Digital Work Environment Innovation and Employee Turnover Intention in the Retail Industry: Evidence from the Eyewear Sector
Authors
Student, Faculty of Business Management, UiTM Puncak Alam, Selangor (Malaysia)
Faculty of Business Management, UiTM Puncak Alam, Selangor (Malaysia)
Faculty of Business Management, UiTM Puncak Alam, Selangor (Malaysia)
Faculty of Business Management, UiTM Puncak Alam, Selangor (Malaysia)
Faculty of Business Management, UiTM Puncak Alam, Selangor (Malaysia)
Faculty of Business Management, UiTM Puncak Alam, Selangor (Malaysia)
Article Information
DOI: 10.47772/IJRISS.2026.10100370
Subject Category: Supply Chain Management
Volume/Issue: 10/1 | Page No: 4787-4791
Publication Timeline
Submitted: 2026-01-20
Accepted: 2026-01-26
Published: 2026-02-07
Abstract
Digital Workplace Innovation and Employee Turnover Intention in the retail eyewear industry. Employees of a private eyewear retail company participated in a quantitative survey, and multiple regression analysis and correlation were used to examine the results. The findings indicate that employee turnover intention is significantly impacted by technology-enabled career development, digital workplaces, creative compensation schemes, and technology-driven employee relationship management. By emphasizing the ways in which workplace practices can be transformed digitally to encourage employee retention, this study adds to the body of research on digital HR innovation. The report also provides useful information for retail businesses looking to lower staff turnover through digital advances.
Keywords
Human resource information systems; retail business; employee turnover intention; HR innovation; and the digital workplace
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References
1. Allen, D. G., Bryant, P. C., & Vardaman, J. M. (2010). Retaining talent: Replacing misconceptions with evidence-based strategies. Academy of Management Perspectives, 24(2), 48–64. [Google Scholar] [Crossref]
2. Balkin, D. B., & Gomez-Mejia, L. R. (2017). Compensation strategy and firm performance. Academy of Management Perspectives, 31(2), 164–180. [Google Scholar] [Crossref]
3. Bondarouk, T., & Brewster, C. (2016). Conceptualising the future of HRM and technology research. The International Journal of Human Resource Management, 27(21), 2652–2671. [Google Scholar] [Crossref]
4. Cropanzano, R., & Mitchell, M. S. (2005). Social exchange theory: An interdisciplinary review. Journal of Management, 31(6), 874–900. [Google Scholar] [Crossref]
5. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. [Google Scholar] [Crossref]
6. De Vos, A., & Meganck, A. (2009). What HR managers do versus what employees value: Exploring both parties’ views on retention management. Personnel Review, 38(1), 45–60. [Google Scholar] [Crossref]
7. Gerhart, B., & Fang, M. (2015). Pay for (individual) performance: Issues, claims, evidence and the role of sorting effects. Human Resource Management Review, 25(1), 12–23. [Google Scholar] [Crossref]
8. Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage. [Google Scholar] [Crossref]
9. Kaur, S., & Randhawa, G. (2020). Exploring the influence of supportive supervisors on organizational commitment: Role of career satisfaction. International Journal of Organizational Analysis, 28(1), 108– 123. [Google Scholar] [Crossref]
10. Marler, J. H., & Fisher, S. L. (2013). An evidence-based review of e-HRM and strategic human resource management. Human Resource Management Review, 23(1), 18–36. [Google Scholar] [Crossref]
11. Milkovich, G. T., Newman, J. M., & Gerhart, B. (2014). Compensation (11th ed.). McGraw-Hill. [Google Scholar] [Crossref]
12. Noe, R. A., Clarke, A. D. M., & Klein, H. J. (2014). Learning in the twenty-first-century workplace. Annual Review of Organizational Psychology and Organizational Behavior, 1, 245–275. [Google Scholar] [Crossref]
13. Parry, E., & Strohmeier, S. (2014). HRM in the digital age – Digital changes and challenges of the HR profession. Employee Relations, 36(4), 337–352. [Google Scholar] [Crossref]
14. Ringle, C. M., Sarstedt, M., Mitchell, R., & Gudergan, S. P. (2020). Partial least squares structural equation modeling in HRM research. The International Journal of Human Resource Management, 31(12), 1617– 1643. [Google Scholar] [Crossref]
15. Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press. [Google Scholar] [Crossref]
16. Ruel, H., Bondarouk, T., & Looise, J. C. (2004). E-HRM: Innovation or irritation? An explorative empirical study in five large companies on web-based HRM. Management Revue, 15(3), 364–380. [Google Scholar] [Crossref]
17. Strohmeier, S. (2020). Digital human resource management: A conceptual clarification. German Journal of Human Resource Management, 34(4), 345–365. [Google Scholar] [Crossref]
18. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. [Google Scholar] [Crossref]
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