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This research aims to understand how competencies for supply chain professionals are developed and how they can affect the manager's performance, especially the manager's resilience in times of significant supply chain disruptions.

A research model was developed based on a comprehensive literature survey in the area of individual competencies grounded in the knowledge-based view of the firm. We tested our research model using a quantitative, survey-based study with a sample of 175 Pakistani supply chain managers. The hypotheses were tested using structural equation modelling (SEM).

The analysis identified corporate training and knowledge sharing as the main antecedents of supply chain professional's competencies. It also showed that these competencies result in higher performance in the form manager's resilience and job performance.

This study provides a valuable framework for organisations to focus on skill-developing training and promoting a knowledge-sharing culture among employees to achieve desired performance levels.

This study is unique as no prior research studied such a comprehensive model of antecedents and consequences of supply chain professionals' competencies.

Organisations encourage green creativity among their employees to mitigate pollution and achieve sustainable growth. Green inclusive leadership practices have a key role in influencing employees’ green attitudes and environmental efficiency. Thus, the purpose of this study is to investigate how green inclusive leadership influences employees’ green creativity. It also aims to analyse the intermediating mechanism of green human capital and employee voice between the relationship of green inclusive leadership and green creativity.

Data was collected through an in-person administered questionnaire-based survey from 312 employees of the manufacturing industry of Pakistan. SPSS PROCESS macro was used for hypothesis testing in the present study.

The findings depict that the perception of green inclusive leadership positively influences employees’ green creativity. Moreover, the findings demonstrate that green human capital and employee voice play substantial intervening roles among the associations investigated.

This research study is novel because it is one of the scarce research studies to examine green inclusive leadership and employees’ green creativity with the underlying mechanism of green human capital and employee voice in an eastern context.

Because of the shortage of energy, the development of green and reliable energy is particularly important. As a green and clean energy, wind power is widely used. As the core component of wind power generation, it is particularly important to choose generators with high reliability. Switched reluctance machine is widely used as generators because of its strong fault tolerance and high reliability. Therefore, this paper aims to propose a power converter and its control strategy to improve the efficiency of switched reluctance generators.

In this paper, a full-bridge power converter (FBPC) instead of the asymmetric half-bridge power converter (AHBPC) is adopted to drive the switched reluctance generator (SRG) system. Compare the FBPC with the AHBPC, the FBPC has several advantages including low cost and modularization, and operation process of SRG winding current direction is variable.

The results show that the SRG system can keep smooth operation by the FBPC with relatively high efficiency.

The FBPC is suitable to drive the SRG system. Meanwhile, this paper introduces two excitation modes of the FBPC as three-phase three-beat mode and six-phase six-beat mode. When the six-phase six-beat control strategy is adopted, the dead band time of the converter can be avoided. At the same time, the SRG has higher efficiency.

This study aims to model the important flow response quantities over a shrinking wedge with the help of response surface methodology (RSM) and an artificial neural network (ANN). An ANN simulation for optimal thermal transport of incompressible viscous fluid under the impact of the magnetic effect (MHD) over a shrinking wedge with sensitivity analysis and optimization with RSM has yet not been investigated. This effort is devoted to filling the gap in existing literature.

A statistical experimental design is a setup with RSM using a central composite design (CCD). This setup involves the combination of values of input parameters such as porosity, shrinking and magnetic effect. The responses of skin friction coefficient and Nusselt number are required against each parameter combination of the experimental design, which is computed by solving the simplified form of the governing equations using bvp4c (a built-in technique in MATLAB). An empirical model for Cf_x and Nu_x using RSM and ANN adopting the Levenberg–Marquardt algorithm based on trained neural networks (LMA-TNN) is attained. The empirical model for skin friction coefficient and Nusselt number using RSM has 99.96% and 99.99% coefficients of determination, respectively.

The values of these matrices show the goodness of fit for these quantities. The authors compared the results obtained from bvp4c, RSM and ANN and found them all to be in good agreement. A sensitivity analysis is performed, which shows that Cf_x as well as Nu_x are most affected by porosity. However, they are least affected by magnetic parameters.

This study aims to simulate ANN and sensitivity analysis for optimal thermal transport of magnetic viscous fluid over shrinking wedge.

This study aims to present a unique hybrid metaheuristic approach to solving the nonlinear analysis of hall currents and electric double layer (EDL) effects in multiphase wavy flow by merging the firefly algorithm (FA) and the water cycle algorithm (WCA).

Nonlinear Hall currents and EDL effects in multiphase wavy flow are originally described by partial differential equations, which are then translated into an ordinary differential equation model. The hybrid FA-WCA technique is used to take on the optimization challenge and find the best possible design weights for artificial neural networks. The fitness function is efficiently optimized by this hybrid approach, allowing the optimal design weights to be determined.

The proposed strategy is shown to be effective by taking into account multiple variables to arrive at a single answer. The numerical results obtained from the proposed method exhibit good agreement with the reference solution within finite intervals, showcasing the accuracy of the approach used in this study. Furthermore, a comparison is made between the presented results and the reference numerical solutions of the Hall Currents and electroosmotic effects in multiphase wavy flow problem.

This comparative analysis includes various performance indices, providing a statistical assessment of the precision, efficiency and reliability of the proposed approach. Moreover, to the best of the authors’ knowledge, this is a new work which has not been explored in existing literature and will add new directions to the field of fluid flows to predict most accurate results.

This study aims to explore the determinants of environmental knowledge sharing behaviour among accounting educators through the lens of an extended theory of planned behaviour (TPB).

A total of 95 accounting educators responded to a questionnaire survey. The data comprising information on attitude, subjective norm, perceived behavioural control, possession of environmental knowledge and locus of control, as exogenous latent variables and intention to share and environmental knowledge sharing behaviour as endogenous latent variables, were analysed using the SmartPLS modelling technique. Besides the survey, interviews were conducted for triangulation purpose.

