SavedAdd your journal

Journals / Yönetim Bilimleri Dergisi / 2026 / Cilt: 23 Sayı: 57

ARTIFICIAL INTELLIGENCE IN HUMAN RESOURCE MANAGEMENT: A COMPREHENSİVE STUDY ON PRACTICES AND FUTURE DIRECTIONS

İNSAN KAYNAKLARI YÖNETİMİNDE YAPAY ZEKA: UYGULAMALAR VE GELECEK YÖNELİMLERİ ÜZERİNE KAPSAMLI BİR ÇALIŞMA

Fatma Zehra Yıldız(Tarsus Üniversitesi)0000-0002-0631-6589
Pages
1569–1594
Publication Date
2025-07-23
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

It is hoped to contribute to the field and practitioners by discussing future directions and what awaits human resources professionals.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Artificial intelligence applications support human resources professionals and transform human resources management processes by offering improvements in functions such as recruitment, employee rewarding, talent management, employee development, performance evaluation and human resources analytics.
📊
Key Findings & Data:Business processes transformed with artificial intelligence facilitate human resources professionals to focus more on strategic issues.
💡
Conclusion & Impact:It is hoped to contribute to the field and practitioners by discussing future directions and what awaits human resources professionals.
🔬Design:Review & Systematic Survey
📍Scope:Comprehensive Sample
⚙️Variables:İnsan Kaynakları Yönetimi · Yapay Zeka · Anlatı Derlemesi

Abstract

Artificial intelligence applications support human resources professionals and transform human resources management processes by offering improvements in functions such as recruitment, employee rewarding, talent management, employee development, performance evaluation and human resources analytics. In this study, the question ‘What are the artificial intelligence applications used in human resources management?’ is sought to be answered on a conceptual basis. The aim of the study is to examine the applications of artificial intelligence in the field of human resource management and to reveal the advantages, disadvantages and future directions of this technology. In this narrative review, the relevant literature is reviewed and current artificial intelligence applications and discussions in the field of human resource management are discussed together with propositions. It is seen that artificial intelligence applications are beneficial in many areas such as saving time, reducing costs, automating repetitive tasks and increasing productivity in human resources management processes. Business processes transformed with artificial intelligence facilitate human resources professionals to focus more on strategic issues. In parallel with the transformations created by artificial intelligence in human resources management practices, especially recruitment, it has been observed that the challenges faced by human resources professionals have increased and diversified. In the study, it is emphasised that artificial intelligence has many advantages in human resource management applications, but ethical principles should be considered and the importance of interaction with the human factor in artificial intelligence applications is emphasised. However, although artificial intelligence applications seem promising, their applicability for businesses should be questioned. This study has several theoretical contributions. In the study, human resource management functions are analysed and how artificial intelligence applications transform existing applications are examined and propositions are developed for the impact of artificial intelligence on human resource management applications. Not only the benefits of artificial intelligence applications in terms of human resource management, but also possible concerns are included in the discussion. It is hoped to contribute to the field and practitioners by discussing future directions and what awaits human resources professionals.

