Robot: An International Journal, 42, 296-305. &gt;https://doi.org/10.1108/IR-11-2014-0427
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref170">
    <label>170</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Schulze, A., MacDuffie, J. P.,&amp;Täube, F. A. (2015). Introduction: Knowledge Generation and Innovation Diffusion in the Global Automotive Industry Change and Stability during Turbulent Times. Industrial&amp;Corporate Change, 24, 603-611. &gt;https://doi.org/10.1093/icc/dtv015
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref171">
    <label>171</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Singh, J. (2013). Practicing Knowledge Management System. International Journal of Information, Business and Management, 5, 209-230. &gt;http://www.ijibm.elitehall.com 
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref172">
    <label>172</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Soleimani, M., Campean, F.,&amp;Neagu, D. (2018). Reliability Challenges for Automotive Aftertreatment Systems: A State-of-the-Art Perspective. Procedia Manufacturing, 16, 75-82. &gt;https://doi.org/10.1016/j.promfg.2018.10.174
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref173">
    <label>173</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Solli-Saether, H.,&amp;Gottschalk, P. (2015). Stages of Growth in Outsourcing, Offshoring and Backsourcing: Back to the Future? Journal of Computer Information Systems, 55, 88-94. &gt;https://doi.org/10.1080/08874417.2015.11645760
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref174">
    <label>174</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Soosay, C., Nunes, B., Bennett, D. J., Sohal, A., Jabar, J.,&amp;Winroth, M. (2016). Strategies for Sustaining Manufacturing Competitiveness. Journal of Manufacturing Technology Management, 27, 6-37. &gt;https://doi.org/10.1108/JMTM-04-2014-0043
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref175">
    <label>175</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Sotiriadou, P., Brouwers, J.,&amp;Le, T. A. (2014). Choosing a Qualitative Data Analysis Tool: A Comparison of NVivo and Leximancer. Annals of Leisure Research, 17, 218-234. &gt;https://doi.org/10.1080/11745398.2014.902292
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref176">
    <label>176</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Speckbacher, G., Neumann, K.,&amp;Hoffmann, W. H. (2015). Resource Relatedness and the Mode of Entry into New Businesses: Internal Resource Accumulation vs. Access by Collaborative Arrangement. Strategic Management Journal, 36, 1675-1687. &gt;https://doi.org/10.1002/smj.2305
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref177">
    <label>177</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Spring, M.,&amp;Araujo, L. (2014). Indirect Capabilities and Complex Performance: Implications for Procurement and Operations Strategy. International Journal of Operations&amp;Production Management, 34, 150-173. &gt;https://doi.org/10.1108/IJOPM-01-2011-0034
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref178">
    <label>178</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Starnino, V. R. (2016). When Trauma, Spirituality, and Mental Illness Intersect: A Qualitative Case Study. Psychological Trauma: Theory, Research, Practice, and Policy, 6, 375-383. &gt;https://doi.org/10.1037/tra0000105
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref179">
    <label>179</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Stoycheva, S., Marchese, D., Paul, C., Padoan, S., Juhmani, A. S.,&amp;Linkov, I. (2018). Multi-Criteria Decision Analysis Framework for Sustainable Manufacturing in Automotive Industry. Journal of Cleaner Production, 187, 257-272. &gt;https://doi.org/10.1016/j.jclepro.2018.03.133
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref180">
    <label>180</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Sundar, R., Balaji, A. N.,&amp;Kumar, R. S. (2014). A Review on Lean Manufacturing Implementation Techniques. Procedia Engineering, 97, 1875-1885. &gt;https://doi.org/10.1016/j.proeng.2014.12.341
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref181">
    <label>181</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Susilawati, A., Tan, J., Bell, D.,&amp;Sarwar, M. (2015). Fuzzy Logic Based Method to Measure Degree of Lean Activity in Manufacturing Industry. Journal of Manufacturing Systems, 34, 1-11. &gt;https://doi.org/10.1016/j.jmsy.2014.09.007
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref182">
    <label>182</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Tavares, P., Lima, J., Costa, P.,&amp;Paulo Moreira, A. (2016). Multiple Manipulators Path Planning Using Double A. Industrial Robot, 43, 657-664. &gt;https://doi.org/10.1108/IR-01-2016-0006
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref183">
