Document Type : Research Paper
Authors
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
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
Main Subjects
- احمدی، س. (۱۴۰۲). تحلیل ادراک کارکنان از سامانههای هوشمصنوعی در مدیریت منابع انسانی. فصلنامه مدیریت منابع انسانی نوین، ۱۵ (۲)، ۳۵–۵۸.
- بیدختی، م.، رضوانی، ر. و قنواتی، س. (۱۴۰۱). بررسی تطبیقی پیامدهای استقرار هوشمصنوعی در عملکرد منابع انسانی. پژوهشهای نوین در مدیریت، ۲۱ (۴)، ۸۹–۱۰۸.
- صادقی، م. (۱۴۰۳). نقش حمایت از خودمختاری در کاهش استرس فناورانه و پذیرش فناوریهای نوین. مجله روانشناسی کاربردی، ۱۸ (۱)، ۲۵–۴۷.
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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
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