Özet

Yapay zeka uygulamaları, işe alım, çalışan ödüllendirme, yetenek yönetimi, çalışan geliştirme, performans değerlendirme ve insan kaynakları analitiği gibi fonksiyonlarda iyileştirme sunarak insan kaynakları profesyonellerine destek olmaktadır ve insan kaynakları yönetimi süreçlerini dönüştürmektedir. Bu çalışmada, “İnsan kaynakları yönetiminde kullanılan yapay zeka uygulamaları nelerdir?” sorusuna kavramsal bir zeminde cevap aranmıştır. Çalışmanın amacı, yapay zekanın insan kaynakları yönetimi alanındaki uygulamalarını incelemek ve bu teknolojinin avantajlarını, dezavantajlarını ve gelecek yönelimlerini ortaya koymaktadır. Bu anlatı derlemesinde ilgili alanyazın taranarak insan kaynakları yönetimi alanındaki güncel yapay zeka uygulamaları ve tartışmaları önermelerle birlikte ele alınmıştır. İnsan kaynakları yönetimi süreçlerinde zaman tasarrufu sağlama, maliyetlerin azaltılması, tekrarlayan görevlerin otomatikleştirilmesi, verimliliğin artması gibi pek çok alanda yapay zeka uygulamalarının yarar sağladığı görülmektedir. Yapay zeka ile birlikte dönüşen iş süreçleri, insan kaynakları profesyonellerinin stratejik konulara daha fazla odaklanmasını kolaylaştırmaktadır. İşe alım başta olmak üzere yapay zekanın insan kaynakları yönetimi uygulamalarındaki oluşturduğu dönüşümlere paralel olarak insan kaynakları profesyonelleri için karşılaşılan zorlukların da artarak çeşitlendiği görülmüştür. Çalışmada, yapay zekanın insan kaynakları yönetimi uygulamalarında pek çok avantajının olduğu ancak etik ilkelere dikkat edilmesi gerektiği ve yapay zeka uygulamalarında insan faktörüyle etkileşimin önemi vurgulanmıştır. Bununla birlikte, yapay zeka uygulamaları umut verici görünse de işletmeler açısından uygulanabilirlikleri sorgulanmalıdır. Bu çalışma birkaç teorik katkıya sahiptir. Çalışmada, insan kaynakları yönetimi fonksiyonları ele alınarak yapay zeka uygulamalarının mevcut uygulamaları nasıl dönüştürdüğü incelenerek yapay zekanın insan kaynakları yönetimi uygulamalarındaki etkisine yönelik önermeler geliştirilmiştir. Yapay zeka uygulamalarının insan kaynakları yönetimi açısından sadece yararları değil olası endişeler de tartışmaya dahil edilmiştir. Gelecek yönelimleri ve insan kaynakları profesyonellerini nelerin beklediği tartışılarak alana ve uygulayıcılara katkı sağlanması umulmuştur.

🔖

Cite This Article

Yıldız, F. Z. (2025). ARTIFICIAL INTELLIGENCE IN HUMAN RESOURCE MANAGEMENT: A COMPREHENSİVE STUDY ON PRACTICES AND FUTURE DIRECTIONS. Yönetim Bilimleri Dergisi, Cilt: 23 Sayı: 57, 1569–1594. https://doi.org/10.35408/comuybd.1569970

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (76)

