مطالعات نوین در مدیریت و سازمان

مطالعات نوین در مدیریت و سازمان

Preparing Human Resource Managers for the Integration of Artificial Intelligence in Organizations

نوع مقاله : مقاله پژوهشی | انگلیسی

نویسنده
Department of Public Management - Decision Making and Public Policy, CT.C., Islamic Azad University, Tehran, Iran.
چکیده
Purpose: This study identifies critical success factors for managing organizational transformations caused by integrating Artificial Intelligence (AI) into Human Resource Management (HRM).
Methodology: A mixed-method approach was employed in 2025. Data were collected through semi-structured group interviews with 20 experts in HRM, AI, psychology, and ethics, selected via snowball sampling. Extracted codes were validated using open-ended questionnaires. Thematic analysis (open, axial, and selective coding) was applied, and inter-researcher reliability was confirmed using Cohen's Kappa coefficient (κ = 0.7368).
Findings: The analysis revealed five core areas requiring intervention: management style, human resources, organizational structure, human relations, and organizational behavior. These were refined into ten validated strategic codes, including cultural localization, psychological empowerment, ethical framework development, and anticipation of emerging challenges.
Conclusion: This research provides a culturally sensitive framework for AI integration in HRM, emphasizing psychological and behavioral dimensions often neglected in prior studies. It offers HR managers a practical roadmap to navigate AI adoption while preserving human dignity and organizational values. Successful AI integration requires deliberate interventions across multiple organizational dimensions, not merely technological upgrades.
کلیدواژه‌ها
موضوعات

