Transformational Leadership as a Boundary Condition in the Capability-Performance Link: Evidence from the UAE Public Sector

Abstract

This paper considers the time frame of organizational capabilities to performance by placing the transformational leadership (TL) as the boundary condition within the public sector. Using the Resource-Based View (RBV), management commitment (MC), green process innovation (GPI), and communication effectiveness (CE) are developed as important capabilities that affect the organizational performance (OP). The study employs direct and moderation effects, using survey data of 390 employees of the UAE Ministry of Interior and PLS-SEM analysis. The results show that both MC, GPI, and CE have considerable positive impacts on OP. More to the point, TL plays a much stronger role in reinforcing the performance effect of GPI and CE, but has a relatively smaller moderating effect on MC. The findings change the perspective on leadership as a mediating mechanism to a situational facilitator that dictates when capabilities are most productive. This research paper adds to the RBV in that, it presents a moderation-based approach to the issue and also provides a realistic contribution to the values of the public-sector organizations interested in maximizing their performance through coherent leadership and the development of capabilities.

Share and Cite:

Almessabi, M. M. A., & Wahid, H. B. A. B. (2026) Transformational Leadership as a Boundary Condition in the Capability-Performance Link: Evidence from the UAE Public Sector. Journal of Human Resource and Sustainability Studies, 14, 306-331. doi: 10.4236/jhrss.2026.142017.

1. Introduction

The two pressures are increasingly on the public administrations to enhance both the service performance and national sustainability and innovation agendas (Ekaabi et al., 2020). Green innovation, efficient internal operations, and open communication are explicitly stressed in strategic vision documents and smart government initiatives in the UAE, making the development and implementation of internal capabilities that facilitate these priorities necessary in the ministries, including the Ministry of Interior (MOI) (Yusliza et al., 2019). The literature on the UAE public sector has demonstrated previously that management commitment (MC) is critical in facilitating green process innovation (GPI) and communication effectiveness (CE) that subsequently positively impact organizational performance (OP). Nevertheless, this work has mostly assumed a process logic of leadership in which leadership is understood as a resource that functions primarily in terms of capabilities (e.g., by mediation models), as opposed to posing the question of how and when these capabilities have the greatest impact on performance.

The modern development of leadership and RBV research acknowledges that the performance value of capabilities is context-dependent and contingent on leadership-related and contextual boundary conditions (Barney, 1991; Abid et al., 2023). Transformational leadership TL, which is described by expressing an inspiring vision, challenging the intellect of the followers, and giving them specific consideration, has been known to enhance the identification of the employees with the organization as well as the desire to put effort in the strategic efforts (Khanra et al., 2022; Gong et al., 2020). Recent research also indicates that the effects of TL per se are conditional on contextual variables like organizational culture, environmental uncertainty and leader qualities, which means that TL is a significant component of the overall configuration where resources and capabilities are transduced into results (Hansbrough & Schyns, 2018; Ekaabi et al., 2020; Hariharan & Anand, 2023).

In the literature on sustainability and innovation in the public sector, nevertheless, there are few empirical studies that explicitly consider TL as a moderator of the capability performance relationships. In the context of MOI, the conceptualization of MC as a strategic resource determining GPI and CE, which in turn mediate its effect on OP, was applied in earlier models, thus highlighting a linear resource-capability-performance chain (Khanra et al., 2022; Hasan et al., 2024; Hilton et al., 2023). As useful as this view is, it is under-theoretical in terms of the potential that the effectiveness of already existing capabilities like GPI and CE can be reconfigured by leadership behavior to become more or less powerful performance drivers depending on the mobilization, interpretation and reinforcement of these capabilities by leaders (Feng & Chen, 2018; Hoai et al., 2022).

This paper fills this gap by refining the capability performance model with a boundary condition logic. In particular, it focuses on: 1) the direct influence of MC, GPI, and CE on OP; and 2) the mediating influence of TL on all these relations in the UAE MOI setting. Rather than posing the question of how leadership effects are mediated by capabilities, the study poses the question of when these capabilities mediate these effects to better OP, and whether TL enhances or mitigates their effect.

The research has three contributions to the literatures of public management, leadership and RBV. To begin with, it is a step forward towards a moderation-based RBV view of the public sector in terms of theorizing TL as a boundary condition that conditions the performance pay-off of strategically significant capabilities. Second, it expands empirical information about TL in government by investigating its conditional aspect in the amplification of the impact of GPI and CE, specifically within an extremely centralized, vision-oriented setting like the UAE. Third, it provides practical advice to leaders in the public-sector on when leadership interventions can be most urgent in transforming sustainability and communication capabilities into measurable gains in performance.

2. Literature Review

2.1. Organizational Capabilities and Performance in the Public Sector

Public organizations tend to think of OP as the efficiency, quality of services, responsiveness, and accountability, as opposed to profitability (de Azevedo Rezende et al., 2019; Hsiao, 2024). Taking these dimensions to high levels cannot be done only through formal structures and regulations, but through the creation of internal capabilities, which enable agencies to enact policies, adapt to evolving expectations, and balance multiple stakeholder relationships (Huang & Li, 2017).

GPI reflects how well an organization can redesign its processes in ways that are responsible to the environment to consume less resources, minimize pollution, and increase adherence to the environmental regulations (de Azevedo Rezende et al., 2019; Hult et al., 2023). Through empirical studies, it is clear that the green process innovation can promote resource efficiency, regulatory compliance, and stakeholder confidence, which are all beneficial in encouraging improved organizational results, whether in the private or in the public sphere (Lan et al., 2020; Hussain et al., 2020; Islam et al., 2021). CE is defined as the degree of sharing of information within and among units in a timely, transparent and accurate way that helps in the coordination, transparency and alignment to strategic priorities (Isaac et al., 2017; Bargenda, 2019; Kristina, 2020). Research in industries links effective in-company communication to better employee performance, better stakeholder relationships and greater change adaptability (Walden et al., 2017; Jiang & Men, 2017; Jabbarzare & Shafighi, 2019).

The capabilities are directly applicable in the UAE MOI national ambitions which unite security, intelligent policing, and sustainability (Diaz et al., 2023; Jiang et al., 2024). GPI is in line with the national environmental goals and the spirit of more eco-friendly public services, whereas CE supports the collaboration between departments and the quality of the service provided to citizens. The previous evidence within the same setting has established that GPI and CE are positively correlated with perceived OP, which can be viewed as an RBV perspective of these constructs as the core operational capabilities in government (Jiatong et al., 2022; Jun & Lee, 2023).

Management commitment as a capability platform

Management Commitment can be thought of as a strategic capability of a higher order that serves two complementary functions. First, it serves as an enabling platform which allows the development and implementation of operational capabilities like Green Process Innovation and Communication Effectiveness. Second, as in RBV, Management Commitment is itself an organizational capability, as it represents the organization’s capability to commit resources, priorities and implementation to desired outcomes. Thus, MC can impact upon organizational performance indirectly, through capability development, or directly, through strategic alignment and resource orchestration.

Management commitment (MC) means how much the top managers focus on strategic goals and distribute resources and continuously advocate change projects like sustainability and communication enhancements (Braga Junior et al., 2018; Jurevicius, 2021; Karia, 2023). MC gives the power, legitimacy and resource support that is needed by capabilities such as GPI and CE to develop and persist in a public-sector environment where there are formal rules and hierarchical decision-making.

The current literature makes MC one of the strategic resources that influence the culture of the organization, conveys priorities and indicates the long-term commitment to the innovation (Kalogiannidis, 2020; Katou et al., 2022). Having a high MC, employees will feel that green initiatives and communication enhancements are part of their job, which will result in more coherent implementation and more powerful performance outcomes. The relevance of the MC in the MOI is further intensified by the fact that the alignment of MC and national vision documentations in the MOI is a magnified one since determined managers are interpreters of national expectations and translate it into working practices (Kao, 2017; Yusliza et al., 2019).

