Role of technology enablers for implementation of HR analytics in the Indian IT sector: A mediation analysis

Rakesh Naik Vadithe & Bikrant Kesari

Human Systems Management2025https://doi.org/10.1177/01672533251314403article
ABDC C
Weight
0.53

What the paper says

Background Technological advancements offer the potential to transform HR practices, but the effectiveness of human resource (HR) analytics implementation remains contingent upon various technologies. Objective This study explores the impact of various technological enablers on implementing HR analytics within the Indian IT sector. Furthermore, the study explores the mediating effects of automated decision-making and managerial efficiency in the relationship between HR analytics and organizational performance. Methodology/design Drawing upon resource-based view (RBV) theory. Data was collected from 663 employees across various IT sectors in India. To validate the proposed model, PLS-SEM was utilized through Smartpls 4.0. Findings The findings show that technology enablers such as big data, chatbots, social media networks, and artificial intelligence have a positive impact on HR analytics implementation. Furthermore, the study reveals automated decision-making and managerial efficiency as partial mediators in the relationship between HR analytics and organizational performance. Conclusions This research contributes to the literature on HR analytics implementation and also provides actionable insights for practitioners and policymakers within organizations, ultimately fostering organizational excellence in a technology-driven era.

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https://doi.org/https://doi.org/10.1177/01672533251314403

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@article{rakesh2025,
  title        = {{Role of technology enablers for implementation of HR analytics in the Indian IT sector: A mediation analysis}},
  author       = {Rakesh Naik Vadithe & Bikrant Kesari},
  journal      = {Human Systems Management},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1177/01672533251314403},
}

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Evidence weight

0.53

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.70 × 0.15 = 0.10
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.