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The purpose of this study was to investigate the connection between green human resource management (GHRM) and corporate social responsibility (CSR). In addition, this study also investigates how the impact of GHRM varies depending on the extent of transformational leadership.

Adopting a quantitative approach, the sample consists of 376 employees who hold leadership positions in the academic body and those who work in human resources units at universities who won the Web Metric Award.

Results have shown that all GHRM practices were found to have a significant and positive effect on CSR. In addition, the findings revealed that transformational leadership positively moderates the relationship between GHRM and CSR.

The findings of this study contribute to the existing body of knowledge by providing empirical evidence of the positive relationship between GHRM practices, transformational leadership and CSR performance. In addition, the study highlights the moderating influence of transformational leadership on the relationship between GHRM and CSR, suggesting that transformational leadership can increase the efficacy of GHRM practices in promoting CSR outcomes.

Undertaking the theoretical lens of “The need to belong” theory, the present study intends to explore the aftermath of internal whistleblowing and the behavioral outcomes that follow by linking it to the literature on workplace ostracism, loneliness and intentions to quit.

The respondents were hotel employees in the Delhi NCR region of northern India. A hypothesized sequential mediation model was tested on a sample of employees from a hotel using a three-wave time-lagged multistudy design.

The findings of the study established that internal whistleblowing leads to intentions to quit via workplace ostracism and loneliness at work.

The unique contribution of this study lies in understanding the underlying mechanisms and discussing the behavioral outcomes that follow post-whistleblowing. HR managers need to develop a work environment that protects whistleblowers and has a zero-tolerance policy against employees engaging in any form of retaliation or unethical business practices. Managers must be more proactive and sensitive to the social cues that will make them aware of the presence of acts of ostracism. Upon encountering such acts, managers can consider counseling employees engaging in such unhealthy practices.

This study aims to analyze the effects of socialization mechanisms (belief system and peer mentoring) on managers’ job engagement and their desire to have a significant impact through work, that is, the desire to substantially improve or facilitate the lives of others by performing their work. The study also examines the moderating role of organizational identification.

A survey was conducted with middle and lower-level managers at one of the largest banks in Brazil, the BankCo. The authors obtained a sample of 201 respondents and tested the research hypotheses with structural equation modeling. The authors also performed a complementary data analysis with fuzzy-set qualitative comparative analysis.

The results suggest that belief systems and peer mentoring directly promote job engagement and indirectly promote desire to have a significant impact to a better world through work (through full mediation of job engagement). The effects of job engagement on desire to have a significant impact through work are even greater when managers have high organizational identification. Finally, several causal combinations are sufficient for high levels of desire to have a significant impact through work.

Beyond studies that examine how organizational mechanisms influence employee outcomes (e.g. performance), this study explores how socialization mechanisms can promote desire to have a significant impact through work. Thus, the authors demonstrate how organizational core values, mission statement and peer mentoring collaborate for managers to develop altruistic behavior, that is, directly related to other human values, such as empathy and ethics, being able to contribute to a world better.

This study developed and empirically tested a model that connects socialization mechanisms, job engagement, organizational identification and managers’ desire to have a significant impact through their work. Therefore, the paper provides insights into the relevance of socialization mechanisms for orchestrating managers’ proactive and altruistic behaviors.

Environmental performance (EnPerf) needs to be critically studied so organizations can understand enhancing it. The purpose of this study is mainly to examine and explain the influence of beliefs and values of the human resources regarding religiosity (REL) and workplace spirituality (WS) on shaping an environmentally friendly work culture comprising environmental ethics (EE) and environmental passion (EP), to enhance EnPerf.

A survey methodology was used, and 316 responses were collected from the employees working in industries on the top list of polluting the environment using purposive sampling. Structural equation modeling was deployed to test the hypotheses.

This research is conducted to identify specific relationships of variables with the environment. It was discovered that WS affected EP and EE, positively affecting EnPerf.

This study guides organizations and their management to adopt WS, EE and EP, as these all increase EnPerf in the organization.