    <label>183</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Thomas, D. R. (2017). Feedback from Research Participants: Are Member Checks Useful in Qualitative Research? Qualitative Research in Psychology, 14, 23-41. &gt;https://doi.org/10.1080/14780887.2016.1219435
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref184">
    <label>184</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Timmer, M. P., Dietzenbacher, E., Los, B., Stehrer, R.,&amp;Vries, G. J. (2015). An Illustrated User Guide to the World Input-Output Database: The Case of Global Automotive Production. Review of International Economics, 23, 575-605. &gt;https://doi.org/10.1111/roie.12178
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref185">
    <label>185</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Twyman, N. W., Elkins, A. C., Burgoon, J. K.,&amp;Nunamaker, J. F. (2014). A Rigidity Detection System for Automated Credibility Assessment. Journal of Management Information Systems, 31, 173-202. &gt;https://doi.org/10.2753/MIS0742-1222310108
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref186">
    <label>186</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     United Nations Industrial Development Organization (UNIDO) (2013). Industrial Development Report. Sustaining Employment Growth: The Role of Manufacturing and Structural Change. &gt;https://www.unido.org/resources-publications-industrial-development-report-series/industrial-development-report-2013 
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref187">
    <label>187</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Valmohammadi, C.,&amp;Ahmadi, M. (2015). The Impact of Knowledge Management Practices on Organizational Performance: A Balanced Scorecard Approach. Journal of Enterprise Information Management, 28, 131-159. &gt;https://doi.org/10.1108/JEIM-09-2013-0066
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref188">
    <label>188</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Vitasek, K. (2016). Strategic Sourcing Business Models. Strategic Outsourcing: An International Journal, 9, 126-138. &gt;https://doi.org/10.1108/SO-02-2016-0003
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref189">
    <label>189</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Wacker, J. G., Yang, C.,&amp;Sheu, C. (2016). A Transaction Cost Economics Model for Estimating Performance Effectiveness of Relational and Contractual Governance: Theory and Statistical Results. International Journal of Operations&amp;Production Management, 36, 1551-1575. &gt;https://doi.org/10.1108/IJOPM-10-2013-0470
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref190">
    <label>190</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Wallington, T. J., Anderson, J. E., Kleine, R. D., Kim, H. C., Maas, H., Brandt, A. R.,&amp;Keoleian, G. A. (2017). When Comparing Alternative Fuel‐Vehicle Systems, Life Cycle Assessment Studies Should Consider Trends in Oil Production. Journal of Industrial Ecology, 21, 244-248. &gt;https://doi.org/10.1111/jiec.12418
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref191">
    <label>191</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Wang, X.,&amp;Li, X.-C. (2013). A Study of Production Decisions with Outsourcing Inventory Business by a Reverse Auction. International Journal of Advancements in Computing Technology, 5, 453-459. 
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref192">
    <label>192</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Weber, J., Stäbler, M., Thielen, S.,&amp;Paetzold, K. (2016). Modularity as Key Enabler for Scalability of Final Assembly Units in the Automotive Sector. Proceedings of the 49th CIRP Conference on Manufacturing Systems, 57, 224-228. &gt;https://doi.org/10.1016/j.procir.2016.11.039
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref193">
    <label>193</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Weber, L.,&amp;Mayer, K. (2014). Transaction Cost Economics and the Cognitive Perspective: Investigating the Sources and Governance of Interpretive Uncertainty. Academy of Management Review, 39, 344-363. &gt;https://doi.org/10.5465/amr.2011.0463
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref194">
    <label>194</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Whitford, J.,&amp;Zirpoli, F. (2016). The Network Firm as a Political Coalition. Organization Studies, 37, 1227-1248. &gt;https://doi.org/10.1177/0170840616634131
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref195">
    <label>195</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Wieland, L. S., Rutkow, L., Vedula, S. S., Kaufmann, C. N., Rosman, L. M., Twose, C.,&amp;Dickersin, K. (2014). Who Has Used Internal Company Documents for Biomedical and Public Health Research and Where Did They Find Them? PLOS ONE, 9, 1-12. &gt;https://doi.org/10.1371/journal.pone.0094709
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref196">
    <label>196</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Williamson, O. E. (1985). The Economic Institutions of Capitalism. Free Press.
