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Emphasizing the increasing role of talent management (TM) as a global phenomenon and a source of sustainable competitive advantage for organizations, this study aims to present a scoping review of empirical literature on TM, examining the transition of TM from a phenomenon-driven to a theory-driven field.

Using a scoping review, this study analyzed 200 empirical studies published between 2010 and 2023 on TM.

The results indicate that TM is extensively studied in nationally operated, large, private, engineering-led organizations in Anglo-Saxon countries. The study highlights the necessity for more empirical studies and statistically robust evidence to establish the effectiveness of TM.

This review intends to provide a vision and direction for future researchers, guiding TM towards becoming a theory-driven field characterized by widely accepted theoretical frameworks and research designs.

The findings of this study may not be generalizable to other types of organizations or cultural contexts, as it primarily focused on large private engineering-led organizations in Anglo-Saxon countries.

This paper offers a comprehensive view of the definitions, contextualization, conceptualization, frameworks, practices, processes and under-explored areas of TM, which are essential for its development as a discipline.

Amid challenges posed by the COVID-19 pandemic, fostering employee creativity has become paramount for organizations. However, there is a scarcity of research on digitalization of the workplace and its implications for implementing high involvement work systems (HIWSs) in organizations, particularly in relation to their impact on employee outcomes, such as creativity and job satisfaction. Additionally, limited attention has been given to the role of job level and organizational type in driving change during times of adversity. This study aims to examine the factors within the HIWSs model using the PIRK model – power (P), information sharing (I), rewards (R) and knowledge (K) to explore how HIWSs shape the extent of power individuals have over their employment, the sharing of information, the types of rewards that engage and motivate employees and the knowledge required to fulfil employees’ responsibilities effectively, both individually and collectively.

Using a qualitative research methodology, this study uses thematic analysis for data collection, analysis and interpretation. Semi-structured interviews (n = 48) served as the primary data collection method. Using the theoretical lenses of high-involvement practices and employee perceptions of PIRK, the effect on employee creativity and job satisfaction is analysed.

The findings of this study reveal that employee creativity is significantly influenced by how employees perceive power, information, rewards and knowledge. Moreover, the study highlights the role of transformational and transactional leadership in shaping employee perceptions of power, information and knowledge within HIWSs. A high perception of PIRK is found to positively impact employee job satisfaction.

This study offers valuable insights for human resource management (HRM) professionals seeking to make informed decisions regarding best practices and initiatives for enhancing employee outcomes in the post-COVID era. By recognizing the pivotal role of HIWSs and their influence on employee perceptions, organizations can strategically implement HIWSs to foster creativity and job satisfaction. Furthermore, this research contributes to the existing literature by examining the interplay between HIWSs and the PIRK model in the context of workplace digitalization, emphasizing the importance of adapting HRM practices to address the evolving needs of the modern workforce.

This study will help HRM professionals in making informed decisions on the best practices and initiatives to enhance employee outcomes in the post-COVID era. This paper adds to the existing literature on HIWS and PIRK in the context of workplace digitalization.

This paper examines and empirically validates the artificial intelligence-enabled human resource management (AI-enabled HRM) dimensions and sustainable organisational performance (SOP) relationship. It also examines the mediation and moderation of employee engagement (EE) and fusion skills (FS).

The indirect effects of AI-enabled HRM dimensions on SOP were found using structural equation modelling (SEM), bootstrapping and FS’s moderation effect by AMOS 22.

Results showed that AI-enabled HRM dimensions indirectly affected SOP through EE as a full and partial mediator with no moderation effects of FS.

This is the first study to link AI-enabled HRM dimensions, EE and SOP and determine how FS moderates EE and SOP.

Drawing on the stimulus–organism–response framework, this study examined the environmental stimuli driving tourists' internal, or organismic, states. In addition, the authors investigated the association of the identified organismic variables with the response variables during the COVID-19 pandemic. Specifically, the study examined how the associations between tourists' anticipation of recovery and the national government's smart governance, on one hand, and tourists' desire to travel domestically, their attitude toward domestic travel and their willingness to exhibit prosocial behaviors, on the other, further drive the satisfaction they derive from domestic travel.

