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The purpose of this paper is to highlight the role an intentional and cohesive research group for doctoral researchers and supervisors can play in surfacing and de-mystifying many of the implicit doctoral literacy practices involved in doctoral study.

This participatory, collaborative project, involving 11 doctoral researchers and three supervisors, was conducted in two stages. In the first stage, doctoral researchers and supervisors engaged in a discussion which resulted in a shared concept map. The concept map was then used as a prompt for stimulated recall interviews in which the participants reflected on the connections and peer learning afforded by the research group.

Drawing on ideas from Communities of Practice theory, the data revealed that the research group, including both supervisors and doctoral students, developed knowledge, relational connections and an awareness of a range of doctoral literacies.

This paper makes suggestions for how those in doctoral education can develop and embed research groups into institutional practices.

This study demonstrates the significant role a research group which is structured, intentional and guided plays in supervisors’ and doctoral students’ development of doctoral literacies and the fundamental intellectual and relational connections afforded by participating in such communities.

Following the surge of documents laying out organizations' ethical principles for their use of artificial intelligence (AI), there is a growing demand for translating ethical principles to practice through AI governance (AIG). AIG has emerged as a rapidly growing, yet fragmented, research area. This paper synthesizes the organizational AIG literature by outlining research themes and knowledge gaps as well as putting forward future agendas.

The authors undertake a systematic literature review on AIG, addressing the current state of its conceptualization and suggesting future directions for AIG scholarship and practice. The review protocol was developed following recommended guidelines for systematic reviews and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA).

The results of the authors’ review confirmed the assumption that AIG is an emerging research topic with few explicit definitions. Moreover, the authors’ review identified four themes in the AIG literature: technology, stakeholders and context, regulation and processes. The central knowledge gaps revealed were the limited understanding of AIG implementation, lack of attention to the AIG context, uncertain effectiveness of ethical principles and regulation, and insufficient operationalization of AIG processes. To address these gaps, the authors present four future AIG agendas: technical, stakeholder and contextual, regulatory, and process. Going forward, the authors propose focused empirical research on organizational AIG processes, the establishment of an AI oversight unit and collaborative governance as a research approach.

To address the identified knowledge gaps, the authors present the following working definition of AIG: AI governance is a system of rules, practices and processes employed to ensure an organization's use of AI technologies aligns with its strategies, objectives, and values, complete with legal requirements, ethical principles and the requirements set by stakeholders. Going forward, the authors propose focused empirical research on organizational AIG processes, the establishment of an AI oversight unit and collaborative governance as a research approach.

For practitioners, the authors highlight training and awareness, stakeholder management and the crucial role of organizational culture, including senior management commitment.

For society, the authors review elucidates the multitude of stakeholders involved in AI governance activities and complexities related to balancing the needs of different stakeholders.

By delineating the AIG concept and the associated research themes, knowledge gaps and future agendas, the authors review builds a foundation for organizational AIG research, calling for broad contextual investigations and a deep understanding of AIG mechanisms. For practitioners, the authors highlight training and awareness, stakeholder management and the crucial role of organizational culture, including senior management commitment.

The authors aim to contribute to current knowledge on women's networks in organizations by exploring the strategies employed by members of women's networks, Human Resources (HR) management and senior line management to negotiate the role of these networks in their organizations.

The authors employ the theoretical perspective of micro-politics to analyze qualitative data they collected in an action research project using open-ended interviews and participant observation. The interviews were conducted with network board and active members, and members of their organizations' HR departments and senior management. Participant observation of the interviewees' interactions took place during facilitated workshops.

Adding to the literature, the authors find that members of the different parties employ different micro-political strategies. Many senior HR and management members demand that the networks' activities contribute to the organizations' diversity aims and bottom line. They largely avoid strategic cooperation with the networks. Most network members, in turn, resist the restricted role of the networks as an instrument to realize their organizations' business case. They claim some freedom to independently decide on the networks' strategies and activities. They resist being attributed tasks and responsibilities that they consider to reside with their organizations. Moreover, they try to sustain cooperative relationships with senior HR and management in an advisory role.

The action research approach enabled the authors to contribute to existing knowledge and extend the micro-politics theoretical perspective to include the collective agency of members of organizational groups and cooperation between these groups.

This study aims to examine the perceptions and evaluations of Muslim COVID-19 survivors and health workers regarding the halal, business and ethical attributes of hospitals during their interactions related to COVID-19 treatment.

Descriptive qualitative research with semi-structured online interviews was used to gather insights from COVID-19 survivors and health workers who treated COVID-19 patients. The findings were then compared with existing literature on hospital services and Sharia attributes.

The study found that patients and health-care workers in hospitals are concerned about whether the hospital follows Sharia law, the quality of health-care and hospital services and the ethical conduct of hospital staff. This is especially true during the COVID-19 pandemic, when patients are more anxious about religious conduct and the afterlife.

