HR Analytics : The onto-epistemology and politics of metricised HRM

Greasley, Kay and Thomas, Pete (2020) HR Analytics : The onto-epistemology and politics of metricised HRM. Human Resource Management Journal, 30 (4). pp. 494-507. ISSN 0954-5395

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Abstract

The development of HR analytics, the growing dominance of positivistic approaches in academic HRM, and the increasing influence of evidence-based approaches on HR represent a convergence of contextual factors that have the potential to influence HR practice significantly. In this context, we examine how the HR analytics ‘project’ may unfold based on a reflective analysis of a number of data-rich wellbeing projects and empirical evaluations. We focus on the ways in which participants may become enrolled and mobilised in such projects, and the implications this has for perceived value and effects of ‘data’ generated by HR analytics. In particular, we draw attention to the social, political and onto-epistemological processes of the analytics project, and draw conclusions about the way in which the analytics project may influence professional practice.

Item Type:

Journal Article

Journal or Publication Title:

Human Resource Management Journal

Additional Information:

This is the peer reviewed version of the following article: Greasley, K, Thomas, P. HR analytics: The onto‐epistemology and politics of metricised HRM. Human Resource Management Journal. 2020. doi: 10.1111/jpim.12206 which has been published in final form at https://onlinelibrary.wiley.com/doi/abs/10.1111/1748-8583.12283 This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.

Uncontrolled Keywords:

/dk/atira/pure/subjectarea/asjc/1400/1407

Subjects:

?? organizational behavior and human resource management ??

Departments:

Lancaster University Management School > Organisation, Work & Technology

ID Code:

140177

Deposited By:

ep_importer_pure

Deposited On:

08 Jan 2020 16:40

Refereed?:

Yes

Published?:

Published

Last Modified:

21 Dec 2023 00:22

URI:

https://eprints.lancs.ac.uk/id/eprint/140177