In spite of the fact that the earlier literature mainly discussed the way MC develops downstream capabilities like GPI and CE, MC could also be thought of as a general framework of capabilities that has a direct impact on OP through the provision of strategic alignment, the minimization of implementation barriers, and the maintenance of performance-based routines (Murmura et al., 2017; Karatepe & Türkmen, 2023). In this light, MC can be considered as a resource that facilitates capabilities as well as a capability itself and thus needs to be scrutinized in its direct connection to OP.

2.2. Transformational Leadership as a Boundary Condition

TL can be characterized by actions that describe a motivating vision, give personalized attention, provoke the intellect and followers, and set the preferred values, making followers more motivated and identified with the organizational objectives (Spencer et al., 2013; Garrido-Moreno et al., 2014; Desti Febrian et al., 2023). As a mass of empirical evidence indicates, TL is linked to an increased rate of employee involvement, organizational citizenship action, inventiveness, and OP in industries, including in the public services (Ekaabi et al., 2020; Kaur Bagga et al., 2023). TL improves the purpose and psychological resources of the employees which further promotes discretion effort towards organizational goals.

In recent studies, it is stressed that the impact of TL itself is conditioned by the boundary states, including organizational culture, competition, and the features of leaders. As an example, organizational culture has been observed to mediate the TL-OP relationship, where supportive cultures enhance performance gains of TL (Tashakkori et al., 2020; Kazmi et al., 2021). Equally, research indicates that the contingencies at the leader level can enhance the association between TL and employee vitality and job improvement behavior, with extraversion being one of the traits of a leader.

In this boundary-condition understanding, TL also may be considered as a moderator in the impacts of other organizational factors, such as capabilities and structural features (Kimario, 2019; Turban et al., 2022). To illustrate, TL can be used to intensify the influence of change-oriented practices, ethical systems, or digital technologies on the outcome through the frames of interpretation and motivation encouraging employees to use all these resources. Nevertheless, empirical research that specifically models TL as a modulator of the capability-performance links are still scarce, particularly in the public-sector setting.

Substitutes for Leadership Perspective

The present study also gains insight from Substitutes for Leadership Theory (Kerr & Jermier, 1978), which posits that there are some organizational characteristics that may decrease the need for the influence of leadership. In a formalized and centralized public sector context, strategic priorities can be found in regulations, procedures, and hierarchical structures. Formal systems thus can take the place of leadership’s influence when it comes to translating management’s commitment into organizational outcomes. The viewpoints indicate that transformational leadership might be less likely to moderate strategic level capabilities, like the management commitment, and more likely to moderate operational capabilities that involve employee engagement, interpretation and behavioral adaptations.

2.3. RBV with Moderation Logic

The RBV views organization performance as a service of valuable, rare, inimitable, and non-substitutable resources and capabilities. In the context of the public administration, this view has been applied to contend that leadership, innovation routines, and communication systems may form strategic resources which support the sustained performance (Barney, 1991; Greve, 2021). Nonetheless, RBV applications have tended to take a linear path in which resources generate capabilities that, in their turn, generate performance effects, usually through mediating processes (Koch & Koch, 2018; Yusliza et al., 2019).

The moderation-based RBV logic changes the focus towards the influence of contextual and configurational elements on the performance value of specific capabilities (Murmura et al., 2017; Kraus et al., 2020). This view does not presuppose that a particular capability is universally desirable but instead it holds that the same capability can have varying performance results in relation to complementary resources, leadership practices, and environmental factors. TL is easily accommodated into this view as a higher-order resource that specifies the effectiveness with which more particular capabilities-GPI or CE-are marshaled to performance (Feng & Chen, 2018; Ladogina et al., 2020).

In this reasoning, such capabilities as GPI and CE can be equally high in each unit, but their input to OP will be more significant where TL is high, since transformational leaders can propose the idea of these practices as at the core of the organizational mission, psychological safety to experiment and reinforce information on environmental initiatives and communication practices (Khanra et al., 2022; Lambert, 2022). Conversely, in low-TL environments, the same capabilities may be poorly employed or not tied to day-to-day considerations, leading to weaker performance impacts.

3. Conceptual Framework

The theoretical framework formulated in this paper revolves around the notion that MC, GPI and CE are organizational capabilities that have a direct effect on OP and TL is a boundary condition that determines the strength of these relationships (Lan et al., 2020; Lamsam & Charoensukmongkol, 2023; Lathabhavan & Kaur, 2023). The model adheres to the same main constructs as the previous research in the MOI but restructures the roles of the constructs: instead of placing GPI and CE between the MC and OP, all three capabilities are seen as the antecedents of the performance, and TL is added as a moderator of each capability-performance relationship (Walden et al., 2017; Li et al., 2022).

Within this framework MC represents a strategic capacity to match organizational priorities and resources with national sustainability and performance objectives; GPI represents the capacity to redesign processes in environmentally responsible ways; and CE represents the capacity to be timely, accurate, and transparent in the exchange of information between units (Locke & Latham, 2019). OP is theorized based on the efficiency, quality of service, responsiveness and accountability outcomes applicable to the case of the public-sector agencies.

TL is theorized as a cutting-across leadership resource that functions at various levels within the MOI, both senior executives and middle managers. TL does not substitute MC but instead compliments it by influencing the way employees perceive, interpret and implement the strategic priorities and capabilities of an organization (Lu et al., 2020; Karia, 2023). Leaders in high TL contextualize GPI and CE as core to the organizations mission, establish psychological safety in experimentation, and recognize and reward organizational behaviors that reflect these abilities. In the case of low TL, capabilities might be present in paper but less likely to be exploited to bring improvements in performance (Ma et al., 2019; Sarstedt et al., 2022).

This model thus assumes that TL modulates the direct effects of MC, GPI and CE on OP. Employees are more apt to feel the MC as genuine and inspiring, to become involved in green process enhancements, and to utilize the lines of communication actively to organize the work and resolve issues, which reinforces the influence of these abilities on OP when TL is high (Cheah et al., 2020; Maan & Srivastava, 2023). In the case of low TL, the corresponding levels of MC, GPI, or CE should provide lower performance improvements.

While previous research considers Management Commitment as an antecedent of Green Process Innovation and Communication Effectiveness, the present study takes a capability-based approach whereby strategic and operational capabilities are modeled in parallel as contributors to organizational performance. In this way, it is possible to study the effects of the independent performance value of each capability and to see if transformational leadership enhances these relationships differently (Figure 1).

Figure 1. Conceptual model illustrating the moderating role of Transformational Leadership in the relationship between organizational capabilities (Management Commitment, Green Process Innovation, and Communication Effectiveness) and Organizational Performance.

4. Hypotheses Development

4.1. Direct Effects on Organizational Performance

MC may directly impact OP positively by maintaining a strategic fit, offering a clear set of priorities, and harnessing resources towards performance-enhancing activities. Within public systems where there is high centralization, strong MC will assist in uniformity of reforms, less ambiguity about performance expectations and long-term support of change all of which contribute to increased service quality and responsiveness (Hair et al., 2019).

H1: Management commitment has a positive effect on organizational performance.

As an operation capability, GPI allows organizations to rearchitecture processes to minimize environmental impact, improve resource use and meet regulatory requirements that may result in more reliable and cost-efficient service delivery (Dai & Zhang, 2017). Research attributes green process innovation to enhanced operational efficiency, enhanced stakeholder legitimacy, and enhanced environmental performance, all of which contribute to improved organizational results (Turban et al., 2022; Muthulakshmi & Muthumoni, 2023).

H2: Green process innovation has a positive effect on organizational performance.

