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In the organizational behaviour literature, psychological capital (psycap) has been identified as a significant variable affecting the engagement level of employees. Relying on this, this study aims to examine the association between psycap sub-constructs and employee engagement (EE) using systematic review and meta-analysis techniques.

The study analyzed 28 primary studies (selected through a systematic review of literature by incorporating inclusion and exclusion criteria) via meta-analysis techniques conducted using Meta-Essential Software (1.5). Along with this, the Cohen Kappa reliability test and the trim and fill technique have been applied, followed by moderator analysis.

The results of the study contribute to the extant literature in three ways. Firstly, the study confirms the positive association between psycap sub-constructs and EE. Secondly, it looks into the individual constructs of psycap and shows that hope is the primary component that influences EE, followed by optimism, efficacy and resilience. Thirdly, the country acts as a moderator between psycap and EE.

The study’s result highlights numerous implications, suggesting that organizations should focus on bringing out the latent “HERO” (hope, efficacy, resilience and optimism) qualities of their employees to make the workplace more engaging. Lastly, the study concludes by pointing out the limitations and highlighting future directions.

Being the first systematic review and meta-analytical study focusing on psycap sub-constructs and EE associations, this study contributes to the engagement literature.

Proponents of micro-credentials envision them as vehicles for upskilling or re-skilling individuals. The study examines how integrating micro-credentials in the higher education ecosystem enhances employability. It aims to offer insights from the perspective of stakeholders who may benefit from these credentials at an institutional or individual level.

Online in-depth interviews are conducted with 65 participants from India, Nigeria, the United Arab Emirates and the United Kingdom to explore how micro-credentials can be a valuable addition to the higher education ecosystem. A multi-stakeholder approach is adopted to collect data.

The analysis highlights two possible methods of integrating micro-credentials into the higher education ecosystem. First, micro-credentials-driven courses can be offered using a blended approach that provides a flexible learning path. Second, there is also the possibility of wide-scale integration of micro-credentials as an outcome of standalone online programs. However, the effectiveness of such programs is driven by enablers like student profiles, standardization and the dynamics of the labor market. Finally, the study stipulates that micro-credentials can enhance employability.

The study's findings suggest that, for successful integration of micro-credentials, an operational understanding of micro-credentials, their enablers and strategic deliberation are critical in higher education. Institutions must identify the determinants, address technological limitations and select a suitable delivery mode to accelerate integration. However, micro-credentials can augment employability, considering the increasing emphasis on lifelong learning. An overview of the findings is presented through a comprehensive framework.

The study aims to explore digital transformation from the viewpoint of human resource management to uncover possible threads of relationship using bibliometric analysis. It also aims to identify the trending research themes within the domains of digital transformation (DT) and human resource management (HRM) collectively.

The research employs a mix of quantitative bibliometric techniques and qualitative content analysis. A corpus of 227 articles retrieved from the Scopus database was analyzed using the R-based Biblioshiny and VOS viewer.

The study shows publication trends, influential authors, leading journals, highly productive institutions, and, countries in the domain of DT and HRM. Co-citation and co-occurrence analysis was undertaken to identify the research clusters, depicting trending research themes that extensively dominate the research under this domain.

This study will serve as a ready reckoner for academicians and business leaders, giving them useful insights to make their road towards digital transformation less challenging with the assistance of human capital.

This study is one of the initial efforts to quantitatively synthesize the results of earlier publications using bibliometric techniques in the domain of DT and HRM together. It will aid researchers in locating research gaps and filling those gaps in the future.

The purpose of this paper is to investigate the effect of perceived support from family-friendly policies and supervisors on job satisfaction of employees by incorporating work-family conflict as a mediator.

Primary data were collected from 369 employees working in different organizations from the service sector in India. Smart PLS software was used to perform partial least square structural equational modeling.

The result confirms that both family-friendly policies and supervisor support negatively influences the work-family conflict. Also, work-family conflict partially mediates between family-friendly policies and job satisfaction as well as between supervisor support and job satisfaction. Also, supervisor support directly influences the job satisfaction of the employees.

Management needs to know the relevance of work-life policies and supervisor support to increase job satisfaction and reduce employees’ work-family conflict. Results will be useful for implementing family-friendly policies and designing training courses for the supervisors. This will make the workplace more family-friendly.

This study creates value for the employees in meeting their family obligations by reducing their work-family conflict. Organizations are benefited by attracting positive outcomes like satisfied employees, which will, in turn, lead to a more productive and happier workforce. Studies examining the influence of these policies and supervisory support on job satisfaction with work-family conflict as the mediating variable are difficult to find in the Indian context.

The purpose of this paper is to propose a conceptual framework for the application of blockchain in the Public Distribution System (PDS) in India to manage the supply of food grains to the targeted beneficiaries. The framework will help prevent diversions and leakages of grains at the warehouse and Fair Price Shop (FPS) level. The paper also identifies the enablers and disablers in the context of the framework.

This paper will firstly review the previous literature in PDS and blockchain-enabled agricultural and food supply chains. The study then proposes a framework that could be implemented in the PDS in India using blockchain technology.

