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Social exchange and social learning theories are widely used in many disciplines, but there is little research on the relationships between supervisor support and job performance in a developing context. Therefore this study aims to examine the links between supervisor support and job performance with the mediating role of psychological factors; empowerment and self-confidence.

Data for this study were collected from 364 employees working at Pakistan Telecommunication Company Limited. Partial least square structural equation modeling was used for the analysis.

The results revealed that supervisor support stimulates job performance. Empowerment and self-confidence both partially mediate the relationships between supervisor support and job performance.

This study adds to the current body of literature by providing insight into the influence of perceived supervisor support on job performance through the mediating role of psychological factors.

To the best of the authors’ knowledge, this is one of the very few studies exploring the relationships between supervisor support and job performance in developing contexts, particularly focusing on the mediating mechanisms of empowerment and self-confidence.

Given the increasing attention on ChatGPT in academia due to its advanced features and capabilities, this study aims to examine the links among Artificial intelligence (AI), knowledge sharing, ethics, academia and libraries in educational institutions. Moreover, this study also aims to provide a literature base while discussing recent trends in AI and ChatGPT technologies, highlighting their specific uses in institutions.

The paper involves a structured interview format where a human interviewer poses questions “Qs” in ChatGPT, related to knowledge sharing, ethics, academia and libraries. Moreover a literature base is also provide to discussed recent trends in AI and ChatGPT technologies, highlighting their specific uses in institutions.

The study find out that AI and ChatGPT technologies in educational institutions affect knowledge sharing, ethical consideration, academia and libraries. This study also highlights literature directions for the trends and proper use of the AI and ChatGPT among institutions, such as improving student-learning engagement.

This research contributes to the prior literature by offering an in-depth review of current uses and applications of AI and ChatGPT in educational institutions. It not only highlights key trends and innovations but also provides insights and guidelines for future research. This study also provides insights and guidelines for future research. Furthermore, the article emphasizes the potential impact of AI and ChatGPT on the future of education and technology.

The purpose of this study is to examine the long run impact of official development assistance (ODA) on Poverty levels in a sample of 33 least developed countries (LDCs) from 1991 to 2018.

This study employed second-generation panel econometric techniques like Westerlund (2007), Pedroni (2004) cointegration tests and the augmented mean group (Eberhardt and Bond, 2009); (Eberhardt and Teal, 2010) and fully modified ordinary least squares (Phillips and Hansen, 1990) estimations to ascertain the long-run nexus between the variables of interest.

Our findings revealed that ODA has a significant and positive impact on poverty expansion in LDCs. This indicates that ODA perpetuates poverty in LDCs in the long run. While gross domestic product (GDP) per capita and trade openness significantly contributed to reducing poverty levels. Our findings have several policy implications.

This paper sheds light on a panel of LDCs on which research on the ODA–poverty nexus is sparse in prevailing literature. Although studies have documented the impact of single country episodes on LDCs, research on the panel of LDCs remains largely unexplored. This is surprising given the heightened economic and social issues faced by these cross-sections. Additionally, a sustained downturn in ODA flows to LDCs and the commitment to meet SDG Goal 1 underscore the need for comprehensive analysis on LDCs. Hence, our study aims to address the critical gap in the prevailing literature and contribute to the field.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-05-2024-0390

This study aims to investigate the influence of chief executive officer (CEO) trustworthiness on firm investment efficiency and explores how this relationship varies in different contexts, including product market competition (PMC), institutional investors, media coverage, analyst monitoring and ownership structure.

The authors examined a sample of A-Share non-financial firms listed on the Shanghai and Shenzhen Stock Exchanges from 2005–2018 by using panel date regression techniques. The robustness of the findings is affirmed through alternative measures of investment efficiency and various econometric techniques. Further, various endogeneity tests are conducted to confirm that the findings are not affected by potential bias.

The authors find a significant positive effect of CEO trustworthiness on firms’ investment efficiency and exhibit that CEO trustworthiness mitigates the issue of underinvestment rather than overinvestment. Further, PMC strengthens the association between CEO trustworthiness and investment efficiency. The influence is more pronounced when institutional investors, media and analyst monitoring are low and in non state-owned firms. Likewise, financial reporting quality is found to be an underlying mechanism for the positive association between CEO trustworthiness and investment efficiency.

