YAPAY ZEKÂ DESTEKLİ YETENEK YÖNETİMİNİN ÇALIŞAN ALGISI ÜZERİNDEKİ ETKİLERİ: THE IMPACTS OF ARTIFICIAL INTELLIGENCE-SUPPORTED TALENT MANAGEMENT ON EMPLOYEE PERCEPTIONS

Münevver BAYAR

doi:10.5281/zenodo.18058475

Authors

Münevver BAYAR https://orcid.org/0000-0002-8077-2160

DOI:

https://doi.org/10.5281/zenodo.18058475

Keywords:

Artificial Intelligence, Talent Management, Employee Perception

Abstract

Artificial intelligence, along with the rapid development of technologies such as big data, cloud computing, and the Internet of Things, has become a crucial part of the digital economy. These developments are enabling organizations to transform into interconnected and interactive structures. This interdependence necessitates simultaneous changes across all departments, especially among employees within businesses. This process acts as a catalyst for transformation in modern organizations. Talent is one of the most valuable assets for sustainable organizational success. Therefore, researching innovative methods in talent management for employees is of great importance. The age of artificial intelligence offers businesses significant opportunities for employee development and renewal. Thanks to its data collection, analysis, and processing capabilities, artificial intelligence overcomes the limitations of traditional management approaches and enables the development of more efficient approaches in talent management. Today, with the development of artificial intelligence, various innovations have emerged in the field of talent management. It is particularly important for employees in businesses to have an open mind to these innovations. To make talent management more efficient, it is necessary to be open to AI-supported applications. The main objective of this research is to examine the effects of AI-assisted talent management on employee perception through interviews. The findings indicate that the implementation of AI-assisted talent management in businesses has positive results on employee perception.

References

Abrishamkar, M. M., Abubakar, Y. A., & Mitra, J. (2021). The influence of workforce agility on high- growth firms: The mediating role of innovation. The International Journal of Entrepreneurship and Innovation, 22(3), 146-160.

Adiatma, H. (2023). The Effect of Job Characteristics and Competence on Employee Performance with Organization Culture as a Moderating Variable Studies in the Field of Employment BPJS Membership All over East Java. GREENOMIKA, 5(1).

Akingbola, K., Rogers, S. E., & Intindola, M. (2022). Employee Engagement in Nonprofit Organizations: Theory and Practice. In Employee Engagement in Nonprofit Organigations: Theory and Practice.

Alsakarneh, G., Ali, A. J., & Ali, S. (2024). The Effect of E-HRM on Workforce Agility in the Jordanian Cement Industry: The Mediating Role of Employee Engagement and the Moderating Role of Digital Innovation. International Journal of Academic Research in Business and Social Sciences, 14(11).

Alviani, D., Hilmiana, Widianto, S., & Muizu, W. O. Z. (2024). Workforce agility: a systematic literatüre review and research agenda. Frontiers in Psychology, 15.

Andresen, A., Mohammad, S., & Wald, A. (2020). Agility as a Matter of Degree: An Empirical Study of the Determinants of Agility in Projects. Die Unternehmung, 74(2).

Ardian, D., Nurhayati, M., & Madris, M. (2023). Influence of Compensation Procedural Fairness and Employee Engagement on Workforce Agility and Its Impact on Employee Performance. International Journal of Applied Management and Business, 1(2), 95-104.

Azmy, A. (2021). The Effect of Employee Engagement and Job Satisfaction on Workforce Agility Through Talent Management in Public Transportation Companies. Media Ekonomi Dan Manajemen, 36(2).

Azmy, A., Hermawan, E., Arifin, A. L., & Pranogyo, A. B. (2022). The Effect of Talent Management Optimization on Workforce Agility Through Job Satisfaction and Employee Engagement to Develop Excellent Service in Private Hospital. Academy of Strategic Management Journal, 21(5).

Berawi, M. A. (2019). Managing Nature 5.0 in Industrial Revolution 4.0 and Society 5.0 Era. International Journal of Technology, 10(2), 222

Besic, A., Hirt, C., & Rahimic, Z. (2024). Contextualising employee engagement in crisis: a protective caring approach to employee engagement in the banking sector in Bosnia and Herzegovina. Employee Relations: The International Journal, 46(9), 42-59.

Cyfert, S., Szumowski, W., Dyduch, W., Zastempowski, M., & Chudzinski, P. (2022). The power of moving fast: responsible leadership, psychological empowerment and workforce agility in energy sector firms. In Heliyon (Vol. 8, Issue 10).

Dries, N. (2022). What’s your talent philosophy? Talent as construct versus talent as phenomenon. In Talent Management: A Decade of Developments.

Elnakib, A., & Gallego-Roquelaure, V. (2025). Sustainable human resources management in small- medium enterprises in developing countries: a systematic literature review. Employee Relations: The International Journal.

Faqihi, A., & Miah, S. J. (2023). Artificial Intelligence-Driven Talent Management System: Exploring the Risks and Options for Constructing a Theoretical Foundation. Journal of Risk and Einancial Management, 16(1), 31.

Guerra, J. M. M., Danvila-del-Valle, I., & Mendez-Suârez, M. (2023). The impact of digital transformation on talent management. Technological Forecasting and Social Change, 188, 122291.

Gürbüz, F. G., Acar, P., & Yener, M. I. (2017). Development and validation of a talent management measurement instrument. Press academia, 6(3), 233-245.