Not much work has been conducted on the environmental culture based on REL and WS, using the ability-motivation-opportunity theory. This research analyzes employees’ intrinsic factors, such as REL and WS, to develop EP and EE. Thus helping to comprehend how they can use to enhance EnPerf, which is the current priority for the organizations.

The study, grounded on the social cognitive career theory, seeks to analyze the upshot of psychological empowerment on career satisfaction via affective commitment. The study also aims to examine the impact of the interplay among affective commitment and resilience on the career satisfaction of Indian service industry professionals.

In this study, the data has been collected from 277 employees using standardized measures from the North Indian service industry. To test the proposed model, Analysis of Moment Structures (AMOS) (Hayes, 2013) was utilized.

The outcomes of the study offered substantial support for the theorized link between psychological empowerment, affective commitment, resilience and career satisfaction. The outcomes confirmed an affirmative association concerning psychological empowerment and career satisfaction through affective commitment as a mediator and resilience as a moderator. The study concludes that the workforce with extraordinary resilience will perceive a stronger influence of psychological empowerment on career satisfaction.

The study offers a few pertinent inputs for the organizations operating in high-power distance culture to comprehend the role of psychological empowerment and “resilient attributes” of personality in developing a sense of career satisfaction amongst Indian service sector employees.

The present research examines the association between psychological empowerment, affective commitment, resilience and career satisfaction for the first time as mediated moderation model and the same has neither been examined theoretically or empirically.

The purpose of this study is to analyse and compile the literature on various option pricing models (OPM) or methodologies. The report highlights the gaps in the existing literature review and builds recommendations for potential scholars interested in the subject area.

In this study, the researchers used a systematic literature review procedure to collect data from Scopus. Bibliometric and structured network analyses were used to examine the bibliometric properties of 864 research documents.

As per the findings of the study, publication in the field has been increasing at a rate of 6% on average. This study also includes a list of the most influential and productive researchers, frequently used keywords and primary publications in this subject area. In particular, Thematic map and Sankey’s diagram for conceptual structure and for intellectual structure co-citation analysis and bibliographic coupling were used.

Based on the conclusion presented in this paper, there are several potential implications for research, practice and society.

This study provides useful insights for future research in the area of OPM in financial derivatives. Researchers can focus on impactful authors, significant work and productive countries and identify potential collaborators. The study also highlights the commonly used OPMs and emerging themes like machine learning and deep neural network models, which can inform practitioners about new developments in the field and guide the development of new models to address existing limitations.

The accurate pricing of financial derivatives has significant implications for society, as it can impact the stability of financial markets and the wider economy. The findings of this study, which identify the most commonly used OPMs and emerging themes, can help improve the accuracy of pricing and risk management in the financial derivatives sector, which can ultimately benefit society as a whole.

It is possibly the initial effort to consolidate the literature on calibration on option price by evaluating and analysing alternative OPM applied by researchers to guide future research in the right direction.

This study aims to assess the predictive performance of various factors on Bitcoin returns, used for the development of a robust forecasting support decision model using machine learning techniques, before and during the COVID-19 pandemic. More specifically, the authors investigate the impact of the investor's sentiment on forecasting the Bitcoin returns.

This method uses feature selection techniques to assess the predictive performance of the different factors on the Bitcoin returns. Subsequently, the authors developed a forecasting model for the Bitcoin returns by evaluating the accuracy of three machine learning models, namely the one-dimensional convolutional neural network (1D-CNN), the bidirectional deep learning long short-term memory (BLSTM) neural networks and the support vector machine model.

The findings shed light on the importance of the investor's sentiment in enhancing the accuracy of the return forecasts. Furthermore, the investor's sentiment, the economic policy uncertainty (EPU), gold and the financial stress index (FSI) are the top best determinants before the COVID-19 outbreak. However, there was a significant decrease in the importance of financial uncertainty (FSI and EPU) during the COVID-19 pandemic, proving that investors attach much more importance to the sentimental side than to the traditional uncertainty factors. Regarding the forecasting model accuracy, the authors found that the 1D-CNN model showed the lowest prediction error before and during the COVID-19 and outperformed the other models. Therefore, it represents the best-performing algorithm among its tested counterparts, while the BLSTM is the least accurate model.

