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This study examines direct effect of leader-member exchange (LMEX) and learning orientation (LEOR) on workplace innovation (WPIN) and indirect effect between underline relationships in presence of mediators such as creative self-efficacy (CRSE), thrive at work (THAW), task interdependence (TAIN) work significance (WOSI) and creative performance (CRPE). Moreover, this study investigates the serial mediating effect of CRSE, WOSI, THAW, TAIN and CRPE between LMEX, LEOR and WPIN in entrepreneurial small and medium-sized enterprises (SMEs).

This study collected a total of 286 usable responses from entrepreneurial SMEs in three major business cities in Pakistan. In this cross-sectional study, data were gathered through self-administered surveys using purposive sampling approach and tested hypotheses using structural equation modeling (SEM).

The findings suggested insignificant direct effect of LMEX and LEOR on WPIN in the presence of mediators. Interestingly, CRSE, THAW, TAIN and CRPE were identified as significant mediators between LMEX, LEOR and WPIN. However, WOSI was found to be an insignificant mediator in the observed context. Moreover, the results revealed significant serial mediating effect of CRSE and CRPE with work context elements such as THAW and TAIN between LMEX, LEOR and WPIN, while serial mediating effect of WOSI in underline relationships found insignificant.

The study emphasizes that chief executive officers (CEOs) of entrepreneurial SMEs should prioritize individual, team and organizational factors to improve WPIN for competitiveness. Entrepreneurial management should focus on building strong relationships with employees to foster creativity and create a learning-oriented work environment that improves motivation and collaboration, thereby boosting employees' CRSE and CRPE, leading to enhanced WPIN.

This research offered a novel research framework and identified critical mediators and serial mediators between LMEX, LEOR and WPIN for entrepreneurial SMEs in developing countries, a domain grossly underrepresented in the literature.

The aim of this research is to examine the moderating impact of financial development (FD) on the relationship between remittance inflows and economic growth in 82 developing countries.

This research utilized dynamic panel data estimation, specifically the system generalized method of moment (GMM), on a panel data set comprised of 82 developing economies from 2000 to 2022.

The findings indicate that the interaction of remittances and FD proxies by size and depth creates a substitute effect to reduce economic growth. In contrast, the interaction of remittances and FD proxy by efficiency creates complementarity by attracting remittances that accelerate economic growth. The robustness of the findings is further checked across upper- and lower-middle-income countries, respectively.

This study assists policymakers in attracting remittance inflows through FD and spending them in sustainable, productive ways to boost economic growth in developing economies.

The policymakers should have interactive remittances–FD policies to improve not only economic growth but also the social welfare of the developing economies.

This work contributes significantly to the underexplored literature on the moderating impact of FD on the relationship between remittance inflows and economic growth in the developing countries context. This research utilizes maximum proxies of FD that not only examine the remittance but also investigate how FD various proxies shape the relationship between remittances and economic growth.

The purpose of this study was to determine how environmentally specific transformational leadership (ETFL), green training (GT) and psychological green climate (PGC) affect environmental passion (EP) of employees which leads to pro-environmental behaviors (PEBs).

The context of the study was set in textile industry of Pakistan which holds a promising future in the international markets as an emerging export-based industry. Using purposive sampling technique, cross-sectional self-report data were collected from the employees of textile exporting firms (n = 239) of Pakistan. Hypotheses were tested using PLS-SEM.

The findings revealed that ETFL and PGC act as important predictors of EP, whereas GT plays no role in influencing EP. EP predicts green behavioral intention (GBI) of employees, in turn, GBI predicts employees' PEBs. Further, mediation analyses revealed that EP and GBI sequentially mediated the link between PGC and PEBs.

The present study is not free from its limitations. First, the study adopted cross-sectional design that prevents the causal inferences which the researcher can make from the population. Second, the present study adopted purposive sampling technique which is a non-probability sampling technique. Third, the constructs of this study were assessed with self-report measures which are associated with social desirability bias (Podsakoff and Organ, 1986) or common-method variance (Podsakoff et al., 2003). Hence, this research suggests on the future direction of research based on these limitations.

As per the results of this study, it is also suggested that managers may focus more on the overall organizational and psychological climate rather than on leadership styles alone. While conducting training, the leaders must pay close attention to training objectives to ensure that they do not lead to counterproductive behaviors.