Kaliannan, M., Darmalinggam, D., Dorasamy, M., & Abraham, M. (2023). Inclusive talent development as a key talent management approach: A systematic literature review. Human Resource Management Review, 33(1), 100926.

Kwon, K., & Jang, S. (2022). There is no good war for talent: a critical review of the literatüre on talent management. Employee Relations: The International Journal, 44(1), 94-120.

Maley, J. F., Dabic, M., Neher, A., Wuersch, L., Martin, L., & Kiessling, T. (2024). Performance management in a rapidly changing world: implications for talent management. Management Decision, 62(10), 3085-3108.

Muzaki, F. I., Ulfa Sari, W., Kharisma Putri, I., Septian Arianto, R., & Putra, R. S. (2023). Factors Affecting Performance Employees: Motivation, Leadership, Environment Work, Organizational Culture, and Achievement Work. GREENOMIKA, 3(1).

Natapoera, M., & Mangundjaya, W. (2020). The Effect of Employee Involvement and Work Engagement on Workforce Agility. Proceedings of the Proceedings of the 3rd International Conference on Administrative Science, Policy, and Governance Studies, ICAS-PGS 2019, October 30-31, Universitas Indonesia, Depok. Indonesia.

Pandia, N. E. B., & Meilani, Y. C. F. P. (2024). The Effect of Transformational Leadership on Performance of Organizations: A Review of Systematic Literature Across Different Sectors. GREENOMIKA, 6(1), 1-9.

Pessima, J. D., & Dietz, B. (2019). Global talent management. In The Wiley Handbook of Global Workplace Eearning.

Petermann, M. K. H., & Zacher, H. (2020). Agility in the workplace: Conceptual analysis, contributing factors, and practical examples. In Industrial and Organizational Psychology (Vol. 13, Issue 4).

Petermann, M. K. H., & Zacher, H. (2021). Development of a behavioral taxonomy of agility in the workplace International Journal of Managing Projects in Business, 14(6).

Petermann, M. K. H., & Zacher, H. (2022). Workforce Agility: Development and Validation of a Multidimensional Measure. Frontiers in Psychology, 13.

Piacentini, R. D., Vega, M., & Mujumdar, A. S. (2021). Beyond industrial revolution 4.0: How industrial revolution 5.0 is related to drying technology. Drying Technology, 39(4), 437-438.

Prasetiawan, T., Nurhayati, M., & Riana, K. E. (2025). The Influence of Agile Leadership and Talent Management on Employee Performance Mediated by Workforce Agility. International Journal of Applied Management and Business, 3(1), 1-22.

Rijwani, T., Kumari, S., Srinivas, R., Abhishek, K., Iyer, G., Vara, H., Dubey, S., Revathi, V., & Gupta, M. (2025). Industry 5.0: a review of emerging trends and transformative technologies in the next industrial revolution. InternationalJournal on Interactive Design andManufacturing (IJIDeM), 19(2), 667¬679.

Rofi’ah, R., Avira, S., Budiasih, B., & Agustin, S. K. (2022). Penggunaan Manajemen Talenta Pada Manajemen Sumber Daya Manusıa Sebagaı Strategı Organısası. Jurnal Ilmiah Manajemen, Ekonomi, Akuntansi (MEA), 6(3).

Rosid, A., Muzdalifah, L., & ilhama Qurratu’aini, N. (2024). The Influence of Perceived Organizational Support, Employee Enggagement and Work Motivation on Employee Performance. Greenomika, 5(2), 198-205.

Saptarini, N. I., & Mustika, M. D. (2023). Workforce Agılıty And Adaptıve Performance In Government Instıtutıon: The Medıatıng Role Of Work Engagement. Jurnal Manajemen Dan Kewirausahaan, 55(1), 55-62.

Saxena, V. (2019). Employee Engagement: A recipe to boost Organisational Performance. Notion Press.

Setiti, L. M. D., & Paramarta, W. A. (2023). Workload Influence on Employee Performance of Aria Villas Seminyak with Work Stress as a Variable Intervening. GREENOMIKA, 5(1).

Soedarto, T., & Hardi, T. (2023). Meningkatkan Kinerja Bisnis Melalui Employee Engagement. Uwais Inspirasi Indonesia.

Srimulyani, V. A. (2020). Talent Management dan Konsekuensinya terhadap Employee Engagement dan Employee Retention. INOBIS: Jurnal Inovasi Bisnis Dan Manajemen Indonesia, 3(4).

Yulian, H. D., & Ekhsan, M. (2023). Pengaruh Talent Management Terhadap Workforce Agility Yang Dimediasi Kepuasan Kerja. Dynamic Management Journal, 7(3).

Yusuf, A., Indriasari, I., & Violinda, Q. (2023). Pengaruh Manajemen Talenta dan Workforce Agility terhadap Kinerja Karyawan PT. Hutan Makmur Indonesia. MANABIS: Jurnal Manajemen Dan Bisnis, 7(1), 64-72.

Zhang, C., & Stewart, J. (2017). Talent Management and Retention. In The Wiley BlackwellHandbook of the Psychology of Recruitment, Selection and Employee Retention.

Ziatdinov, R., Atteraya, M. S., & Nabiyev, R. (2024). The Fifth Industrial Revolution as a Transformative Step towards Society 5.0. Societies, 14(2)

THE IMPACTS OF ARTIFICIAL INTELLIGENCE-SUPPORTED TALENT MANAGEMENT ON EMPLOYEE PERCEPTIONS