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This study intends to explore the influence of emotional intelligence on employee self-efficacy in Pakistan's telecom industry. Besides, it explores the mediating effect of emotional labor (surface acting and deep acting) between them. This study also tests the relationship between emotional labor (surface acting and deep acting) and self-efficacy in the customer care of Pakistan's telecom division.

The study leads forward with a positivist approach to obtain data in two different waves as a time lag study from the big five telecom companies operating in Pakistan. The data was collected from 270 employees working in Customer Services in the Telecom sector.

The results reveal that there exists a positive relationship between emotional intelligence and self-efficacy in customer care employees in Pakistan's telecommunication division sector. Moreover, emotional labor (deep acting) partially mediates the relationship between emotional intelligence and self-efficacy, and surface acting could not mediate the relationship among the employees of customer care in Pakistan's telecom division.

Management of emotions at the workplace has been an immensely vital area in managing the performance of employees, especially in customer-centric jobs, where dealing with customers is the prime focus and achieving customer satisfaction is the utmost outcome. There is limited evidence of the relationship between emotional intelligence and self-efficacy specifically in the customer care of the Telecom sector.

This study compares the profitability of sharia-compliant firms (SCFs) and non-sharia-compliant firms (NSCFs) and explores the causal links among board of directors (BODs) characteristics (size, gender, meeting frequency, tenure, turnover and compensation), sharia compliance, capital structure and profitability. Specifically, sharia compliance and capital structure serve as moderators.

A total of 72 SCFs and 65 NSCFs were investigated during 2011–2019, resulting in 1,644 data. A t-test was used to compare profitability, and causal relationships were explored through panel data regression.

SCFs outperform NSCFs in profitability in 24 of 36 t-tests. Surprisingly, 87 out of 864 instances of sharia violations were found in SCFs. Despite purifying sharia-compliant stocks from violations, the board negatively affected sharia compliance. Furthermore, sharia compliance contradicts the board’s tendency to increase profitability, implying a ceremonial screening, which reveals the board’s reluctance to incorporate sharia compliance into their management style. In contrast, boards in NSCFs rely more on their internal strengths and capacities to influence profitability, as they understand the adverse impact of debt.

The findings of this study are beneficial for evaluating Islamic loopholes for both boards that are apathetic to sharia compliance and regulators who are not transparent in Islamic financial screening.

Academic literature concentrates on comparing Islamic banks with conventional banks, while the comparison of corporate governance and management styles in SCF vs. NSCF is minimal. Additionally, a novel measurement, the Stapel scale, is proposed for finding the purity of Islamic stocks, which is most suitable when regulators and firms conduct Islamic loopholes.

Organizations are full of contradictions and leadership dilemmas. Managers often face challenges such as selecting between two contradicting options such that which one is more important can hardly be judged. To manage contradicting dynamics, today’s managers can adopt the paradoxical leadership approach. We build a theoretical model to investigate the influence of paradoxical leadership on multi-dimensional project agility (proactivity, adaptability, and resilience), and multi-dimensional project success (management, investment, and ownership success).

Drawing on survey-based data from the China–Pakistan Economic Corridor (CPEC) megaproject (N = 209), we performed covariance-based structural equation modeling to test the conceptual model.

The findings show that (1) paradoxical leadership has a significant positive impact on megaproject success, (2) paradoxical leadership has a significant positive influence on project agility, (3) project agility has a significant positive effect on megaproject success, and (4) project agility has a significant effect that mediates the link between paradoxical leadership and megaproject success. This research provides a theoretical and practical comprehension of paradoxical leadership with a new perspective on megaprojects.

This study provides an extension of the existing studies on paradoxical leadership and identifies the role of contradicting dynamics and their impact on multiple facets of megaproject success. It not only clarifies the relationship between paradoxical leadership and megaproject success, but also identifies the mediating role of project agility that can play an effective role in mobilizing success in megaprojects.