This research adds to the literature in the area of PEBs at micro-level by focusing on how and why employees engage in PEBs.

Research on the relationship between high-performance workplace practices (HPWPs) and organizational performance has largely focussed on western settings, limiting the knowledge of how these systems influence performance in other countries, including Pakistan. Universalistic assumptions underpin the HPWP paradigm; to examine the validity of these assumptions, the purpose of this paper is to study the links between HPWP and performance in Pakistan, a country with different cultural norms and institutional settings to those in which most research has been conducted.

The authors draw on a unique survey of 392 establishment managers in the banking, pharmaceutical and information technology sectors. The authors include managers of foreign-owned multinational subsidiaries and domestic firms to ensure the sample represents firms in Pakistan.

The authors find that some individual HPWPs (recruitment and training) are associated in a statistically significant way with lower labour turnover, higher productivity and higher financial performance. Employee involvement is associated with lower labour turnover and higher labour productivity. Compensation is associated with higher financial performance. None is linked to higher labour turnover, lower productivity or lower financial performance in a statistically significant way. Performance appraisal was not statistically significantly associated with any of the three outcome variables.

The results provide some relatively strong support for universalistic assumptions, but also highlight the need for future research to examine the variable links of some HPWPs and the lack of any association for the performance appraisal measure.

This study examines the unique effects of Industry 4.0 technologies and servitization on firm performance and explores whether servitization mediates the Industry 4.0 and firm-performance relationship.

Data were collected from 76 manufacturing firms in Pakistan using an online survey questionnaire. The partial least squares structural equation modeling (PLS-SEM) method was used to test the proposed hypotheses.

Analysis in SmartPLS revealed significant positive effects of Industry 4.0 and servitization on firm performance and showed that servitization acts as a mediator in the relationship between Industry 4.0 and firm performance.

This study offers valuable insights for manufacturing firms, particularly in the context of Pakistan, that firms can improve their performance by adopting Industry 4.0 technologies and implementing servitization strategies.

Drawing on the practice-based view of firm, this study adds value to the body of knowledge that firms can improve their performance by adopting widely known and transferrable technological and organizational practices like Industry 4.0 and servitization.

The complexity of projects has become a serious issue and obstacle in their successful completion. In order to overcome these complexities, it has become imperative to identify the relevant management competencies of project managers. The purpose of this paper is to address the problem of cost, time and scope in engineering infrastructure projects due to their complexities through management competencies.

In the first phase of the study, 32 experts were interviewed through semi-structured pre-tested questionnaire. In this phase, essential elements of complexities were identified initially. This was followed by finding required dimensions of competencies to counter these complexities and to acquire improved performance. In the final stage, required levels of competencies for specific elements of complexity were identified. In the second phase, 85 “project managers” were also approached to get feedback about their recently completed public sector engineering infrastructure projects in Pakistan.

The study identified additional dimensions, i.e. honesty, enthusiasm and dedication, in the case of competencies and adverse law and order situation, political instability, land issues, energy crisis and weak authorization of project managers in the case of complexities. Leadership, management skill, communication skill, effectiveness and result orientation were identified as top quality traits required. The study concluded that there is a significant impact of management competencies and complexities on project performance.

The study contributes to a better understanding of how to improve performance in complex engineering infrastructure projects through adopting management competencies. It also empirically illustrates the relations among project management competencies, complexities and project performance. Although the research is grounded on public sector infrastructure projects, its findings may also be helpful for practices in project management of other sectors.

This study aims to examine the unique and interaction effects of farmers’ pesticide safety knowledge and their past pesticide-related health problems experienced in the adoption of protective pesticide behaviors. The study further aims to explore whether attitude toward pesticide use mediate the relationship between pesticide safety knowledge and protective behaviors.

Data were collected from 385 Pakistani fruit and vegetable farmers using a cross-sectional survey design and were analyzed using Partial least squares structural equation modeling (PLS-SEM).

The empirical analysis revealed that pesticide safety knowledge is positively associated with protective behaviors and farmers’ attitude toward pesticide use partially mediates this relationship. The findings further show that past health problems positively influence the adoption of protective pesticide behaviors, which is amplified when pesticide safety knowledge is high.

