How Human Resource Managers Can Utilize AI to Promote Employee Well-Being

Author:

Chaudhary Meena1ORCID,Sharma Dipanker1ORCID,Dhiman Mohinder Chand1ORCID,Chaudhary Ankita1

Affiliation:

1. Central University of Himachal Pradesh, India

Abstract

Artificial intelligence (AI) offers both opportunities and difficulties. In addition to significantly enhancing industrial efficiency, these technologies also have mixed or adverse influences on employee well-being. Understanding the influence of AI on employee well-being is essential given the increasing use of these technologies across HRM domains. This study raises a crucial question: Does artificial intelligence influence employee well-being? Job satisfaction, stress, overall health, and job security are considered essential dimensions of well-being. This study suggests that, even though AI can improve employee well-being, caution can be taken to address concerns and ensure a positive work atmosphere in organizations. Managers and leaders can utilize their agency significantly by influencing working conditions, technological adoptions, and AI in the interest of employee welfare. Organizational support and training programs can be relevant in reducing the negative effects of AI on employee well-being.

Publisher

IGI Global

Reference92 articles.

1. Trends and opportunities of artificial intelligence in human resource management: Aspirations for the public sector in Bahrain.;M. M.Abdeldayem;International Journal of Scientific and Technology Research,2020

2. Positive psychology: Past, present, and (possible) future

3. Measuring employees' psychological capital using data mining approach

4. HR and analytics: why HR is set to fail the big data challenge

5. Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

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