The Role of AI in Emotion Regulation for Sustainable Organizational Growth: A Systematic Review
- DOI
- 10.2991/978-94-6463-898-1_26How to use a DOI?
- Keywords
- Cognitive computing; Cooperate development; Enduring; Sentiments; Quality of life
- Abstract
This paper provides a thorough exploration of current research trends on how AI-based emotion regulation helps in sustainable organizational growth. AI tools like affective computing, sentiment analysis, and emotion recognition enable real-time monitoring of emotions. Emotions related to mental health, leadership, and workplace resilience strategies. Looking at studies in psychology, management, technology indicate that these AI tools can help human beings in many ways. It showed reducing workplace stress, increasing productivity, and improving human resource practices. Although certain ethical concerns remain such as data privacy and security, algorithmic bias. This paper stresses the importance of tackling such issues while applying AI-based emotion management. AI can aid in building organizations that are emotionally balanced and productive sustainably. To make the most of AI’s benefits in organizational context, various ongoing research is crucial to improve ethical guidelines.
- 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
TY - CONF AU - T. S. Saranya AU - Kevimeno Kiso AU - Sandeep Kumar Gupta AU - Anuvinda Sadanandan AU - Supreeta Patil AU - Pooja Goel AU - Nidhi Tewatia PY - 2025 DA - 2025/11/18 TI - The Role of AI in Emotion Regulation for Sustainable Organizational Growth: A Systematic Review BT - Proceedings of the International Conference on Artificial Intelligence in Management for Business and Industrial Growth (AIMBIG 2025) PB - Atlantis Press SP - 383 EP - 390 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-898-1_26 DO - 10.2991/978-94-6463-898-1_26 ID - Saranya2025 ER -