The Impact of Remote Work on Employee Engagement and Productivity

Thesis Abstract

The proliferation of remote work arrangements, accelerated by global technological advancements and recent public health crises, has significantly transformed organizational practices and employee management strategies. Despite its widespread adoption, there remains limited empirical evidence on how remote work influences key organizational outcomes such as employee engagement and productivity. This study aims to systematically examine the impact of remote work on these two critical variables, with particular focus on identifying underlying mechanisms and contextual factors that modulate this relationship. The overall objective is to provide evidence-based insights to inform organizational policies and human resource strategies. Specifically, the study seeks to (1) assess the relationship between remote work frequency and levels of employee engagement; (2) determine the influence of remote work on employee productivity; (3) explore moderating factors such as organizational support, communication satisfaction, and individual work-life balance; and (4) contribute to theoretical understanding by testing the applicability of the Job Demands-Resources (JD-R) model and Self-Determination Theory in remote work contexts. The research adopts a mixed-methods approach, integrating quantitative and qualitative data to enhance the robustness of findings. The quantitative phase employs a cross-sectional survey design targeting a population of 500 employees working remotely across diverse industries within the manufacturing and service sectors. A stratified random sampling technique ensures representativeness across demographic and occupational groups. Data are collected through a structured questionnaire measuring remote work intensity, employee engagement (using the Utrecht Work Engagement Scale), productivity (self-rated and supervisor-rated), perceived organizational support, and work-life balance. Validity and reliability of the instruments are established through pilot testing and Cronbach’s alpha scores exceeding 0.80. Quantitative data are analyzed using multiple regression analysis to determine the strength and significance of relationships, while moderation effects are examined via hierarchical regression models. Complementing the quantitative findings, semi-structured interviews are conducted with 20 managers and 30 remote employees to explore contextual factors influencing engagement and productivity, analyzed thematically based on Braun and Clarke’s approach. These qualitative insights provide nuanced understanding of organizational support mechanisms, communication structures, and individual coping strategies in remote work arrangements. The study anticipates discovering that increased remote work frequency correlates positively with employee engagement when organizational support is robust, mediated by enhanced work autonomy and reduced commuting stress. Conversely, excessive remote work without adequate support is expected to diminish productivity, highlighting the importance of tailored human resource policies. The findings are expected to validate the applicability of the JD-R model and Self-Determination Theory in remote work settings, revealing key antecedents and outcomes. This research contributes to the scholarly literature by extending existing models of work engagement and performance into the remote work domain, offering a contextualized framework for understanding how digital work environments shape employee attitudes and behaviors. Practically, it provides actionable recommendations for organizations to optimize remote work strategies, including enhancing support structures, encouraging flexible communication, and fostering work-life balance to sustain high levels of engagement and productivity. In conclusion, the study underscores the complex interplay between remote work arrangements and organizational outcomes and emphasizes the need for evidence-based human resource practices. It advocates for a balanced approach that leverages the benefits of remote work while mitigating potential drawbacks through strategic support and policy interventions. Future research directions include longitudinal studies to examine causal effects and cross-cultural comparisons to explore contextual variability in remote work impacts.