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

被引：17

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

来源：

JOURNAL OF BUSINESS RESEARCH | 2024年 / 170卷

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

页数：14

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