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The purpose of the paper is to afford a comprehensive conceptualization and operationalization of the construct of talent management through an inclusive exploration of conceptual clarifications for existing confusions while developing a complete measuring instrument.

The archival method was adopted together with a systematic review based on Khan et al.’s (2003) five steps of systematic literature review. The systematic review has encircled published research articles between 1982 and 2023 in the human resource management (HRM) arena. A total of 130 articles were initially scrutinized, and 106 were systematically reviewed to conceptualize, operationalize and explore clarifications for confusions and instrument development for talent management.

This study explored conceptual clarifications for existing confusions towards talent management while recognizing definitions that come under the main philosophical schools for the underlying concept of talent. A novel practical definition has been established for talent management while recognizing dimensions, and then certain elements. A comprehensive instrument has been developed to measure talent management.

This study is limited to instrument development in measuring talent management; nevertheless, there is an enormous scope for using the instrument to empirically measure talent management through organizational and employees perspectives linked to diverse global contexts in future studies.

The developed comprehensive instrument is a vibrant contribution to future investigations related to empirically measuring talent management associated with organizational and employee perspectives related to diverse global contexts in winning “war for talent.” This study endows a significant input to the whole frame of HRM knowledge as it resolves existing conceptual ambiguities towards talent management while defining and operationalizing it.

Talent management is conducted to maximize an organization's overall performance and efficiency which helps to serve as a competitive advantage. Human resource management is a concept which includes human-related activities, but talent management is a strategy which helps to get new talent, develop their skill sets and provide better employee engagement and experience to retain the top potential employees in an organization. Improvement in recruiting and retention of a workforce results from a well-executed talent acquisition approach. In the 21st century, employee retention has become a primary concern for the organizations specially with work from home and hybrid models.

The workforce for tomorrow is going to be very different from what it has been. Technology is transforming the way people work within organizations. The workplace is rapidly evolving in terms of people and processes and is going through a lot of technological changes. The terminologies such as automation, artificial intelligence, augmented reality and block chain technologies are slowly becoming part of the workplace and everyday activities of the organization.

The challenges are many and especially post-pandemic organizations are going through some major changes such as a mindset shift of employees to take up more remote working opportunities, building virtual teams, increase in the gig economy workers (contractual workers) and a diverse workforce which makes it even more challenging for the organization to manage and retain talent.

This research seeks to unveil an integrative perspective on talent management (TM) in small and medium-sized enterprises (SMEs), particularly through a multilevel approach and within the French context. Drawing on dynamic capability theory and focusing on French SMEs as a rich domain for multilevel studies, the research aims to elucidate how these enterprises operationalize TM while addressing and integrating their distinct capabilities and requirements, internal dynamics and challenges.

Through an integrative study based on a qualitative approach, we collect data from 15 French SMEs. In total, 20 semi-structured interviews with individuals from different levels, managing and working in SMEs, were conducted and analyzed thematically to identify patterns across all SMEs. Companies and interviewees represented a variety of sectors such as telecommunication, high-tech, circular economy, etc.

We present an integrative multilevel approach through TM in French SMEs, describing how SMEs operationalize TM. Across three main levels (organizational, collective and individual) and key SMEs’ capabilities, our results underscore the significance of top management commitment capabilities and SMEs' assessment capabilities, the involvement of line managers in facilitating strategic agility and cultivating the talent ecosystem and the outcomes of TM in driving SMEs' reconfiguration, extending beyond mere TM-level integrations and articulations. We address these findings for foreign SMEs intending to enter the French context and SMEs’ actors on the importance of contextual issues and level articulations while calling for future research focusing on group-level and managers’ roles in TM.

This article moves the TM research towards an integrative multilevel view in SMEs as a fertile ground for studying multilevel TM. As part of recent studies on TM in French SMEs within the broader European competitive context, it expands the integrative approach in SMEs by accommodating the unique requirements, the multilevel dynamics and the challenges that they encounter with TM, especially when compared to multinational enterprises (MNEs).

Our study, based on signaling and social identity theories, explores how companies develop employer brand strategies through university partnerships and employee-centered practices. We also identify key factors that encourage employees to share positive word-of-mouth, enhancing the company’s appeal to potential and current talents.

Using Partial Least Squares Structural Equation Modeling, we analyzed a sample of 687 employees from various industries in Greece.

In our research, we highlight the role of employees' affective commitment in generating positive word-of-mouth recommendations for their company, as a desirable employment destination through interactions within their alma mater universities. This commitment, tied to their understanding of the company’s employer brand and their perceptions of its pre-recruitment practices, fosters a positive employer image among potential candidates. Our study confirms that leveraging employees as brand ambassadors enhances a company’s appeal to younger generations.

Companies should prioritize cultivating employees' affective commitment and facilitate interactions between employees and young candidates at their alma mater universities. It is crucial to ensure that employees understand the company’s employer brand both during their experience as candidates and as employees. By understanding the factors influencing employees' willingness to act as brand ambassadors, organizations can strengthen their employer image and attract younger candidates.