  1. Allal-Chérif, O., Yela Aránega, A. ve Castaño Sánchez, R. (2021). Intelligent recruitment: How to identify, select, and retain talents from around the world using artificial intelligence. Technological Forecasting and Social Change, 169. https://doi.org/10.1016/j.techfore.2021.120822
  2. Ali, O. ve Kallach, L. (2024). Artificial Intelligence Enabled Human Resources Recruitment Functionalities: A Scoping Review. Procedia Computer Science, 232, 3268–3277.
  3. Arias, M. M., Carlos, A. P. R. ve Márquez, O. C. (2023). Artificial İntelligence To Manage Workplace Bullying. Journal of Business Research, 160, https://doi.org/10.1016/j.jbusres.2023.113813
  4. Armstrong, M. (2010). Armstrong’s Handbook of Reward Management Practice. London: Kogan Page.
  5. Anderson, J., Rainie, L. ve Luchsinger, A. (2018). Artificial Intelligence and the Future of Humans. Pew Research Center, 10.
  6. Barney, J. (1991). Firm resources and sustained competitive advantage. J. Manag. 17, 99–120. https://doi.org/10.1177/014920639101700108
  7. Black, J. S. ve van Esch, P. (2020). AI-enabled Recruiting: What is it and How Should a Manager Use It? Business Horizons, 63, 215–226.
  8. Can, A. (2018). Önce Yapay Zekayı Geçmeniz Gerekiyor. Erişim: 1 Mart 2024, https://www.hurriyet.com.tr/ik-yeni-ekonomi/once-yapay-zekayi-gecmeniz-gerekiyor-41007016
  9. Cerebro. (2018). Yapay Zeka Dokunuşu ile İnsan Kaynakları. Erişim: 1 Mart 2024, https://medium.com/@cerebro.tech/yapay-zeka-dokunu%C5%9Fu-ile-i%CC%87nsan kaynaklar%C4%B1-152eebdc23a
  10. Čerka, P., Grigienė, J., & Sirbikytė, G. (2017). Is it possible to grant legal personality to artificial intelligence software systems? Computer Law & Security Review, 33(5), 685-699. https://doi.org/10.1016/j.clsr.2017.03.022
  11. Cherif, O. A., Aregena, A. Y. ve Sanchez, R. C. (2021). Recruitment: How to Identify, Select and Retain Talents From Around the World Using Artificial Intelligence. Technological Forecasting & Social Change, 169, https://doi.org/10.1016/j.techfore.2021.120822
  12. Chaudhuri, R., Chatterjee, S., Vrontis, D., et al. (2024). Adoption of robust business analytics for product innovation and organizational performance: The mediating role of organizational data-driven culture. Annals of Operations Research, 339, 1757–1791. https://doi.org/10.1007/s10479-021-04407-3
  13. Dastin, J. (2022). Amazon scraps secret AI recruiting tool that showed Bias against Women. In Ethics of Data and Analytics: Auerbach Publications.
  14. DeCenzo, D. A., Robbins, S. P. ve Verhulst, S. L. (2017). İnsan Kaynakları Yönetiminin Temelleri. Canan Çetin ve M. Lütfi Arslan (Çev. Ed.), Ankara: Nobel Akademik Yayıncılık.
  15. Dessler, G. (2016). Human Resource Management, London: Pearson.
  16. Delecraz, S., Eltarr, L., Becuwe, M., Bouxin, H., Boutin, N. ve Oullier, O. (2022). Responsible Artificial Intelligence in Human Resources Technology: An Innovative Inclusive and Fair by Design Matching Algorithm for Job Recruitment Purposes. Journal of Responsible Technology, 11, https://doi.org/10.1016/j.jrt.2022.100041
  17. Dianna, L. S., Lukaszewski, K. M. ve Johnson, R. D. (2024). Will Artificial Intelligence Radically Change Human Resource Management Processes? Organizational Dynamics, 53(1), https://doi.org/10.1016/j.orgdyn.2024.101034 2024
  18. Duan, Y., Edwards, J. S. ve Dwivedi, Y. K. (2019). Artificial Intelligence for decision Making in the era of Big Data–evolution, Challenges and Research Agenda. International Journal of Information Management, 48, 63-71.
  19. European Commission. White Paper: On Artificial Intelligence - A European Approach to Excellence and Trust. Brussels, 19.2.2020. Erişim tarihi: 27 Mart 2025 https://commission.europa.eu/publications/white-paper-artificial-intelligence-european-approach-excellence-and-trust_en
  20. Fabris, A., Baranowska, N., Dennis, M. J., Graus, D., Hacker, P., Saldivar, J., Zuiderveen Borgesius, F. ve Biega, A. J. (2025). Fairness and bias in algorithmic hiring: A multidisciplinary survey. ACM Transactions on Intelligent Systems and Technology, 16(1), 1-54. https://doi.org/10.1145/3696457
