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Due to government policies, accreditation demands, competition, digital India reforms and National Education Policy (NEP) 2020, the need for electronic human resource management (e-HRM) has increased considerably in the Indian higher education (HE) sector, but the literature has revealed that the adoption of e-HRM practices in Indian HE institutions (HEIs) is still in its embryonic stage; therefore, the purpose of the current qualitative study is to explore the challenges and facilitators of e-HRM adoption in the Indian HE sector through interpretative phenomenological analysis (IPA).

The present study incorporates IPA, to capture the personal lived experiences of the HR executives employed in the Indian HEIs. Using purposive sampling, semi-structured interviews were conducted with the HR executives employed in Indian universities and institutions to know the perspectives on the adoption of e-HRM practices in Indian HEIs.

The study identified two superordinate themes, namely, challenges and facilitators of e-HRM adoption in the Indian HE sector. The superordinate theme “challenges” comprises eight sub-themes. Further, the theme “facilitators” consists of six subthemes.

The study has implications for the stakeholders of the HE sector, i.e. HR practitioners, top executives of the HE sector, government and HE regulators and other stakeholders of the HE sector.

This study has given deep insights into the challenges and facilitators in the adoption of e-HRM practices in the Indian HE sector, and to the best of the authors’ knowledge, no study till date has filled this knowledge gap through qualitative exploration using IPA.

Research on human resource management (HRM) and technology has gained momentum recently. This review aims to create a bibliographic profile of the field of HRM and technology using bibliometric techniques, complemented by qualitative analysis, examining 239 articles published in the four key human resource (HR) journals.

First, using VOSviewer software, we analysed the research productivity by identifying authors, journals and influential articles, followed by insights on research themes and their evolution. Next, integrating bibliometric and qualitative approaches, we conducted a hybrid inquiry of the field to analyse current theories, methods and variables.

The bibliometric analysis highlighted the intellectual structure, key themes and distinctive developments categorised under four temporal phases that have shaped research in this field. In addition, qualitative analysis presents significant theoretical perspectives, the methods employed and the nomological framework of variables.

Our study advances the extant literature on HRM and technology by quantifying the leading bibliometric performance indicators complemented by qualitative evaluation of the field, which entails exploring the possible research strands and related trends that have emerged in the past two decades.

This paper aims to explore and conceptualize the emotional labor of racial minorities and women in the gig economy.

The paper draws on current research on gig workers' engagement in emotional labor and accounts of unfair practices in the gig economy. It calls out the presence of bias in algorithmic systems used within the gig economy as a means of control and gig worker management. The negative impact of such bias on a specific gig worker demographic is theorized.

Through a review of research on the nature of work in the gig economy, the paper suggests an unspoken mandate exists for gig workers to engage in emotional labor practices. Specifically, the nature of gig work in terms of algorithmic control, coupled with gig work dependence, often creates a need for gig workers to engage in emotional labor. This need is heightened for racial and ethnic minorities and women gig workers.

As gig platforms increasingly rely on algorithms for management and gig workers face biases, this paper offers valuable insights that contribute to a comprehensive understanding of the gig economy's impact on worker well-being. The paper discusses the need for more profound research into the nature of work in the gig economy and the life experiences of gig workers.

This paper has significant implications for organizations and gig workers. Understanding the relationships proposed in this paper can inform organizational strategies to enhance the well-being of gig workers and improve their overall work experiences, potentially leading to increased satisfaction and reduced turnover. Additionally, the paper recommends strategies gig workers can utilize to achieve positive outcomes.

The evolving work landscape, driven by the gig economy, necessitates a thorough understanding of new work dynamics. This paper sheds light on the often-overlooked diversity within the gig workforce, mainly focusing on the unique experiences of women and racial and ethnic minorities.

The purpose of the present study is to investigate the role of responsible leadership in impacting organizational sustainability performance grounded in the stakeholder theory. Further, it delves into the underlying mechanism that accentuates the link between responsible leadership and organizational sustainability performance via mediating role of sustainable HRM practices within the organization.