Our findings enhance the understanding of employee word-of-mouth dynamics, offering insights to improve pre-recruitment HR practices aimed at attracting students and recent graduates. By emphasizing employees' perceptions and actions regarding their social interactions at alma mater universities and their employer brand awareness, we can add value to employee-centric pre-recruitment strategies. Designed and implemented by employers, these strategies aim to attract emerging talent through universities.

The purpose of this study is to identify the impact of Michel Porter's generic business-level strategies adopted by the organisation on its employer branding strategy. Based on the expert’s opinion and insights, this study aims to determine the extent to which the employer branding strategy, its inherent significance, the requisite investment and the used tactics are influenced by the organisation's business strategy.

Considering a phenomenological research design, this study adopted semi-structured interviews as a means to gather qualitative data from a purposive sample comprising HR professionals. The collected data were subjected to thematic analysis, enabling the identification of recurring themes and patterns. Findings and conclusions were subsequently derived in accordance with the outcomes of the thematic analysis.

The study revealed that the significance, nature, challenges and ways of implementation of employer branding strategies vary depending on the type of business strategy adopted by the organisation. While organisations pursuing a differentiation strategy heavily invest in employer branding and placing considerable efforts into developing an appealing employee value proposition, companies pursuing cost leadership invest relatively less in employer branding by implementing cost-effective tactics. Companies implementing a focus strategy demonstrate a moderate level of investment in employer branding initiatives.

The study is limited to IT, manufacturing and banking sectors only. Additionally, the sample of the study is limited.

Employer branding as a strategy has been widely explored in the recent past. Similarly, Michel Porters’ generic strategies have also been widely researched. However, the interconnection between these two levels of strategies presents novel perspectives for business strategists and HR professionals involved in the formulation and implementation of HR strategies. This linkage provides valuable insights that facilitate effective decision-making in relation to employer branding strategies, enabling organisations to prioritise their objectives more effectively.

The existing literature lacks research that investigates the connection between employer branding strategy and business strategy. Hence, this study represents a pioneering effort that aims to explore this unexplored linkage. Further, this research effort has also uncovered previously uninvestigated findings concerning the comparative analysis of employer branding strategies across different sectors while examining the connection between business strategy and employer branding strategy.

This case was developed from secondary sources such as industry reports, articles, news reports and social media sites.

This study offers a fresh perspective on leadership by exploring the nontraditional journey from human resources (HRs) positions to the esteemed chief executive officer (CEO) role. It highlights the transformation of HR from an administrative function to a strategic one. The study emphasizes the pivotal role of chief human resources officers (CHROs) in shaping company culture and ensuring employee satisfaction. It also delves into HR professionals’ unique skills and attributes to the CEO position, drawing examples from successful transitions such as Mary Barra at General Motors, Leena Nair at Chanel and Nigel Travis at Dunkin Donuts. The study addresses the growing trend in contemporary business discussions: the potential reshaping of the traditional CEO role by HR directors. It offers valuable insights for organizations looking to adapt to a rapidly evolving economic landscape by highlighting the synergy between CEO responsibilities and HR expertise.

This case is designed for undergraduates in various courses such as fundamentals of HR management, human capital management, strategic management, leadership development and career planning and management. It is appropriate for sections of the course focusing on managerial decisions and the changing role of HR managers. The case discussion is suitable for classes of 12–40 students and can be easily adapted for online courses using interactive discussion tools. Students are expected to read the case before participating in the discussion.

In today’s digital era, talent recruitment can help address the growing shortage of skilled labor in the construction industry and promote sustainable growth. While existing research has explored the association between talent acquisition and local labor productivity or economic progress, the impact on construction growth deserves further study. This study aims to (1) explore the influence of talent recruitment on the growth of the construction industry and (2) analyze whether different regional characteristics shape the differential impact of talent acquisition on construction growth.

This research employs a quantitative approach, focusing on 35 major cities in China. A panel data regression model is utilized to analyze annual data from 2013 to 2018, considering variables like the construction talent recruitment index, value added in construction, gross regional product per capita and others. The study also examines regional heterogeneity and conducts robustness tests to validate the findings.

The results reveal a positive and significant correlation between talent recruitment and construction industry growth. This correlation is more pronounced in economically advanced and infrastructure-rich regions. The study also finds that factors like capital investment, educational attainment and housing prices significantly contribute to industry growth. Talent recruitment not only transforms local labor market dynamics but also drives demand for construction services, promoting industry growth through economies of scale.

This research constructs a new measurement for talent recruitment and provides new insights into the pivotal role of talent recruitment in the sustainable growth of the construction industry. It underscores the need for construction firms to tailor talent acquisition policies to their specific circumstances and regional developmental conditions. The findings offer practical guidance for driving regional growth within the sector, emphasizing the importance of talent recruitment as a key yet previously underappreciated factor in industry development.

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.

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.