Determinants of effective HR analytics Implementation: An In-Depth review and a dynamic framework for future research

被引:12
作者
Wang, Lijun [1 ]
Zhou, Yu [2 ]
Sanders, Karin [3 ]
Marler, Janet H. [4 ]
Zou, Yunqing [5 ]
机构
[1] East China Univ Sci & Technol, Sch Business, 130 Meilong Rd, Shanghai 200237, Peoples R China
[2] Renmin Univ China, Sch Business, 59 Zhongguancun St, Beijing 100872, Peoples R China
[3] Univ New South Wales, Sch Management & Governance, Business Sch, Sydney, NSW 2052, Australia
[4] SUNY Albany, Sch Business, Albany, NY 12222 USA
[5] Renmin Univ China, Sch Business, 59 Zhongguancun St, Beijing 1008721, Peoples R China
基金
中国国家自然科学基金;
关键词
HR analytics; Implementation; Adaptive structuration theory; Determinants; Dynamic framework; HUMAN-CAPITAL ANALYTICS; HUMAN-RESOURCE MANAGEMENT; BIG DATA; WORKFORCE ANALYTICS; ORGANIZATIONAL-PSYCHOLOGY; COMPETITIVE ADVANTAGE; TECHNOLOGY; PERFORMANCE; SCIENCE; METRICS;
D O I
10.1016/j.jbusres.2023.114312
中图分类号
F [经济];
学科分类号
02 ;
摘要
Human resources (HR) analytics implementation is a field that continues to evolve, keeping pace with the increasing speed of digital innovation. However, despite its practical significance, there is a lack of knowledge of effective HR analytics implementation. Therefore, in this study, by conducting an in-depth analysis of 89 peer-reviewed HR analytics studies published during the past twenty years, we present a comprehensive summary of determinants of successfully implementing HR analytics in organizations. Furthermore, using adaptive struc-turation theory, we propose a dynamic framework of HR analytics implementation, offering guidance to both HR practitioners and HR scholars. Finally, we provide a research agenda aimed at stimulating future research en-deavors in HR analytics.
引用
收藏
页数:14
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