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This paper examines the growth trajectory, documents, journals, worldwide distribution authors, scientific production and thematic focus in the field of sustainable HRM.

A total of 765 publications (between 1982 and 2023) were chosen from the Scopus database that were diligently examined to reach insightful results. To aid the investigation, the Biblioshiny tool was used.

Through thematic mapping, the study finds that sustainable HRM is still an emerging and contemporary concept. Moreover, the themes of sustainable HRM are underdeveloped and need conceptual clarity. Additionally, these themes have evolved internally which have made a modest contribution to the advancement of the discipline. Furthermore, topic trending, word frequency and document citations indicate that a growing body of literature on sustainable HRM focuses extensively on environmental issues, demonstrating that HRM should be given greater attention to roles related to sustainability in the workplace.

Sustainable HRM should be a top priority for businesses, with an emphasis on environmental and sustainability concerns. To be in line with global sustainability standards, HR training needs to be updated. Companies should develop HR policies that put sustainability first and spend money on analytical tools. Academic and industrial cooperation can improve the field more quickly. Best practices can be standardized by participation in forums. It is crucial to take a holistic approach that balances environmental, social and economic factors.

This study distinguishes itself by adding highlights on bibliometric insights and thematic emphasis on sustainable HRM, adding to the progress of the field's knowledge and offering insightful pathways for future research.

Considering the economic dimension of sustainability, the purpose of this paper is to analyze the risk of bankruptcy in the Pakistani firms of the non-financial sector from years 1995 to 2017.

Three techniques were used which include multivariate discriminant analysis (MDA), logit regression and multilayer perceptron artificial neural networks. The accounting data of firms were selected one year before the bankruptcy.

Findings were obtained by comparing and analyzing the methods which show that neural networks model outperforms in the prediction of bankruptcy. They further conclude that profitability and leverage indicators have the power of discrimination in bankruptcy prediction and the best variables to predict financial distress are also found and indicated.

Practically, this study may help the firms to better anticipate the risks of getting bankrupt by choosing the right method and to make effective decision making for organizational sustainability.

Three different techniques were used in this research to predict the bankruptcy of non-financial sector in Pakistan to make an effective prediction.

Leadership styles appear to influence unethical pro-organizational behavior (UPB), but there has been little empirical research on employees' ethical behavior as an outcome of responsible leadership. This study examines the positive effect of responsible leadership on unethical pro-organizational behavior (UPB) via the mediator, leader–member exchange (LMX).

Responses from 200 full-time working employees in Pakistan were collected in two waves, and structural equation modeling was used to test the hypotheses.

The results indicated that LMX mediated the relationship between responsible leadership and UPB. Our research also yielded a negative relationship between responsible leadership and employees' willingness to engage in UPB and between LMX and UPB. In addition, the mediation and direct relationship results were stronger for employees who spent more than seven years in the organization as compared to those with less than seven years.

The leader's responsible behavior trickles down to the subordinates and encourages their employees to behave responsibly too. We also showed that responsible leadership influenced employees’ UPB engagement through LMX.

By adopting a responsible leadership style through training practices and appraisal tools, organizations may increase quality exchange relationship between leader and subordinates, which will reduce UPB.

This paper is one of the few empirical studies which have examined the relationship between responsible leadership, LMX and UPB. The results from our study help to enhance findings from earlier studies on the antecedents of UPB. Contrary to previous studies, our study also shows that LMX can lead to ethical behavior i.e. reduce UPB.

For the last two decades economics literature and debates have increasingly referred to institutions as the answers to the long-lasting queries regarding how stock market performance rises and what policies can be implement to encourage best outcomes in terms of stock market performances in Malaysia so that the analysis of the institutional basis under which any stock market functions has now converted an essential issue of investigation. This study attempts to capture the relationship between stock market movements and institutional quality (IQ) using autoregressive distributed lag bounds testing approach, over 33 years during the period of 1984–2016. The finding suggests that IQ positively and significantly affects stock market performance. Moreover, it is also showing that there is, in fact, a causal relationship between institutions and stock market performance. The findings are robust to changes in specification and a host of transparency measures.