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The Role of AI in Emotion Regulation for Sustainable Organizational Growth: A Systematic Review

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

Author

Listed:
  • T. S. Saranya

    (Head of the Institute, AIBHAS, Amity University Bengaluru)

  • Kevimeno Kiso

    (Independent Researcher)

  • Sandeep Kumar Gupta

    (Mohan Babu University)

  • Anuvinda Sadanandan

    (Independent Researcher)

  • Supreeta Patil

    (Independent Researcher)

  • Pooja Goel

    (Noida International University)

  • Nidhi Tewatia

    (Noida International University)

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.

Suggested Citation

  • T. S. Saranya & Kevimeno Kiso & Sandeep Kumar Gupta & Anuvinda Sadanandan & Supreeta Patil & Pooja Goel & Nidhi Tewatia, 2025. "The Role of AI in Emotion Regulation for Sustainable Organizational Growth: A Systematic Review," Advances in Economics, Business and Management Research, in: Preeti Sharma & Sweta Pareek & Sourav Banerjee (ed.), Proceedings of the International Conference on Artificial Intelligence in Management for Business and Industrial Growth (AIMBIG 2025), pages 383-390, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-898-1_26
    DOI: 10.2991/978-94-6463-898-1_26
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