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref197">
    <label>197</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Witty, K., Branney, P., Bullen, K., White, A., Evans, J.,&amp;Eardley, I. (2014). Engaging Men with Penile Cancer in Qualitative Research: Reflections from an Interview-Based Study. Nurse Researcher, 21, 13-19. &gt;https://doi.org/10.7748/nr2014.01.21.3.13.e1218
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref198">
    <label>198</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Wong, W. P., Tseng, M. L.,&amp;Tan, K. H. (2014). A Business Process Management Capabilities Perspective on Organization Performance. Total Quality Management&amp;Business Excellence, 25, 602-617. &gt;https://doi.org/10.1080/14783363.2013.850812
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref199">
    <label>199</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Wood Jr., D. R., Gilbreath, G. H., Rutherford, M. W.,&amp;O’Boyle, E. H. (2014). Competitive Operations Priorities and Firm Performance in Small Community Banks: A Test of Trade-Offs. Journal of Applied Management and Entrepreneurship, 19, 82-106. &gt;https://doi.org/10.9774/GLEAF.3709.2014.oc.00007
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref200">
    <label>200</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Woods, M., Paulus, T., Atkins, D. P.,&amp;Macklin, R. (2016). Advancing Qualitative Research Using Qualitative Data Analysis Software (QDAS)? Reviewing Potential Versus Practice in Published Studies Using ATLAS.ti and NVivo, 1994-2013. Social Science Computer Review, 34, 597-617. &gt;https://doi.org/10.1177/0894439315596311
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref201">
    <label>201</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Xie, Y., Chien, C. F.,&amp;Tang, R. Z. (2016). A Dynamic Task Assignment Approach Based on Individual Worklists for Minimizing the Cycle Time of Business Processes. Computers&amp;Industrial Engineering, 99, 401-414. &gt;https://doi.org/10.1016/j.cie.2015.11.023
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref202">
    <label>202</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Yang, C., Wacker, J. G.,&amp;Sheu, C. (2012). What Makes Outsourcing Effective? A Transaction-Cost Economics Analysis. International Journal of Production Research, 50, 4462-4476. &gt;https://doi.org/10.1080/00207543.2011.600345
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref203">
    <label>203</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Yazan, B. (2015). Three Approaches to Case Study Methods in Education: Yin, Merriam, and Stake. Qualitative Report, 20, 134-152. &gt;https://doi.org/10.46743/2160-3715/2015.2102
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref204">
    <label>204</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Yin, R. K. (2014). Case Study Research Design and Methods (5th ed.). Sage.
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref205">
    <label>205</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Yoon, J., Talluri, S., Yildiz, H.,&amp;Ho, W. (2018). Models for Supplier Selection and Risk Mitigation: A Holistic Approach. International Journal of Production Research, 56, 3636-3661. &gt;https://doi.org/10.1080/00207543.2017.1403056
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref206">
    <label>206</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Yurii, D., Nataliia, T., Olena, S., Yelyzaveta, S.,&amp;Ganna, B. (2021). Standardization of Business Processes in the Transportation Sector. Open Journal of Business and Management, 9, 2312-2328. &gt;https://doi.org/10.4236/ojbm.2021.95125
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref207">
    <label>207</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Zangiski, M. A. D. S. G., De Lima, E. P.,&amp;Da Costa, S. E. G. (2013). Organizational Competence Building and Development: Contributions to Operations Management. International Journal of Production Economics, 144, 76-89. &gt;https://doi.org/10.1016/j.ijpe.2013.01.021
    </mixed-citation>
   </ref>
   <ref id="scirp.135913-ref208">
    <label>208</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Zhang, M.,&amp;Sun, J. (2012). Outsourcing in Municipal Governments. Public Performance&amp;Management Review, 35, 696-726. &gt;https://doi.org/10.2753/PMR1530-9576350407
    </mixed-citation>
   </ref>
  </ref-list>
 </back>
</article>