CE also facilitates the flow of information both within and across departments and ensures the coordination, transparency, and timely resolution of problems. There is some evidence that good communication correlates with improved employee performance, improved stakeholder relationship and enhanced flexibility to change in both state and private organizations (Ekaabi et al., 2020; Mysirlaki & Paraskeva, 2020). CE is likely to be a key driver of OP in the MOI where the smart policing and citizen services demand complex interdepartmental coordination.

H3: Communication effectiveness has a positive effect on organizational performance.

4.2. Transformational Leadership as Moderator

TL can enhance the MCOP relationship by transforming the top managerial promises into day-to-day behavior and meaning system, which motivates employees to internalize organizational priorities (Naeem et al., 2021; Khanra et al., 2022). Employees might view commitments as rhetorical or bureaucratic when MC is high, but TL is low, and as leaders strengthening MC by acting in a consistent way, communicating the vision, and providing individualized support, which in turn increases its effect on OP.

H4: Transformational leadership positively moderates the relationship between management commitment and organizational performance, such that the relationship is stronger at higher levels of transformational leadership.

TL will also tend to enhance the GPI OP relationship. Green process innovations can entail experimentation with new practices by employees, coordination across units, short-term disruption, and this can create uncertainty and resistance (Lan et al., 2020; Naumovska & Zajac, 2022; Oh, 2023). Transformational leaders can make green initiatives a core part of the organizational mission, offer intellectual stimulation to seek new solutions, and appreciate contributions to sustainability, making employees more willing to work on and use GPI to gain performance benefits.

H5: Transformational leadership positively moderates the relationship between green process innovation and organizational performance, such that the relationship is stronger at higher levels of transformational leadership.

TL will most probably enhance the relationship between CE and OP. Communication is the information backbone of coordination, yet employees require motivation, trust, and psychological safety in order to openly and positively utilize communication channels (Yusliza et al., 2019; Purwanto et al., 2021). TL promotes trust, recognition, and transparency and makes employees use communication channels to express their concerns, ideas, and feedback which further improves the performance merits of CE.

H6: Transformational leadership positively moderates the relationship between communication effectiveness and organizational performance, such that the relationship is stronger at higher levels of transformational leadership.

5. Methodology

5.1. Research Design and Context

The researcher uses cross-sectional quantitative research design to validate the hypothesized moderation model in the UAE MOI, which is a large state agency that handles internal security, policing, and the associated administrative support (Hair et al., 2019). The MOI is based on effective national-level guidelines that focus on sustainability, innovativeness, and smart service delivery; therefore, it makes a suitable environment to study the relationships between capability and performance and the leadership role.

5.2. Sampling and Data Collection

Data were gathered through an online questionnaire that was sent to employees in various departments and job grades in MOI. A stratified random sampling approach was used to enhance representativeness with respect to department and functional rank, based on an employee registry provided by the administrative office (Cheah et al., 2020; Qalati et al., 2022). The employees were randomly invited to participate within the stratum.

The result was 390 responses that were usable in total which is sufficient to complete a variance-based SEM and moderation analysis with the complexity of the model and the recommended minimum sample sizes (Henseler, 2017). The demographic subgroup was well-balanced in terms of gender, experience, and education levels, which implied the generalizability of the results in the context of MOI.

5.3. Measures

Multi-item scales based on previous validated measurements were used to measure all constructs. MC was measured with questions of Yusliza et al. (2019) and Murmura et al. (2017) focusing on the degree to which top managers value and promote sustainability, innovations, and communication-related activities. GPI items were redesigned based on Feng and Chen and Khanra et al. and were dedicated to the process changes that can lessen the environmental impact and enhance resource efficiency. Items of Lan et al. and Walden et al. (2017) were used to measure CE, which included clarity, timeliness, and completeness of internal communication. The results of efficiency, service quality, and responsiveness were reflected in the OP items adapted by Choi and Chun, and Karia.

Items that measured core transformational behaviors including articulating vision, intellectual stimulation, inspirational motivation, and individualized consideration were used to measure TL, which is consistent with other commonly used TL scales within the leadership literature (Qiu et al., 2020; Sarstedt et al., 2022). The items were tailored to the public-sector environment to capture leadership behaviors that apply to the MOI employees including motivating commitment to national vision and innovation in service processes.

All the items were rated on a five-point Likert scale, with 1 (strongly disagree) and 5 (strongly agree) as the lowest and highest scores respectively. The questionnaire was pre-tested on a small section of MOI employees to make sure it is clear and relevant to the context, and some wording changes have been made.

Due to limitations in access to operational performance records within the Ministry, perceptual measures of organizational performance were used. A valid proxy for organizational effectiveness in public sector settings has been shown in previous research to be employee assessments.

5.4. Data Analysis Procedures

SmartPLS 4.0 and partial least squares structural equation modeling (PLS-SEM) were used in the analysis of data. The PLS-SEM can be used to predict and develop theory with complex models and non-normal data, which are typical in survey research in organizations. The analysis was done in two steps.

The measurement model was initially tested in terms of reliability and validity. The internal consistency reliability was determined through Cronbach alpha and composite reliability (CR) with values of more than 0.70 being acceptable. The average variance extracted (AVE) was used to measure convergent validity where the values above 0.50 would mean satisfactory convergence. The Fornell-Larcker criterion and the cross-loading patterns were used to test discriminant validity.

Second, structural model was evaluated, both direct and interaction effects. Path coefficients, coefficient of determination (R2) and predictive relevance (Q2) were derived. Bootstrapping with 5000 resamples was used to test the significance of path coefficients and interaction terms.

5.5. Moderation Analysis

Interaction terms between TL and each predictor (MC, GPI, CE) were generated to test the moderating effects of TL. The product indicator approach was used in SmartPLS, in which standardized indicators of TL were multiplied by standardized indicators of each predictor construct to construct latent interaction terms. These constructs of interaction were then factored into the structural model as predictors of OP in addition to the main effects.

The positive interaction terms would be significant to show that TL enhances the positive relationship between the respective capability and OP. Simple slope analyses were performed to facilitate interpretation, by plotting the association between each capability and OP at low and high levels of TL (e.g., −1 standard deviation below and above the mean).

Multiple approaches were used to test for common method bias. First, procedural remedies were put in place such as anonymity protection, psychological separation of predictor and outcome constructs, and voluntary participation. Second, there was no indication of common method variance as all VIF values were obtained below 3.3, the threshold value, based on full collinearity assessment (Kock, 2015). Third, Harman’s single factor test was used as an auxiliary test, and it was found that there wasn’t a predominant factor.

Construct

Full Collinearity VIF

MC

2.41

GPI

2.68

CE

1.95

TL

2.52

OP

2.89

Full collinearity VIF values ranged from 1.95 to 2.89, all below the recommended threshold of 3.3 (Kock, 2015), suggesting that common method bias was unlikely to threaten the validity of the findings.

6. Results

6.1. Measurement Model Assessment

The measurement model was assessed in terms of internal consistency reliability, convergent validity, and discriminant validity using SmartPLS 4.0.

Internal consistency reliability was confirmed as all constructs demonstrated Cronbach’s alpha (α) and Composite Reliability (CR) values exceeding the recommended threshold of 0.70 (Hair et al., 2019). Convergent validity was established as all Average Variance Extracted (AVE) values were above 0.50, indicating that each construct explained more than 50% of the variance of its indicators (Table 1).

Table 1. Reliability and convergent validity.

Construct

Cronbach’s Alpha

CR

AVE

Management Commitment (MC)

0.840

0.886

0.609

Green Process Innovation (GPI)

0.870

0.906

0.659

Communication Effectiveness (CE)

0.872

0.899

0.561

Transformational Leadership (TL)

0.849

0.891

0.621

Organizational Performance (OP)

0.889

0.916

0.645

Discriminant validity was evaluated using the Fornell-Larcker criterion. The square root of AVE for each construct was greater than its inter-construct correlations, confirming adequate discriminant validity (Table 2).

Table 2. Discriminant validity (Fornell-Larcker criterion).