This study aims to describe and analyze the factors associated with dependence and motivation to stop smoking in patients with schizophrenia.

This descriptive, analytical study was conducted between October 2021 and April 2023 at two psychiatric centers in Morocco. The study population consisted of 274 smokers diagnosed with schizophrenia, who were examined just before their discharge. In addition to sociodemographic and economic data, tobacco use status and clinical information, the authors assessed dependence with Fagerström Test for Nicotine Dependence (FTND), motivation to quit and depression.

Around three-quarters (74%) smoked more than 10 cigarettes a day, with a mean FTND score of 5.61 (±1.94). Dependence was reported in 76% of smokers. More than two-thirds (69%) had made at least one attempt to quit, and almost all participants (99%) had done so without medical assistance. Nicotine dependence was associated with income, illness duration, motivation to stop smoking and depression. In addition, lower income, level of education, number of hospitalizations, attempts to stop smoking and nicotine dependence were associated with motivation to quit tobacco use. However, depression was not associated with motivation to stop smoking.

The present study has the following limitations: the cross-sectional nature of the study does not allow for temporal evaluation, the sampling technique does not allow for generalization of the results, participants’ responses may be subjective despite the use of validated psychometric scales.

The results of this research have important public health implications: Duration of schizophrenia progression was associated with nicotine dependence – highlighting the need to offer help as soon as possible after diagnosis, as a preventative measure; Calgary depression score was a factor associated with increased dependence – suggesting that screening and additional help for people with co-existing mental health problems could be important. Similarly, the onset of depression after the development of schizophrenia should be monitored.

The authors have further searched the literature and have not found similar studies. The absence of such studies justifies the significance of this research, and its results will be valuable for publication to guide researchers in the treatment of tobacco dependence and, furthermore, to guide the preventive efforts of health authorities in Morocco. Additionally, to the best of the authors’ knowledge, this study is the first of its kind in Morocco and among the few in North Africa.

Today, many industries are implementing creative approaches in response to increasing environmental awareness. It is of great importance to answer the question of whether the military sector, one of the most important sectors, can support renewable energy (RE) adaptation. This study aims to examine how military spending affects the supply of RE in 27 Organization for Economic Cooperation and Development (OECD) nations as well as the regulatory function of factors such as innovation, international trade and oil prices between 1990 and 2021.

The study examines the effects of military spending, income, green innovation, international trade, oil prices and the human development index on the supply of RE using various econometric approaches, which are the cointegration test, moments quantile regression and robustness test.

The findings demonstrate that all factors, excluding military spending, quite likely affect the expansion of the renewable supply. Military spending negatively influences the RE supply; specifically, a 1% increase in military spending results in a 0.88 reduction in the renewable supply. In addition, whereas income elasticity, trade and human development index in OECD nations are higher in the last quantiles of the regression than in the first quantiles, the influence of military spending and innovation on renewable supply is about the same in all quantiles.

OECD nations must consider the practical implications, which are essential to assess and update the military spending of OECD countries from a green energy perspective to transition to clean energy. Based on the study’s overall findings, the OECD countries should incorporate the advantages of innovation, economic growth and international trade into their clean energy transition strategies to lessen the impact of military spending on renewables.

The study aims to fill a gap in the literature regarding the role of military expenditures in the RE development of an OECD country. In addition, the results of the methodological analysis can be used to guide policymakers on how military spending should be in the field of RE.

Research on training and/or L&D effectiveness is predominantly conducted in a traditional L&D context. Little research is conducted on training and/or L&D in the context of artificial intelligence (AI)-based learning. The present study aims to investigate the relationship between the adoption of AI-based learning systems and learners’ behavior. Drawing from the theory of planned behavior, the research examines the impact of attitude (ATT), subjective norm (SN) and perceived behavioral control (PBC) as AI-based learning intention (ALI) factors relate to changes in learners' behavior. Additionally, inspired by the self-determination theory by Deci and Ryan, the study further examines the mediating role of learner engagement between ALI and behavioral change.