Moreover, this study contributes to a better understanding relevant for investors and policymakers to better forecast the returns based on a forecasting model, which can be used as a decision-making support tool. Therefore, the obtained results can drive the investors to uncover potential determinants, which forecast the Bitcoin returns. It actually gives more weight to the sentiment rather than financial uncertainties factors during the pandemic crisis.

To the authors’ knowledge, this is the first study to have attempted to construct a novel crypto sentiment measure and use it to develop a Bitcoin forecasting model. In fact, the development of a robust forecasting model, using machine learning techniques, offers a practical value as a decision-making support tool for investment strategies and policy formulation.

This paper aims to do a comprehensive analysis of the existing literature on workplace spirituality to address the intellectual framework of workplace spirituality and the framework's future direction.

A multistep screening procedure was used to obtain data from the Scopus database, which included 648 papers ranging from 1998 to 2023. The bibliometric analysis is conducted by using VOSviewer and Biblioshiny.

The bibliometric analysis showcases that workplace spirituality is a multidimensional concept primarily studied in the organizational behavior domain. The most important research themes were organizational culture and spirituality. In addition, this paper advances workplace spirituality literature by identifying the keywords, prominent authors, journals and conceptual structure.

The study summarizes the existing knowledge on workplace spirituality using bibliometric analysis, classifies thematic areas, identifies research gaps and suggests future avenues of research.

The review paper conducts a bibliometric analysis of the emerging area of workplace spirituality over time. These results can also serve as a guide for future research in the subject of workplace spirituality.

Replication is a primary self-correction device in science. In this paper, we have two aims: to examine how and when the results of replications are used in management and organization research and to use the results of this examination to offer guidelines for improving the self-correction process.

Study 1 analyzes co-citation patterns for 135 original-replication pairs to assess the direct impact of replications, specifically examining how often and when a replication study is co-cited with its original. In Study 2, a similar design is employed to measure the indirect impact of replications by assessing how often and when a meta-analysis that includes a replication of the original study is co-cited with the original study.

Study 1 reveals, among other things, that a huge majority (92%) of sources that cite the original study fail to co-cite a replication study, thus calling into question the impact of replications in our field. Study 2 shows that the indirect impact of replications through meta-analyses is likewise minimal. However, our analyses also show that replications published in the same journal that carried the original study and authored by teams including the authors of the original study are more likely to be co-cited, and that articles in higher-ranking journals are more likely to co-cite replications.

We use our results to formulate recommendations that would streamline the self-correction process in management research at the author-, reviewer- and journal-level. Our recommendations would create incentives to make replication attempts more common, while also increasing the likelihood that these attempts are targeted at the most relevant original studies.

This study seeks to comprehend if political exposure containing disapproval and different values will affect implicit knowledge sharing (KS) amongst colleagues in the organization. This research examines participants' responses to a colleague's social-media political exposure and their readiness to perform implicit KS to their colleague.

Data collection uses an online questionnaire and a vignette approach. Subsequently, data analysis for 316 finished surveys employs structural equation modelling-partial least squares (SEM-PLS).

The findings show that the perceived-value similarity of political posts of a colleague significantly and indirectly affects workers' readiness to do implicit KS. Besides, likes and trusts also significantly affect workers' readiness to perform implicit KS. While perceived-value similarity strongly shapes likes, likes significantly and positively affect trusts.

Sharing social-media postings associated with political exposure can hinder the implicit KS in organizations and is understudied in the field of knowledge management. Especially, unlike this study which focuses on private companies, previous studies have paid more attention to public enterprises. Besides, this paper's empirical verification is obtained from private organizations in Indonesia, which is also neglected by scholars.