Analyzing the Effect of Talent Management on Job Performance through Employee Retention: A Mediation Study Using the PROCESS Model in the Healthcare Sector of Hafr Al-Batin Governorate
Authors
Dr. Abdelmohsin Mohamed Ahmed Abdelrahman Assistant Professor
International University of Africa (Oman)
Article Information
DOI: 10.51584/IJRIAS.2026.11060223
Subject Category: Statistics
Volume/Issue: 11/6 | Page No: 2972-2984
Publication Timeline
Submitted: 2026-06-15
Accepted: 2026-06-20
Published: 2026-07-11
Abstract
This study aimed to analyze the effect of talent management on job performance through employee retention in the healthcare sector of Hafr Al-Batin Governorate, Saudi Arabia. The study adopted a descriptive-analytical approach and utilized a structured questionnaire administered to a sample of 384 healthcare employees. Data were analyzed using SPSS and Hayes' PROCESS Macro (Model 4) to test the mediating role of employee retention. The findings revealed a significant positive effect of talent management on employee retention and a significant positive effect of employee retention on job performance. In addition, talent management demonstrated a significant total effect on job performance. However, the indirect effect through employee retention was not statistically significant according to Bootstrap confidence intervals, indicating the absence of a significant mediation effect. The study recommends strengthening talent management practices, improving workplace conditions, and exploring additional mediating variables in future research.
Keywords
Talent Management; Employee Retention; Job Performance; Mediation Analysis; PROCESS Model; Healthcare Sector; Saudi Arabia
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References
1. Armstrong's Handbook of Human Resource Management Practice [Google Scholar] [Crossref]
2. Armstrong, M. (2020). Armstrong's handbook of human resource management practice (15th ed.). Kogan Page. [Google Scholar] [Crossref]
3. Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173–1182. https://doi.org/10.1037/0022-3514.51.6.1173 [Google Scholar] [Crossref]
4. Campbell, J. P., & Wiernik, B. M. (2015). The modeling and assessment of work performance. In J. D. Wright (Ed.), International encyclopedia of the social & behavioral sciences (2nd ed., pp. 263–271). Elsevier. [Google Scholar] [Crossref]
5. Chan, Z. C. Y., Tam, W. S., Lung, M. K. Y., Wong, W. Y., & Chau, C. W. (2013). A systematic literature review of nurse shortage and the intention to leave. Journal of Nursing Management, 21(4), 605–613. https://doi.org/10.1111/j.1365-2834.2012.01437.x [Google Scholar] [Crossref]
6. Collings, D. G., & Mellahi, K. (2009). Strategic talent management: A review and research agenda. Human Resource Management Review, 19(4), 304–313. https://doi.org/10.1016/j.hrmr.2009.04.001 [Google Scholar] [Crossref]
7. Collings, D. G., Mellahi, K., & Cascio, W. F. (2018). Global talent management and performance in multinational enterprises: A multilevel perspective. Journal of Management, 45(2), 540–566. [Google Scholar] [Crossref]
8. Das, B. L., & Baruah, M. (2013). Employee retention: A review of literature. Journal of Business and Management, 14(2), 8–16. [Google Scholar] [Crossref]
9. Dawson, A. J., Stasa, H., Roche, M. A., Homer, C. S. E., & Duffield, C. (2014). Nursing churn and turnover in Australian hospitals. Journal of Clinical Nursing, 23(5–6), 888–900. [Google Scholar] [Crossref]
10. Halter, M., Boiko, O., Pelone, F., Beighton, C., Harris, R., Gale, J., Gourlay, S., & Drennan, V. (2017). The determinants and consequences of adult nursing staff turnover: A systematic review. BMC Health Services Research, 17(1), 824. https://doi.org/10.1186/s12913-017-2707-0 [Google Scholar] [Crossref]
11. Hausknecht, J. P., Rodda, J. M., & Howard, M. J. (2009). Targeted employee retention: Performance-based and job-related differences in reported reasons for staying. Human Resource Management, 48(2), 269–288. https://doi.org/10.1002/hrm.20279 [Google Scholar] [Crossref]
12. Hayes, A. F. (2018). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach (2nd ed.). Guilford Press. [Google Scholar] [Crossref]
13. Kim, H., & Kao, D. (2014). A meta-analysis of turnover intention predictors among U.S. child welfare workers. Children and Youth Services Review, 47, 214–223. [Google Scholar] [Crossref]
14. Koopmans, L., Bernaards, C. M., Hildebrandt, V. H., Van Buuren, S., Van der Beek, A. J., & De Vet, H. C. W. (2014). Improving the individual work performance questionnaire using Rasch analysis. Journal of Applied Measurement, 15(2), 160–175. [Google Scholar] [Crossref]
15. Lewis, R. E., & Heckman, R. J. (2006). Talent management: A critical review. Human Resource Management Review, 16(2), 139–154. https://doi.org/10.1016/j.hrmr.2006.03.001 [Google Scholar] [Crossref]
16. Mitsakis, F. V. (2020). Human resource management (HRM), talent management and employee retention in organizations. International Journal of Scientific and Research Publications, 10(12), 142–152. [Google Scholar] [Crossref]
17. World Health Organization [Google Scholar] [Crossref]
18. World Health Organization. (2020). State of the world's nursing 2020: Investing in education, jobs and leadership. World Health Organization. [Google Scholar] [Crossref]
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