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, Yogesh K. Dwivedi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

48 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)311-326
Number of pages16
JournalJournal of Business Research
Volume131
Early online date25 Apr 2021
DOIs
Publication statusPublished - 1 Jul 2021
Externally publishedYes

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