4.7 Article

Examining the determinants of successful adoption of data analytics in human resource management - A framework for implications

Journal

JOURNAL OF BUSINESS RESEARCH
Volume 131, Issue -, Pages 311-326

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.jbusres.2021.03.054

Keywords

Human resource analytics; HRM analytics; People analytics; Adoption of HR analytics; Challenges; Implementation of HR analytics; Big data; Data analytics; Framework synthesis

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This study examines the application and challenges of HR Analytics in organizations, presents a framework of factors impacting the adoption of HRA, and identifies key aspects and sub-dimensions crucial for successful implementation of HRA.
Data analytics has gained importance in human resource management (HRM) for its ability to provide insights based on data-driven decision-making processes. However, integrating an analytics-based approach in HRM is a complex process, and hence, many organizations are unable to adopt HR Analytics (HRA). Using a framework synthesis approach, we first identify the challenges that hinder the practice of HRA and then develop a framework to explain the different factors that impact the adoption of HRA within organizations. This study identifies the key aspects related to the technological, organizational, environmental, data governance, and individual factors that influence the adoption of HRA. In addition, this paper determines 23 sub-dimensions of these five factors as the crucial aspects for successfully implementing and practicing HRA within organizations. We also discuss the implications of the framework for HR leaders, HR Managers, CEOs, IT Managers and consulting practitioners for effective adoption of HRA in organization.

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