QUIET HIRING RECONCEPTUALIZED: INTERNAL TALENT MARKETPLACES AND THE FUTURE OF STRATEGIC WORKFORCE PLANNING
Published:
2026-05-11Downloads
Abstract
This article reconceptualizes quiet hiring as a strategic approach to workforce management supported by internal talent marketplaces (ITMs) and strategic workforce planning (SWP). As organizations face increasing pressure to adapt to rapid technological change and talent shortages, traditional hiring models are becoming less effective. Using a narrative review methodology, the study synthesizes existing literature on quiet hiring, ITMs, and skills-based workforce strategies. The findings suggest that quiet hiring, when supported by AI-driven platforms, can evolve from an ad hoc practice into a structured mechanism for internal talent deployment. ITMs enable real-time skills matching, enhance workforce agility, and improve employee career mobility. However, challenges related to governance, transparency, and equity remain critical considerations. The study highlights the importance of integrating ITMs into SWP processes to support data-driven decision-making and scenario planning. It also emphasizes the need for organizational readiness, including capability development and ethical oversight. Overall, the article contributes to both theory and practice by offering a strategic framework for leveraging internal talent in a rapidly changing work environment.
Keywords:
quiet hiring internal talent marketplaces strategic workforce planning skills-based organization,References
Asfahani, A. M. (2024). Fusing talent horizons: the transformative role of data integration in modern talent management. Discover Sustainability, 5(1). https://doi.org/10.1007/s43621-024-00212-7
Atiq, A., Sullman, M., & Apostolou, M. (2025). The silent shift: exploring the phenomenon of quiet quitting in modern workplaces. Personnel Review, 1–23. https://doi.org/10.1108/pr-12-2024-1059
Ayanponle, L., Okatta, C. G., & Ajiga, D. (2022). AI-powered HR analytics: Transforming workforce optimization and decision-making. International Journal of Science and Research Archive, 5(2), 338–346. https://doi.org/10.30574/ijsra.2022.5.2.0057
Campton, J., Tham, A., & Ting, H. (2023). Quiet Quitting – Implications for Asian Businesses. Asian Journal of Business Research. https://doi.org/10.14707/ajbr.230153
Căvescu, A. M., & Popescu, N. (2025). Predictive Analytics in Human Resources Management: Evaluating AIHR’s Role in Talent Retention. AppliedMath, 5(3), 99. https://doi.org/10.3390/appliedmath5030099
Chowdhury, S., Budhwar, P., & Wood, G. (2024). Generative Artificial Intelligence in Business: Towards a Strategic Human Resource Management Framework. British Journal of Management, 35(4), 1680–1691. https://doi.org/10.1111/1467-8551.12824
Daraojimba, A. I., Jason, A., Kess-Momoh, Tubokirifuruar, S., Bello, B. G., & Omotoye, G. B. (2024). Strategic human resource management in the 21st century: A review of trends and innovations. World Journal of Advanced Research and Reviews. https://doi.org/10.30574/wjarr.2024.21.1.0105
Dongre, D., & Kanchan, P. (2025). THE FUTURE OF HIRING: IMPACT OF SKILL-BASED HIRING ON PROFESSIONAL DEVELOPMENT AND LIFELONG LEARNING. VIDYA - A JOURNAL OF GUJARAT UNIVERSITY. https://doi.org/10.47413/avx49y24
Formica, S., & Sfodera, F. (2022). The Great Resignation and Quiet Quitting paradigm shifts: An overview of current situation and future research directions. Journal of Hospitality Marketing & Management, 31(8), 899–907. https://doi.org/10.1080/19368623.2022.2136601
Georgiadou, A., Vezyridis, P., & Glaveli, N. (2025). “You Pretend to Pay Me; I Pretend to Work”: A Multi‐Level Exploration of Quiet Quitting in the Greek Context. Human Resource Management. https://doi.org/10.1002/hrm.22292
Gong, C., & Ribière, V. (2023). Understanding the role of organizational agility in the context of digital transformation: an integrative literature review. VINE Journal of Information and Knowledge Management Systems. https://doi.org/10.1108/vjikms-09-2022-0312
Hamouche, S., Koritos, C., & Papastathopoulos, A. (2023). Quiet quitting: relationship with other concepts and implications for tourism and hospitality. International Journal of Contemporary Hospitality Management, 35(12), 4297–4312. https://doi.org/10.1108/ijchm-11-2022-1362
Jooss, S., Collings, D., McMackin, J., & Dickmann, M. (2023). A skills‐matching perspective on talent management: Developing strategic agility. Human Resource Management. https://doi.org/10.1002/hrm.22192
Kachhap, V., & Singh, T. (2024). Quiet quitting: a comprehensive exploration of hidden problems. Development and Learning in Organizations: An International Journal. https://doi.org/10.1108/dlo-10-2023-0214
Kadirov, A. M., Shakirova, Y., Ismoilova, G., & Makhmudova, N. (2024). AI in Human Resource Management: Reimagining Talent Acquisition, Development, and Retention. 2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS). https://doi.org/10.1109/ICKECS61492.2024.10617231
Kıcır, G. K. (2024). The New Silence Trend for Businesses: Quiet Hiring. İşletme Bilimi Dergisi. https://doi.org/10.22139/jobs.1523008
Kumar, A. (2025). “Silent Resistance or Strategic Withdrawal? Rethinking Employee Engagement in the Era of Quiet Quitting.” Journal of Informatics Education and Research, 5(2). https://doi.org/10.52783/jier.v5i2.3034
Liu-Lastres, B., Karatepe, O. M., & Okumus, F. (2023). Combating quiet quitting: implications for future research and practices for talent management. International Journal of Contemporary Hospitality Management, 36(1), 13–24. https://doi.org/10.1108/ijchm-08-2023-1317
Madanchian, M. (2024). From Recruitment to Retention: AI Tools for Human Resource Decision-Making. Applied Sciences. https://doi.org/10.3390/app142411750
Opada, F. M. M., Ibrahim, M., Irawan, A., Akbar, M. A., & Rasyid, A. (2024). Talent Acquisition Strategies: A Comprehensive Examination of Recruitment Policies for Organizational Success. Advances in Human Resource Management Research. https://doi.org/10.60079/ahrmr.v2i2.185
Serenko, A. (2023). The human capital management perspective on quiet quitting: recommendations for employees, managers, and national policymakers. Journal of Knowledge Management. https://doi.org/10.1108/jkm-10-2022-0792
Tenakwah, E. S., & Watson, C. (2024). Embracing the AI/automation age: preparing your workforce for humans and machines working together. Strategy & Leadership, 53(1), 32–48. https://doi.org/10.1108/sl-05-2024-0040
Vivek, R. (2023). Enhancing diversity and reducing bias in recruitment through AI: a review of strategies and challenges. Информатика. Экономика. Управление - Informatics. Economics. Management, 2(4), 0101–0118. https://doi.org/10.47813/2782-5280-2023-2-4-0101-0118
License
Copyright (c) 2026 Hairyzal, Ramon Zamora, Oktavianti
This work is licensed under a Creative Commons Attribution 4.0 International License.
