AI-Driven Sustainable Management Practices for Employee Engagement

T. S. Saranya, T. L. Ashalatha and Sandeep Kumar Gupta ()
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T. S. Saranya: Head of the Institute, AIBHAS, Amity University Bengaluru
T. L. Ashalatha: Independent Researcher
Sandeep Kumar Gupta: Mohan Babu University

A chapter in Proceedings of the International Conference on Artificial Intelligence in Management for Business and Industrial Growth (AIMBIG 2025), 2025, pp 391-411 from Springer

Abstract: Abstract Artificial Intelligence (AI) is reshaping how organizations engage with employees, manage resources, and pursue sustainability. This paper reviews AI-driven sustainable management practices that influence employee well-being, work-life balance, career development, diversity, equity, and inclusion (DEI). Key tools such as predictive analytics, sentiment analysis, and automation are explored in the context of engagement and performance management. This study integrates multiple theoretical perspectives, including the Triple Bottom Line (TBL), Stakeholder Theory, and Self-Determination Theory (SDT). It also critically engages with ethical considerations such as algorithm bias and data privacy, highlighting their implications for organizational practice. With the combination of recommendations and illustrative case studies the research offers strategies for integrating artificial intelligence in ways that responsibly promote employee engagement and support sustainable development.

Keywords: AI-driven management; employee engagement; sustainable HR practices; predictive analytics; DEI; work-life balance; ethical AI (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-898-1_27

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DOI: 10.2991/978-94-6463-898-1_27

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