Except for subjective norm, all hypotheses are supported. The findings from the interviews reveal that environmental knowledge sharing activities have put educators in a peculiar position in terms of sharing environmental knowledge, as carrying out environmental activities has not been taken seriously and also seen as not the norm among the faculty members.

This study focuses on accounting educators from five Malaysian public universities and deepens the understanding of their behaviour in sharing their environmental knowledge.

This study provides findings that can be useful for higher education institutions to strategize themselves in delivering environmental sustainability awareness in campus, which may enhance their efforts towards achieving sustainable development.

This study provides findings that there is a need to inculcate environmental knowledge sharing among educators. Such knowledge sharing may generate good environmental norms, which may result in better environmental awareness.

This paper contributes to the literature by exploring the main determinants of accounting educators’ environmental knowledge sharing behaviour and extending the TPB by considering two additional variables.

This study aims to examine why tax reforms fail and explores how tax collection can be improved within a developing country context.

Data comprise 28 semi-structured interviews with taxpayers, tax experts and tax authority personnel based in Pakistan. The results are analysed using a combined lens of taxpayer trust and tax agencies’ capabilities.

Tax reforms failed to build taxpayers’ trust and tax agencies’ capabilities. Building trust is challenging and demands extensive ongoing engagement with taxpayers while yielding gradual permanent results. This requires enhancing confidence in government; educating taxpayers; removing complexities; introducing transparency and accountability in tax agencies’ operations and the tax system; promoting procedural and distributive justice; and reversing perceptions of corruption through reconciliation and stakeholder inclusivity. Developing tax agencies’ capabilities requires upgrading outdated technologies, systems and processes; implementing governance and organisational reforms; introducing an oversight board; and recruiting and training skilled professionals.

The findings can assist policymakers and tax collection authorities in understanding why tax reforms fail and identifying potential solutions.

This study contributes to the emerging literature by exploring tax administration failures in developing countries. It contributes to the literature by engaging stakeholders to understand why reforms fail and potential solutions to stimulate tax revenues.

This research examined the effects of information literacy on lifelong learning, creativity, and work performance among journalists in Pakistan.

Survey research design was applied to conduct this research. The participants were recruited through a stratified convenient sampling process from the press clubs of four provinces (e.g. Punjab, Sindh, Khyber Pakhtunkhwa, and Baluchistan) and the federal capital Islamabad with the consent of relevant authorities for data collection. An online questionnaire was distributed among these journalists and a total of 1,089 responses were received. The data were analyzed by applying descriptive and inferential statistics in SPSS.

The results revealed that these journalists perceived themselves as information literate. The information literacy (IL) skills of journalists appeared to have a direct and positive effect on their lifelong learning, creativity, and work performance. In other words, the lifelong learning, creativity, and work performance of journalists increase as their levels of IL skills increase.

These results generated useful insights for academicians and organizations about the importance of IL in the workplace and its influence on organizational effectiveness and performance in gaining a sustainable competitive advantage. This knowledge might be crucial for media employers to initiate training programs for journalists to impart IL education.

This research would be a worthwhile contribution to the existing research on workplace IL, particularly in the context of journalists' workplace as no such comprehensive study using these variables appeared so far.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-06-2022-0345.

The purpose of this study is to review the role of knowledge-sharing and its association with the Theory of Planned Behavior (TPB). TPB is the most used theory in understanding knowledge-sharing behavior in many contexts.

Based on the bibliometric approach, this study extracted and analyzed 229 journal articles on the Web of Science. In addition, two analyses (bibliographic coupling and co-word) were performed to provide science mapping in presenting the knowledge structure on the present and future research direction on knowledge-sharing and TPB.

The findings of this study suggest that two stand-out clusters are determinants and antecedents of knowledge-sharing behavior based on TPB and the role of the virtual platform and social media in facilitating knowledge-sharing among users.

This study will benefit researchers and scholars in studying individual behavioral traits underpinning TPB in achieving organizational excellence.

This study extends the findings of the previous review because of their limitations on methods. This study confirms the determinants of knowledge-sharing intention and behavior. However, this study suggests integrating TPB with other theories to provide more insights into knowledge-sharing behavior and use online and technology-based platforms to facilitate knowledge-sharing behavior.

Underpinned by social cognitive and ecological systems theories, this research explored higher education students' entrepreneurial intentions (EI). It begins by exploring how various factors, including entrepreneurship education (EE), entrepreneurial motivation (EM) and entrepreneurial environment (EENV), contribute to the evolution of EI of students. Second, it examines the role of EM as an underlying mechanism between EE-EI and EENV-EI. Finally, this research explores how EENV moderates the EM and EI relationship.

The data were gathered from 366 college students pursuing higher education around India using a convenience sample technique. Partial least square structural equation modeling (PLS-SEM) was applied to SmartPLSv.3.3.9 software to analyze the data.

A direct relationship was found between EE, EENV and EM with EI. Moreover, this research found a partial mediation of EM between EENV-EI and EE-EI paths. Also, the results show that EENV strengthens the link between EM and EI links.

This study offers valuable insights that can guide government agencies and higher education institutions (HEIs) in reshaping the landscape of entrepreneurial education at the university level. This transformation encompasses the integration of work-based learning experiences as a conduit for equipping students with tangible skills and exposing them to the realities of entrepreneurship in the real world.

This research considerably contributes to the current literature on entrepreneurship at HEIs by merging social cognitive and ecological systems theories. This research is a pioneering input to examine the underlying mechanism of entrepreneurial motivation between EENV, EE and EI.