Predictive HR analytics and talent management:a conceptual framework  

作　　者：R.Navodya Gurusinghe Bhadra J.H.Arachchige Dushar Dayarathna 

机构地区：[1]Department of Human Resource Management,University of Sri Jayewardenepura,Nugegoda,Sri Lanka

出　　处：《Journal of Management Analytics》2021年第2期195-221,共27页管理分析学报（英文）

摘　　要：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.

关 键 词：HR analytics adoption predictive HR analytics capability management analytics Resource-Based theory TOE framework talent management contextual factors 

分 类 号：F41[经济管理—产业经济]