Aaltonen, M. (2025). How HR professionals' attributes influence the adoption of AI in talent acquisition within MNCs [Master's thesis, University of Oulu]. https://urn.fi/URN:NBN:fi-fe2025031919333
Aguilar-Cruz, P. J., & Salas-Pilco, S. Z. (2025). Teachers' perceptions of artificial intelligence in Colombia: AI technological access, AI teacher professional development and AI ethical awareness. Technology, Pedagogy and Education, 1–20. https://doi.org/10.1080/1475939X.2025.2451865
Ahmed, M. (2025). Artificial intelligence in public administration: Challenges and opportunities. International Journal of Public Administration, 48(2), 112–128.
Aish, A., & Noor, N. (2025). E-government procurement challenges in developing countries. Journal of Public Procurement, 25(1), 45–67.
Akour, I., Alzyoud, M., Alquqa, E. K., Tariq, E., Alzboun, N., Al-Hawary, S. I. S., & Alshurideh, M. T. (2024). Artificial intelligence and financial decisions: Empirical evidence from developing economies. International Journal of Data and Network Science, 8(1), 101–108. https://doi.org/10.5267/j.ijdns.2023.10.013
Al-Hawamleh, A. (2024). Smart governance and AI adoption in public sector: A review. Journal of Smart Cities, 12(3), 89–106.
Ali, M., Akter, M., Islam, M., & Mridha, M. (2025). AI adoption in public services: User trust and regulatory concerns. Government Information Quarterly, 42(1), 101–119.
Amie-Ogan, O. T. (2025). Artificial intelligence (AI) as a paradigm shift in retooling human resource cycle operations for staff productivity in Nigerian universities. International Journal of Educational Management, 1(2), 90–104. https://ijedm.com/index.php/ijedm/article/view/147
Avery, M., Leibbrandt, A., & Vecci, J. (2024). Does artificial intelligence help or hurt gender diversity? Evidence from two field experiments on recruitment in tech [Working paper]. Monash University.
Awaludin, M., Yasin, V., & Risyda, F. (2024). The influence of artificial intelligence technology, infrastructure and human resource competence on internet access networks. Inform: Jurnal Ilmiah Bidang Teknologi Informasi Dan Komunikasi, 9(2), 111–120.
Bezuidenhout, C., Abbas, R., Mehmet, M., & Heffernan, T. (2025). Artificial intelligence in professional services: A systematic review and foundational baseline for future research. Journal of Information & Knowledge Management, 2550009. https://doi.org/10.1142/S0219649225500091
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101.
Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE Publications.
Daryono, D., Gunawan, R. S., & Gunawan, D. S. (2025). The role of professional culture: Enhancing engagement and organizational performance in Islamic social entrepreneurship. Contaduría y Administración, 70(2), 499–519.
Debrah, C., Chan, A. P., & Darko, A. (2022). Artificial intelligence in green building. Automation in Construction, 137, 104192. https://doi.org/10.1016/j.autcon.2022.104192
Deep Smith, J. (2025). The role of artificial intelligence with Stockholm syndrome in B2B purchasing: Why do customers stick with mediocre suppliers? Journal of Business Research, 188, 115–130.
Djatmiko, D., Rahayu, R., & Putri, N. (2025). AI-driven personalization in HRM: Impact on workforce engagement and satisfaction. Human Resource Management Journal, 35(2), 220–240.
Dodig-Crnkovic, G. (2006). Professional ethics in computing and intelligent systems. In Proceedings of the Ninth Scandinavian Conference on Artificial Intelligence (pp. 17–24). Helsinki, Finland.
Dovespike, D., Taylor, M., & Shultz, K. (2025). Artificial intelligence and the future of HRM: Opportunities and challenges. Journal of Applied Psychology, 110(1), 1–15.
Farooq, M., Ramzan, M., & Yen, Y. Y. (2025). AI in management: Ethical and practical considerations. In AI and Management (pp. 1–20). IGI Global.
Ghosh, S., Saini, M., & Barad, A. (2025). Challenges of AI adoption in public sector organizations. Public Management Review, 27(3), 345–367.
Giudici, P., Centurelli, M., & Turchetta, S. (2023). Artificial intelligence risk measurement. Expert Systems with Applications, 235, 121220. https://doi.org/10.1016/j.eswa.2023.121220
Grzybowski, A., Jin, K., & Wu, H. (2024). Challenges of artificial intelligence in medicine and dermatology. Clinics in Dermatology, 42(3), 210–215. https://doi.org/10.1016/j.clindermatol.2023.12.013
Güler, E., Demir, M., & Yilmaz, S. (2025). Smart government and AI: Enablers and barriers. Journal of Public Administration, 48(4), 567–589.
Habbal, A. (2024). Social surveillance through AI: Ethical and legal implications. AI and Society, 39(2), 789–801.
Jovari, B. (2024). Artificial intelligence ethics in organizational human resources management. International Journal of Management, Accounting & Economics, 11(7), 930–950. https://doi.org/10.5281/zenodo.12752414