The authors used an online questionnaire to collect self-report, single-wave data from individuals residing in India, an emerging market (N = 421).

The findings demonstrate (1) the association of anticipated recovery on the desire to travel and prosocial behavior; (2) the association of smart governance on attitude (although negative); (3) the association of desire, attitude and prosocial behavior on satisfaction; and (4) the lack of any moderation effect for perceived severity.

This study is the first empirical study to investigate the impact of tourists' perceptions and dispositions and the efficacy of the national government on tourists' desire to travel domestically and on their satisfaction with domestic travel. The findings can help emerging market multinationals and global brands engage better with domestic consumers in emerging markets within the context of the current pandemic. In addition, the findings can help to prepare these players to handle future disruptions caused by global health contingencies.

This study aims to focus on a key unanswered question about how digitalization and the knowledge processes it enables affect firms’ strategies in the international arena.

The authors conduct a systematic literature review of relevant theoretical and empirical studies covering over 20 years of research (from 2000 to 2023) and including 73 journal papers.

This review allows us to highlight a relationship between firms’ international strategies and the knowledge processes enabled by applying digital technologies. Specifically, the authors discuss the characteristics of patterns of knowledge flows and knowledge processes (their origin, the type of knowledge they carry on and their directionality) as determinants for the emergence of diverse international strategies embraced by single firms or by populations of firms within ecosystems, networks, global value chains or alliances.

Despite digital technologies constituting important antecedents and critical factors for the internationalization process, and international businesses in general, and operating cross borders implies the enactment of highly knowledge-intensive processes, current literature still fails to provide a holistic picture of how firms strategically use what they know and seek out what they do not know in the international environment, using the affordances of digital technologies.

The importance of mental wellbeing and the need for organizations to address it is increasing in the post-pandemic context. Although Artificial Intelligence (AI) is increasingly being adopted in HRM functions, its adoption and utility for enabling mental wellbeing is limited. Building on the Open System Theory (OST) and adopting the technology-in-practice lens, the authors examined the roles of human and technology agencies in enabling mental wellbeing.

The study was conducted in two stages; in Stage 1, the authors adopted a case methodology approach to examine the feasibility of a technology company's offerings to assess mental wellbeing. In Stage 2, the authors followed the grounded theory approach and interviewed 22 key stakeholders and HR leaders of diverse organizations. The authors used Gioia's approach to analyze the data.

The study demonstrates the interdependence and inseparability of human activity, technological capability and structured context. Specifically, the authors observe that AI adoption is pushing the boundaries of how organizations could support employees' mental health and wellbeing. These technological advancements and adoption are likely to facilitate the evolution of agentic practices, routines and structures.

This study carries two important implications. While the advent of cutting-edge technologies appears to affect employees' mental wellbeing, the study findings indicate the assistive role of technology in supporting mental wellbeing and facilitating changes in organizational practices. Second, the ontology of technology-in-practice shows how human–machine agencies gain newer relevance from the interactions that unite them. Specifically, per OST, technology (from an external context) can potentially change how mental wellbeing practices in organizations are managed. The authors extend the existing literature by suggesting that both human agents and internal contexts effectively limit the potential of technology agents to change existing structures significantly.

The authors address the need for more research on the technology-management interface, and the boundaries of technology-enabled wellbeing at work. While AI-HRM scholarship has primarily relied on micro-level psychological theories to examine impact and outcomes, the authors borrow from the macro-level theories, such as the OST and the technology-in-practice to explain how AI is shifting the boundaries of human and machine agencies for enabling mental wellbeing.

AI-based chatbots are revamping employee communication in organizations. This paper examines the adoption of AI-based employee experience chatbots by employees.

The proposed model is developed using behavioral reasoning theory and empirically validated by surveying 1,130 employees and data was analyzed with PLS-SEM.

