International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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HR Analytics in Indian Medium-Sized Manufacturing Enterprises: A Resource-Adaptive Implementation Framework

Author(s) Ms. Aaditi Subhash Rajguru
Country India
Abstract Human Resource (HR) analytics has emerged as a strategic tool for improving workforce decision-making and organizational performance. However, existing research and implementation models are largely designed for large organizations and offer limited guidance for medium-sized manufacturing enterprises (MMEs), particularly in the Indian context. Indian MMEs face unique challenges such as limited financial resources, informal HR systems, lack of analytical skills, and resistance to data-driven decision-making. This study addresses this gap by developing a resource-adaptive HR analytics implementation framework tailored for Indian medium-sized manufacturing enterprises. The study adopts a systematic literature review approach, synthesizing findings from peer-reviewed journal articles and industry reports published between 2020 and 2025. The analysis identifies three dominant barriers to HR analytics adoption: resource constraints, analytical capability gaps, and organizational culture resistance. Drawing on the Resource-Based View and Adaptive Structuration Theory, the study proposes a phased framework that emphasizes leadership commitment, cloud-based HR technologies, incremental capability development, and continuous value creation. The proposed framework provides a practical and scalable roadmap for HR managers and business leaders in Indian manufacturing firms seeking to adopt HR analytics in a cost-effective and sustainable manner
Keywords HR Analytics, Indian Manufacturing Enterprises, Medium-Sized Enterprises, HR Technology, Evidence-Based HRM
Field Business Administration
Published In Volume 8, Issue 1, January-February 2026
Published On 2026-02-15
DOI https://doi.org/10.36948/ijfmr.2026.v08i01.68419
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E-ISSN 2582-2160
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