Abstract
Purpose: 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. Design/methodology/approach: 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. Findings: 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. Originality/value: 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.
Original language | English |
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Journal | Personnel Review |
Early online date | 26 Aug 2024 |
DOIs | |
Publication status | E-pub ahead of print - 26 Aug 2024 |
Bibliographical note
Copyright © 2024, Emerald Publishing Limited. This author's accepted manuscript is deposited under a Creative Commons Attribution Non-commercial 4.0 International (CC BY-NC) licence. This means that anyone may distribute, adapt, and build upon the work for non-commercial purposes, subject to full attribution. If you wish to use this manuscript for commercial purposes, please contact [email protected]Keywords
- E-HRM
- HRM
- Bibliometric analysis
- Artificial Intelligence
- Big Data
- Technology
- Advanced Statistical