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Articles

Big data contributions to human resource management: a systematic review

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Pages 4337-4362 | Received 13 Dec 2018, Accepted 02 Sep 2019, Published online: 09 Oct 2019
 

Abstract

Big Data (BD) has become a valuable resource for companies. Publications on BD have grown enormously but scholarly work is scarce. The present review aims to systematise the academic inputs so far and to clarify what is the novelty of BD, what are its implications and challenges for HRM practices, and in which HR practice systems the main contributions are. In a systematic search of more than 1,500 documents, we found 41 articles studying BD in Human Resource Management (HRM). Results show that BD means a new approach and methodology to manage data on employees and numerous opportunities for HRM, but also important challenges at a technological, methodological and ethical level. Five main clusters of HR practice systems have been identified, concentrating the largest number of papers in the cluster of ​​information, learning and knowledge and in the cluster of ​​strategy, efficiency and performance, suggesting a trend in the studies that is explained by the nature and characteristics of the BD. The steps to carry out BD projects are described. The main contributions of the BD in each area are described and future research avenues are outlined.

Disclosure statement

The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

This article is part of the following collections:
David Lepak Award for Best Paper by an Early-Career Researcher

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