This research presents the “reasons for” and “reasons against” for the acceptance of AI-based employee experience chatbots. The “reasons for” are – personalization, interactivity, perceived intelligence and perceived anthropomorphism and the “reasons against” are perceived risk, language barrier and technological anxiety. It is found that “reasons for” have a positive association with attitude and adoption intention and “reasons against” have a negative association. Employees' values for openness to change are positively associated with “reasons for” and do not affect attitude and “reasons against”.

This is the first study exploring employees' attitude and adoption intention toward AI-based EEX chatbots using behavioral reasoning theory.

In the era of digital disruption and customer loyalty loss, it has become even more important to shape the experience journey of a firm’s stakeholders. The benefits of experience data (XD) analysis for a competitive advantage and firm performance are well proven in the business-to-customer context. Therefore, this study aims to explore the limited exploitation of XD in the business-to-business (B2B) context.

The data of 338 B2B firms is generated through computer-assisted telephone interviewing using a structured interview guideline. A Mann–Whitney U test and binary linear regression are applied to test hypotheses derived from literature.

The results suggest that XD non-collectors see XD increase efficiency, whereas XD collectors view XD strategically beyond customer data. Additionally, the successful application of XD in firms can be fostered by connecting XD with operational data through digitalised processes, strategic usage and data collection at certain defined points of time.

This study contributes to the understanding of XD perception between collectors and non-collectors and develops determinants for the successful application of XD management. Based on the results, B2B marketing executives from academics and practice can foster the implementation of XD management to improve all firm’s stakeholders’ experiences. In this way, this study contributes to the understanding of managing not only customers’ but other stakeholders’ experiences.

The capacity of organizations to adapt swiftly and implement innovative approaches has ignited discussions about which human resource management (HRM) practices can foster creativity and innovative work behavior (IWB) among employees. Research suggests that IWB thrives in an environment where HRM acts as the architect, influencer and developer. However, our understanding of the specific HRM practices that promote innovative work behaviors remains limited. Existing studies offer scattered and occasionally conflicting insights, particularly concerning measurements and theoretical frameworks that could enable greater generalizability. Consequently, a comprehensive review of the relationships between HRM, innovation and IWB could provide clearer evidence about how HRM impacts innovation. This research presents a bibliometric analysis of research on the relationship between HRM and IWB. The purpose of this analysis is to provide an in-depth overview of the current state and future prospects of HRM and IWB by examining past and current research trends and predict future research directions.

The study used a bibliometric approach to collect 280 journal articles from the Web of Science database. The study identifies the most influential publications, outlines the knowledge structure and forecasts future trends using co-citation and co-word analysis.

The results of the co-citation and co-word analysis revealed the existence of four clusters. While acknowledging some limitations, this review sheds light on the expanding field of HRM and IWB research.

The study provides a comprehensive understanding of HRM and IWB as well as insights into future advancements in the field.

This is the first study to use bibliometric analysis based on the Web of Science (WOS) database to conduct a quantitative evaluation of the HRM practice and IWB literature.

The aim of this paper is to offer a comprehensive overview of the field of international human resource management (IHRM) research by tracing its evolutionary development over a 24-year period. The study seeks to understand how the field has progressed by considering historical research themes and their subsequent integration into more recent scholarly work, thereby identifying current and emerging research trends.

This paper employs bibliometric analysis to examine the evolutionary path of IHRM research from 1995 to 2019. A dataset of 1,507 articles from journals specializing in IHRM, international business and general management was created. Analysis at the keyword, thematic and network levels was conducted to identify trends, historical context and the interrelatedness of research themes.

The analysis reveals that IHRM research has gone through several phases of thematic focus, from initial emphasis on cultural differences and expatriate management to more recent topics like global talent management and digital transformation. Earlier research themes continue to be incorporated and re-contextualized in modern scholarship, highlighting the field’s dynamic nature.

This paper is one of the first to use a bibliometric approach to systematically examine the evolution of IHRM research. It not only provides a historical perspective but also outlines future research trends, incorporating the institutional logic perspective. The findings offer deep insights that are valuable for researchers, practitioners and policymakers interested in the development of IHRM research and its practical implications.