<?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><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojbm.2020.83074</article-id><article-id pub-id-type="publisher-id">OJBM-100126</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Business&amp;Economics</subject></subj-group></article-categories><title-group><article-title>
 
 
  Entrepreneurial Competencies and Growth of New Micro Small and Medium Businesses
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Raja</surname><given-names>Mejri</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>Mahmoud</surname><given-names>Zouaoui</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Department of Management, Tunis Business School, University of Manouba, Tunis, Tunisia</addr-line></aff><aff id="aff1"><addr-line>Department of Management Information Systems, College of Business, University of Jeddah, Jeddah, KSA</addr-line></aff><pub-date pub-type="epub"><day>07</day><month>04</month><year>2020</year></pub-date><volume>08</volume><issue>03</issue><fpage>1151</fpage><lpage>1163</lpage><history><date date-type="received"><day>8,</day>	<month>February</month>	<year>2020</year></date><date date-type="rev-recd"><day>9,</day>	<month>May</month>	<year>2020</year>	</date><date date-type="accepted"><day>12,</day>	<month>May</month>	<year>2020</year></date></history><permissions><copyright-statement>&#169; 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><p>
 
 
  Encouraging the creation of companies has become the leitmotif for solving the economic and social problems of states, especially when it comes to companies with real potential for growth, which constitutes the real levers of countries development. We focus on the profile of entrepreneurs who create small businesses and who can successfully increase their projects after a few years. They are the pillars of success insofar as the company is the projection of their characteristics. This document attempts to better understand the impact of entrepreneurial competencies on the growth of the company. The research was carried out using a questionnaire sent to 181 micro, small and medium-sized enterprises (MSME
  ’
  s) newly created. For the analysis of the results we have mobilized the method of structural equations. The results confirmed that the growth of the company is well influenced by managerial and networking competencies.
 
</p></abstract><kwd-group><kwd>Entrepreneur</kwd><kwd> Competencies</kwd><kwd> Micro Small and Medium Enterprises</kwd><kwd> Growth</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>In recent years, the creation of businesses has been encouraged as it becomes the leitmotif for economic and social states’ problems-solving (Boudreaux et al., 2019; Scuotto et al., 2019). Henceforth, the unprecedented support of the private is initiated especially for those entrepreneurs who have projects with potential growth (Lindič et al., 2012). Numerous researches have effectively proven that companies which manage to grow are the real levers of the economies development (Duthil &amp; Vanhaecke, 1993). Their proliferation is considered as an indicator of countries health (Moore, 1993). According to the GEM program, the effect of companies that manage to grow is mainly counted with regard of job creation, innovation and restructuring of economies (GEM, 2018). However, most companies lack the competencies that allow them to be competitive in the market; hence the alarming failure rates occur, especially during the first 5 years of their existence (Lambert, 2019). For all these reasons, we have been pushed to deepen this issue to better understand which competencies determine the growth of the newly created companies (Nuscheler et al., 2019; Loufrani-Fedida et al., 2019).</p><p>To conduct this research, we chose to mobilize the behaviorist approach as well as the resource-based view approach, which gave more convincing results with the valuation of the competencies mobilized by the company especially those possessed by the entrepreneur, mainly when we deal with small structures, which largely depend on the founder. So, the central aim of this paper is to identify which competencies that contribute the most to rapid growth of Micro, Small &amp; Medium Enterprises?</p><p>The paper is structured as follows. First, we highlight the importance of competencies in the performance of the company, especially those of the entrepreneur. Then, in the second part, we will present our methodological framework, to finish with the analysis and discussion of the results obtained and some recommendations.</p></sec><sec id="s2"><title>2. Literature Review</title><sec id="s2_1"><title>2.1. Growth Determinants of Enterprises: Entrepreneur’s Role</title><p>Analysis of literature has shown that studying the performance of companies and particularly their growth remains a complex issue. Indeed, the phenomenon affects many factors related to 1) entrepreneur’s profile: psychological, demographic, educational, and experiential, 2) company’s characteristics and managerial’s style, and 3) the environment in which the company has evolved (Paturel, 1997). This paper proposes to concentrate on the person of the entrepreneur, the keystone of entrepreneurial success as much as we deal about small units (Ndjambou &amp; Sassine, 2014) which remain a projection of the characteristics of leaders (Chabaud &amp; Sammut, 2016).