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Impact of Exponential Technologies on HR Analytics Adoption in Organizations: Evidence from India
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Impact of Exponential Technologies on HR Analytics Adoption in Organizations: Evidence from India
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Journal Article
Impact of Exponential Technologies on HR Analytics Adoption in Organizations: Evidence from India
2024
Overview
This paper explores the impact of advanced technologies on the adoption of human resource (HR) analytics in organizations, with a particular focus on the Indian context. Despite the growing importance of HR analytics for data-driven decision making, many organizations struggle to integrate these tools effectively. This paper addresses the problem of understanding how exponential technologies, such as chatbots, big data, machine learning (ML), artificial intelligence (AI), neural fuzzy networks and social media networks, can facilitate HR analytics adoption. Data collected from 669 HR managers were analyzed using partial least squares-structural equation modeling (PLS-SEM) with SmartPLS 4.0 to validate the research model. The findings reveal that these technologies significantly enhance the adoption of HR analytics, offering practical insights for HR practitioners and organizations seeking to leverage digital tools for competitive advantage. The uniqueness of the study lies in its comprehensive examination of the role of exponential technologies in overcoming the barriers to HR analytics adoption, making it a valuable addition to the existing literature.
Publisher
IUP Publications
