Author:
Dwivedi Pushkar,Shanker Gupta Laxmi
Abstract
The convergence of digital, biological, and physical breakthroughs is ushering in the Fourth Industrial Revolution, which has significant implications for Human Resource Management (HRM). The integration of cutting- edge technologies like artificial intelligence (AI), machine learning, the Internet of Things (IoT), and big data analytics into HR activities is the main subject of this study, which examines the revolutionary effects of Industry 4.0 on HRM practices. The research delves into how these technologies enhance recruitment processes, employee engagement, performance management, and skills development. It also examines the challenges and opportunities associated with the digital transformation of HRM, including issues related to cybersecurity, data privacy, and the need for continuous upskilling of the workforce. Using a combination of quantitative employee surveys from various sectors and personal conversations with HR professionals, the study adopts a mixed-methods approach. Key findings indicate that AI-driven tools significantly improve the efficiency and accuracy of candidate selection and onboarding, while IoT and big data analytics provide deeper insights into employee performance and organizational health. Moreover, digital platforms enhance employee engagement and facilitate remote working, which has become increasingly relevant in the post-pandemic era. However, the study also identifies challenges, such as resistance to change, the digital divide, and ethical concerns related to data usage. The research concludes that successful HRM in the context of Industry 4.0 requires a strategic blend of technological adoption and human-centric approaches, emphasizing the importance of a continuous learning culture and ethical frameworks to navigate the evolving digital landscape. These insights provide a roadmap for HR professionals to leverage Industry 4.0 technologies to drive organizational growth and employee satisfaction.
Publisher
International Journal of Innovative Science and Research Technology
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