  21. Feloni, R. (2017). Consumer Goods Giant Unilever has Been Hiring Employees Using Brain Games and Artificial Intelligence – and it’s a Huge Success. Business Insider, 28.
  22. Ferrari, R. (2015). Writing narrative style literature reviews. Medical Writing, 24(4), 230–235. https://doi.org/10.1179/2047480615Z.000000000329
  23. Güngör, P. (2011). The Relationship Between Reward Management System and Employee Performance with The Mediating Role of Motivation: A Quantitative Study on Global Banks. Procedia Social and Behavioral Sciences, 24, 1510-1520.
  24. Gomez-Mejia, Luls, R., Balkin, D. B. ve Cardy, R. L. (2016). Managing Human Resources. London: Pearson.
  25. Gulliford, F. ve Parker Dixon, A. (2019). AI: the HR Revolution. Strategic HR Review, 18(2), 52-55. https://doi.org/10.1108/SHR-12-2018-0104
  26. He, E. (2018). Can Artificial Intelligence Make Work More Human? Strategic HR Review,17(5), 263–264.
  27. Hickman, L., Bosch, N., Ng, V., Saef, R., Tay, L. ve Woo, S.E. (2022). Automated video interview personality assessments: reliability, validity, and generalizability investigations. J. Appl. Psychol. 107, 1323–1351. https://doi.org/10.1037/apl0000695
  28. Hmoud, B. ve Laszlo, V. (2019). Will Artificial Intelligence Take Over Human Resources Recruitment and Selection? Network Intelligence Studies, 7(13), 21-30.
  29. Horodyski, P. (2023). Applicants’ Perception of Artificial Intelligence in The Recruitment Process. Computers in Human Behavior Reports, 11, 1-8. https://doi.org/10.1016/j.chbr.2023.100303
  30. Huang, Y. ve Gursoy, D. (2024). How does AI technology integration affect employees’ proactive service behaviors? A transactional theory of stress perspective. Journal of Retailing and Consumer Services, 77, https://doi.org/10.1016/j.jretconser.2023.103700Get rights and content
  31. Ibrahim, W. M. R. W. ve Hassan, R. (2019). Recruitment Trends in the era of Industry 4.0 using Artificial Intelligence: Pro and Cons. Asian Journal of Research in Business and Management, 1(1), 16-21.
  32. Jain, E., Chopra, T., ve Sharma, S. K. (2023). Reinventing human resource management in the era of artificial intelligence. Proceedings of the International Conference on Application of AI and Statistical Decision Making for the Business World, ICASDMBW 2022, 16-17 December 2022, Rukmini Devi Institute of Advanced Studies, Delhi, India. https://doi.org/10.4108/eai.16-12-2022.2326241
  33. Jarota, M. (2021). Artificial intelligence and robotisation in the EU - should we change OHS law? Journal of Occupational Medicine and Toxicology, 16, 18. https://doi.org/10.1186/s12995-021-00301-7
  34. Jarota, M. (2023). Artificial intelligence in the work process: A reflection on the proposed European Union regulations on artificial intelligence from an occupational health and safety perspective. Computer Law & Security Review, 49. https://doi.org/10.1016/j.clsr.2023.105825
  35. Kassa, B. Y. ve Worku, E. K. (2025). The impact of artificial intelligence on organizational performance: The mediating role of employee productivity. Journal of Open Innovation: Technology, Market, and Complexity, 11(1). https://doi.org/10.1016/j.joitmc.2025.100474
  36. Khaled, A. S. D., Sharma, D. K., Yashwanth, T., Reddy, V. M. K., Iqbal doewes R., ve Naved, M. (2023). Evaluating the role of robotics. S. Yadav, A. Haleem, P. K. Arora, ve H. Kumar (Ed.), Machine Learning and Artificial Intelligence in the Field of Performance Management içinde, (285–293). Singapore: Springer Nature.
  37. Kritikos, M. (2021). Work in the era of AI: Time for a digital social contract. European Parliamentary Research Service. Erişim tarihi: 27 Mart 2025. https://epthinktank.eu/2021/02/10/work-in-the-era-of-ai-time-for-a-digital-social-contract/
  38. Kulkarni, A. V., Joseph, S. ve Patil, K. P. (2024). Artificial intelligence technology readiness for social sustainability and business ethics: Evidence from MSMEs in developing nations. International Journal of Information Management Data Insights, 4(2). https://doi.org/10.1016/j.jjimei.2024.100250