</p><p>In the beginning, research in entrepreneurship focused on the person of the entrepreneur was launched mainly by the scholars with psychological and sociological backgrounds. This current recognized by the trait approach has adopted a descriptive orientation by promoting the psychological characteristics of entrepreneurs to explain the success of their businesses (Barba-S&#225;nchez &amp; Mart&#237;nez-Ruiz, 2009). Among the most identified characteristics, we find: the need for autonomy, the need for accomplishment, the desire to take up challenges, and the desire to enrich one-self, etc. However, the weak results of these current, prompted scholars to dig into other directions. Indeed, with the rise of the behaviorist approach in the mid-1990s, the interest is in actions rather than in the “innate” characteristics of the entrepreneur (Gartner, 1989). Emphasis is now placed on the competencies of the entrepreneur, which prove better predictors of performance. It should be noted that during this period, there was the development of the Resource-Based View (RBV) approach, which advocated the development of competencies for better competitiveness on the market (Teece et al., 1997).</p></sec><sec id="s2_2"><title>2.2. Role of Competencies in Business Growth of Micro, Small &amp; Medium Enterprises</title><p>To explain companies performance, management literature has started to take an interest in the concept of competence at the 1960s (Bayad et al., 2007), However, the link with the entrepreneurship’s field was made only in the 1990s, with the behaviorist approach (Fayolle et al., 2008) which considers studying entrepreneurial competencies the best way to identify the profile of the successful entrepreneurs (Kellermanns et al., 2008). At first, the scholars tried to point out the key competencies then they began presenting more structured work, such as typological studies (Nkakleu et al., 2013). We join Carrier and Tremblay (2007) who point out that the typology of Chandler and Jansen (1992) remains among the few to have obtained the approval of the research community, that is why we chose to adopt it in this research. The authors of the typology built their study on 134 entrepreneurs and were able to identify five central competencies determining the performance of the company: managerial, identifying and exploiting opportunities, asserting one’s position in a network of companies, intensive work and mastering the functional and technical aspects related to business.</p><sec id="s2_2_1"><title>2.2.1. Managerial Competency and Firm Growth</title><p>Over the years, there has been a growing literature on managerial competencies which can be defined regarding of knowledge, skills, experiences and personal characteristics (Bhardwaj, 2013), but the research proposed by Henri Fayol and Henri Mintzberg remove the pillars of modern management. Fayol has set out 14 general management principles, divided into 5 key functions: planning, organization, command, coordination, and control. Mintzberg has identified 9 key competencies referred to 3 main roles: interpersonal, informational, and decision-making (Mowll, 1989).</p><p>In this paper, we consider managerial competencies as the ability of the entrepreneur to evaluate a project, determine its feasibility, and manage it efficiently to generate a profit or a social utility (Carrier &amp; Tremblay, 2007).</p><p>A number of scholars show positive relationship between the managerial competencies and the organization’s performance (Hawi et al., 2015). They are important for achieving strategic organizational goals and viewed as sources a competitive advantage (K&#246;nigov&#225; et al., 2012).</p><p>In light of the above, we state hypothesis H.1: The managerial competencies of the entrepreneur positively influence the growth of the business.</p></sec><sec id="s2_2_2"><title>2.2.2. Opportunity Identification Competence and Firm Growth</title><p>Ge et al. (2016) recognize the entrepreneur by his ability to identify and exploit business opportunities to transform them into profitable activities. In the same vein Sabai and Tau (2018: p. 6) think that “entrepreneurs need to be able to recognize and exploit the market opportunity to start their new business or launch a new product because their product or service needs to fit the market need and available resources well”. Baron and Markman (2003) stipulate that the ability to identify opportunities with high potential increases the performance of new businesses. The authors emphasize the importance of identifying obstacles before they become insurmountable, and argue that inequality in the cognitive processes of entrepreneurs makes the difference when it comes to monitoring, and processing information, especially face of ambiguity.</p><p>In light of the above, we state hypothesis H.2: Identifying and seizing opportunities positively influence the growth of the business.</p></sec><sec id="s2_2_3"><title>2.2.3. Network Competence and Firm Growth</title><p>The network competencies are “the ability of entrepreneurs to develop and maintain long-term relationships with customers, suppliers, and other interested stakeholders” (Sajilan &amp; Tehseen, 2019: p. 192).