Impact of Remote Work on Employee Engagement and Productivity Outcomes

Thesis Abstract

The rapid transition to remote work arrangements, accelerated by the global COVID-19 pandemic, has fundamentally reshaped traditional work environments and raises critical questions about its impact on employee engagement and productivity outcomes. This study investigates the extent to which remote work influences these vital organizational metrics, aiming to provide empirical insights into this contemporary phenomenon. The primary objectives are to examine the relationship between remote work practices and employee engagement levels, assess the impact of remote work on individual and team productivity, and identify mediating and moderating factors that influence these relationships within the context of corporate organizations. Employing a descriptive cross-sectional research design, the study targets a population of 1,200 full-time employees across the information technology, financial services, and manufacturing sectors within the metropolitan region. A stratified random sampling technique is utilized to select a sample of 300 respondents, ensuring proportional representation across industries and organizational levels. Data collection instruments include structured questionnaires that measure variables such as remote work frequency, employee engagement (using the Utrecht Work Engagement Scale), and productivity metrics (self-reported and supervisor-rated). To enhance data validity and reliability, pilot testing is conducted with a subset of 30 participants, and instruments are validated through content validation by HR specialists and statistical testing of Cronbach’s alpha coefficients. The collected data are analyzed using a combination of descriptive statistics, Pearson’s correlation analysis, and multiple regression analysis to identify the strength and nature of relationships among variables. Structural equation modeling (SEM) via AMOS software is employed to test the hypothesized theoretical framework, grounded in the Job Demands-Resources (JD-R) theory and Self-Determination Theory, which posit that remote work influences engagement and productivity through job resources and autonomy. Additional moderating variables such as organizational support and technology accessibility are examined to contextualize findings. It is anticipated that the results will reveal a statistically significant positive correlation between remote work frequency and employee engagement levels, mediated by perceived autonomy and organizational communication quality. Furthermore, remote work is expected to be associated with increased individual productivity, although variability is likely dependent on organizational support and individual differences. These findings are expected to contribute to the literature by empirically validating the conditional effects of remote work on engagement and productivity, addressing existing gaps concerning sector-specific outcomes and mediating factors. The study's contribution to knowledge lies in developing an integrated model that explicates the relationships among remote work arrangements, employee engagement, and productivity, supported by robust empirical evidence. Additionally, the findings will inform organizational policies by highlighting the importance of support structures and technological infrastructure in optimizing remote work benefits. The study concludes that, when properly managed, remote work enhances both engagement and productivity, but underscores the need for strategic organizational interventions. Based on these insights, practical recommendations include strengthening remote work policies that foster autonomy, enhancing technological support, and promoting proactive communication to sustain engagement and productivity. The study further suggests avenues for future research, particularly longitudinal studies to explore causal relationships over time and sector-specific analyses to tailor remote work practices. Overall, this research provides a critical foundation for organizations seeking to optimize remote work strategies in an evolving business landscape.