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Predictive HR analytics and talent management:a conceptual framework 被引量:1
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作者 r.navodya gurusinghe Bhadra J.H.Arachchige Dushar Dayarathna 《Journal of Management Analytics》 EI 2021年第2期195-221,共27页
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 org... 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. 展开更多
关键词 HR analytics adoption predictive HR analytics capability management analytics Resource-Based theory TOE framework talent management contextual factors
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