</p><p>According to Das and Goswami (2019) many studies have argued that the performance of small firms depends on the help of people who can provide the support to identify opportunities and access to resources in the market. Networking boosts the business and allows it to easily fill in the missing resources: it feeds the companies with forward-looking information that helps reduce uncertainty in business (Human &amp; Provan, 1994), facilitates access to knowledge, technology and power (Kusumawardhani et al., 2009) and it helps to raise financial funds at a lower cost (Bah, 2008).</p><p>According to Janssen (2011), networking with others companies are associated with a higher growth rate since they allow better synergies, and reduce the costs and risks associated with the project. Zhao and Aram (1995) consider it as the main characteristics of high-growth SMEs.</p><p>In light of the above, we state Hypothesis H.3: Networking competencies positively influence business growth.</p></sec><sec id="s2_2_4"><title>2.2.4. Drive to See Venture Through to Frution and Firm Growth</title><p>The creation of a new business is a permanent challenge where success depends mainly on the persistence of entrepreneurs. These latter encounter major obstacles with uncertain results, and their ability to resist and to manage adversity predicts their personal effectiveness and their performance (Baron &amp; Markman, 2003). According to authors, to be successful, entrepreneurs must rise above obstacles and must work intensively despite uncertain results.</p><p>Fortin (1992) argues that entrepreneurs are known for their energetic and hard-working nature which allows them to maintain a vigorous work rhythm for relatively long periods. Those who succeed to set up businesses with high growth potential have a high level of determination and consistency, which enables them to find solutions to the multiple obstacles encountered (Kiggundu, 2002). This strong commitment is often positively linked to the long-term performance of the SME (Man et al., 2008) and is one of the most important factors for ensuring the growth of the company (Dobbs &amp; Hamilton, 2007).</p><p>In light of the above, we state hypothesis H.4: Intense work of the entrepreneur positively influences the growth of the business.</p></sec><sec id="s2_2_5"><title>2.2.5. Functional and Technical Competence and Firm Growth</title><p>Functional and technical competencies are crucial to manage the classic functions that make up businesses. According to Carrier and Tremblay (2007), these competencies refer to a set of concrete and technical knowledge such as the ability to know his product well, the ability to identify and master the key success factors in his field, the ability to follow trends in market, etc.</p><p>Researchers showed that these competencies are mobilized in both creation and management and have a positive relationship with the organization’s performance of small businesses (Nkakleu, 2018). For example, Gasse and d’Amboise (1998) noted that entrepreneurs who succeed in growing their businesses have shown high technology competence, which have enabled them to make successful choices regarding sources of technology, either the purchase of R&amp;D license contracts, partnerships, and alliances.</p><p>In light of the above, we state hypothesis H.5: The functional and technical competencies of the entrepreneur positively influence the growth of the business.</p></sec></sec><sec id="s2_3"><title>2.3. Measuring of Firm Growth</title><p>By studying the phenomenon of growth, scholars realize that it is not a common phenomenon. Indeed, the percentage of companies that manage to reach this stage remains quite low even in developed countries, which increases the difficulty of our task, especially since the phenomenon is not perceived in the same way by the academics (Brush et al., 2009). According literature, the phenomenon was studied in two aspects. First, the qualitative aspect; which is manifested by changes in the characteristics of the company, such as the nature of the products and services offered, the nature of the presence on the market, and the mode of organization adopted. Secondly, we have the quantitative aspect, more apparent, which is manifested by a multitude of indicators expressing the size of the company such as turnover, workforce, added value, profit, etc. (Davidsson et al., 2007). As far as we are concerned in this study, the second part will be adopted. We view growth as an evolution in the size of the company through the turnover indicator (Chandler et al., 2009). It is the most adopted measure according to scholars given its accessibility (Delmar et al., 2003) and also the most acclaimed by managers (Janssen, 2011).</p><p>After showing how Important is small growing businesses for the development of the economies, we put forward the role of the entrepreneurs in the growth of their businesses, especially for small projects, where we concentrated our research on entrepreneur’s competencies. We have developed five hypotheses to examine the relationships between the entrepreneur’s competencies and the growth of the companies. The competencies examined were related to managerial competencies, identification and exploitation of opportunities, networking, intensive work and mastering the functional and technical aspects related to business. We note that the study was anchored on Chandler and Jansen’s typology (Chandler &amp; Jansen, 1992). To measure the growth of the company, we choose a quantitative indicator, the increase in the turnover of the company since its creation.