Construct

MC

GPI

CE

TL

OP

MC

0.781

GPI

0.749

0.812

CE

0.083

0.026

0.749

TL

0.548

0.708

0.066

0.788

OP

0.452

0.460

0.139

0.401

0.803

All values satisfy the recommended thresholds, indicating that the measurement model is reliable and valid.

6.2. Structural Model Assessment (Direct Effects)

The structural model was evaluated using bootstrapping with 5000 resamples. The results indicate that all three predictors MC, GPI, and CE have significant positive effects on OP (Table 3).

Table 3. Direct path coefficients.

Hypothesis

Path

β

t-value

p-value

Result

H1

MC → OP

0.223

2.542

0.011

Supported

H2

GPI → OP

0.196

2.312

0.021

Supported

H3

CE → OP

0.107

2.426

0.015

Supported

Management Commitment exhibits the strongest direct effect on OP, followed by Green Process Innovation and Communication Effectiveness.

The coefficient of determination (R2) for OP is 0.671, indicating that approximately 67.1% of the variance in organizational performance is explained by the model, reflecting substantial explanatory power.

6.3. Moderation Effects

Moderation effects were assessed by introducing interaction terms between Transformational Leadership (TL) and each predictor variable (Table 4).

Table 4. Moderation effects.

Hypothesis

Path

β

t-value

p-value

Result

H4

TL × MC → OP

0.082

1.921

0.055

Marginally Supported

H5

TL × GPI → OP

0.214

2.876

0.004

Supported

H6

TL × CE → OP

0.189

2.542

0.011

Supported

The interaction effects reveal that TL significantly moderates the relationships between GPI and OP, and CE and OP, while its moderating effect on MC is weaker and marginally significant (Figure 2).

The interaction plot indicates that the relationship between Green Process Innovation (GPI) and Organizational Performance (OP) is much stronger at a higher level of Transformational Leadership (TL). When the TL conditions are low, the slope will be flatter, which means that the performance gains will be weak. Nonetheless, the steepness of the slope increases with TL, indicating that transformational leaders enhance the efficiency of green innovation initiatives in boosting organizational performance (Figure 3).

Figure 2. Moderating effect of transformational leadership on the relationship between green process innovation and organizational performance.

Figure 3. Moderating effect of transformational leadership on the relationship between communication effectiveness and organizational performance.

The findings reveal that Transformational Leadership enhances the positive connection between Communication Effectiveness (CE) and Organizational Performance (OP). The slope becomes much steeper at higher levels of TL, suggesting that effective communication can be translated more into performance outcomes. Conversely, the influence of communication on performance is relatively small under low TL (Figure 4).

There is a positive moderating effect, although in a less significant manner, between Management commitment (MC) and Transformational Leadership (TL). Although, MC has a stronger association with OP under high TL, the change between the high and the low TL is not as intense as GPI and CE. This indicates that leadership is supportive, but not dominant in boosting the effectiveness of the performance of management commitment.

Figure 4. Moderating effect of transformational leadership on the relationship between management commitment and organizational performance.

6.4. Simple Slope Analysis

To interpret moderation effects, simple slope analyses were conducted at high (+1 SD) and low (−1 SD) levels of TL.

  • For GPI → OP, the slope is significantly steeper under high TL (β = 0.34) compared to low TL (β = 0.12), indicating that transformational leadership amplifies the performance impact of green innovation.

  • For CE → OP, the relationship is stronger under high TL (β = 0.29) than under low TL (β = 0.09), suggesting that leadership enhances the effectiveness of communication processes.

  • For MC → OP, the slope difference is smaller (high TL β = 0.26 vs low TL β = 0.18), supporting the weaker moderation effect.

6.5. Effect Size (f2)

Effect sizes were calculated to assess the relative contribution of each predictor (Table 5).

Table 5. Effect sizes (f2).

Path

f2

Effect Size

MC → OP

0.11

Small-Medium

GPI → OP

0.14

Medium

CE → OP

0.09

Small

TL × GPI → OP

0.08

Small-Medium

TL × CE → OP

0.07

Small-Medium

TL × MC → OP

0.03

Small

6.6. Predictive Relevance (Q2)

Using the blindfolding procedure, the Q2 value for OP was 0.421, indicating strong predictive relevance of the model.

6.7. Summary of Findings

The results confirm that MC, GPI, and CE significantly influence organizational performance. It is also identified that Transformational Leadership strengthens the impact of GPI and CE Furthermore, there is moderating effect on MC is comparatively weaker. Overall, the findings support the conceptualization of Transformational Leadership as a boundary condition that enhances the effectiveness of organizational capabilities in driving performance.

7. Discussion

The current research project aimed to go beyond process-related accounts of organizational performance by gauging the possibility of transformational leadership (TL) as a boundary condition that determines the effectiveness of crucial organizational capabilities. The results are a definite affirmation of this repositioning and give a more refined view of the manner in which performance is achieved within the context of the public sector (Qu & Liu, 2022; Karia, 2023; Rapizal & Mohd Fuzi, 2023).

7.1. Reinterpreting Organizational Capabilities in the Public Sector

The findings validate the hypothesis that Management Commitment (MC), Green Process Innovation (GPI), and Communication Effectiveness (CE) have strong positive influence on Organizational Performance (OP). This supports the main assumption of the Resource-Based View (RBV) that internal organizational capabilities are key performance determinants. Nevertheless, the comparative strengths of these relationships provide the picture of greater differentiation (Spencer et al., 2013).

Management Commitment proves to be the most robust direct predictor of performance, and the role of strategic alignment and top-level support in well-organized public-sector setting remains significant (Rasminingsih et al., 2022). Within the framework of the UAE Ministry of Interior, where vertical control and centralisation of decision-making are the norm, the willingness of the top-level management seems to directly correlate with better coordination, resource distribution, and consistency of implementation (de Azevedo Rezende et al., 2019; Rehman et al., 2021).

Simultaneously, the pronounced impacts of GPI and CE suggest that the operational capabilities, especially the ones associated with sustainability and communication, are not the supporting mechanisms only but rather the autonomous drivers of performance. This is especially pertinent in the reformative-based public systems where environmental programs and communication systems are progressively integrated within performance requirements (Rice et al., 2017; Ekaabi et al., 2020). Combined, these results indicate that strategic intent (MC) and operational execution (GPI and CE) co-produce performance in public organizations, as opposed to being driven by any of the dimensions (Schyns et al., 2020; Games et al., 2022).

7.2. Transformational Leadership as Capability Effectiveness Amplifier

The main contribution of the research is the ability to prove that transformational leadership is not so much a mediating mechanism, but an enhancer of the already existing abilities. This claim is well supported by the strong empirical evidence of the significant moderation effects of GPI and CE (Sun & Sun, 2021; Kliangsa-Art & Oentoro, 2022).

In particular, the results of the interaction indicate that the positive effect of green process innovation on performance is significant when the levels of transformational leadership are high. This implies that inasmuch as GPI gives the structural framework of sustainable practice, its implementation into actual performance benefits is subject to actions by leaders that foster experimentation, decrease change resistance and coordinate environmental action to organizational goals (Lan et al., 2020; Sürücü et al., 2022). Without such leadership, green initiatives can be procedural or symbolic, limiting their performance impact.

The same trend is observed with regard to communication effectiveness. Although CE has an independent effect on performance, its effect is highly enhanced in the presence of transformational leadership. It means that the communication structures are not enough; it is how leaders engage such structures through building trust, openness, and understanding (Ekaabi et al., 2020). Transformational leaders seem to turn the communication channels into meaningful collaboration mechanisms and thus make them more relevant in their performance (Casado-Aranda et al., 2020; Tarigan et al., 2021).

All these findings move the role of leadership to be not just an enabler of organizational effectiveness but also a configurator. In this meaning, leadership does not dictate the presence of capabilities, but their utilisation.