The study follows a cross-sectional research design using data collected via questionnaire-based survey from employees working in top 100 NSE listed organizations in India. The proposed hypotheses of the research were tested using SPSS Process Macro.

Results depicted that there is a direct relationship between responsible leadership and organizational sustainability performance. However, the relationship is better explained with a mediating role of sustainable HRM practices within the organization.

The study is helpful for the practitioners to understand the instrumentality of responsible leadership and sustainable HRM practices within Indian organizations. Moreover, the study promotes the relevance of achieving sustainability-oriented goals of the organizations.

The study fosters the limited research on the integration of leadership style and HRM function. The results further add to literature on sustainable HRM by studying its antecedents and consequences.

The purpose of this paper is to examine the relationship between knowledge-enhancing HR practices, intellectual capital and sustainable competitive advantage in knowledge-based firms.

A quantitative approach was used to conduct the present study. The respondents were sampled from knowledge-based firms in Iran. Overall, 320 managers in 157 firms were selected using convenience sampling. A structural equation model was employed for testing the hypotheses.

The study confirmed that knowledge-enhancing human resource (HR) practices established a very strong connection with intellectual capital. The results further disclosed a positive relationship between intellectual capital and firms' competitive advantage. A mediated relationship between knowledge-enhancing HR practices and firms' competitive advantage through intellectual capital was also affirmed.

The study was conducted in knowledge-based firms in Iran, which limits the generalizability of the research findings. Therefore, future studies should be carried out with samples from other contexts. Moreover, as the study was cross-sectional, the causal relationships could not be inferred directly.

The paper underscored the importance of intellectual capital in improving knowledge-enhancing HR practices and firms' competitive advantage. It suggests to human resource managers to make the organizational arrangements to design knowledge-enhancing HR practices, thereby developing the intellectual capital that brings competitive advantage to knowledge-based firms.

The results of this study contribute to advance research on the intellectual capital literature by trying to explain how intellectual capital as a mediator variable can influence the relationship between knowledge-enhancing HR practices and sustainable competitive advantage.

The paper has intended to advance the research on the relationship between COVID-adjusted HR practices (CAHRP) and employees' stress (ES) by exploring the mediating role of employees' satisfaction from remote working (ESRW). Further, a consolidative moderated mediation model with HR pandemic readiness (HRPR) as moderator on the above-stated relationship has also been proposed.

A data set of 2266 respondents from 84 countries across six continents of the world was analysed using techniques like factor analyses, correlations and bootstrapping through PROCESS Macro in SPSS 23.

The results highlighted that ESRW significantly mediated the relationship of CAHRP and ES. Further, HRPR moderated significantly the indirect relationship between CAHRP and ES via employees' satisfaction. This relationship was found stronger at highest level as against lower level of HRPR.

This study has augmented empirical evidences to the existing literature of COVID-19 by presenting HRPR as a new dimension of HR and its role in handling the challenging situations of pandemics.

From the lens of organizational ambidexterity, the energy sector companies in India are confronted with numerous human resources (HR) challenges as they explore new avenues in the renewable sector while exploiting non-renewable (conventional) resources. This study aims to decode these challenges and identifies key competencies to address these.

Data were gathered and analysed using a sequential mixed methodology (qualitative and quantitative) in three phases. In Phase 1, a focused group discussion with eight senior management employees was carried out to identify the HR challenges and competencies required for meeting those challenges. The themes derived from this were used in designing the questionnaire for use in Phase 2 to capture the perceptual differences between HR and Line managers on these challenges. The identified competencies by senior management were prioritized using the analytical hierarchy process in Phase 3.

The study provides insight into the HR challenges in the pursuit of organizational ambidexterity by energy sector companies in India. Also, key competencies to deal with these challenges have been prescribed.

While previous studies have identified generic HR challenges in this domain, the present study is unique in decoding the HR challenges as these organizations are simultaneously exploring and exploiting energy sources for achieving excellence in the Indian context.

The aim of this study is to explore employees’ perceptions of the role of human resources (HR) departments in Jordanian organisations and the reasons behind these perceptions.

Semi-structured interviews were conducted with 23 employees who work at different organisations in various industrial sectors in Jordan.