</p></sec></sec><sec id="s3"><title>3. Research Methodology</title><p>For the analysis of the collected data, we used 2 software: SPSS 17.0 for exploratory analysis and XLSTAT 2015 for confirmatory analysis via the PLS-PM approach.</p><sec id="s3_1"><title>3.1. Population and Sample Size</title><p>The study adopted a quantitative research design. Data was obtained through online surveys. The questionnaires were sent to the founders of 181 Tunisian micro, small and medium-sized enterprises (MSMEs). All the companies were incubated when they were launched in one of the 28 incubators under the aegis of the Tunisian Agency for the Promotion of Industry and Innovation (APII). It’s a public establishment, responsible for the implementation of the Government’s policies relative to the industrial sector and it provides a support structure for companies and promoters.</p><p>We successfully interviewed 104 companies. All the companies were the fruit of a creation ex-nihilo and newly created. Their age was between 3 and 5 years.</p></sec><sec id="s3_2"><title>3.2. Measures of Variables</title><p>For the entrepreneur competencies variable we used the scale developed by Chandler and Jansen (1992) composed of 21 items spread over five variables: managerial competencies, competencies related to identifying and exploiting opportunities, asserting one’s position in a network of companies, intensive work, and mastering the functional and technical aspects related to business. We proposed to the entrepreneurs interviewed a self-assessment of their competencies when launching their businesses on a Likert scale with 5 points ranging from “strongly agree” to “strongly disagree”.</p><p>For the business growth variable, we have chosen the turnover indicator, which is widely acclaimed by scholars dealing with issues of business growth as well as managers. However, we were forced to resort to a subjective measure because of the reluctance of many interviewed to provide us with quantified financial data. We opted for the adaptation of the growth measurement used by Janssen (2005) by the proposal of a 4 points measurement scale on which the entrepreneur chooses the growth rate that he was able to achieve since the creation of his company, and this for a period ranging from 3 to 5 years.</p></sec></sec><sec id="s4"><title>4. Analysis and Discussion of Results</title><sec id="s4_1"><title>4.1. The Demographic Profile of the Entrepreneurs</title><p>As shown in <xref ref-type="table" rid="table1">Table 1</xref>, our sample is made up mainly of men, who represent 83.7% of respondents, which is favorable to the growth of the company. In fact numerous studies have shown that men are more attracted than women to the growth of their business (Shelton, 2006). Our sample is composed also of young companies: 46.2% were 5 years old, 45.2%, were 4 years old and 8.7% were 3 years old. These companies are, as it was announced earlier, the result of an ex-nihilo creation, which makes them legally independent on any pre-existing structure. This form of creation remains the most difficult to implement and depends entirely on its founder. We notice that many scholars point out that the youth of the company is supposed to have a positive impact on its growth (Woywode &amp; Lessat, 2001).</p><p>Likewise, we noted that more than half of the interviewed entrepreneurs (67.3%) already had a job before entering the business world. The rest either just finished their studies (7.7%) or were unemployed (25%). It should be noted that a pre-professional experience before embarking on an entrepreneurial career is always beneficial for the entrepreneur, especially when it is in the same environment (Colombo &amp; Grilli, 2010). It allows to move faster and more safely, and helps to gain the trust of key partners, customers, suppliers, and bankers… more easily.</p></sec><sec id="s4_2"><title>4.2. Exploratory Factor Analysis</title><p>Before testing our analytical model, a principal component analysis (PCA) was carried out. The analysis confirmed the multidimensional structure of the scale</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Description of the studied sample</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Gender</th><th align="center" valign="middle" ></th></tr></thead><tr><td align="center" valign="middle" >&#173; Male</td><td align="center" valign="middle" >83.7%</td></tr><tr><td align="center" valign="middle" >&#173; Female</td><td align="center" valign="middle" >16.3%</td></tr><tr><td align="center" valign="middle" >Age</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&#173; &lt;30</td><td align="center" valign="middle" >39.4%</td></tr><tr><td align="center" valign="middle" >&#173; [31, 40]</td><td align="center" valign="middle" >44.2%</td></tr><tr><td align="center" valign="middle" >&#173; [41, 50]</td><td align="center" valign="middle" >14.4%</td></tr><tr><td align="center" valign="middle" >&#173; &gt;50</td><td align="center" valign="middle" >1.9%</td></tr><tr><td align="center" valign="middle" >Situation of entrepreneurs before the creation of the business</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&#173; Student</td><td align="center" valign="middle" >7.7%</td></tr><tr><td align="center" valign="middle" >&#173; Unemployed</td><td align="center" valign="middle" >25.0%</td></tr><tr><td align="center" valign="middle" >&#173; Employee</td><td align="center" valign="middle" >67.3%</td></tr></tbody></table></table-wrap><p>used, namely the 5 dimensions. However, 3 items have been eliminated. These are items whose communality was less than 0.5. The dimensions retained restored 71.4% of the explained variance and the analysis of the internal consistency of the factors through Cronbach’s alpha, revealed globally acceptable coefficients, ranging from 0.62 to 0.94.