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This paper aims to explore the relationship between owner-manager or leader’s ambidextrous leadership style and its effect on human resource management (HRM) practices, contextual ambidexterity and knowledge-intensive small- and medium-enterprises (SMEs) strategic agility.

This study presents an in-depth qualitative case study analysis of two knowledge-intensive SMEs from India’s information technology and health-care products industry serving a range of global clients. Using the theoretical lenses of empowerment-focused HRM practices, ambidextrous leaders, contextual ambidexterity and strategic agility, semi-structured interview data of leaders, managers and employees of the case organizations were analysed. Through a two-staged analytical process, we abductively developed a novel conceptual framework at the intersection of the above theoretical lenses.

The findings suggest that the knowledge-intensive SME’s strategic agility, ambidexterity and empowerment-focussed HRM approach was influenced by the owner-manager or leader’s ambidextrous leadership style and their philosophy towards managing people and had a positive impact in creating a culture of trust, participation, risk-taking and openness, and led to delivering innovative products and services as well as several positive employee-level outcomes.

Recent literature reviews on HRM In SMEs highlight several gaps, including the impact of owner-manager or leader’s philosophy of managing people in shaping HRM practices and employee outcomes. This paper thus adds to the existing literature on HRM and knowledge-intensive SMEs.

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.

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.

The study aims to understand the impact of psychological safety on employee creativity leading to innovative behaviour in a hybrid workforce. It further examines the drivers of psychological safety: inclusive leadership and affective climate as well as the interaction of employee creativity and proactive personality on innovative behaviour at remote work.

Using multi-source survey-based data, the study has been conducted in two phases for independent variables (IV) and dependent variables (DV). The first phase has gathered data for IVs from 515 team members and DVs from 105 teams’ leaders from various software development teams in the information technology and information technology enabled services sectors. The study has used component-based partial least square structural equation modelling to test various arguments developed in the paper.

The results of the study confirm the positive association of affective climate and inclusive leadership to psychological safety, which facilitates employee creativity leading to innovative behaviour. However, the results show there is no interaction of a proactive personality with employee creativity on innovative behaviour. Also, the results have supported the social network theory, which says that the strong ties among employees promote innovative behaviour.

According to the study, psychological safety might help strengthen and increase the social ties that bridge structural holes and improve collaboration across business units. This may encourage employee creativity, especially in remote work. Further, it highlights how employee creativity and proactive personality are important independent factors that facilitate innovative behaviour.

The study is a unique attempt to explore the role of psychological safety in enhancing creativity and innovative behaviour in hybrid mode of work setting.

To describe how decision-making in the selection processes of managerial successors in business families is influenced by the use of cutting-edge technologies such as AI.

Systematic literature review of 65 articles indexed in Scopus and in the main specialized journals on family businesses.

The integration of AI and algorithms, specifically in selection procedures, raises major questions and faces legal and ethical issues that affect employee performance, moral commitment and fairness in the processes. These aspects are important to ensure transparency, fairness and accountability as they provide insight into the practices of business families and how succession challenges such as the possibility of using signaling games and addressing gender biases and information asymmetries that have been reported in past research could be complemented by these actions.

The limitations of this research are mainly attributed to the exclusive use of a single database (Scopus), which could limit access to relevant literature; Furthermore, the exclusion of certain articles, despite focusing on prestigious journals on business families, may have overlooked relevant contributions; Furthermore, the 20-year scope of the literature review that ended in February and August 2024 omits subsequent publications that could have enriched the findings of this study.

To the best of the author’s knowledge, this study is the first of its kind to conduct a bibliometric analysis covering the line of successor selection and the process leveraged by new practices such as AI, an aspect that has been little addressed in the literature. In addition, this work traces aspects of decision-making that may affect selection. The research is of great value since it allows to illustrate in a consistent way the relationship between the selection of executive successors and how it is affected by the different decision-making processes in families, which allows to identify research gaps and make strategic decisions regarding the management of successions in BFs. Furthermore, this research provides a framework for future research in this area.