This study findings have significant implications for policy interventions and agricultural extension programs aimed at promoting safer pesticide use.

This research contributes to the previous literature by presenting an integrative framework of the knowledge-attitude-practice model and protection motivation theory to explore the influence of farmers’ pesticide safety knowledge, past pesticide-related health experiences and attitude toward pesticide use on their adoption of protective pesticide behaviors.

This research focuses on the controlling irreversibilities in a radiative, chemically reactive electromagnetohydrodynamics (EMHD) flow of a nanofluid toward a stagnation point. Key considerations include the presence of Ohmic dissipation, linear thermal radiation, second-order chemical reaction with the multiple slips. With these factors, this study aims to provide insights for practical applications where thermal management and energy efficiency are paramount.

Lie group transformation is used to revert the leading partial differential equations into nonlinear ODE form. Hence, the solutions are attained analytically through differential transformation method-Padé and numerically using the Runge–Kutta–Fehlberg method with shooting procedure, to ensure the precise and reliable determination of the solution. This dual approach highlights the robustness and versatility of the methods.

The system’s entropy generation is enhanced by incrementing the magnetic field parameter (M), while the electric field (E) and velocity slip parameters (ξ) control its growth. Mass transportation irreversibility and the Bejan number (Be) are significantly increased by the chemical reaction rate (C_r). In addition, there is a boost in the rate of heat transportation by 3.66% while 0.05⩽ξ⩽0.2; meanwhile for 0.2⩽ξ⩽1.1, the rate of mass transportation gets enhanced by 12.87%.

This paper presents a novel approach to analyzing the entropy optimization in a radiative, chemically reactive EMHD nanofluid flow near a stagnation point. Moreover, this research represents a significant advancement in the application of analytical techniques, complemented by numerical approaches to study boundary layer equations.

The purpose of this paper is to present an exploration of multiple slips and temperature dependent thermal conductivity effects on the flow of nano Williamson fluid over a slendering stretching plate in the presence of Joule and viscous heating aspects. The effectiveness of nanoparticles is deliberated by considering Brownian moment and thermophoresis slip mechanisms. The effects of magnetism and radiative heat are also deployed.

The governing partial differential equations are non-dimensionalized and reduced to multi-degree ordinary differential equations via suitable similarity variables. The subsequent non-linear problem treated for numerical results. To measure the amount of increase/decrease in skin friction coefficient, Nusselt number and Sherwood number, the slope of linear regression line through the data points are calculated. Statistical approach is implemented to analyze the heat transfer rate.

The results show that temperature distribution across the flow decreases with thermal conductivity parameter. The maximum friction factor is ascertained at stronger magnetic field.

In the current paper, the magneto-nano Williamson fluid flow inspired by a stretching sheet of variable thickness is examined numerically. The rationale of the present study is to generalize the studies of Mebarek-Oudina and Makinde (2018) and Williamson (1929).

The purpose of this paper is to address the entropy analysis of the 3D flow of Maxwell nanofluid containing gyrotactic microorganism in the presence of homogeneous–heterogeneous reactions with improved heat conduction and mass diffusion models over a stretched surface. Improved models are supported out by utilizing Cattaneo–Christov heat flux and generalized Fick’s law, respectively.

Governing equations which present the given flow phenomenon are modeled in the form of PDEs by applying boundary layer analysis and then suitable makeovers are engaged to transfigure prevailing partial differential equations into a set of ordinary differential equations. Transformed equations are handled via optimal homotopy analysis process in computational tool Mathematica and also a special case of already published work is substantiated and found to be in excellent settlement.

The bearing of innumerable convoluted physical parameters on velocity, temperature, concentration, reaction rate, the concentration of motile microorganism and entropy generation are presented and deliberated through graphs. Moreover, the convergence of the homotopic solution is presented in tabular form which confirms the reliability of the proposed scheme. It is perceived that mounting values of the magnetic parameter and Brinkman number boosts the irreversibility analysis and Bejan number diminishes for these parameters. Moreover, the growing values of Prandtl and Schmidt numbers reduce the temperature and concentration fields, respectively.

The work contained in this paper has applications in a different industry.

The work contained in this paper is original work and it is good for the researcher in the field of applied mathematics.