Following a theoretical framework and using a systematic literature review method, the survey research has been planned by considering a sample from Indian industries. The collected data have been analyzed using SPSS-AMOS 27. While path analysis has been conducted to analyze the direct impact of ALI on learners' behavior, Hay’s PROCESS macro has been used to check the mediating impact of learner engagement between ALI and learners' behavior.

The results proved a significant and positive impact of all ALI factors such as ATT, SN and PBC on learners’ behavioral change. Further, the research found that learning engagement (LE) successfully mediates between AI learning intention and behavioral change.

In the absence of any empirical study in identifying the relationship among learning intention, LE and behavioral outcome, the result of this study may provide useful insights to researchers and practitioners.

This study aims to investigate the influence of psychosocial safety climate (PSC) on work engagement, job satisfaction and the mediating role of job demands among young academics in Malaysian research universities.

The study participants consisted of 177 full-time lecturers employed by Malaysian research universities for at least one year. Respondents were selected using a purposive sampling technique.

The findings reveal the significance of PSC in fostering work engagement and job satisfaction by mitigating the impact of job demands. However, the finding indicates that the relationship between job demands and work engagement was not statistically significant.

The necessity for a thorough three-wave research to precisely analyze the model’s longitudinal impacts was discovered in all correlation and cross-sectional studies.

The results indicate that the university should focus on job design and PSC support to enable university management to investigate further avenues for minimizing the impact of job demands to support academicians in RUs and enhance their job satisfaction. The results also indicated that young academicians’ work engagement might be improved by appropriate job demands.

To the best of the authors’ knowledge, this is the first study to examine these relationships among young academic staff in Malaysian universities. This paper offers recommendations to university policymakers on enhancing PSC, work engagement and job satisfaction among young academicians. It highlights the mediating role of job demands in Malaysian research universities.

The present research aims to explore the drivers of generative artificial intelligence (GEN AI)-based innovation adoption in the hospitality industry in Jordan.

To address the research gap and achieve the research work objectives, the Technology-Organization-Environment (TOE) lens and the structural equation modeling (SEM) approach were employed to analyze the sample data collected (n = 221) from the hospitality industry.

The findings indicate that relative advantage, top management support, organizational readiness, organizational culture, competitive pressures, government regulations support and vendor support significantly influence the GEN-AI-based innovation adoption, while the technological complexity is negatively associated with GEN-AI-based innovation adoption. Furthermore, the results showed there is no significant effect of cost on GEN-AI-based innovation adoption.

The paper analyses the TOE framework in a new technological setting. The paper also provides information about how GEN-AI-based innovation adoption may influence hospitality industry performance. Overall, this article provides new insights into the literature concerning AI technologies and through the TOE lens.

The purpose of the present study is to investigate the community’s view of power outages and their effect on sustainable community development. This research has three aims. This project will first investigate how a blackout affects a community’s ability to live sustainably.

A survey questionnaire was developed that included 22 factors from the literature. The questionnaire was distributed to diversified segments of society from different regions of Pakistan and examined critical factors affecting sustainable community development. A total of 349 (77%) responses were received.

The study results confirm that power failure negatively affects the sustainable life of a community. This study found that the reduced production of large manufacturing, decrease leisure and comfort, reduced public administrative efficiency, loss of educational opportunities and increased use of traditional energy sources are the most important factors for sustainable community development. Findings also suggest that policymakers and practitioners in public organizations need to ensure that projects are completed in a timely manner to meet growing community needs.

The purpose of this research is to address knowledge gaps related to power outages and sustainable community development. The major impact of power disruptions on communities was previously disregarded in development discourse. Participants in these discussions recognize communities as genuine stakeholders and acknowledge that power outages can have a substantial impact on their economic and social development. However, previous studies have neglected to address this phenomenon.