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

Sateesh.V. Shet, Tanuj Poddar, Fosso Wamba Samuel and Yogesh K. Dwivedi

Journal of Business Research, 2021, vol. 131, issue C, 311-326

Abstract: 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.

Keywords: Human resource analytics; HRM analytics; People analytics; Adoption of HR analytics; Challenges; Implementation of HR analytics; Big data; Data analytics; Framework synthesis (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:jbrese:v:131:y:2021:i:c:p:311-326

DOI: 10.1016/j.jbusres.2021.03.054

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