7.3. A Subtle Role of Leadership in Strategic vs. Operational Areas

A key observation comes out of the relatively less significant moderation effect of TL on the MC-OP relationship. The interaction is positive, but it is smaller and only significant in some specifications (Khanra et al., 2022; Wang et al., 2022). This implies that transformational leadership is not so dominant in intensifying the performance effect of strategic level capabilities like the management commitment.

A possible reason is the very nature of MC. Management commitment is a high-level, structurally embedded capability, thereby already having a direct effect on performance by providing formal control, alignment of policies, and resource distribution (Dubey et al., 2019). When these happen, leadership behaviors can be of incremental value, but they are not the key process of performance realization. The relative low level of moderation impact of the TL between the MC-OP relationship implies that management commitment is more formal, through structures, governance systems and resource allocation systems, and less relies on leadership amplification. Management commitment is embedded in organizational policy and strategic planning procedures, rather than being a capability such as communication effectiveness and green process innovation. Therefore, it’s incremental value and not transformational value when it comes to this relationship. Weak H4 finding can be explained in the light of Substitutes for Leadership Theory. The UAE Ministry of Interior (MOI) has a well-established formal policy and central governance to ensure strategic priorities are maintained. These structures can replace the impact of leadership, thus limiting the incremental effect of leadership on the MC-OP relationship.

Operational capabilities that include GPI and CE need ongoing interpretation, motivation and reinforcement of behaviour at the employee level. It is these areas that transformational leadership is essential (Ekaabi et al., 2020). The results thus indicate that there is a differentiated role of leadership with TL being more consequential in operational and behavioral areas than stratum-based strategic functions.

7.4. Moving towards a Boundary-Condition Approach to RBV

The findings add to an increasing literature that requires a more dynamic understanding of the Resource-Based View. The conventional RBV models tend to believe that valuable capabilities will automatically translate into high performance (Yusliza et al., 2019). The current results, however contradict this premise by showing that the performance value of capabilities depends on the context of leadership.

This study empirically supports a moderation-based RBV logic, according to which the efficacy of capabilities is conditional upon complementary resources, by demonstrating that TL dramatically changes the strength of the GPI-OP and CE-OP relationships (Ekaabi et al., 2020). Transformational leadership becomes a superior resource which adds value to existing capabilities via embedding them in the systems of shared meaning, encouraging employee involvement, and supporting their strategic significance (Lan et al., 2020).

This view transcends the linear resource-capability-performance links, and a more configurational view of organizational performance takes its place (Gomes & Romão, 2023). It recommends that capabilities cannot be assessed separately of the leadership context within which they are applied (Ekaabi et al., 2020).

7.5. UAE Public Sector Contextual Insights

The implications of the findings on the context of the work of the public-sector organizations in the reform-driven settings that include the UAE are also significant. The national agendas of sustainability, digital transformation, and service excellence demand not just the capabilities development but also effective implementation on a large scale (Adusei et al., 2023; Ebaid, 2023).

The high levels of moderation that have been found in both GPI and CE imply that transformational leadership is important in closing the gap between policy intent and operational reality. Leadership behaviors that encourage, motivate and involve employees seem crucial to making initiatives not to be turned into procedures of compliance in a system with formal structures and compliance requirements (Bataineh et al., 2024).

Further, the moderation effect of MC is relatively weaker which means that structural devotion is not enough to ensure optimal performance results. Leadership practices at various levels of the organization are essential in translation of strategic priorities into action even in highly centralized systems.

7.6. Synthesis of Findings

Combined, the findings provide evidence of reconceptualizing organizational performance in the public sector, as a process of capability presence and capability activation. Whereas MC, GPI, and CE give the resource base needed in performance, transformational leadership dictates how far the resources are mobilized.

This two-sided opinion provides a more holistic understanding of the dynamics of performance, with investments in capabilities complemented by investments in leadership development. In the absence of such alignment, even well-crafted organizational systems might not perform to their optimum capability.

8. Theoretical Contributions

This research contributes to theory by repositioning the concept of leadership in relationships between capabilities and performance. To start with, it changes the prevailing vision of the process explanation to the explanation of the boundary conditions. Instead of considering leadership as a process in which capabilities modulate performance, the results indicate that conditions of transformational leadership (TL) moderate the strengths of such relationships, which points to the time when capabilities are most effective.

Second, the research expands the Resource-Based View (RBV) by posing a moderation-based reasoning, showing that the value of organizational capabilities is not predetermined but relies on complementary resources like leadership. TL is a second-tier potential that improves the successful implementation of green innovation and communication practices.

The current study showed that strategic and operational capabilities can contribute to the organisational performance, and it does not necessarily have to follow a sequential resource-capability chain. This alternative specification expands on earlier research and shows that there are differences in the way that transformational leadership affects the effectiveness of capability. The results indicate that leadership has a differential impact on capabilities, with operational capabilities having a stronger influence on leadership’s impact on performance than strategic level capabilities.

Third, the results provide a differentiated perspective of leadership influence, where TL is more effective in operational capabilities (GPI and CE) than strategic commitment (MC) (Gachira & Ntara, 2024). This implies that leadership is especially important in fields that need behavioral mobilization as opposed to structural conformity. The research adds a more dynamic concept of performance, in which capabilities and leadership do not act but, instead, interact.

9. Conclusion

In this study, it was investigated whether transformational leadership can be a boundary condition that determines the effectiveness of organizational capabilities in the UAE public sector. The findings support the claim that management commitment, green process innovation, and communication effectiveness go a long way in improving performance in the organization. Their influence is not, however, everywhere the same. Transformational leadership is a much stronger predictor of the positive performance impact of green innovation and communication, but its impact on management commitment is relatively less strong. This implies that performance is not about the availability of capabilities alone but the activation of abilities by means of leadership. The results indicate that leadership is important in converting capabilities to quantifiable outputs within the settings of reforms in the public sector. More generally, the research contributes to the change in the perception of performance as a product of active interaction between capabilities and leadership situation.

10. Limitations and Future Research

There are a number of limitations in this study. Firstly, the cross-sectional design does not allow for causal relations to be drawn between the variables studied. Longitudinal designs could be used in future studies to investigate the causal effects over a longer period of time. Second, the study was carried out in one public sector organization (UAE Ministry of Interior), which might restrict the generalizability of the results. The model should be validated in other public and private sector settings in future studies.

Third, perceptual assessments were used to measure organizational performance, and not objective performance measures. While perceptual measures are popular in organizational research, future studies might be more externally valid with the addition of objective measures such as service delivery efficiency, citizen satisfaction scores, processing times, and departmental performance records. Lastly, only one moderating variable (transformational leadership) was used in this study. Future studies could focus on other types of leadership and factors in the context in order to have a more general understanding of the capability-performance relationship.

Conflicts of Interest

The authors declare no conflicts of interest regarding the publication of this paper.