Intelligence transformation has hugely influenced business operation in many industries and countries, such as in the emerging market. Generative Artificial Intelligence (GAI) adoption by organisations is a significant result of transformation. However, the influence of GAI adoption on small and medium-sized enterprises (SMEs) has been given less attention in business and management studies. In particular, managing the relationship of employees in GAI adoption is a focal point during the transformation from an ethical, responsible and sustainable perspective. Drawing on organisational socialisation and technology adoption theories, this chapter develops a process of socialising newcomers and/or existing employees in the development of GAI adoption in their workflow with identification of challenges and strategies to the adapt to the change. This discussion can help managers and other key persons to effectively manage the relationship and interactions between employees and technology (GAI) in a more ethical, responsible and sustainable manner.

The present research study aims to understand the cause-and-effect reasons behind the job-hopping practices followed by Gen Z employees in the industry 5.0 in India. Further, in the tandem of efforts, the research study has examined the direct and indirect relationship among novice behaviour, social alienation and job-hopping in Gen Z in the information technology sector of Industry 5.0 in India.

The 533 Gen Z or millennial employees were chosen from northern India Industry 5.0 following the non-probability purposive sampling technique. The study follows the quantitative research approach, and the data were collected through a survey questionnaire based on standardized measuring instruments. Further, the gathered data were analysed using the structure equation modelling.

The study’s findings confer the significant direct impact of novice behaviour on job-hopping. While measuring the indirect relationship, the partial mediation effect was noticed in the relationship among novice behaviour, social alienation and job-hopping in the Gen Z employees of Industry 5.0 in India.

The present study will be beneficial to the investors to recognize the job-hopping reasons in Industry 5.0. Further, Gen Z employees and academicians will also receive insight into the cause and effect behind job-hopping. Such will minimize the gap between industry and academia and help Gen Z attain stable employment in Industry 5.0.

This study aims to explore talent retention in knowledge-intensive industries by investigating the mediating processes between the existence and application of human resource management (HRM) and employee turnover. Toward this end, drawing on the conservation of resources and job demands–resources theories, a three-dimensional model is examined, which includes the relationship between HRM, knowledge management (KM) and change management (CM), as well as their relationship with employee engagement and employee turnover intention.

The proposed research model has been studied with a sample of 168 talented employees in over six European countries, using a quantitative approach, involving the structural equation modeling method. All data were gathered by a multidimensional questionnaire via prolific, an academic crowdsourcing platform.

Results indicated that knowledge-intensive services firms may achieve higher talent retention through the interaction of HRM with KM and CM practices, which may lead to enhanced employee engagement.

Possible limitations of the study include the relatively small sample size, the self-rate questions for the collection of data and the use of cross-sectional data.

To retain their talented employees, organizations should identify ways to improve their HRM, CM and KM practices. In addition, HR practitioners ought to include their talented employees in all organizational change and KM processes and create mechanisms that successfully support knowledge acquisition, creation, sharing, retention and codification.

To the best of the authors’ knowledge, this is the first study to examine various factors of retaining talented employees in knowledge-intensive services. Furthermore, the study took place in six European countries, i.e. UK, Poland, Italy, Germany, Portugal and Greece, where the research on talent retention is very limited.

The study examines the mediating mechanisms of job engagement (JE) and organizational engagement (OE) in the relationship between organizational career development (OCD) and retention of millennial employees.

Data from a total of 422 employees working in information technology organizations in India were collected through a structured questionnaire survey and subjected to analysis using structural equation modelling (SEM) with a confidence level of 95 percent. The convenience sampling technique for collecting data and descriptive research design was used in the study.

Results of SEM indicate that there is a positive relationship between OCD and employee retention (ER), which is mediated by JE and OE partially.

The study contributes by establishing the mediating role played by JE and OE in the relationship between OCD and ER.