  39. Lukacik, E. R., Bourdage, J. S. ve Roulin, N. (2022). Into the void: A conceptual model and research agenda for the design and use of asynchronous video interviews. Human Resource Management Review, 32(1). https://doi.org/10.1016/j. hrmr.2020.100789
  40. Maity, S. (2019). Identifying Opportunities for artificial ıntelligence in the evolution of training and development practices. Journal of Management Development, 38(8), 651–663. https://doi.org/10.1108/JMD-03-2019-0069
  41. Marler, J. H. (2024). Artificial intelligence, algorithms, and compensation strategy: Challenges and opportunities. Organizational Dynamics, 53(1). https://doi.org/10.1016/j.orgdyn.2024.101039
  42. Mélyptakı, G., Riczu, Z., Máté, D. ve Ningrum, P. K. (2021). The role of the artificial ıntelligence in the labour law relations in European and Asian aspect. İnsan ve İnsan, 8(30), 69-83. https://doi.org/10.29224/insanveinsan.976915
  43. Mirowska, A. ve Mesnet, L. (2022). Preferring the devil you know: Potential applicant reactions to artificial intelligence evaluation of interviews. Human Resource Management Journal, 32(2), 364–383. https://doi.org/10.1111/1748-8583.12393
  44. Meyer, D. (2018). Amazon Reportedly Killed an AI Recruitment System Because it couldn’t Stop the Tool From Discriminating Against Women, Fortune.
  45. Mikalef, P. ve Gupta, M. (2021). Artificial intelligence capability: conceptualization, measurement calibration, and empirical study on its impact on organizational creativity and firm performance. Information & Management, 58(3) https://doi.org/10.1016/j.im.2021.103434
  46. Moore, P. V., Upchurch, M., & Whittaker, X. (Eds.). (2018). Humans and machines at work: Monitoring, surveillance and automation in contemporary capitalism. Palgrave Macmillan.
  47. Nawaz, N., Arunachalam, H., Pathi, B. K. ve Gajenderan, V. (2024). The adoption of artificial ıntelligence in human resources management practices. International Journal of Information Management Data Insights, 4(1), https://doi.org/10.1016/j.jjimei.2023.100208
  48. Nayem, Z. ve Uddin, M. A. (2024). Unbiased employee performance evaluation using machine learning. Journal of Open Innovation: Technology, Market, and Complexity, 10(1). https://doi.org/10.1016/j.joitmc.2024.100243
  49. Noe, R. A. (2009). İnsan Kaynaklarının Eğitimi ve Geliştirilmesi. Canan Çetin (Çev.) İstanbul: Beta Yayınları.
  50. Peigong, L., Bastoneb, A., Mohamadc, T. A. ve Schiavone, F. (2023). How does Artificial Intelligence Impact Human Resources Performance. Evidence From A Healthcare Institution in The United Arab Emirates. Journal of Innovation &Knowledge, 8, 1-8, https://doi.org/10.1016/j.jik.2023.100340
  51. Pannu, A. (2015). Artificial intelligence and its application in different areas. Artificial Intelligence, 4(10), 79-84.
  52. Potočnik, K., Anderson, N., Born, M., Kleinmann, M. ve Nikolaou, I. (2021). Paving the Way for Research in Recruitment and Selection: Recent Developments, Challenges and Future Opportunities. European Journal of Work and Organizational Psychology, 30(2), 159-174.
  53. Raman, R., Venugopalan, M. ve Kamal, A. (2024). Evaluating Human Resources Management Literacy: A Performance Analysis of ChatGPT and Bard. Heliyon, 10, 1-26.
  54. Radonjić, A., Duarte, H. ve Pereira, N. (2024). Artificial intelligence and HRM: HR managers’ perspective on decisiveness and challenges. European Management Journal, 42(1), 57-66. https://doi.org/10.1016/j.emj.2022.07.001
  55. Rodgers, W., Murray, J. M., Stefanidis, A., Degbey, W. Y. ve Tarba, S. Y. (2023). An artificial intelligence algorithmic approach to ethical decision-making in human resource management processes. Human Resource Management Review, 33(1). https://doi.org/10.1016/j.hrmr.2022.100925
  56. Ruoxing, C., Jianning, W., Basem, A., Hussein, R. A., Salahshour, S. ve Baghaei, S. (2025). Examining the application of strategic management and artificial intelligence, with a focus on artificial neural network modeling to enhance human resource optimization with advertising and brand campaigns. Engineering Applications of Artificial Intelligence, 143. https://doi.org/10.1016/j.engappai.2025.110029