References

[1] Abid, N., Dowling, M., Ceci, F., & Aftab, J. (2023). Does Resource Bricolage Foster SMEs’ Competitive Advantage and Financial Performance? A Resource-Based Perspective. Business Strategy and the Environment, 32, 5833-5853. [Google Scholar] [CrossRef]
[2] Adusei, E., Demah, E., & Boso, R. K. (2023). Top Management Commitment in Greening Supply Chain Operations: Post-COVID-19 Perspectives from an Emerging Economy. Journal of Global Operations and Strategic Sourcing, 16, 773-797. [Google Scholar] [CrossRef]
[3] Bargenda, A. (2019). Aesthetic CSR Communication: A Global Perspective on Organizational Art Collections. In A. Bartoli, J. L. Guerrero, & P. Hermel (Eds.), Responsible Organizations in the Global Context (pp. 117-132). Springer. [Google Scholar] [CrossRef]
[4] Barney, J. (1991). Firm Resources and Sustained Competitive Advantage. Journal of Management, 17, 99-120. [Google Scholar] [CrossRef]
[5] Bataineh, M. J., Sánchez‐Sellero, P., & Ayad, F. (2024). Green Is the New Black: How Research and Development and Green Innovation Provide Businesses a Competitive Edge. Business Strategy and the Environment, 33, 1004-1023. [Google Scholar] [CrossRef]
[6] Braga Junior, S. S., da Silva, D. D., Gabriel, M. L. D. S., & De Oliveira Braga, W. R. (2018). The Influence of Environmental Concern and Purchase Intent in Buying Green Products. Asian Journal of Behavioural Studies, 3, 183-193. [Google Scholar] [CrossRef]
[7] Casado-Aranda, L., Sánchez-Fernández, J., Ibáñez-Zapata, J., & Liébana-Cabanillas, F. J. (2020). How Consumer Ethnocentrism Modulates Neural Processing of Domestic and Foreign Products: A Neuroimaging Study. Journal of Retailing and Consumer Services, 53, Article ID: 101961. [Google Scholar] [CrossRef]
[8] Charoensukmongkol, P., & Lamsam, N. (2022). Effect of CEO Transformational Leadership on Organizational Ethical Culture and Firm Performance: The Moderating Effect of Competitive Intensity. Journal of Asia Business Studies, 17, 539-558. [Google Scholar] [CrossRef]
[9] Cheah, J. H., Thurasamy, R., Memon, M. A., Chuah, F., & Ting, H. (2020). Multigroup Analysis Using SmartPLS: Step-By-Step Guidelines for Business Research. Asian Journal of Business Research, 10, I-XIX. [Google Scholar] [CrossRef]
[10] Dai, R., & Zhang, J. (2017). Green Process Innovation and Differentiated Pricing Strategies with Environmental Concerns of South-North Markets. Transportation Research Part E: Logistics and Transportation Review, 98, 132-150. [Google Scholar] [CrossRef]
[11] de Azevedo Rezende, L., Bansi, A. C., Alves, M. F. R., & Galina, S. V. R. (2019). Take Your Time: Examining When Green Innovation Affects Financial Performance in Multinationals. Journal of Cleaner Production, 233, 993-1003. [Google Scholar] [CrossRef]
[12] Desti Febrian, W., Muliyati,, Lily,, Rajab, M., & Thamrin AR, M. (2023). Transactional Leadership: Employee Performance and Organizational Performance (Literature Review). East Asian Journal of Multidisciplinary Research, 2, 1129-1142. [Google Scholar] [CrossRef]
[13] Diaz, C. M., Egide, A., Berry, A., Rafferty, M., Amro, A., Tesorero, K. et al. (2023). Defining Conditions for Effective Interdisciplinary Care Team Communication in an Open Surgical Intensive Care Unit: A Qualitative Study. BMJ Open, 13, e075470. [Google Scholar] [CrossRef] [PubMed]
[14] Dubey, R., Gunasekaran, A., Childe, S. J., Blome, C., & Papadopoulos, T. (2019). Big Data and Predictive Analytics and Manufacturing Performance: Integrating Institutional Theory, Resource-Based View and Big Data Culture. British Journal of Management, 30, 341-361. [Google Scholar] [CrossRef]
[15] Ebaid, I. E. S. (2023). Nexus between Sustainability Reporting and Corporate Financial Performance: Evidence from an Emerging Market. International Journal of Law and Management, 65, 152-171. [Google Scholar] [CrossRef]
[16] Ekaabi, M., Khalid, K., & Davidson, R. (2020). The Service Quality and Satisfaction of Smart Policing in the UAE. Cogent Business & Management, 7, Article ID: 1751904. [Google Scholar] [CrossRef]
[17] Feng, Z., & Chen, W. (2018). Environmental Regulation, Green Innovation, and Industrial Green Development: An Empirical Analysis Based on the Spatial Durbin Model. Sustainability, 10, Article 223. [Google Scholar] [CrossRef]
[18] Gachira, J. N., & Ntara, C. (2024). Effect of Transformational Leadership on Organisational Performance of Top 100 SMEs in Nairobi, Kenya. Journal of Human Resource & Leadership, 8, 82-99.
[19] Games, D., Hidayat, T., Fhardilha, J., Fernando, Y., & Kurnia Sari, D. (2022). The Impact of Trust, Knowledge Sharing, and Affective Commitment on SME Innovation Performance. Journal of Governance and Integrity, 5, 267-274. [Google Scholar] [CrossRef]
[20] Garrido-Moreno, A., Lockett, N., & García-Morales, V. (2014). Paving the Way for CRM Success: The Mediating Role of Knowledge Management and Organizational Commitment. Information & Management, 51, 1031-1042. [Google Scholar] [CrossRef]
[21] Gomes, J. V., & Romão, M. J. B. (2023). Gaining a Competitive Advantage through Benefits Management. International Journal of Strategic Decision Sciences, 14, 1-15. [Google Scholar] [CrossRef]
[22] Gong, R., Wu, Y. Q., Chen, F. W., & Yan, T. H. (2020). Labor Costs, Market Environment and Green Technological Innovation: Evidence from High-Pollution Firms. International Journal of Environmental Research and Public Health, 17, Article 522. [Google Scholar] [CrossRef] [PubMed]
[23] Greve, H. R. (2021). The Resource-Based View and Learning Theory: Overlaps, Differences, and a Shared Future. Journal of Management, 47, 1720-1733. [Google Scholar] [CrossRef]
[24] Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to Use and How to Report the Results of Pls-sem. European Business Review, 31, 2-24. [Google Scholar] [CrossRef]
[25] Hansbrough, T. K., & Schyns, B. (2018). The Appeal of Transformational Leadership. Journal of Leadership Studies, 12, 19-32. [Google Scholar] [CrossRef]
[26] Hariharan, K., & Anand, V. (2023). Transformational Leadership and Learning Flows. The Learning Organization, 30, 309-325. [Google Scholar] [CrossRef]
[27] Hasan, S. A. S., Waghule, S. N., & Hasan, M. B. (2024). Linking Environmental Management Accounting to Environmental Performance: The Role of Top Management Support and Institutional Pressures. Cogent Business & Management, 11, Article ID: 2296700. [Google Scholar] [CrossRef]
[28] Henseler, J. (2017). Partial Least Squares Path Modeling. In P. Leeflang, J. Wieringa, T. Bijmolt, & K. Pauwels (Eds.), Advanced Methods for Modeling Markets (pp. 361-381). Springer. [Google Scholar] [CrossRef]
[29] Hilton, S. K., Madilo, W., Awaah, F., & Arkorful, H. (2023). Dimensions of Transformational Leadership and Organizational Performance: The Mediating Effect of Job Satisfaction. Management Research Review, 46, 1-19. [Google Scholar] [CrossRef]
[30] Hoai, T. T., Hung, B. Q., & Nguyen, N. P. (2022). The Impact of Internal Control Systems on the Intensity of Innovation and Organizational Performance of Public Sector Organizations in Vietnam: The Moderating Role of Transformational Leadership. Heliyon, 8, e08954. [Google Scholar] [CrossRef] [PubMed]
[31] Hsiao, M. H. (2024). Resource Integration and Firm Performance through Organizational Capabilities for Digital Transformation. Digital Transformation and Society. [Google Scholar] [CrossRef]
