Bibliometric review on human resources management and big data analytics

Abstract

PurposeThis study aims to provide an in-depth understanding of big data analytics (BDA) in human resource management (HRM). The emergence of digital technology and the availability of large volume, high velocity and a great variety of data has forced the HRM to adopt the BDA in managing the workforce.Design/methodology/approachThis paper evaluates the past, present and future trends of HRM through the bibliometric analysis of citation, co-citation and co-word analysis.FindingsFindings from the analysis present significant research clusters that imply the knowledge structure and mapping of research streams in HRM. Challenges in BDA application and firm performances appear in all three bibliometric analyses, indicating this subject’s past, current and future trends in HRM.Practical implicationsImplications on the HRM landscape include fostering a data-driven culture in the workplace to reap the potential benefits of BDA. Firms must strategically adapt BDA as a change management initiative to transform the traditional way of managing the workforce toward adapting BDA as analytical tool in HRM decision-making.Originality/valueThis study presents past, present and future trends in BDA knowledge structure in human resources management.

Research landscape of energy transition and green finance: A bibliometric analysis

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“…Co-citation analysis hinges upon tallying concurrent citations and utilizes co-citation counts to assess similarities among documents, journals, and authors [ 46 ]. The examination of research themes involves the organization of scholarly literature, thereby unveiling coherence and evolutionary trends [ 53 , 54 ]. Prominent publications derive their significance from quantified co-cited counts and link strength [ 55 ].…”

Research Landscape of Energy Transition and Green Finance: A Bibliometric Analysis

“…This paper examines the current status of the energy transition-green nance association and yields illumination into the intricacies inherent in the body of literature through the application of bibliometric analysis. It provides comprehensive conceptual mapping, enhancing understanding of connections between prominent topics (Fauzi, et al, 2022a).…”

“…Co-citation and co-word analysis deepen structural evaluation and future direction mapping (Fauzi, et al, 2022b) Co-citation analysis hinges upon tallying concurrent citations and utilizes co-citation counts to assess similarities among documents, journals, and authors (Fauzi, 2023a). The examination of research themes involves the organization of scholarly literature, thereby unveiling coherence and evolutionary trends (Fauzi, et al, 2022a;White & McCain, 1998). Prominent publications derive their signi cance from quanti ed co-cited counts and link strength (Bashar et al, 2021).…”

Transforming higher education institutions through EDI leadership: A bibliometric exploration

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