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This study aims to explore the adverse impacts of abusive supervision on helping behaviors among employees, as mediating by intention to leave and moderating by Islamic work ethics (IWE).

A quantitative approach was employed, and the sample consisted of 283 nurses working in various public sector hospitals in Pakistan. The data analysis was conducted using SPSS and AMOS with the PROCESS macro.

The results suggest that abusive supervision diminishes helping behavior among nurses. Additionally, the study reveals that intention to leave mediates the relationship of abusive supervision and nurses' helping behavior. Moreover, the introduction of IWE as a boundary condition reveals that the mediated link is weaker when IWE is higher, and vice versa.

This study provides valuable insights for hospital authorities to develop intervention strategies and policies aimed at reducing abusive supervision in hospitals. Hospital management should also be aware of the detrimental effects of abusive supervision on nurses' helping behaviors, which can be mitigated by promoting ethical values aligned with IWE.

This study makes a valuable contribution to the limited research on the link between abusive supervision and helping behaviors in hospital settings. It offers new perspectives by incorporating the Conservation of Resources theory, particularly within the healthcare sector. Furthermore, this research expands the current knowledge by investigating the mediating influence of intention to leave and the moderating effect of IWE in mitigating the adverse impact of abusive supervision on nurses' helping behavior in Pakistan's public sector hospitals.

This study, based on social exchange theory, aims to explore the association between appreciative leadership and employees' helping behaviors by investigating the mediation role of emotional reactions (pride, anxiety), and choosing organizational trust as a boundary condition between appreciative leadership and helping behaviors.

A total sample of 285 reliable questionnaires were collected in three time lags from employees working in the Pakistani education and banking sectors. PROCESS macro using SPSS and AMOS are employed for data analyses of the proposed model.

The findings reveal that appreciative leadership has positive impacts on employees' helping behaviors and emotional reactions (pride, anxiety) mediate the relationship of appreciative leadership and employees' helping behaviors. In addition, the results show that high organizational trust strengthens the positive relationship between appreciative leadership and employees' helping behaviors.

This research has provided empirical proof between the relationship of appreciative leadership and helping behaviors and the findings are of great significance for managers, employees, and organizations. The study proposes that leaders should have appreciative behavior while treating their subordinates. Moreover, it is revealed that the role of organizational trust should be given more attention and importance because it is a factor moderating the employees' helping behaviors.

The present study, among the first empirical efforts investigating the relationship between appreciative leadership and helping behaviors, organizational trust as a moderator, enriches the existing academic literature of and provides worthy insight into the research on appreciative leadership and helping behaviors.

The study aims to investigate the presence of herding behavior in the stock market of UK with a special emphasis on news sentiment regarding the economy. The authors focus on the news sentiment because in the current digital era, investors take their decision making on the basis of current trends projected by news and media platforms.

For empirical modeling, the authors use machine learning models to investigate the presence of herding behavior in UK stock market for the period starting from 2006 to 2021. The authors use support vector regression, single layer neural network and multilayer neural network models to predict the herding behavior in the stock market of the UK. The authors estimate the herding coefficients using all the models and compare the findings with the linear regression model.

The results show a strong evidence of herding behavior in the stock market of the UK during different time regimes. Furthermore, when the authors incorporate the economic uncertainty news sentiment in the model, the results show a significant improvement. The results of support vector regression, single layer perceptron and multilayer perceptron model show the evidence of herding behavior in UK stock market during global financial crises of 2007–08 and COVID’19 period. In addition, the authors compare the findings with the linear regression which provides no evidence of herding behavior in all the regimes except COVID’19. The results also provide deep insights for both individual investors and policy makers to construct efficient portfolios and avoid market crashes, respectively.

In the existing literature of herding behavior, news sentiment regarding economic uncertainty has not been used before. However, in the present era this parameter is quite critical in context of market anomalies hence and needs to be investigated. In addition, the literature exhibits varying results about the existence of herding behavior when different methodologies are used. In this context, the use of machine learning models is quite rare in the herding literature. The machine learning models are quite robust and provide accurate results. Therefore, this research study uses three different models, i.e. single layer perceptron model, multilayer perceptron model and support vector regression model to investigate the herding behavior in the stock market of the UK. A comparative analysis is also presented among the results of all the models. The study sheds light on the importance of economic uncertainty news sentiment to predict the herding behavior.

This study aims to test the Kuznets curve between economic growth and child labor, along with the influence of exports, household size and rural population in the context of Pakistan.

To achieve the research objective, this study applied the unit root test, bound co-integration test, and autoregressive distributive lags (ARDL) method for the period of 1972–2021.

The findings show an inverted U-shaped relationship between economic growth and child labor indicating that at the beginning stage of economic development, child labor increases due to lower per capita household and subsequently, in the long-run of economic development, child labor decreases due to the higher per capita households. Moreover, the results also show that exports, household size and rural population have a positive influence on increasing child labor.

The policymakers and government of Pakistan need to focus on long-term economic growth policies, ensure free quality education and cheap equipment which practices minimum manpower to reduce the threat of child labor.

Having long-run economic growth, the government of Pakistan need to equally benefit the households and the poor population to reduce child labor and enhance the social welfare of society.

