Angrave, D, Charlwood, A, Kirkpatrick, I et al. (2 more authors) (2016) HR and Analytics: Why HR is set to fail the big data challenge. Human Resource Management Journal, 26 (1). pp. 1-11. ISSN 0954-5395
Abstract
The HR world is abuzz with talk of big data and the transformative potential of HR analytics. This article takes issue with optimistic accounts which hail HR analytics as a ‘must have’ capability that will ensure HR’s future as a strategic management function while transforming organisational performance for the better. It argues that unless the HR profession wises up to both the potential and drawbacks of this emerging field, and engages operationally and strategically to develop better methods and approaches, it is unlikely that existing practices of HR analytics will deliver transformational change. Indeed, it is possible that current trends will seal the exclusion of HR from strategic, board level influence while doing little to benefit organisations and actively damaging the interests of employees.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 John Wiley & Sons Ltd. This is the peer reviewed version of the following article: Angrave, D., Charlwood, A., Kirkpatrick, I., Lawrence, M., and Stuart, M. (2016) HR and analytics: why HR is set to fail the big data challenge. Human Resource Management Journal, 26: 1–11. doi: 10.1111/1748-8583.12090, which has been published in final form at http://dx.doi.org/10.1111/1748-8583.12090. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving. |
Keywords: | HR analytics;big data;human resource information systems |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Business (Leeds) > Work and Employment Relation Division (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 12 Oct 2015 12:27 |
Last Modified: | 28 Jan 2018 01:38 |
Published Version: | http://dx.doi.org/10.1111/1748-8583.12090 |
Status: | Published |
Publisher: | Wiley |
Identification Number: | 10.1111/1748-8583.12090 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:90734 |