Edwards, MR, Charlwood, A orcid.org/0000-0002-5444-194X, Guenole, N et al. (1 more author)
(2024)
HR Analytics: An emerging field finding its place in the world alongside simmering ethical challenges.
Human Resource Management Journal, 34 (2).
pp. 326-336.
ISSN 0954-5395
Abstract
HR analytics is an emerging field attracting substantial practitioner and academic attention. This article introduces the special issue on HR Aanalytics for the HRMJ. Several recent reviews in the area have struggled to find HR analytics research in the published literature and a key aim of this special issue is to show case high quality analytic projects and cutting-edge analytic techniques to contribute to this emerging subfield of HRM. Before considering the papers in the special issue, we reflect on two key challenges in the area: First, HR analytics is not a recognized keyword, this makes it difficult to categorise and identify HR analytics research in the field. Second, there are a growing number of reviews of a field that has a limited range of recognised examples of empirical papers to draw on. We discuss the difficulties and potential political sensitivities for practitioners seeking to publish ‘within firm’ HR analytics projects. We also consider the growing recognition that organisations engaging in HR analytics projects have a range of ethical challenges to deal with going forward.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 John Wiley & Sons Ltd. This is the peer reviewed version of the following article: Edwards, M. R., Charlwood, A., Guenole, N., & Marler, J. (2022). HR analytics: An emerging field finding its place in the world alongside simmering ethical challenges. Human Resource Management Journal, 34(2), 326–336, which has been published in final form at https://doi.org/10.1111/1748-8583.12435. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited. |
Keywords: | ethics; HR analytics; multi-level modelling; people analytics; quantitative data; strategic HRM; textual analysis |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Business (Leeds) > Management Division (LUBS) (Leeds) > Management Division Organizational Behaviour (LUBS) |
Depositing User: | Symplectic Publications |
Date Deposited: | 21 Jan 2022 11:13 |
Last Modified: | 23 May 2024 14:38 |
Status: | Published |
Publisher: | Wiley |
Identification Number: | 10.1111/1748-8583.12435 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:182675 |