The Impact of Remote Work on Employee Engagement and Productivity in Tech Firms

Thesis Abstract

The rapid shift to remote work within the technology sector has transformed traditional workplace dynamics, raising questions about its impact on employee engagement and productivity. This study investigates the extent to which remote work influences these key organizational outcomes in tech firms, with a focus on identifying the mechanisms that mediate and moderate this relationship. The primary aim is to evaluate how the adoption of remote work arrangements affects employee engagement and productivity levels, contributing to organizational effectiveness and competitive advantage. The specific objectives include (1) assessing the correlation between remote work and employee engagement, (2) examining the relationship between remote work and employee productivity, (3) exploring moderating factors such as technological support and organizational culture, and (4) identifying potential challenges and benefits associated with remote work implementation. The research adopts a quantitative, cross-sectional survey design to achieve its objectives. The population comprises 1,200 employees working in mid-to-large-sized tech companies operating in metropolitan regions. A stratified random sampling technique is employed to select a representative sample of 300 employees across various departments, ensuring diversity in age, gender, tenure, and job roles. Data collection instruments include a structured questionnaire developed through an extensive review of existing validated scales—such as the Utrecht Work Engagement Scale (UWES) and the Individual Work Performance Questionnaire (IWPQ)—adapted to the remote work context. Additional items measure organizational support, technological infrastructure, and perceived challenges of remote work. To ensure reliability and validity, the instrument undergoes pilot testing, and Cronbach's alpha coefficients above 0.8 are confirmed across scales. Data analysis involves descriptive statistics for demographic profiling, followed by inferential analyses including multiple regression analysis to determine the relationships between remote work and employee engagement and productivity, and moderation analysis using PROCESS macro for SPSS to examine moderating variables. Structural equation modeling (SEM) is employed to test the hypothesized model comprehensively, with model fit indices such as CFI, TLI, and RMSEA used to validate the proposed relationships. Theoretical frameworks guiding analysis include the Job Demands-Resources (JD-R) theory, which explains how job resources and demands influence engagement, and the Social Exchange Theory, which is used to interpret organizational-employee reciprocity in remote arrangements. Expected findings suggest that remote work positively correlates with employee engagement and productivity, mediated by perceived organizational support and technological adequacy. Conversely, challenges such as social isolation and communication barriers are anticipated to have adverse effects, moderated by organizational culture and managerial support. These insights will contribute to the literature by providing empirical evidence from the tech sector, which experiences unique demands due to rapid innovation cycles and virtual collaboration requirements. This study's contribution to knowledge lies in its comprehensive analysis of remote work's dual impact on engagement and productivity, contextualized within the technology industry. It highlights factors that facilitate or hinder effective remote work implementation, offering actionable insights for organizational policy and human resource practices. The main conclusion underscores that while remote work can enhance employee engagement and productivity, its success largely depends on strategic organizational support, technological infrastructure, and cultural adaptability. Recommendations include fostering digital literacy, strengthening remote communication channels, and developing flexible work policies that balance autonomy with social integration. Future research should explore longitudinal impacts of remote work and investigate sector-specific variations to further refine remote work strategies in diverse organizational contexts.