The proposed framework provides an effective way to combat corruption, exclusion errors of targeted beneficiaries, leakage of PDS food grains and is cost-effective. The identified enablers and disablers give an insight into the application of blockchain in PDS in India.

The research work may have implications for the Ministry of Food and PDS (Central Government), Food Corporation of India and State Governments to manage the supply of the grains more efficiently and effectively.

The current study caters to the implementation of blockchain technology starting from the warehouse level to the FPSs and consumers and simultaneously connecting them to concerned authorities to ensure transparency and accountability.

The purpose of this study is to understand the views of employees about the application of distributed ledger database technology blockchain, in area of human resource management (HRM) of organizations. The current study aims to understand the views of both HR and non-HR employees of how they assess the current scenario of HRM in their organizations, their awareness about the blockchain technology and their opinion about the scope of application of blockchain in HRM.

A sample of 158 employees was collected consisting of employees working in both HR and non-HR profiles across various organizations. Chi-square test of homogeneity, log-linear analysis and basic frequencies were used to analyze the data.

The results revealed that there was no difference in viewpoints of HR and non-HR employees across all contexts related to blockchain in HRM. The study also analyzed the opinion of employees regarding advantages, organizational barriers and probable usages of blockchain in HRM.

The study will provide an insight to the organization decision-makers who are willing to roll out Industry 4.0 technology blockchain in HRM and beliefs of employees regarding acceptance of such change in organization.

This study will be a novel attempt to understand the scope of application of blockchain technology in HRM of organizations in Indian context.

In this introduction to the special issue, ‘Marxist Thought in South Asia’, we detail the long history of Marxist politics and theorizing in South Asia and highlight the unique contributions and perspectives of South Asian Marxists to global Marxism. Three contributions we find particularly significant are (1) South Asian Marxists' approach to thinking about questions of capitalism, colonialism and imperialism, (2) the treatment of agrarian and feudal continuities in Marxist theories from South Asia and (3) unique South Asian contributions to theorizing caste from a Marxist perspective.

Investors aim for returns when investing in stocks, making return volatility a crucial concern. This study compares symmetric and asymmetric GARCH models to forecast volatility in emerging nations like the G4 countries. Accurate volatility forecasting is vital for investors to make well-informed investment decisions, forming the core purpose of this study.

From January 1993 to May 2021, the study spans four periods, focusing on the global economic crisis of 2008, the Russian crisis of 2015 and the COVID-19 pandemic. Standard generalized autoregressive conditional heteroscedasticity (GARCH), exponential GARCH (E-GARCH) and Glosten-Jagannathan-Runkle GARCH models were employed to analyse the data. Robustness was assessed using the Akaike information criterion, Schwarz information criterion and maximum log-likelihood criteria.

The study's findings show that the E-GARCH model is the best model for forecasting volatility in emerging nations. This is because the E-GARCH model is able to capture the asymmetric effects of positive and negative shocks on volatility.

This unique study compares symmetric and asymmetric GARCH models for forecasting volatility in emerging nations, a novel approach not explored in prior research. The insights gained can aid investors in constructing more effective risk-adjusted international portfolios, offering a better understanding of stock market volatility to inform strategic investment decisions.

The devastating acute COVID-19 epidemic crippled the global economy in 2020. Within a month of the COVID-19 epidemic, every industry saw its stock prices plummet the most. Ending the COVID-19 pandemic will need equitable access to safe and effective vaccinations. This study aims to look at the link between COVID-19 vaccination and the stock markets for health and pharmaceutical sector.

The researchers used a mean-adjusted return model and event research approach to figure out how the first dose of the COVID-19 vaccine affects health and pharmaceutical sector stock market returns.

The evidence-based outcome indicates that immunisation announcement affects health and pharmaceutical company returns. Furthermore, the study concludes that the health and pharmaceutical industry is inefficient for a short period of time, but after 41 days, the sector absorbs the noisy information.

Since the outbreak, the development of COVID-19 vaccines has been a key focus of shareholders and investors. This study is unique in that it investigates the effect of the first dosage of SARS-CoV-2 vaccination on equity returns in the health and pharmaceutical industries, and it is likely to make a substantial contribution to the capital market literature on event methodology.

This study aims to investigate the determinants of cloud computing usage behavior by exploring trust, several trust antecedents, risk perceptions and the direct and mediating relationships of trust and perceived risk on the intention toward the behavior.

An online survey was administered to 1,228 cloud technology users. Using structural equation modeling, a proposed framework of 13 factors that have a direct and indirect influence on the usage behavior was introduced and tested.

It was observed that the intention toward the usage was influenced by trust and performance expectancy. Additionally, trust was affected by perceived accessibility and perceived technical support. The findings provided evidence on the diminished effect of perceived privacy and the insignificance of the mediating relationship of trust and perceived risk on the intention.

The study provides multiple implications for researchers by highlighting the concept of trust in this context and enriching their understanding of the relationship between risk and trust.

The research provides valuable guidelines for service providers toward introducing major concerns and the importance of dependable technical support.

This study contributes to the cloud computing literature by exploring the effect of perceived technical support on the usage and examining the relationship between trust and risk.