Human Resources Management After Industry 4.0

Abstract

Artificial intelligence (AI) continues to be a puzzling hypothesis, and it's probable that philosophical zeal might have influenced service standards of AI far beyond reality. This chapter contributes to the domain of AI in HRM, gives in depth theoretical analysis of the field, and opens up new avenues for researchers to examine. While analysis found that AI technologies like machine learning (ML), natural language processing (NLP), machine vision and recommendation systems are being used in HRM functions for distinctive uses. Analysis of the literature also revealed that automation, cost optimisation, and technological development acts as enablers for AI incorporation in HRM domain. Lack of skills, unrealistic standards, privacy and security, and job obsolescence are the factors that act as hindrances during adoption of AI-systems in HRM. Study also revealed that the major applications of AI in HRM are in screening and hiring process; automated induction process; skill development and training; decision making; queries and feedback ; performance appraisal; and employee involvement.

The Machine Learning-Based Task Automation Framework for Human Resource Management in MNC Companies

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“…The value of human involvement and efficient automation are in conflict. However, as automated systems become more advanced, the role of humans in managing and organizing them becomes even more crucial (Anayat, 2023). It is essential to determine the appropriate level of automation based on specific needs.…”