Maximizing Gen Z Engagement: A Modern Approach to it Sector Talent Management
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Abstract
Crisis in Generation Z Employee Retention in the IT Industry due to the rapid digital transformation witnessed in the IT industry, the challenge of retaining the Generation Z employee has become more pronounced, whose workplace expectations and career interests are different from the previous generations. This research aims to obtain better information on combination of AHP (Analytic Hierarchy Process) into talent management systems regarding Gen Z retention in IT ventures. AHP, which stands for Analytic Hierarchy Process, is one of several multi- criteria decision-making (MCDM) methods users can employ to structure their thoughts in a systematic manner, allowing them to prioritize factors affecting Gen Z retention, including work-life balance, career growth, workplace culture and compensation. By doing so, organizations can tailor retention strategies that meet Gen Z expectations by weighting key variables. This study demonstrates a model to solve with AHP and highlights that how AHP model is applicable to find out employee engagement and satisfaction drivers while providing HR leaders a structured perspective. The analysis indicates that a methodical AHP-based talent management strategy will improve job satisfaction lower attrition rate and create a flexible/ socialized workplace environment. Furthermore, this study highlights the importance of providing continuous feedback mechanisms and personalized career development plans in reinforcing Gen Z retention initiatives. The framework presented will provide relevant and useful information to IT companies for designing HR policies aiming for long-term workforce stability.
References
1. ADP. (2024). How HR leaders can succeed in 2025 with AI, skills- based hiring and employee-centered practices. ADP Spark.
2. Bazeley, P., & Jackson, K. (2013). Qualitative data analysis with NVivo (2nd ed.). SAGE Publications.
3. Blanco, M. R., & Golik, M. N. (2021). Mind the gap: Line managers as effective or non effective talent spotters. International Journal of Training and Development, 25(1), 23-42.
4. Creswell, J. W., & Plano Clark, V. L. (2018). Designing and conducting mixed methods research (3rd ed.). SAGE Publications.
5. Deloitte. (2022). Deloitte global 2022 Gen Z and millennial survey. Deloitte Insights. Retrieved from https://www2.deloitte.com 22 IITM Journal of Management and IT (December 2025) 16(2)
6. Eagle Hill Consulting. (2023). Gen Z employee retention strategies. Retrieved from https://www.eaglehillconsulting.com
7. Francis, T., & Hoefel, F. (2018). True Gen: Generation Z and its implications for companies. McKinsey & Company. Retrieved from
8. García, M., et al. (2024). Employee engagement and retention strategies: A qualitative perspective. Journal of Business Research.
9. HCLTech. (2023). AI and skill-centric talent management for workforce. HCL Tech Trends and Insights.
10. Huang, G., Lee, J., & Kim, S. (2024). Total rewards and recognition: Strategies for retaining generation Z talent in the IT industry. Human Resource Management Journal, 34(3), 256-272.
11. Huang, J., et al. (2023). AHP and NVivo in HR decision-making: A mixed-method approach. HRM Journal.
12. Human Resource Journal. (2024). Strategies for employee retention in high turnover sectors: An analytical study. Human Resource Journal.
13. Jayathilake, H. D., Silva, S. T., & Nanayakkara, S. (2020). Factors influencing Generation Z’s intention to stay in the IT industry. Journal of Human Resource Management, 8(1), 12-20.
14. Jayathilake, H., et al. (2020). Exploring HRM practices to retain Generation-Z in IT sector: A systematic literature review. ResearchGate.
15. Konstantinou, I., & Jones, K. (2022). Investigating Gen Z attitudes to charitable giving and donation behaviour: Social media, peers and authenticity. Journal of Philanthropy and Marketing, 27(3), e1764.
16. Kumar, S. (2023). Oracle HCM and generative AI: Revolutionizing HR and talent retention. LinkedIn Article.
17. Lin, Y., & Wang, J. (2024). Flexible work arrangements and job satisfaction among Gen Z IT professionals. Asia Pacific Journal of Human Resources, 62(1), 89-105.
18. Malik, A., Budhwar, P., & Srikanth, N. R. (2023). Talent management in the IT industry: A study on Gen Z employees. International Journal of Human Resource Studies, 13(2), 45-60.
19. MDPI. (2024). “Talent Management and Generation Z: A Systematic Literature Review.” MDPI Administrative Sciences.
20. Ng, E. S., Schweitzer, L., & Lyons, S. T. (2010). New generation, great expectations: A field study of the Millennial generation. Journal
of Business and Psychology, 25(2), 281–292. https://doi.org/10.1007/ s10869-010-9159-4 IITM Journal of Management and IT (December 2025) 16(2) 23
21. Ortmayr, C. (2023). Work-life balance and remote work preferences of generation Z in the Tech sector. Journal of Business Research, 136, 567-575.
22. Pandey, P., Sharma, A., Jeswani, S., Sharma, D., & Gupta, A. (2025). Spotlighting recruitments: Is AI dominating human resource practices? Quality & Quantity.
23. Rodríguez, A., et al. (2024). Gen Z workplace expectations: A qualitative
analysis using NVivo. MDPI.
24. Rodríguez, L. M., Martínez, P., & Pérez, A. (2024). Corporate social responsibility and its impact on Gen Z employee retention in IT
companies. Corporate Social Responsibility and Environmental Management, 31(2), 123-134.
25. Rothwell, W. J. (2011). Replacement planning: A starting point for succession planning and talent management. International Journal of Training and Development, 15(1), 87-99.
26. Saaty, T. L. (1980). The analytic hierarchy process: Planning, priority setting, resource allocation. McGraw-Hill.
27. Schroth, H. (2019). Are you ready for Gen Z in the workplace? California Management Review, 61(3), 5–18. https://doi.org/10.1177/ 0008125619841006
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