IJCOPE Journal

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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
Journal Information
ISSN: 3108-1754 (Online)
Crossref DOI: Available
ISO Certification: 9001:2015
Publication Fee: 599/- INR
Compliance: UGC Journal Norms
License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 05

Published on: May 2026

EMPLOYEE WELL-BEING AND AI-BASED STRESS MANAGEMENT:AN EXTENSIVE REVIEW OF LITERATURE

Dr. Namika Patel Dr Aunkita Sharma Prarthana Pai

School of Management JG University

Article Status

Plagiarism Passed Peer Reviewed Open Access

Available Documents

Abstract

Employee well-being has become a critical concern for organizations across the globe due to rising job demands, technological advancement, competitive work environments, and changing employment structures. High levels of workplace stress adversely affect employee health, productivity, engagement, and overall organizational performance. In recent years, Artificial Intelligence (AI) has emerged as a transformative tool for managing workplace stress by enabling real-time monitoring, predictive analysis, and personalized interventions. This review paper synthesizes existing research on employee well-being and AI-based stress management systems. It explores conceptual foundations, emerging trends, practical applications, benefits, and ethical challenges associated with AI adoption. By reviewing scholarly literature, the paper identifies key findings and offers recommendations for responsible and effective implementation of AI-driven stress management practices in organizations.

Keywords: Employee Well-being, Workplace Stress, Artificial Intelligence, Stress Management Systems, Organizational Performance

How to Cite this Paper

Patel, N., Sharma, D. A. & Pai, P. (2026). Employee Well-Being and AI-Based Stress Management:An Extensive Review of Literature. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(05). https://doi.org/10.55041/ijcope.v2i5.506

Patel, Namika, et al.. "Employee Well-Being and AI-Based Stress Management:An Extensive Review of Literature." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i5.506.

Patel, Namika,Dr Sharma, and Prarthana Pai. "Employee Well-Being and AI-Based Stress Management:An Extensive Review of Literature." International Journal of Creative and Open Research in Engineering and Management 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i5.506.

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References


  1. Bibi, M. T. (2025). Exploring the impact of AI capabilities on employee well-being: A mediated moderation analysis. SAGE Open, 15(3).

  2. Guo, R. K. (2025). Reframing Stress Management in Digitized Workplaces: The Mediating Role of AI-Enabled Ease of Use. International Journal of Academic Research in Business and Social Sciences, 15(6).

  3. Henkel, A. P. (2020). Half human, half machine–augmenting service employees with AI for interpersonal emotion regulation. Journal of Service Management, 31(2), 247-265.

  4. Majumder, S. &. (2025). AI in Workplace Wellness Programs. In AI-Driven Wellbeing to Enhance Lives and Work Environments . Springer Nature Switzerland, 59-75.

  5. Naik, K. G. (2025). AI-driven burnout detection and eco-volunteering: A sustainable employee well-being model. International Journal of Environmental Sciences, 11(9s), 697-702.

  6. Sadeghi, S. (2024). Employee well-being in the age of AI: Perceptions, concerns, behaviors, and outcomes.

  7. Singh, S. &. (2024). AI-based personality prediction for human well-being from text data: a systematic review. Multimedia Tools and Applications.

  8. Vats, S. &. (2026). A Multilevel Review of Artificial Intelligence and Employee Well-Being in Organizations. Journal of Marketing & Social Research, 207-221.

Ethical Compliance & Review Process

  • All submissions are screened under plagiarism detection.
  • Review follows editorial policy.
  • Authors retain copyright.
  • Peer Review Type: Double-Blind Peer Review
  • Published on: May 17 2026
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