Predictive HR analytics and talent management: a conceptual framework

R. Navodya Gurusinghe, Bhadra J. H. Arachchige and Dushar Dayarathna

Journal of Management Analytics, 2021, vol. 8, issue 2, 195-221

Abstract: Digitisation, new technologies and artificial intelligence demand organisations for new ways of working with a different skill set to accomplish strategic objectives. HR analytics is the scientific solution enabling organisations to make significant human capital and strategic business decisions and thereby gain a competitive advantage. However, theory-based relationships in HR analytics adoption is meagre. Further, there is a paucity of HR analytics literature on the role of contextual factors that affect organisations in building predictive HR analytics (PHRA) capability. Addressing this gap, we develop a conceptual framework through the lens of the Technological-Organisational-Environmental (TOE) framework and Resource-based theory to examine the relationships among the antecedents and consequences of PHRA capability considering talent management under the moderating effect of a data-driven culture. This paper is possibly the first study to propose a theoretical model to examine the effect of PHRA capability on talent management outcomes.

Date: 2021
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DOI: 10.1080/23270012.2021.1899857

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