Impact Of Artificial Intelligence in Human Resource Management: A Comparative Study of Samsung, Xiaomi, Apple and Vivo
DOI:
https://doi.org/10.64882/ijrt.v14.iS1.1059Keywords:
AI, HRM, digital HR, talent analytics, employee commitment, comparative studyAbstract
Artificial Intelligence (AI) has become a disruptive technology, which is shaping the organization structure, managerial decision making and the work force management practices. Recent years have seen a transformation of HRM from an administrative and transactional function to a strategic and data driven one, influenced in part by the rise of AI technology. This paper, A Comparative Study of Human Resource Management Practice in Vietnamese and Other Asian Smartphone Companies Focusing on Artificial Intelligence (AI) Impact, discusses AI influence on HRM via comparison analysis among four MNCs: Samsung; Xiaomi Inc.; Apple and Vivo. The research adopts a qualitative and descriptive methodology, based on secondary data collected using companies’ disclosure, industry reports and academic studies. It assesses the use of AI in HR processes and pilot projects across upstream/resourcing activities such as recruitment and selection, midstream/ upskilling and reskilling (as part of training and development), downstream/coaching, evaluation (performance management & employee engagement) as well internal talent acquisition for workforce planning. Results indicate that AI substantially improves HR effectiveness, decision quality, and strategic congruence. Yet, the spread and application of AI differs among companies due to business strategy, corporate culture, ethical considerations and governance. Samsung focuses on creating a large-scale workforce analytics, Apple’s AI is ethical and putting employee welfare at the core; Xiaomi is placing more emphasis on automation and operational efficiency while Vivo prefers to keep a balance between engagement and performance optimization. The paper concludes that although AI provides many opportunities for HRM, its promise will only be achieved by responsible implementation, ethical governance, and supportive human/community-AI partnership.
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