Business Intelligence Management Studies

Artificial Intelligence in Human Resource Management with a Positive Approach: A Framework for Employee Flourishing

Document Type : Research Paper

Authors

Minasadat Mousavi 1
Abbas ali Rastgar 2
Mohsen Shafiei Nikabadi 3

1 Doctoral student, Faculty of Economics, Management and Administrative Sciences, Semnan University, Semnan, Iran

2 Professor Faculty of Economics management and administrative sciences, Semnan university, Semnan, IranCorresponding Author: a_rastgar@semnan.ac.ir

3 Professor Faculty of Economics management and administrative sciences, Semnan university, Semnan, Iran

https://doi.org/10.22054/ims.2025.86244.2626
Abstract
Purpos:This study aims to elucidate the mechanisms through which artificial intelligence (AI) impacts human resource management (HRM) from a positive psychology perspective and to propose a hierarchical framework for enhancing employee flourishing.
Method:The applied-developmental research employed a mixed-methods approach. The sample consisted of 15 experts in AI and HRM selected via purposive sampling. Data were collected through semi-structured interviews using an interview guide. Thematic analysis and Interpretive Structural Modeling (ISM) were applied for data analysis.
Findings:A five-layer framework was developed encompassing strategic drivers, technological enablers, positive psychological constructs, learning processes, and organizational outcomes. The framework highlights that successful AI adoption requires integrating technological capabilities, algorithmic fairness, and psychological support for employees.
Innovation:This research fills a gap in the smart HRM literature by offering a comprehensive, synergistic model that integrates strategic, technological, and psychological dimensions.
Conclusion: AI implementation alone is insufficient; it must be accompanied by robust strategic infrastructure, data governance, and psychological empowerment to achieve simultaneous human flourishing and organizational productivity. The proposed framework serves as a practical guide for managers and a foundation for future quantitative studies.

Keywords

Artificial intelligence and Human resource management
Psychological capital
Algorithmic fairness
Talent retention
Career advancement
Subjects
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‌ ‌استناد به این مقاله: موسوی، میناسادات.، رستگار، عباسعلی.، شفیعی نیک‌آبادی، محسن. (1404). هوش‌مصنوعی در مدیریت منابع انسانی با رویکرد مثبت‌گرا: چارچوبی برای شکوفایی کارکنان، مطالعات مدیریت کسب وکار هوشمند، 14(54)، 175-216. DOI: 10.22054/ims.2025.86244.2626

 Journal of Business Intelligence Management Studies is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License..

Business Intelligence Management Studies
Volume 14, Issue 54
Autumn 2026
Pages 175-216

  • Receive Date 02 June 2025
  • Revise Date 15 July 2025
  • Accept Date 11 August 2025

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