Employees perceive HR roles as: providing transactional services (traditional); working as business partners to facilitate other departments’ roles (limited). Perceptions of HR professionals and the role of HR departments were generally negative, due to: societal-cultural norms and stereotypes of HR departments and HR professionals; the role of Wasta (a localised form of favouritism) in affecting HR practices; employees’ personal experiences with HR departments and HR professionals at their workplace; and the non-availability of human resources management (HRM) degrees in Jordan.

Limited research has explored varying perceptions about HR departments and their impacts on business contexts in emerging markets, including Jordan. This research is unique as it identifies the reasons behind common misconceptions of HR roles in Jordanian organisations. It extends beyond existing literature by integrating employees’ perceptions of the role of the HR departments to understand the consequences for HR practices’ operational effectiveness. It also pioneers consideration of societal culture in shaping these perceptions, which helps us build theories for future testing and generalisation purposes in other contexts with cultural commonalities. This study also highlights the current state of HRM development in Jordan, which helps in setting the agenda for future research in the country and the Middle East and North Africa region.

The purpose of this study is to provide an overview of artificial intelligence (AI) in the talent management sphere. The study seeks to contribute to the body of knowledge with respect to human resource management and AI by conducting a literature review on the integration of AI in talent management, synthesising existing approaches and frameworks, as well as emphasising potential benefits.

The study adopts desk research, computational literature review (CLR) and uses topic modelling [with bidirectional encoder representations from transformers (BERTopic)] to throw light on the diffusion of AI in talent management.

The study’s main finding is that the area of AI in talent management is on the verge of gradual development and is in tandem with the growth of AI. We deduced that there is a link between talent management practices (planning, recruitment, compensation and rewards, performance management, employee empowerment, employee engagement and organisational culture) and AI. Though there are some known fears with regards to using the innovation, the benefits outweigh the demerits.

The current study has some limitations. The scope and size of the sample are the primary limitations of this study. No form of qualitative analytics was used in this study; as a result, the information obtained was limited. The study provides a snapshot of AI in talent management and contributes to the lack of literature in the joint fields. Also, the study provides practitioners and experts an overview of where to target investments and resources if need be.

The originality of this study comes from the combination of CLR methods and the use topic modelling with BERTopic which has not been used by previous reviews. In addition, the salient machine learning algorithms are identified in the study, which other studies have not identified.

With the recent proliferation of AI, organisations are transforming not only their organisational design but also the input and output operational processes of the hiring process. The purpose of this paper is to explore the organisational and operational dimensions resulting from the deployment of AI during talent acquisition process.

The authors conducted semi-structured interviews and meetings with human resources (HRs) professionals, recruiters and AI hiring platform providers in Sweden. Using an inductive data analysis rooted in the principles of grounded theory, the study uncovered four aggregate dimensions critical to understanding the role of AI in talent acquisition.

With insights from algorithmic management and ambidexterity theory, the study presents a comprehensive theoretical framework that highlights four aggregate dimensions describing AI’s transformative role in talent recruitment. The results provide a cautionary perspective, advising against an excessive emphasis on operational performance driven solely by algorithmic management.

The study is limited in scope and subject to several constraints. Firstly, the sample size and diversity are restricted, as the findings are based on a limited number of semi-structured interviews and meetings with HRs professionals, recruiters, and AI hiring platform providers. Secondly, the rapid evolution of AI technologies means that the study’s findings may quickly become outdated as new advancements and applications emerge.

The results provide managers with actionable information that can lead to more precise and strategic management practices, ultimately contributing to improved organizational performance and outcomes. Plus, enhancing their ability to make informed decisions, optimize processes and address challenges effectively.

The results signal both positive and negative impacts on employment opportunities. On the positive side, AI can streamline recruitment processes, making it easier for qualified candidates to be identified and hired quickly. However, AI systems can also perpetuate existing biases present in the data they are trained on, leading to unfair hiring practices where certain groups are systematically disadvantaged.

By examining the balance between transactional efficiency and relational engagement, the research addresses a crucial trade-off that organizations face when implementing AI in recruitment. The originality lies in its critique of the prevailing emphasis on e-recruiting.