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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 the conservation of resource theory, aims to investigate the negative impacts of abusive supervision on helping behaviors among employees by examining the mediating role of rumination and the moderating role of psychological flexibility.

A total sample of 282 reliable questionnaires are collected from 282 employees working in education and banking sectors of Pakistan. SPSS and AMOS are used for data analysis of the proposed model.

The findings reveal that rumination mediates the relationship between abusive supervision and employees’ helping behavior. In addition, the results show that higher levels of psychological flexibility negatively moderate the relationship between abusive supervision and employees’ helping behaviors through mediation.

This study elucidates how and when abusive supervision deters helping behavior among employees and provides useful guidelines for banking/university’s administration to understand harmful consequences of abusive supervision and take appropriate policy measures to lessen their harmful effects upon employees.

By proposing a moderated mediation model, this study discovers rumination as a key mediator that links abusive supervision to employees’ helping behaviors and identifies the role of psychological flexibility in diminishing the negative impacts of abusive supervision upon employees’ helping behaviors through rumination.

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 examine sustainability reporting through the lens of global reporting initiative (GRI) standards in developing economies, particularly in Pakistan, from the perspective of stakeholder theory, legitimacy theory, and system theory.

Qualitative and quantitative analyses on economic, social and environmental areas of sustainability reporting based on the GRI standards are applied across 57 organizations listed on the Pakistan stock exchange over the years 2016–2020.

The results from the content analysis and descriptive statistics show that overall sustainability reporting increased persistently over time and limited organizations disclose economic, social and environmental sustainability based on GRI standards. Moreover, the result from the two-tailed correlation analysis shows positive relations between economic, social and environmental sustainability reporting.

Following the GRI standards, the regulators, government and policymakers need to assess the sustainability reporting based on GRI standards to improve corporate operations' transparency, stakeholder trust and legitimacy. The organizations should move beyond the compliance of regulatory norms and adopt the globally accepted sustainability GRI standards to improve sustainability reporting. The same kind of sustainability reporting is also advised for other countries with similar backgrounds and sustainability challenges.

The integrated sustainability reporting framework based on GRI standards enables the organizations to work as a system of interconnected economic, social and environmental sustainability to resolve the issue of sustainability reporting, ensure the trust of multiple stakeholders and legitimize their business operations in society.

To the best of the authors' knowledge and thorough review of literature, this is the first study that examines the sustainability reporting based on GRI in the developing country of Pakistan to extend the findings of previous studies from conventional sustainability reporting to the globally accepted GRI based sustainability reporting. Using system theory, this study provides an additional contribution to the consideration concerning sustainability reporting based on GRI standards in the context of Pakistan.

The purpose of this paper is to explore the contending role of important external inflows on the economic growth of Pakistan economy. The main purpose behind focusing on Pakistan is that it is receiving significant inflows from different international sources such as International Monetary Fund, World Bank and Asian Development Bank.

The study adopted the autoregressive distributed lag cointegration approach for the purpose of exploring the long-run cointegrating relationship among the variables. As Pakistan Government had been implementing some major liberalization policies during 1990s, data from 1976 to 2018 is used to estimate the specified models to reflect the impact of the surge of foreign inflows occurring from that time. In addition, error correction model is estimated for examining the short-run relationships.

The findings revealed the significant role played by different inflows in accelerating the economic growth. According to results, in the long run, all inflows, for example, Foreign direct investment (FDI), debt, official developdment assistance and remittances, have influenced significantly and positively the economic growth. The two control variables such as inflation and employment level included in the model have also played their expected role in the growth process. In the short run, some of the variables such as remittances, FDI and inflation rate have lost their significance level while for debt, aid and employment level, the signs of their coefficients become reversed.

Based on the findings, the study suggests the policymakers of Pakistan economy to liberalize the economy and attract more inflows from the external sources to accelerate economic growth.

To the best of the authors’ knowledge, this is the first comprehensive empirical study on the role of foreign inflows in the process of economic growth in the context of Pakistan economy.

The trade–growth nexus has been researched during the past few decades. However, the impact of trade openness on different sectors of the economy is not well explored. The purpose of the current study is to focus on developing countries to examine the impact of trade openness on three main sectors: industrial, service and agricultural.

The study applied econometric techniques that control unobserved heterogeneity and endogeneity to obtain robust and reliable results.

The results revealed that trade openness impacts different sectors differently. Trade openness positively impacts agriculture and industrial sectors, whereas it negatively affects the service sector. A similar trend is observed with regard to employment as it affects service sector negatively and creates a positive impact on other sectors, namely, agriculture and industrial sectors. Furthermore, it was found that human capital has a negative effect on all sectors, whereas financial development has positive effects on service and industrial sectors and negative effect on agriculture sector. The results are robust because of the method of estimation and the addition of some relevant variables.

The policymakers should focus on trade in agricultural and industrial sectors and should discourage trade in the service sector.

This study has examined the impact of trade openness on sectoral growth by focusing on the developing world, which is an under-researched area in the literature.

This study aims to find out the reasons of adopting Koha integrated library software, discovers the problems faced by librarians during its implementation, and gets the perceptions of librarians about the performances of Koha in Punjab, a province of Pakistan.

Survey method was used to collect the data through questionnaire from the purposefully selected sample (N = 66) of university librarians of Punjab, a province of Pakistan.

The librarians adopted Koha due to the availability of Web online public access catalog (OPAC), provision of MARC21 standards for cataloging and its free availability. During implementation, the librarians were faced with the problems of lack of technical skills, lack of knowledge about the Linux operating system, shortage of skilled manpower, slow internet speeds and approval from their organization. They highly rated the performance of the cataloguing, circulation, patron and OPAC modules of Koha.

This research provides a brief picture of librarians’ perceptions about Koha adoption and satisfaction levels. The findings highlighted the issues and problems faced during the implementation of Koha. This study will be helpful for librarians in the selection, implementation and usage of the Koha software in their libraries.

Innovations are imperative for organizational growth and sustainability. This study focuses on the employees' innovative behavior, a source of organizational innovations, which has received substantial attention from the researchers. Based on the psychological empowerment theory, the study exposes the effect of the various dimensions of public service motivation (PSM) on employees' innovative behavior (IB) in public sector institutions especially in the context of developing countries such as Pakistan. Moreover, the study also investigates the mediating role of psychological empowerment (PSE) between the dimensions of PSM and IB.

This study used the cross-sectional research design. By using random sampling, the adapted survey questionnaires were used to collect data from 346 faculty members of public sector universities located in provincial capitals of Pakistan. A partial least square–structural equation modeling (PLS-SEM) tool was used to assess the proposed hypotheses through SMART-PLS software.

Results revealed that attraction to policymaking (APM), compassion (COM), self-sacrifice (SS) have a significant impact on employees' PSE and their innovative behavior, while the relationship of commitment to the public interest (CPI) with PSE and IB was found insignificant. Moreover, PSE partially mediated the relationship between PSM dimensions and employees' IB.

There was a scarcity of research on IB especially in public sector institutions such as academia. This study theoretically contributed to the literature by providing a refined picture in assessing the proposed relationship of the constructs. This is also one of the original studies that examine the relationship between the dimensions of PSM and IB.

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