Determinants and Dimensions of Sustainable HR Analytics: A Conceptual Model

The main objective of the research reported in this paper is to identify the factors that influence the application of sustainable HR analytics and its consequent impact on enhancing organizational performance. Based on the findings of the present study, the researchers have developed the novel BOOS...

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Veröffentlicht in:South Asian journal of management 2024-11, Vol.31 (3), p.86-110
Hauptverfasser: Opatha, H H D P J, Dayarathna, N W K D K
Format: Artikel
Sprache:eng
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Zusammenfassung:The main objective of the research reported in this paper is to identify the factors that influence the application of sustainable HR analytics and its consequent impact on enhancing organizational performance. Based on the findings of the present study, the researchers have developed the novel BOOSTER HR Analytics Model, grounded in the concept of sustainable HR analytics. For developing this novel model, the researchers examined a wide array of cited and indexed joumal articles and critically analyzed frameworks like the Technology, Organization, and Environment (TOE) framework and the People Analytics Effectiveness Wheel. The study revealed that the combined influence of Business strategy alignment, Exceptional competencies of HR professionals, Timely investments in HR analytics, Supportive employees, Top management backing, Ethical data governance, and a Culture of research significantly impacts the application of sustainable HR analytics, which in turn would enhance organizational performance. An additional contribution of this paper is that it delineates the dimensions of sustainable HR analytics applications, namely: green HR analytics, socially responsible НК analytics, and economic HR analytics, and discusses specific HR analytics applications under each dimension. This paper, therefore, makes an important contribution to the theory of HR analytics, as it not only identifies the factors influencing sustainable HR analytics but also elucidates the essential components of sustainable HR analytics.
ISSN:0971-5428
2584-007X
DOI:10.62206/sajm.31.3.2024.86-110