The reliance on a location-specific index of CEO trustworthiness may obscure its true nature, and caution is warranted when generalizing these results to other regions.

This study suggests that elevating a trustworthy CEO to the firm upper echelon can improve investment efficiency. Policymakers and investors should recognize and leverage the effect of CEO trustworthiness in firms, especially those with weaker governance structures.

This study enriches the literature about investment efficiency by introducing a novel determinant, CEO trustworthiness and establishes that it acts as an informal social institution that improves firms’ resource utilization in emerging economies with weak governing structures.

Nowadays, designing environmentally compatible buildings with acceptable performance in terms of cost, materials, and energy efficiency is considered crucial for developing sustainable cities. This research aims to identify and rank the most influential factors in the application of Building Information Modeling (BIM) systems in the smartification of green and sustainable buildings.

The present research is applied and descriptive. In this study, we identified the most influential factors in the application of Building Information Modeling (BIM) systems through library studies and expert opinions. Data were collected using a questionnaire, and a combination of the one-sample t-test method with a 95% confidence level and the fuzzy VIKOR method was employed for analysis.

The results show that the most influential factors in the application of Building Information Modeling (BIM) systems in the Smartification of green and sustainable buildings, in order, are: “Energy saving and consumption reduction,” “Increased productivity and efficiency,” “Life-cycle assessment (LCA),” “Eco-friendly design,” “Integration with IoT and other technologies.”

In this study, while addressing the intersection of BIM technology, green building principles, and smart building objectives to optimize the performance of buildings during their life cycle, the most influential factors in the use of this system were ranked based on the criteria of “impact level,” “importance level,” and “availability of necessary tools” for implementation in Kerman. Moreover, solutions for more effectively utilizing this system in the smartification of green and intelligent buildings were proposed.

This study aims to examine the mediating effect of psychological safety on the relationship between socially responsible leadership and job satisfaction.

A cross-sectional design was used to obtain quantitative data from staff of 214 public universities in Uganda. The authors used Mplus to conduct structural equation modeling (SEM) for this study. Questionnaires were used to collect data.

Socially responsible leadership and psychological safety have a significant positive direct effect on job satisfaction. Further psychological safety significantly mediates the relationship between socially responsible leadership and job satisfaction.

Psychological safety and socially responsible leadership have been found to be important factors in determining how satisfied employees are at work. Furthermore, psychological safety is essential for creating a supportive workplace culture where staff members may freely voice their opinions without worrying about unfavorable consequences. Having a sense of security at work may boost job happiness. It is crucial to remember that there may be a complex link between these elements and job happiness, one that is influenced by a number of other variables including organizational culture, personal traits of employees and the unique circumstances of the Ugandan workplace.

This study contributes theoretically to the examination on the relationship between socially responsible leadership and job satisfaction. This study examined the role of psychological safety as a mediator in the relationship between socially responsible leadership and job satisfaction. Moreover, it has significant effects on the development of literature about socially responsible leadership, psychological safety and job satisfaction in Ugandan public universities.

This study aims to explore the impact of cultural practices on consumers’ buying behavior in sales promotional activities toward the fashion clothing brands based on the Theory of Black-Box Model under the conditions of COVID-19 at Pakistan.

The study has collected data through questionnaire-based survey from 600 consumers of fashion clothing brands using convenience sampling technique in Pakistan and analyzed through PLS-SEM to find results.

The results confirmed that cultural practices and sales promotional activities have positive significant relationship with the consumers’ buying behavior during the celebration of events, also under the conditions of COVID-19. The study also found that ethnocentrism and xenocentrism are positively associated with cultural practices while social factors, physical factors, product innovation and marketing innovation with sales promotional activities.

The outcomes provide interesting insights about consumers’ assessment toward the sale’s promotional activities and cultural practices of fashion clothing brands during the celebration of events and guide the marketing practitioners to develop the customers edifying and environment-oriented business strategies to boost up the buying behavior in crisis situations.