Hospitals need to address halal attributes in all aspects of their services for Muslim patients and business attributes such as standard health-care quality, service quality and ethical attributes. Participants indicated that when these needs are met, they are more likely to revisit the hospital and recommend it to others.

This study contributes to understanding the expectations of Muslim patients regarding hospital services that meet Islamic ethical and business requirements. Using the COVID-19 pandemic as a case study broadens the understanding of how to better serve Muslim customers.

Overcrowding continues to afflict emergency departments (EDs), and its attendant consequences are becoming increasingly severe. The burden of the COVID-19 pandemic is further escalating the situation worldwide. One of the most critical questions is how to adequately quantify what constitutes overcrowding and determine implications for operations management in improving service efficiency. This paper aims to discuss the aforementioned.

The authors propose the time and class complexity measures for ED service systems, taking into account important patient-level and system characteristics. Using an extensive data set from a Canadian ED, the authors investigate the performance of complexity-based measures in predicting service delays.

The authors find that the complexity measure is potentially more important than some well-known crowding metrics. In particular, EDs can improve service efficiency by managing the level of complexity within a desirable interval. Furthermore, complexity exposes how the interplay between demand-side behavioral changes and supply-side responses affects operational performance. Moreover, the results suggest that arrival patterns—the number of patients of each class arriving per time and times between events (arrivals and service completions)—increase the risk of service delays more than the demand volume.

This paper is the first to provide an extensive investigation into the application of the complexity-based measure for ED crowding. The study demonstrates potential values to be gained in ED service systems if complexity measure is incorporated into their operations management decisions.

The purpose of this paper is to review the literature on intersectionality and ascertain its potential for application to human resources (HR) research and practice. Particular attention is paid to its methodological issues involving how best to incorporate intersectionality into research designs, and its data issues involving the “curse of dimensionality” where there are too few observations in most datasets to deal with multiple intersecting categories.

The methodology involves reviewing the literature on intersectionality in its various dimensions: its conceptual underpinnings and meanings; its evolution as a concept; its application in various areas; its relationship to gender-based analysis plus (GBA+); its methodological issues and data requirements; its relationship to theory and qualitative as well as quantitative lines of research; and its potential applicability to research and practice in HR.

Intersectionality deals with how interdependent categories such as race, gender and disability intersect to affect outcomes. It is not how each of these factors has an independent or additive effect; rather, it is how they combine together in an interlocking fashion to have an interactive effect that is different from the sum of their individual effects. This gives rise to methodological and data complications that are outlined. Ways in which these complications have been dealt with in the literature are outlined, including interaction effects, separate equations for key groups, reducing data requirements, qualitative analysis and machine learning with Big Data.

Intersectionality has not been dealt with in HR research or practice. In other fields, it tends to be dealt with only in a conceptual/theoretical fashion or qualitatively, likely reflecting the difficulties of applying it to quantitative research.

The wide gap between the theoretical concept of intersectionality and its practical application for purposes of prediction as well as causal analysis is outlined. Trade-offs are invariably involved in applying intersectionality to HR issues. Practical steps for dealing with those trade-offs in the quantitative analyses of HR issues are outlined.

Intersectionality draws attention to the intersecting nature of multiple disadvantages or vulnerability. It highlights how they interact in a multiplicative and not simply additive fashion to affect various outcomes of individual and social importance.

To the best of the author’s knowledge, this is the first analysis of the potential applicability of the concept of intersectionality to research and practice in HR. It has obvious relevance for ascertaining intersectional categories as predictors and causal determinants of important outcomes in HR, especially given the growing availability of large personnel and digital datasets.

This chapter will introduce the concept of the gig economy. It begins with a brief discussion of technological changes and their impact on the workforce and labour market, demonstrating how the trend shifts towards the gig economy. It then examines the trends that are influencing this transformation and discusses various perspectives and the attractiveness of the gig economy for workers and businesses. This chapter will also discuss the gig economy, platform economy, digital platform, and gig worker categories. It concludes with a brief discussion of some of the opportunities, issues, and challenges associated with the gig economy.

This chapter explores the results of an international survey (RAAAP-2) to provide global insight into research management and administration (RMA) as a relatively new field of investigation within the area of higher education management (HEM). Building on that extensive survey, the purpose of this chapter is to investigate qualitatively how and why people become and remain research managers and administrators, focussing primarily on their skills, roles, and career paths.

Findings from the analysis confirm that a career in RMA is rarely an intentional choice and can be described as labyrinthine, which could be even compared and contrasted with a concertine academic career described by Whitchurch et al. (2021). While conclusions confirm the gender implications of the profession, which is overall highly ‘female’; further conclusion sheds light on RMAs across regions and suggests how this varied ecosystem could even undermine the recognition of RMA as a profession.