  57. Rigotti, C. ve Fosch-Villaronga, E. (2024). Fairness, AI & recruitment. Computer Law & Security Review, 53, 105966. https://doi.org/10.1016/j.clsr.2024.105966
  58. Singh, A. ve Shaurya, A. (2021). Impact of Artificial Intelligence on HR practices in the UAE. Humanities and Social Sciences Communications, 8(1), 1-9. https://doi.org/10.1016/j.heliyon.2024.e27026
  59. Shahzad, M. F., Xu, S., Naveed, W., Nusrat, S. ve Zahid, I. (2023). Investigating the Impact of Artificial Intelligence on Human Resource Functions in the Health Sector of China: A Mediated Moderation Model. Heliyon, 9, 1-17. https://doi.org/10.1016/j.heliyon.2023.e21818
  60. Sposato, M. (2024). Leadership training and development in the age of artificial intelligence. Development and Learning in Organizations, 38(4), 4–7. https://doi.org/10.1108/DLO-12-2023-0256
  61. Stone, D. L., Lukaszewski, K. M. ve Johnson, R. D. (2024). Will Artificial Intelligence Radically Change Human Resource Management Processes?, Organizational Dynamics, 53(1), https://doi.org/10.1016/j.orgdyn.2024.101034
  62. Sivertzen, A.M., Nilsen, E.R. ve Olafsen, A.H. (2013). Employer Branding: Employer Attractiveness and the Use of Social Media. J. of Prod. & Br. Manage. 22 (7), 473–483.
  63. Sohani, S. S., Pandey, J., Varma, A. ve Ray, P. (2025). Is it necessary? A framework for assessing the utility of A.I. in HRM practices. Acta Psychologica, 254. https://doi.org/10.1016/j.actpsy.2025.104816
  64. Strazzulla, P. (2024). 11 Best AI Recruiting Software Tools in 2024. Erişim: 1 Mart 2024, https://www.selectsoftwarereviews.com/buyer-guide/ai-recruiting
  65. Strohmeier, S. ve Piazza, F. (2015). Artificial Intelligence Techniques in Human Resource Management—a Conceptual Exploration. Intelligent Techniques in Engineering Management içinde (s.149-172). Springer: Cham.
  66. Şenkul, G. 2022. İş Etiğinin İşe Alım Sürecine Etkisi: Yapay Zekâ Uygulamalarının Rolü. Yayımlanmamış doktora tezi, Başkent Üniversitesi, Ankara.
  67. Upadhyay, A. K. ve Khandelwal, K. (2018). Applying Artificial Intelligence: Implications for Recruitment. Strategic Hr Review, 17, 225-258.
  68. Uyargil, C. (2017). Performans Yönetimi Sistemi: Bireysel Performansın Planlanması, Değerlendirilmesi ve Geliştirilmesi. İstanbul: Beta.
  69. Wang, Q., Liu, X. ve Huang, K.-W. (2024). Investigating employees’ occupational risks and benefits resulting from artificial intelligence: An empirical analysis. Information & Management, 61(8). https://doi.org/10.1016/j.im.2024.104036
  70. Wexley, K. N. ve Latham, G. P. (1991). Developing and Training Human Resources in Organizations. New York: HarperCollins Publishers.
  71. Vardarlıer, P. ve Zafer, C. (2020). Use of Artificial Intelligence as Business Strategy in Recruitment Process and Social Perspective. Ümit Hacıoğlu (Ed.), Digital Business Strategies in Blockchain Ecosystems Transformational Design and Future of Global Business içinde (s. 355-373). Switzerland: Springer, Cham.
  72. Varma, A., Dawkins, C. ve Chaudhuri, K. (2023). Artificial Intelligence and People Management: A Critical Assessment through the Ethical Lens. Human Resource Management Review, 33, 1-11. https://doi.org/10.1016/j.hrmr.2022.100923
  73. Varma, A., Pereira, P. ve Patel, P. 2024. Artificial Intelligence and Performance Management. Organizational Dynamics, https://doi.org/10.1016/j.orgdyn.2024.101037
  74. Volini, E., Schwartz, J., Roy, I., Hauptmann, M., Van Durme, Y., Denny, B. ve Bersin, J. (2019). Leading the social enterprise: Reinvent with a human focus. In Deloitte global human capital trends (p. 106).
  75. Yadav, S. ve Kapoor, S. (2024). Adopting Artificial Intelligence (AI) For Employee Recruitment: The Influence of Contextual Factors. International Journal of System Assurance Engineering and Management, 15(5), 1828-1840. https://doi.org/10.1007/s13198-023-02163-0
  76. Zhao, H., Yuan, B. ve Song, Y. (2024). Employees’ perception of generative artificial intelligence and the dark side of work outcomes. Journal of Hospitality and Tourism Management, 61, 191-199. https://doi.org/10.1016/j.jhtm.2024.10.007