Artificial Intelligence Applications and Human Resource Management Challenges in the Indian Automobile Industry: A Systematic Literature Review

Abstract

The increasing adoption of Artificial Intelligence (AI) is transforming Human Resource Management (HRM) practices across industries. In the Indian automobile sector, organizations are rapidly implementing AI-driven tools in recruitment, training, performance appraisal, and employee retention. However, this technological transformation also presents significant managerial, ethical, and organizational challenges. This study presents a systematic literature review (SLR) of existing research on AI applications in HRM, with a specific focus on the automobile industry in India. Using a PRISMA-based review protocol, peer-reviewed articles published between 2013 and 2024 were collected from Scopus and Web of Science databases. A total of 78 high-quality studies were analyzed to identify major themes, trends, and research gaps. The review reveals that while AI enhances efficiency, objectivity, and strategic HR decision-making (Stone et al., 2020; Lepak & Snell, 2018), it also raises concerns related to employee trust, algorithmic bias, data privacy, skill gaps, and organizational resistance (Kaur & Arora, 2021; Reddy & Kumar, 2021). Based on the findings, a conceptual framework is proposed to explain the relationship between AI applications and HRM challenges in the automobile sector. The study contributes to HRM and digital transformation literature and provides a future research agenda for scholars and practitioners in emerging economies.