Jovari, B. (2025). Electronic human resources management in the shadow of artificial intelligence and electronic government. International Journal of Management, Accounting & Economics, 12(1), 128–153. https://doi.org/10.5281/zenodo.14907939
Kelm, K., & Johann, M. (2025). Artificial intelligence in corporate communications: Determinants of acceptance and transformative processes. Corporate Communications: An International Journal, 30(1), 124–138.
Kierans, C., & Padilla-Altamira, C. (2024). Failing kidneys: Hotspots, blind spots and biopolitics of indifference. Medical Anthropology Quarterly, 38(1), 24–39. https://doi.org/10.1111/maq.12820
Klarin, A., Ali Abadi, H., & Sharmelly, R. (2024). Professionalism in artificial intelligence: The link between technology and ethics. Systems Research and Behavioral Science, 41(4), 557–580. https://doi.org/10.1002/sres.2994
Landis, J. R., & Koch, G. G. (1977). The measurement of observer agreement for categorical data. Biometrics, 33(1), 159–174.
Laux, J., Wachter, S., & Mittelstadt, B. (2024). Trustworthy artificial intelligence and the European Union AI act: On the conflation of trustworthiness and acceptability of risk. Regulation & Governance, 18(1), 3–32. https://doi.org/10.1111/rego.12512
Lee, A. K. W., Chan, L. K. W., Lee, C. H., Bohórquez, J. M. C., Haykal, D., Wan, J., & Yi, K. H. (2025). Artificial intelligence application in diagnosing, classifying, localizing, detecting and estimation the severity of skin condition in aesthetic medicine: A review. Dermatological Reviews, 6(1), e70015. https://doi.org/10.1002/der2.70015
Mabrouk, A. (2025). Human resource management in the age of artificial intelligence: Concepts, tools and steps. Solo International Collaboration and Publication of Social Sciences and Humanities, 3(1), 1–12. https://doi.org/10.61455/sicopus.v3i1.216
Madanchian, M., & Taherdoost, H. (2025). Barriers and enablers of AI adoption in human resource management: A critical analysis of organizational and technological factors. Information, 16(1), 51–72.
Mahant, R. (2025). Artificial intelligence in public administration: A disruptive force for efficient e-governance. Machine Intelligence Research, 19(1), 144–154. https://machineintelligenceresearchs.com/index.php/mir/article/view/218
Mori, Y., East, J. E., Hassan, C., Halvorsen, N., Berzin, T. M., Byrne, M., ... & Ramchandani, M. (2023). Benefits and challenges in implementation of artificial intelligence in colonoscopy: World Endoscopy Organization position statement. Digestive Endoscopy, 35(4), 422–429.
Naz, H., & Kashif, M. (2025). Artificial intelligence and predictive marketing: An ethical framework from managers' perspective. Spanish Journal of Marketing-ESIC, 29(1), 22–45.
Negt, P., & Haunschild, A. (2025). Exploring the gap between research and practice in human resource management (HRM): A scoping review and agenda for future research. Management Review Quarterly, 75(1), 837–879. https://doi.org/10.1007/s11301-023-00397-7
Neri, H., & Cozman, F. (2020). The role of experts in the public perception of risk of artificial intelligence. AI and Society, 35(3), 663–673. https://doi.org/10.1007/s00146-019-00924-9
Oladoyinbo, T. O., Olabanji, S. O., Olaniyi, O. O., Adebiyi, O. O., Okunleye, O. J., & Ismaila Alao, A. (2024). Exploring the challenges of artificial intelligence in data integrity and its influence on social dynamics. Asian Journal of Advanced Research and Reports, 18(2), 1–23. https://doi.org/10.9734/AJARR/2024/v18i2601
Rudko, I., Bashirpour Bonab, A., & Bellini, F. (2021). Organizational structure and artificial intelligence: Modeling the intraorganizational response to the AI contingency. Journal of Theoretical and Applied Electronic Commerce Research, 16(6), 2341–2364. https://doi.org/10.3390/jtaer16060129
Totonchi, J. (2025). AI-enabled smart services in government: Opportunities and challenges. Government Information Quarterly, 42(2), 101–118.
Walters, R., & Novak, M. (2021). Artificial intelligence and law. In Cyber security, artificial intelligence, data protection & the law (pp. 39–69). Springer.
Zavaleta-Monestel, E., Anchía-Alfaro, A., Rojas-Chinchilla, C., Quesada-Loria, D. F., & Arguedas-Chacón, S. (2025). Ethical and practical dimensions of artificial intelligence (AI) in healthcare: A comprehensive study of professional perceptions. Cureus, 17(2), e78901.
دوره 2، شماره 3 - شماره پیاپی 7
این شماره مربوط به پاییز ۱۴۰۴ است و در شهریور ۱۴۰۵ با تأخیر منتشر شده است.
پاییز 1404
صفحه 93-113

  • تاریخ دریافت 23 شهریور 1404
  • تاریخ بازنگری 20 آبان 1404
  • تاریخ پذیرش 30 خرداد 1405
  • تاریخ انتشار 01 آذر 1404