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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共 122 条
  • [11] New HR metrics: Scoring on the business scorecard
    Beatty, RW
    Huselid, MA
    Schneier, CE
    [J]. ORGANIZATIONAL DYNAMICS, 2003, 32 (02) : 107 - 121
  • [12] The role of the capability, opportunity, and motivation of firms for using human resource analytics to monitor employee performance: A multi-level analysis of the organisational, market, and country context
    Bechter, Barbara
    Brandl, Bernd
    Lehr, Alex
    [J]. NEW TECHNOLOGY WORK AND EMPLOYMENT, 2022, 37 (03) : 398 - 424
  • [13] Human resources analytics: A legitimacy process
    Belizon, Maria J.
    Kieran, Sarah
    [J]. HUMAN RESOURCE MANAGEMENT JOURNAL, 2022, 32 (03) : 603 - 630
  • [14] An ROI-based review of HR analytics: practical implementation tools
    Ben-Gal, Hila Chalutz
    [J]. PERSONNEL REVIEW, 2019, 48 (06) : 1429 - 1448
  • [15] Bersin J., HR Technology Market 2021: The Definitive Guide
  • [16] Conceptualising the future of HRM and technology research
    Bondarouk, Tanya
    Brewster, Chris
    [J]. INTERNATIONAL JOURNAL OF HUMAN RESOURCE MANAGEMENT, 2016, 27 (21) : 2652 - 2671
  • [17] Boudreau J., 2017, Harvard Business Review, P2
  • [18] Boudreau J, 2017, J ORGAN EFF-PEOPLE P, V4, P119, DOI 10.1108/JOEPP-03-2017-0021
  • [19] STATE OF SCIENCE IN INDUSTRIAL AND ORGANIZATIONAL PSYCHOLOGY: A REVIEW OF SELF-REPORTED LIMITATIONS
    Brutus, Stephane
    Gill, Harjinder
    Duniewicz, Kris
    [J]. PERSONNEL PSYCHOLOGY, 2010, 63 (04) : 907 - 936
  • [20] Developing human resource data risk management in the age of big data
    Calvard, Thomas Stephen
    Jeske, Debora
    [J]. INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT, 2018, 43 : 159 - 164