To the best of the authors’ knowledge, this is the first study that investigates the Kuznets curve relationship between economic growth and child labor in the context of Pakistan. Moreover, this study contributes to the reduction in child labor through long-term economic growth in the context of Pakistan.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-05-2023-0387

Amidst the stressful work environment in the healthcare sector, employees struggle to maintain prosocial behavior and work reattachment. The potential role of awe and mindfulness in addressing these issues remains unexplored. This study investigates how coworker prosocial behavior affects work reattachment while considering the mediating role of mindfulness and the moderating role of awe.

Using a quantitative research design, data were collected through a survey questionnaire from 356 healthcare professionals in Pakistan. The data were analyzed in SPSS and AMOS for reliability and validity statistics, as well as for hypothesis testing.

The findings revealed a significant link between coworker prosocial behavior and work reattachment. Mindfulness acted as a mediator between coworker prosocial behavior and work reattachment, while awe had a positive moderating effect on these relationships.

The findings emphasize the need for fostering these elements to manage stress, support employees and improve work reattachment.

The existing literature lacks empirical evidence regarding the impact of coworker prosocial behavior on employee outcomes, and this study contributes by examining the roles of awe and mindfulness in the healthcare sector.

The authors examined how employee led exchange benefits the organizations. Specifically, the authors aim at investigating the mediating role of family supportive supervision between employee performance and taking charge behavior. The authors further examined leader-member exchange (LMX) as a boundary condition between employee performance and family supportive supervision.

The authors collected data from 295 employees and their supervisors working in various public sector organizations of Pakistan on a convenience basis. Specifically, data on family supportive supervision and LMX was collected from employees; whereas, data on employee performance and taking charge was collected from their supervisors between June–September 2021.

The statistical analysis reveals that high-performing employees are reciprocated by the high family-supportive supervision which increases their work-life balance and they further reciprocate by showing a propensity to take charge. In addition, LMX is noted to strengthen the association between employees' performance and family supportive supervision.

This study explains how managers can extend the stream of employees' performance by highlighting the role of family-supportive supervision and LMX. The managers through high LMX and provision of family-supportive supervision can boost the employees' outcomes from job performance to extra-role performance (i.e. taking charge).

This study adds value to the existing body of knowledge by considering performance as a predictor of various organizational-level consequences. Recent studies have considered the negative consequences of employees' performance, while the positive aspect has been called for an investigation.

Fintech businesses have the tendency to revolutionize the entire world. Especially, the tasks associated with banking needs, and therefore, there is a significant scope for Fintech in the banking industry. Although when the country’s major population is unbanked and most of the population is also financially excluded, then the scope of Fintech gets exaggerated for microfinance institutions (MFIs), and therefore, the significance of Fintech for MFIs is much higher than the commercial and Islamic banks. Hence, this chapter has been written purposively to illuminate the impact, role, significance and implications of Fintech for MFIs in Pakistan in order to boost the knowledge and understanding of diverse stakeholders. The specialty of this chapter is that it is written specifically with reference to Pakistan as there is least research work with respect to the application of Fintech in MFIs. Similarly, the chapter also contains the anatomy of the value chain activities of MFIs and their linkage with the role of Fintech applications in boosting the performance of MFIs. Last, but not the least, the chapter also has a detailed discussion on factors that are required to boost the usage of Fintech in the MFI sector. Therefore, this chapter is pervasive for academicians, researchers, entrepreneurs, intrapreneurs and students for grasping, understanding and applying recent knowledge towards the betterment of academic and pragmatic activities.

The shift in consumer focus towards green marketing mix elements is not a unique thing. Especially in recent times, most organizations are trying to implement green marketing strategies in order to influence customers as well as to reduce the negative impacts of environmental footprints. However, in recent times service marketing requires thorough implementation of a Green Marketing Mix as evidenced by Asian countries. However, research also claims that the use of a traditional green marketing mix is not a guarantee of success in the long run and therefore has been criticized by several researchers and scholars. Hence, there is a need to follow the Green-SIVA (Solution, Information, Access, and Value) concept in order to create a long-lasting impact on consumer buying and to discuss the application of tools in a more comprehensive manner. Although the linkage of Green-SIVA marketing might provide a new way to develop an effective marketing mix strategy for services. Hence, this chapter has been written purposely to discuss GMM elements with reference to the service industry of Pakistan and tries to develop an association with green-SIVA marketing practices in order to optimize service marketing practices.

Digital financial inclusion is a need of the recent era in order to flourish the growth of economies as well as businesses and individuals. Thus, varieties of digital technologies are launched to provide ease and leverage to customers’ financial needs. Among the well-known digital technologies, Fintech emerged as a well-known and accepted form of digital technologies. However, the acceptance level is much lower, especially in developing sides of the world like Pakistan where issues related to cyber-security are the major hindrance in the way of digitization and n-tier online payments. However, with a massive youth population, Pakistan also has the opportunity to use Fintech as the major tool for economic and social development. Therefore, this chapter has been written purposely to shed light on the importance, use, and role of Fintech in the growth of developing countries like Pakistan. The purpose is to increase the knowledge of youth about financial technologies especially Fintech so they may embrace their abilities with technological innovation, especially for their financial needs. On the other side, the chapter will also address the lack of research on this emerging trend to diverge the focus of researchers and academicians towards Fintech and its uses, scope, implications, and benefits for developing countries.