The Effect of Remote Work Policies on Employee Retention
Keywords:
turnover, job satisfaction, organizational support, hybrid policies, employee retention, remote workAbstract
This study investigates the effect of remote work policies on employee retention by employing a mixed-methods experimental design that combined quantitative analysis of organizational data with qualitative interviews. Archival human resource records spanning three years were examined alongside survey data and thematic interview insights, enabling a comprehensive exploration of how remote, hybrid, and on-site policies influence retention outcomes. The quantitative findings demonstrated that remote work policies significantly reduced turnover rates, with hybrid arrangements yielding the highest retention levels. Regression analysis confirmed that flexibility and organizational support were strong predictors of retention, while ANOVA revealed statistically significant differences across job roles and age groups. The qualitative analysis reinforced these results, revealing that employees valued autonomy, reduced commuting burdens, and improved work–life integration, but also identified challenges related to social isolation and career visibility in fully remote settings. Figures visualized retention trends, satisfaction distributions, engagement patterns, and exit reasons across multiple policy types, while tables provided detailed metrics on tenure, job satisfaction, and managerial support. Collectively, the results suggest that hybrid policies provide the optimal balance between flexibility and collaboration, thereby enhancing retention more effectively than rigid or fully remote models. The findings contribute to the ongoing debate on the future of work by demonstrating that remote work policies, when supported by leadership and cultural integration, are not merely short-term crisis responses but enduring strategies to strengthen employee loyalty. The study offers both theoretical contributions to organizational behavior literature and practical implications for human resource management.
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Copyright (c) 2025 Noman Rahman, Hira Saeed (Author)

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