Although prior research has widely investigated the cultural practices, sales promotion and consumers’ buying behavior in various settings, but to the best of the authors’ knowledge, this is the first study in these domains.

This paper aims to enhance the stability and control of twin rotor multi-input multi-output system (TRMS) helicopters by introducing a novel approach that utilizes a multi-objective genetic algorithm (MOGA) for optimizing proportional, integral, derivative (PID) controllers in simultaneous pitch and yaw motions.

The TRMS, a common prototype for helicopter motion studies, is introduced, and a PID controller is designed for pitch and yaw stabilization. The gains of the PID controller are optimized using a MOGA, a technique not previously proposed for TRMS in the literature.

While various controllers have been explored in literature for TRMS stabilization, a MOGA-optimized PID controller for TRMS has not been proposed before. Simultaneous optimization of both pitch and yaw motions using two PID controllers is expected to yield improved robustness.

The study focuses on simulations, and experimental validation is not conducted. The MOGA is introduced as an optimization technique, and future studies may explore its application in experimental settings.

This study introduces a novel approach by utilizing a MOGA to optimize PID controller gains for TRMS. Simultaneous optimization of pitch and yaw motions aims to enhance robustness, providing a unique contribution to the field of helicopter control.

This study examines the influence of quality culture (QC) on university performance (UP) within the higher education (HE) context of Saudi Arabia, exploring the mediating roles of transformational (TFL) and transactional leadership (TNL) styles.

The study utilizes a cross-sectional survey approach, collecting data through online surveys from administrators representing public and private universities in Saudi Arabia. Data analysis is conducted using PLS-SEM.

The findings indicate that QC exerts a notable direct influence on UP, along with an indirect effect mediated by TFL and TNL. Additionally, the influences of TFL and TNL on UP are statistically significant. However, the effect of TNL on UP and its role as a mediator in the QC-UP relationship demonstrate partial significance.

This study enriches the theoretical comprehension of quality assurance in HE by incorporating QC as a dynamic capability within Dynamic Capability Theory and TL and TFL as valuable resources within Resource-Based View theory. However, limitations such as a cross-sectional design and reliance on input solely from university administrators must be acknowledged.

The study offers practical insights for policymakers, administrators, and quality managers, emphasizing the economic benefits of robust QC in universities. It highlights QC's impact on policy, curriculum development, and public trust, advocating tailored strategies to improve efficiency and collaboration, crucial for overcoming bureaucratic barriers, especially in public universities.

The originality of this study lies in introducing TFL and TNL as mediators between QC and UP within a university setting.

The current environment is unhelpful to female entrepreneurs, and they need to overcome numerous barriers when starting their own businesses. In this study, the researchers investigated the significant barriers that Pakistani female entrepreneurs require to overcome in this respect.

In this study, the researchers used a quantitative study and they used a questionnaire to survey the respondents and collect cross-sectional data. The researchers targeted female students who were undertaking bachelor’s and master’s degree programs in different Pakistani public and private sector universities. Accordingly, the researchers based this study’s findings on the usable samples received from 498 Pakistani female students.

The researchers used a structural equation model (SEM) in this study and its findings highlight that aversion to risk (ATR) has an insignificant impact on entrepreneurial inclinations (EI). In addition, fear of failure (FoF), lack of resources (LoR), aversion to hard work and stress (ASH) and the lack of social networking (LSN) have negative and insignificant effects on EI. The ATR factor has an insignificant effect on entrepreneurial success (ES), whereas FoF, LoR, ASH and LSN are negative and insignificant predictors of Pakistani female students’ ES.

This study’s findings may help Pakistani women to overcome the barriers to ES. In this respect, the researchers recommend that the Pakistan Government and policymakers develop significant strategies to provide the conducive business environment and to financially support Pakistani women to start their own businesses. Furthermore, this study’s findings contribute greatly to the vast amount of current literature and help to overcome the entrepreneurial conditions and barriers that potential entrepreneurs from advanced and developing countries experience frequently.

This study’s findings provide empirical evidence of EI and ES in Pakistan.