Proceedings of the International Conference on Artificial Intelligence in Management for Business and Industrial Growth (AIMBIG 2025)

<Previous Article In Volume
Next Article In Volume>

AI-Driven Sustainable Management Practices for Employee Engagement

Authors
T. S. Saranya1, T. L. Ashalatha3, Sandeep Kumar Gupta2, *
1Head of the Institute, AIBHAS, Amity University Bengaluru, Bengaluru, India
2Mohan Babu University, Tirupati, India
3Independent Researcher, Bengaluru, India
*Corresponding author. Email: skguptabhu@gmail.com
Corresponding Author
Sandeep Kumar Gupta
Available Online 18 November 2025.
DOI
10.2991/978-94-6463-898-1_27How to use a DOI?
Keywords
AI-driven management; employee engagement; sustainable HR practices; predictive analytics; DEI; work-life balance; ethical AI
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.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the International Conference on Artificial Intelligence in Management for Business and Industrial Growth (AIMBIG 2025)
Series
Advances in Economics, Business and Management Research
Publication Date
18 November 2025
ISBN
978-94-6463-898-1
ISSN
2352-5428
DOI
10.2991/978-94-6463-898-1_27How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - T. S. Saranya
AU  - T. L. Ashalatha
AU  - Sandeep Kumar Gupta
PY  - 2025
DA  - 2025/11/18
TI  - AI-Driven Sustainable Management Practices for Employee Engagement
BT  - Proceedings of the International Conference on Artificial Intelligence in Management for Business and Industrial Growth (AIMBIG 2025)
PB  - Atlantis Press
SP  - 391
EP  - 411
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-898-1_27
DO  - 10.2991/978-94-6463-898-1_27
ID  - Saranya2025
ER  -