[32] Huang, J. W., & Li, Y. H. (2017). Green Innovation and Performance: The View of Organizational Capability and Social Reciprocity. Journal of Business Ethics, 145, 309-324. [Google Scholar] [CrossRef]
[33] Hult, M., Terkamo-Moisio, A., Kaakinen, P., Karki, S., Nurmeksela, A., Palonen, M. et al. (2023). Relationships between Nursing Leadership and Organizational, Staff and Patient Outcomes: A Systematic Review of Reviews. Nursing Open, 10, 5920-5936. [Google Scholar] [CrossRef] [PubMed]
[34] Hussain, T., Abid, N., & Samuel, A. (2020). Competence Analysis of Elementary School Teachers with Respect to Effective Communication and Proficient Use of Information Communication Technologies. Bulletin of Education and Research, 42, 117-130.
[35] Isaac, O., Abdullah, Z., Ramayah, T., & Mutahar, A. M. (2017). Internet Usage, User Satisfaction, Task-Technology Fit, and Performance Impact among Public Sector Employees in Yemen. The International Journal of Information and Learning Technology, 34, 210-241. [Google Scholar] [CrossRef]
[36] Islam, M. N., Furuoka, F., & Idris, A. (2021). Mapping the Relationship between Transformational Leadership, Trust in Leadership and Employee Championing Behavior during Organizational Change. Asia Pacific Management Review, 26, 95-102. [Google Scholar] [CrossRef]
[37] Jabbarzare, E., & Shafighi, N. (2019). Total Quality Management Practices and Organizational Performance. Open Science Journal of Statistics Application, 6, 6-12.
[38] Jiang, H., & Men, R. L. (2017). Creating an Engaged Workforce: The Impact of Authentic Leadership, Transparent Organizational Communication, and Work-Life Enrichment. Communication Research, 44, 225-243. [Google Scholar] [CrossRef]
[39] Jiang, Y., Ding, X., & Zhang, J. (2024). Toward Environmental Efficiency: Analyzing the Impact of Green Innovation Initiatives in Enterprises. Managerial and Decision Economics, 46, 1206-1223. [Google Scholar] [CrossRef]
[40] Jiatong, W., Wang, Z., Alam, M., Murad, M., Gul, F., & Gill, S. A. (2022). The Impact of Transformational Leadership on Affective Organizational Commitment and Job Performance: The Mediating Role of Employee Engagement. Frontiers in Psychology, 13, Article 931060. [Google Scholar] [CrossRef] [PubMed]
[41] Jun, K., & Lee, J. (2023). Transformational Leadership and Followers’ Innovative Behavior: Roles of Commitment to Change and Organizational Support for Creativity. Behavioral Sciences, 13, Article 320. [Google Scholar] [CrossRef] [PubMed]
[42] Jurevicius, O. (2021). Resource-Based View.
https://strategicmanagementinsight.com/tools/resource-based-view/
[43] Kalogiannidis, S. (2020). Impact of Effective Business Communication on Employee Performance. European Journal of Business and Management Research, 5. [Google Scholar] [CrossRef]
[44] Kao, R. H. (2017). The Relationship between Work Characteristics and Change-Oriented Organizational Citizenship Behavior. Personnel Review, 46, 1890-1914. [Google Scholar] [CrossRef]
[45] Karatepe, H. K., & Türkmen, E. (2023). Serial-Multiple Mediation of Transformational and Clinical Leadership in the Relationship between Work Overload and Quality of Work Life among Nurses: A Job Demands-Resources Framework. Collegian, 30, 521-529. [Google Scholar] [CrossRef]
[46] Karia, A. (2023). Efficacy of Selected Human Resource Management Practices on Performance of Public Sector Organizations: A Study of Public Water Utilities in Tanzania. International Journal of Research in Human Resource Management, 5, 62-67. [Google Scholar] [CrossRef]
[47] Katou, A. A., Koupkas, M., & Triantafillidou, E. (2022). Job Demands-Resources Model, Transformational Leadership and Organizational Performance: A Multilevel Study. International Journal of Productivity and Performance Management, 71, 2704-2722. [Google Scholar] [CrossRef]
[48] Kaur Bagga, S., Gera, S., & Haque, S. N. (2023). The Mediating Role of Organizational Culture: Transformational Leadership and Change Management in Virtual Teams. Asia Pacific Management Review, 28, 120-131. [Google Scholar] [CrossRef]
[49] Kazmi, S., Kanwal, F., Rathore, K., Faheem, K., & Fatima, A. (2021). The Relationship between Transformational Leadership and Organisational Learning Capability with the Mediating Role of Perceived Human Resource Effectiveness. South Asian Journal of Human Resources Management, 8, 133-157. [Google Scholar] [CrossRef]
[50] Kerr, S., & Jermier, J. M. (1978). Substitutes for Leadership: Their Meaning and Measurement. Organizational Behavior and Human Performance, 22, 375-403. [Google Scholar] [CrossRef]
[51] Khanra, S., Kaur, P., Joseph, R. P., Malik, A., & Dhir, A. (2022). A Resource‐based View of Green Innovation as a Strategic Firm Resource: Present Status and Future Directions. Business Strategy and the Environment, 31, 1395-1413. [Google Scholar] [CrossRef]
[52] Kimario, J. (2019). Influence of Customer Demand and Green Product Innovation on Firms’ Performance: A Case of Food Processing Firms in Tanzania. ORSEA Journal, 4, 1-10.
[53] Kliangsa-Art, S., & Oentoro, W. (2022). Exploring the Internal Mechanism between Top Management Commitment, Innovation Capability, and Service Performance, Moderated by the Direction of Communication in the Thai Hotel Industry. Journal of Positive School Psychology, 6, 1054-1072.
[54] Koch, B. J., & Koch, P. L. T. (2018). Joint Venture Survival in China: The Importance of Tangible and Intangible Trust. Journal of Asia Business Studies, 12, 173-192. [Google Scholar] [CrossRef]
[55] Kock, N. (2015). Common Method Bias in PLS-SEM: A Full Collinearity Assessment Approach. International Journal of e-Collaboration, 11, 1-10. [Google Scholar] [CrossRef]
[56] Kraus, S., Rehman, S. U., & García, F. J. S. (2020). Corporate Social Responsibility and Environmental Performance: The Mediating Role of Environmental Strategy and Green Innovation. Technological Forecasting and Social Change, 160, Article ID: 120262. [Google Scholar] [CrossRef]
[57] Kristina, (2020). The Organizational Communication Perspective Theory. Journal of Sosial Science, 1, 61-74. [Google Scholar] [CrossRef]
[58] Ladogina, A., Samoylenko, I., Golovina, V., Razina, N., & Petushkova, E. (2020). Communication Effectiveness in Social Networks of Leading Universities. Revista científica de información y comunicación, No. 17, 319-344. [Google Scholar] [CrossRef]
[59] Lambert, S. (2022). Measuring Emotions and Empathy in Educational Leadership. In V. Wang (Ed.), Handbook of Research on Educational Leadership and Research Methodology (pp. 162-181). IGI Global. [Google Scholar] [CrossRef]
[60] Lamsam, N., & Charoensukmongkol, P. (2023). Effect of CEO Transformational Leadership on Organizational Ethical Culture and Firm Performance: The Moderating Effect of Competitive Intensity. Journal of Asia Business Studies, 17, 539-558. [Google Scholar] [CrossRef]
[61] Lan, T. S., Chuang, K. C., Li, H. X., Tu, J. F., & Huang, H. S. (2020). Symmetric Modeling of Communication Effectiveness and Satisfaction for Communication Software on Job Performance. Symmetry, 12, Article 418. [Google Scholar] [CrossRef]
[62] Lathabhavan, R., & Kaur, S. (2023). Promoting Green Employee Behaviour from the Lens of Green Transformational Leadership. Leadership & Organization Development Journal, 44, 994-1015. [Google Scholar] [CrossRef]