</p></sec><sec id="s4_3"><title>4.3. Confirmatory Factor Analysis</title><p>After verifying the psychometric quality of the variables as shown in <xref ref-type="table" rid="table2">Table 2</xref>, we moved onto the analysis of the measurement model and the structural model.</p><p>For the measurement model, it was generally acceptable. As shown in <xref ref-type="table" rid="table2">Table 2</xref> the analysis of internal consistency of the latent variables with the Dillon-Goldstein’s rhon was acceptable for all the variables in the model: (&gt;0.8). Subsequently, we examined the convergent validity and discriminant validity of the variables which were also acceptable.</p><p>For the analysis of the structural model, we started by assessing the predictive validity of the global model by analyzing the Goodness of Fit indices (GoF) as shown in <xref ref-type="table" rid="table3">Table 3</xref>. We have found that absolute and relative GoF before and after high bootstrap were very close which testifies the stability of the model. The GoFs for internal and external models were also strong and very close which indicates a good quality of the links between the measurement variables and the latent variables. Finally, we noticed that all the critical ratios were above the threshold of 1.96, which confirms the good quality of fit of the model to the data and attests to its good predictive power.</p><p>We end the analysis by examining the causal relationships linking the latent variables of the research model as shown in <xref ref-type="table" rid="table4">Table 4</xref>.</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Composite reliability</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Latent variable</th><th align="center" valign="middle" >Dimensions</th><th align="center" valign="middle" >Dillon-Goldstein’s rho</th></tr></thead><tr><td align="center" valign="middle" >Mangerial</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >0.945</td></tr><tr><td align="center" valign="middle" >Opportunity</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >0.958</td></tr><tr><td align="center" valign="middle" >Hard working</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >0.844</td></tr><tr><td align="center" valign="middle" >Network</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >0.943</td></tr><tr><td align="center" valign="middle" >Funct &amp; tech</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >0.944</td></tr><tr><td align="center" valign="middle" >Growth</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >-</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> GoF quality</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >GoF</th><th align="center" valign="middle" >GoF (Bootstrap)</th><th align="center" valign="middle" >Standard Erreur</th><th align="center" valign="middle" >Critical Ratio (CR)</th></tr></thead><tr><td align="center" valign="middle" >Absolute</td><td align="center" valign="middle" >0.643</td><td align="center" valign="middle" >0.655</td><td align="center" valign="middle" >0.059</td><td align="center" valign="middle" >10.805</td></tr><tr><td align="center" valign="middle" >Relative</td><td align="center" valign="middle" >0.902</td><td align="center" valign="middle" >0.875</td><td align="center" valign="middle" >0.054</td><td align="center" valign="middle" >16.664</td></tr><tr><td align="center" valign="middle" >Outer model</td><td align="center" valign="middle" >0.990</td><td align="center" valign="middle" >0.974</td><td align="center" valign="middle" >0.023</td><td align="center" valign="middle" >43.530</td></tr><tr><td align="center" valign="middle" >Inner model</td><td align="center" valign="middle" >0.911</td><td align="center" valign="middle" >0.898</td><td align="center" valign="middle" >0.047</td><td align="center" valign="middle" >19.425</td></tr></tbody></table></table-wrap><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Path coefficients</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Latent Variable</th><th align="center" valign="middle" >Value</th><th align="center" valign="middle" >Standard Erreur</th><th align="center" valign="middle" >T</th><th align="center" valign="middle" >Pr &gt; |t|</th><th align="center" valign="middle" >Critical Ratio (CR)</th></tr></thead><tr><td align="center" valign="middle" >Mangerial</td><td align="center" valign="middle" >0.528</td><td align="center" valign="middle" >0.095</td><td align="center" valign="middle" >5.555</td><td align="center" valign="middle" >0.000</td><td align="center" valign="middle" >6.776</td></tr><tr><td align="center" valign="middle" >Opportunity</td><td align="center" valign="middle" >0.066</td><td align="center" valign="middle" >0.092</td><td align="center" valign="middle" >0.717</td><td align="center" valign="middle" >0.475</td><td align="center" valign="middle" >0.771</td></tr><tr><td align="center" valign="middle" >Hard working</td><td align="center" valign="middle" >0.034</td><td align="center" valign="middle" >0.073</td><td align="center" valign="middle" >0.463</td><td