Human Resource Managers' Perceptions Towards the Implementation of Blockchain Technology in the Automobile Industry: A Qualitative Study
Автор: Priya Chanda, Pritpal Singh, Sukanta Ghosh
Журнал: International Journal of Information Engineering and Electronic Business @ijieeb
Статья в выпуске: 6 vol.17, 2025 года.
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This qualitative study explores human resource managers' perceptions of blockchain technology adoption within the automobile sector in Punjab, India. Based on semi-structured interviews with HR managers from 52 organizations, the research uncovers critical insights into blockchain's potential benefits and challenges. The findings reveal that 80% of participants recognize blockchain’s ability to enhance data security, improve operational transparency, and streamline processes such as recruitment and supply chain management. For instance, blockchain’s ability to automate credential verification is perceived to reduce recruitment time by up to 30%. However, significant barriers impede adoption. Approximately 70% of HR managers cited technical complexity and a lack of in-house expertise as primary challenges, while 60% expressed concerns about high implementation costs and the absence of a clear regulatory framework. Furthermore, 50% highlighted resistance to change among employees as a critical obstacle. The study emphasizes the importance of targeted training programs to address skill gaps, strategic planning to manage high costs, and effective change management strategies to reduce resistance. These findings underscore the transformative potential of blockchain technology to improve HR efficiency and organizational performance while highlighting the need for addressing adoption barriers to unlock its full benefits. This research provides actionable insights for the automobile industry, contributing to academic discourse and offering a roadmap for blockchain integration into HR practices.
Blockchain Technology, Human Resource Management, Automobile Industry, Qualitative Study, Organizational Change
Короткий адрес: https://sciup.org/15020073
IDR: 15020073 | DOI: 10.5815/ijieeb.2025.06.07