[63] Li, M., Tian, Z., Liu, Q., & Lu, Y. (2022). Literature Review and Research Prospect on the Drivers and Effects of Green Innovation. Sustainability, 14, Article 9858. [Google Scholar] [CrossRef]
[64] Locke, E. A., & Latham, G. P. (2019). The Development of Goal Setting Theory: A Half Century Retrospective. Motivation Science, 5, 93-105. [Google Scholar] [CrossRef]
[65] Lu, J., Ren, L., Zhang, C., Rong, D., Ahmed, R. R., & Streimikis, J. (2020). Modified Carroll’s Pyramid of Corporate Social Responsibility to Enhance Organizational Performance of SMEs Industry. Journal of Cleaner Production, 271, Article ID: 122456. [Google Scholar] [CrossRef]
[66] Ma, Y., Zhang, Q., & Yin, Q. (2019). Influence of Environmental Management on Green Process Innovation: Comparison of Multiple Mediating Effects Based on Routine Replication. International Journal of Environmental Research and Public Health, 16, Article 4346. [Google Scholar] [CrossRef] [PubMed]
[67] Maan, P., & Srivastava, D. K. (2023). Factors Affecting Team Performance: An Empirical Study of Indian Geny and Genz Cohorts. Equality, Diversity and Inclusion: An International Journal, 42, 986-1006. [Google Scholar] [CrossRef]
[68] Murmura, F., Bravi, L., & Palazzi, F. (2017). Evaluating Companies’ Commitment to Corporate Social Responsibility: Perceptions of the SA 8000 Standard. Journal of Cleaner Production, 164, 1406-1418. [Google Scholar] [CrossRef]
[69] Muthulakshmi, P., & Muthumoni, A. (2023). Determinants of Financial Performance—A Comparative Analysis of Public Sector Non-Life Insurers in India. SDMIMD Journal of Management, 14, 25-33. [Google Scholar] [CrossRef]
[70] Mysirlaki, S., & Paraskeva, F. (2020). Emotional Intelligence and Transformational Leadership in Virtual Teams: Lessons from MMOGs. Leadership & Organization Development Journal, 41, 551-566. [Google Scholar] [CrossRef]
[71] Naeem, R. M., Channa, K. A., Hameed, Z., Ali Arain, G., & Islam, Z. U. (2021). The Future of Your Job Represents Your Future: A Moderated Mediation Model of Transformational Leadership and Job Crafting. Personnel Review, 50, 207-224. [Google Scholar] [CrossRef]
[72] Naumovska, I., & Zajac, E. J. (2022). How Inductive and Deductive Generalization Shape the Guilt-By-Association Phenomenon among Firms: Theory and Evidence. Organization Science, 33, 373-392. [Google Scholar] [CrossRef]
[73] Oh, Y. (2023). Communication and Team Cohesion Moderate the Relationship between Transformational Leadership and Athletic Performance. Sage Open, 13. [Google Scholar] [CrossRef]
[74] Purwanto, A., Purba, J. T., Sijabat, R., & Bernarto, I. (2021). The Role of Transformational Leadership, Organizational Citizenship Behaviour, Innovative Work Behaviour, Quality Work Life, Digital Transformation and Leader Member Exchange on Universities Performance. Linguistica Antverpiensia, 2, 2908.
[75] Qalati, S. A., Zafar, Z., Fan, M., Sánchez Limón, M. L., & Khaskheli, M. B. (2022). Employee Performance under Transformational Leadership and Organizational Citizenship Behavior: A Mediated Model. Heliyon, 8, e11374. [Google Scholar] [CrossRef] [PubMed]
[76] Qiu, L., Jie, X., Wang, Y., & Zhao, M. (2020). Green Product Innovation, Green Dynamic Capability, and Competitive Advantage: Evidence from Chinese Manufacturing Enterprises. Corporate Social Responsibility and Environmental Management, 27, 146-165. [Google Scholar] [CrossRef]
[77] Qu, K., & Liu, Z. (2022). Green Innovations, Supply Chain Integration and Green Information System: A Model of Moderation. Journal of Cleaner Production, 339, Article ID: 130557. [Google Scholar] [CrossRef]
[78] Rapizal, N. U., & Mohd Fuzi, N. (2023). Lean Management Practices on Organizational Performance in Malaysian Public Universities. International Journal of Academic Research in Business and Social Sciences, 13, 1330-1335. [Google Scholar] [CrossRef]
[79] Rasminingsih, N. K. N., Wardana, I. M. A., & Sanjiwani, P. A. P. (2022). Transformational Leadership and Workplace Spirituality on Employee Performance Mediated by Organizational Commitment. Journal of International Conference Proceedings, 5, 278-285. [Google Scholar] [CrossRef]
[80] Rehman, S. U., Kraus, S., Shah, S. A., Khanin, D., & Mahto, R. V. (2021). Analyzing the Relationship between Green Innovation and Environmental Performance in Large Manufacturing Firms. Technological Forecasting and Social Change, 163, Article ID: 120481. [Google Scholar] [CrossRef]
[81] Rice, R. E., Evans, S. K., Pearce, K. E., Sivunen, A., Vitak, J., & Treem, J. W. (2017). Organizational Media Affordances: Operationalization and Associations with Media Use. Journal of Communication, 67, 106-130. [Google Scholar] [CrossRef]
[82] Sarstedt, M., Hair, J. F., Pick, M., Liengaard, B. D., Radomir, L., & Ringle, C. M. (2022). Progress in Partial Least Squares Structural Equation Modeling Use in Marketing Research in the Last Decade. Psychology & Marketing, 39, 1035-1064. [Google Scholar] [CrossRef]
[83] Schyns, B., Kiefer, T., & Foti, R. J. (2020). Does Thinking of Myself as Leader Make Me Want to Lead? The Role of Congruence in Self-Theories and Implicit Leadership Theories in Motivation to Lead. Journal of Vocational Behavior, 122, Article ID: 103477. [Google Scholar] [CrossRef]
[84] Spencer, L. M., Schooley, M. W., Anderson, L. A., Kochtitzky, C. S., DeGroff, A. S., Devlin, H. M. et al. (2013). Seeking Best Practices: A Conceptual Framework for Planning and Improving Evidence-Based Practices. Preventing Chronic Disease, 10, Article ID: 1301867. [Google Scholar] [CrossRef] [PubMed]
[85] Sun, Y., & Sun, H. (2021). Green Innovation Strategy and Ambidextrous Green Innovation: The Mediating Effects of Green Supply Chain Integration. Sustainability, 13, Article 4876. [Google Scholar] [CrossRef]
[86] Sürücü, L., Maslakçi, A., & Sesen, H. (2022). Transformational Leadership, Job Performance, Self-Efficacy, and Leader Support: Testing a Moderated Mediation Model. Baltic Journal of Management, 17, 467-483. [Google Scholar] [CrossRef]
[87] Tarigan, Z. J. H., Mochtar, J., Basana, S. R., & Siagian, H. (2021). The Effect of Competency Management on Organizational Performance through Supply Chain Integration and Quality. Uncertain Supply Chain Management, 9, 283-294. [Google Scholar] [CrossRef]
[88] Tashakkori, A., Johnson, R. B., & Teddlie, C. (2020). Foundations of Mixed Methods Research: Integrating Quantitative and Qualitative Approaches in the Social and Behavioral Sciences. Sage publications.
[89] Turban, J. L., Almazan, A. N., Reisner, S. L., & Keuroghlian, A. S. (2022). [Google Scholar] [CrossRef]
[90] Walden, J., Jung, E. H., & Westerman, C. Y. K. (2017). Employee Communication, Job Engagement, and Organizational Commitment: A Study of Members of the Millennial Generation. Journal of Public Relations Research, 29, 73-89. [Google Scholar] [CrossRef]
[91] Wang, N., Zhang, J., Zhang, X., & Wang, W. (2022). How to Improve Green Innovation Performance: A Conditional Process Analysis. Sustainability, 14, Article 2938. [Google Scholar] [CrossRef]
[92] Yusliza, M. Y., Norazmi, N. A., Jabbour, C. J. C., Fernando, Y., Fawehinmi, O., & Seles, B. M. R. P. (2019). Top Management Commitment, Corporate Social Responsibility and Green Human Resource Management. Benchmarking: An International Journal, 26, 2051-2078. [Google Scholar] [CrossRef]

Copyright © 2026 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.