align="center" valign="middle" >0.645</td><td align="center" valign="middle" >0.523</td></tr><tr><td align="center" valign="middle" >Network</td><td align="center" valign="middle" >0.221</td><td align="center" valign="middle" >0.080</td><td align="center" valign="middle" >2.772</td><td align="center" valign="middle" >0.007</td><td align="center" valign="middle" >2.675</td></tr><tr><td align="center" valign="middle" >Funct &amp; tech</td><td align="center" valign="middle" >0.053</td><td align="center" valign="middle" >0.072</td><td align="center" valign="middle" >0.745</td><td align="center" valign="middle" >0.458</td><td align="center" valign="middle" >0.587</td></tr><tr><td align="center" valign="middle"  colspan="2"  >R&#178;</td><td align="center" valign="middle" >F</td><td align="center" valign="middle" >Pr &gt; F</td><td align="center" valign="middle" >R<sup>2</sup> (Bootstrap)</td><td align="center" valign="middle" >Standard Erreur</td></tr><tr><td align="center" valign="middle"  colspan="2"  >0.510</td><td align="center" valign="middle" >20.429</td><td align="center" valign="middle" >0.000</td><td align="center" valign="middle" >0.543</td><td align="center" valign="middle" >0.088</td></tr></tbody></table></table-wrap><p>We note that the coefficient of determination, was acceptable (R&#178; = 0.510), which allows us to say that the growth variable is well explained.</p><p>As we can see from the table below, the variables that influence the growth of the business are the managerial competencies, and the networking competencies, which allow us to confirm only the hypotheses: H.1 and H.3.</p><p>The study revealed a significant positive impact between managerial competencies and networking competencies on the growth of the business. However, there is no significant impact on competencies related to the identification and exploitation of opportunities, intense work, and technical, and functional competencies.</p></sec></sec><sec id="s5"><title>5. Conclusion</title><p>As we have shown, the comprehension of the competencies that contribute the most to the rapid growth of Micro, Small &amp; Medium Enterprises becomes crucial. These businesses are considered as the most promoters of the economy of countries. In this paper, we have formulated five research hypotheses to identify which competencies contribute the most to the growth of the businesses. Competencies were related to management, identifying and exploiting opportunities, asserting one’s position in a network of companies, intensive work and mastering the functional and technical aspects related to business. But, this study indicates that only managerial and networking competencies have a positive impact on business growth. However, there is no significant impact for the competencies related to the identification and exploitation of opportunities, hard work, and technical &amp; functional skills on the growth of the business. We understand that during the early years, managerial competencies such as organization, coordination, leadership, problem-solving and control are crucial for building and developing the business. These results are in line with Gasse et al. (2004) who find that the mobilization of managerial competencies is crucial to ensure the functioning of the company’s activities. In fact, these competencies are mainly mobilized in the management of routine activities and determine the sustainability of the business (Nkakleu et al., 2013).</p><p>The link with networking competencies and the growth shows how much these competencies are important in boosting the business. Networking is vital: it facilitates the exchange of information with different economic partners and allows benefiting from mutual experiences to improve the entrepreneurial vision and strengthen the competitive position in market. According to Bah (2008), a good network is cultivated concerning size and weight. The result is in line with the work of numerous researchers (Kusumawardhani et al., 2009).</p></sec><sec id="s6"><title>6. Recommendations</title><p>Today, the slowdown in the economic growth worldwide, even for developed countries, and its inability to cope with many economic and social problems has prompted governments to provide more support to the private sector, so entrepreneurs can bring more energizes for their economies. However, the alarming failure rates show that many entrepreneurs lack the competencies to sustain and grow their businesses. Through this work, we hope a better understanding of the entrepreneurs who have the profile for developing their projects to energize their environment and create wealth. This study could serve the various accompaniment structures of entrepreneurs to identify the most competent, to provide them with all the assistance they need, and thereby contribute to the emergence of a new generation of entrepreneurs able of meeting the challenges of the new economy. They are the best source of jobs, wealth and innovation, as confirmed by Stam et al. (2011) who find that the future now belongs to “ambitious entrepreneurship” which contributes most to economic growth.</p></sec><sec id="s7"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s8"><title>Cite this paper</title><p>Mejri, R., &amp; Zouaoui, M. (2020). Entrepreneurial Competencies and Growth of New Micro Small and Medium Businesses. 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