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Despite the popularity of talent management (TM), very little has been published on the community of scholars that contribute to the knowledge base of the field. The purpose of this paper is to disclose the dynamics in TM research through a detailed analysis of its evolving collaboration networks (i.e. research communities) in order to identify key authors and major topics covered.

A total of 225 co-authored articles published on TM from 2001 to May 2016 were retrieved from the Web of Science and Scopus and then analyzed and mapped using social network analysis methods.

The authors identified two major scientific communities (one of 63 authors and the other one of 24 authors). Both communities not only have different characteristics and structure, but also focus on different topics. The authors identified key players within each community and offer a dynamic view on the main topics studied.

This paper may help practitioners and newcomers to the field to rapidly identify key players and main topics studied in the TM field. It may assist academic institutions and journal editorial teams in better assessing and identifying key scholars in this field.

This paper offers the first analysis of TM collaborative research networks.

This paper aims to contribute to the literature on human resources (HR) digitalization, specifically on HR analytics, disentangling the concept of analytics applied to HR and explaining the factors that hinder companies from moving to analytics. Therefore, the central research questions addressed in this study are: what does HR analytics encompass? What impedes the adoption of analytics in HR within organizations?

The authors performed a comprehensive literature review on analytics as applied in HR. The authors relied on two of the major multidisciplinary publication databases (i.e. Scopus and WoS). A total of 64 manuscripts from 2010 to 2019 were content analyzed.

The results reveal that there is an ongoing confusion on HR analytics conceptualization. Yet, it seems that there is an emerging consensus on what HR analytics encompasses. The authors have identified 14 different barriers for HR analytics adoption grouped into four categories, namely, data and models, software and technology, people and management. Grounding on them the authors propose a set of 14 key factors to help to successfully adopt HR Analytics in companies.

This paper brings clarity over the conceptualization of HR analytics by offering a comprehensive definition. Additionally, it facilitates business and HR leaders in making informed decisions on adopting and implementing HR analytics. Moreover, it assists HR researchers in positioning their paper more explicitly in current debates and encouraging them to develop some future avenues of research departing from some questions posed.

Conducting relevant research is a cornerstone of good academic practice. However, considering academics and practitioners’ divergent paradigms and social systems, it is challenging to undertake impactful research. Indeed, the research–practice gap remains an essential issue in human resource management research. There have been several calls for translating research for dissemination, making it more societally relevant, and beginning conversations and activities that move beyond the confines of the academic context. In fact, research on talent management (TM) has been accused of lagging in offering organizations vision and direction. Understanding the perceived causes and potential solutions for relevant problems is a real need to successfully narrow the TM research–practice gap. Thus, the purpose of this chapter is to offer an in-depth discussion on the research–practice gap in TM. To do so, we first identify the critical dimensions of research relevance that will help us to ground our discussion regarding the applicability of current academic TM research. By doing this, we seek to understand better what is happening with TM research, which should then help provide insights into how its practical impact can be improved.

There is little doubt that practitioners and academics care about talent management (TM). The significant impact that the Fourth Industrial Revolution has on the work environment, combined with a set of broader socioeconomic, geopolitical, and demographic changes, emphasize the importance of managing talent extremely well. However, it seems that practitioners and managers are still seeking answers to the practical issues in handling TM and the chapter questions how much academic research is addressing this concern. In particular, this chapter offers a critical reflection on the relevance (visibility and impact) of TM research. Although the field has evolved significantly, practical implications for stakeholders remain unanswered. In other words, the Academic-Practitioner Gap in TM remains wide. Current TM research is lost in and before translation. In order to overcome these issues, scholars will require hard self-examination, and engagement with practitioners. The future of TM will be brighter and its role more effective when stakeholders work more closely to chart a consistent pathway forward.

The purpose of this paper is to frame empirical literature on talent management (TM), and to provide a clear and comprehensive picture of the topics under investigation, the conceptualization of TM, and under-explored areas.

The authors adopted a systematic review that covers empirical research on TM which has been published between 2006 and 2014 in academic peer-reviewed journals. A total of 96 articles were included in the review. A bibliometric as well as a content analysis has been carried out.

The results reveal that the Anglo-Saxon context (in particular EU) has a great impact on empirical TM research. Also research foundations and designs are not very rigorous. A slight awareness of context and culture was found. Empirical TM research is predominantly built on an exclusive approach to TM. Yet, how TM works in practice and how well (from the perspective of multiple actors) as well as the role and perceptions of line managers are under-explored areas.

The paper gives vision and direction to practitioners in particular on the definition of talent and TM.

This study frames the extent and nature of empirical research on TM, and it is the first to specifically and objectively examine the advances made in the field and to identify under-explored areas. By doing so, it helps to avoid presumptions and misguided beliefs, to advance the knowledge of TM issues in organizations and regions, and to better channel future research.

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.