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This paper aims to present affective computing or Emotion AI in the context of work and how organizational leaders such as managers and human resource (HR) professionals can implement this technology to foster an emotionally healthy workplace.

The authors provide a current overview of affective computing technology through definitions, examples and general use cases. This is in light of the current scrutiny on artificial intelligence (AI) use broadly across society. The authors address this from a research perspective and show how this advanced AI tool can be implemented in organizations for the benefit of employees.

Affective computing or Emotion AI is still relatively unknown, and yet, it is already part of our daily lives. Emotion AI platforms have the potential to be an essential part of HR tools. It is crucial, however, to use this technology in an ethical and responsible manner.

There is little awareness and understanding of use cases of affective computing tools in organizations, particularly for the well-being of the workforce. This paper provides HR leaders, managers and researchers with an overview of the origins of the field and major considerations for responsibly implementing Emotion AI to support employee mental health.

This editorial review presents a bibliometric account of the convergence of the fields of artificial intelligence (AI) and human resource management (HRM) and an overview of the related contributions in this special issue. It also explores the expansive area where research on AI and HRM intersects, a domain experiencing rapid growth and transformation, faster than we envisaged.

This substantive editorial employs a range of bibliometric analytical tools to present a state of knowledge on the topic and also provides an analytical overview of the contributions in this Special Issue.

A thorough examination of scholarly publications spanning two decades illuminates the evolutionary path of themes, key contributors, seminal works and emerging trends within this interdisciplinary sphere. Leveraging co-word analysis, we distill essential themes and insights from an extensive dataset of 654 journal publications curated from the Web of Science database. Our analysis underscores critical research domains, highlighting the nuanced interplay between HRM and AI.

By integrating findings from the bibliometric analysis and the contributions from the papers in the Special Issue, we highlight and speculate where the field is heading and where scholars have crucial? Opportunities to contribute to going forward.

The metaverse, through artificial intelligence (AI) systems and capabilities, allows considerable data analysis in the workplace, largely exceeding traditional people analytics data collection. While concerns over surveillance and issues associated with privacy and discrimination have been raised, the metaverse has the potential to offer opportunities associated with fairer assessment of employee performance and enhancement of the employee experience, especially with respect to gender and race, inclusiveness and workplace equity. This paper aims at shedding light on the diversity, equity and inclusion (DEI) opportunities and challenges of implementing the metaverse in the workplace, and the role played by AI.

This paper draws on our past research on AI and the metaverse and provides insights addressed to human resources (HR) scholars and practitioners.

Our analysis of AI applications to the metaverse in the workplace sheds light on the ambivalent role of and potential trade-offs that may arise with this emerging technology. If used responsibly, the metaverse can enable positive changes concerning the future of work, which can promote DEI. Yet, the same technology can lead to negative DEI outcomes if implementations occur quickly, unsupervised and with a sole focus on efficiencies and productivity (i.e. collecting metrics, models etc.).

Managers and HR leaders should try to be first movers rather than followers when deciding if (or, better, when) to implement metaverse capabilities in their organizations. But how the metaverse is implemented will be strategic. This involves choices concerning the degree of invasive/pervasive monitoring (internal) as well as make or buy decisions concerning outsourcing AI capabilities.

Our paper is one among few (to date) that discusses AI capabilities in the metaverse at the intersection of the HR and information systems(IS) literature and that specifically tackles DEI issues. Also, we take a “balanced” approach when evaluating the metaverse from a DEI perspective. While most studies either demonize or celebrate these technologies from an ethical and DEI standpoint, we aim to highlight challenges and opportunities, with the goal to guide scholars and practitioners towards a responsible use of the metaverse in organizations.

The purpose of this paper is to understand how global managers from the generation born 1965 to 1980 (“Generation X”) manage demands of international business travel with desires for family involvement. A portrait evolves of how travel within a global career might be optimized for both business and family life.

A qualitative methodology was used as little research has focussed on alternative forms of global work or work-family issues in a global context. The author conducted in-depth interviews with 25 Gen X global managers in dual-career families (“Global Gen Xers”) pursuing global careers from the USA and Canada.

The author uncovered how Global Gen Xers experienced “work-life balance” through executing personal discretion over travel and substituting in technology. The construct of travel discretion reveals these approaches. Mutual flexibility on the part of global managers and organizations tamed the demanding nature of work spanning divergent locations and time zones.

The findings represent experiences from a self-select group of global Gen X managers interviewed at one point in their careers. The author did not obtain reflections from their families on work-family functioning.

The findings encourage companies to foster flexibility among their global managers around travel decisions. The author can consider how and when international travel can be replaced through technology in order to control costs and sustain global workforces.

This study provides one of the first examinations of work-life balance among younger global managers. It also highlights experiences of those not on expatriate assignments, but performing global work through international travel and technology.

The purpose of this paper is to examine career‐life issues of successful women in the Americas.

A total of 30 interviews were conducted with successful women in Canada, Argentina and Mexico. Themes were pulled from the interview transcripts for each country, analyzed and then compared across countries, looking at universalities and differences of experiences.

The women in all three countries conveyed more subjective measures of career success, such as contributing to society and learning in their work, with Canada and Mexico particularly emphasizing receiving recognition as a hallmark of career success.

This research provides insight into the experiences of successful women in the Americas, which can inform the career development of women in business.

This research contributes to the literature on women's careers, highlighting successful women's experiences across cultures and in an under‐researched area: Latin America.

This paper aims to introduce a collection of papers about careers in cross‐cultural perspective, which contributes to the growing body of literature that addresses careers from different locations around the world.

Introduces the topic, providing some background and discussion of the main concepts.

Briefly introduces the papers and their main findings – differences and similarities among careers and career attributes in different cultural and national contexts.

Contextualizes the issue and extends the overall knowledge in the topic.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

This paper demonstrated that with the use of artificial intelligence, the metaverse can improve the outcomes of diversity, equity, and inclusion initiatives.

The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

The goal of this chapter is to present new ways of conceptualizing family-supportive supervisor behaviors (FSSB), and to present a multilevel model reviewing variables that are linked to this construct. We begin the chapter with an overview of the U.S. labor market's rising work–family demands, followed by our multilevel conceptual model of the pathways between FSSB and health, safety, work, and family outcomes for employees. A detailed discussion of the critical role of FSSB is then provided, followed by a discussion of the outcome relationships for employees. We then present our work on the conceptual development of FSSB, drawing from the literature and from focus group data. We end the chapter with a discussion of the practical implications related to our model and conceptual development of FSSB, as well as a discussion of implications for future research.