Impact of Remote Work on Employee Engagement and Productivity in Technology Firms

Thesis Abstract

The rapid transition to remote work in technology firms amidst increasing digital transformation has prompted significant interest in understanding its implications for employee engagement and productivity. This study investigates the impact of remote working arrangements on these critical organizational outcomes, given the shift from traditional office-based work to flexible telecommuting modalities precipitated by the COVID-19 pandemic and evolving workplace expectations. The primary aim is to assess the extent to which remote work influences employee engagement levels and productivity metrics in technology firms, with specific objectives of examining the mediating role of communication effectiveness, technological readiness, and work-life balance, alongside exploring moderating effects of demographic variables such as age and tenure. Employing a sequential mixed-methods research design, the study integrates quantitative and qualitative approaches to generate comprehensive insights. The quantitative phase adopts a correlational survey design, targeting a population of 350 employees working remotely or in hybrid arrangements across ten leading technology firms, selected through stratified random sampling to ensure representation across departments and hierarchical levels. Data are collected via a structured questionnaire comprising validated scales measuring employee engagement, perceived productivity, communication quality, and work-life balance, with reliability confirmed by Cronbach’s alpha coefficients exceeding 0.80. In addition, organizational records provide objective productivity data where accessible. The qualitative phase involves semi-structured interviews with 20 managers and team leads, purposively sampled to explore contextual factors influencing remote work outcomes. Data are analyzed through multiple regression analysis using SPSS to test hypothesized relationships, while thematic analysis in NVivo identifies emerging themes from interview transcripts, facilitating triangulation and a richer interpretation of results. It is anticipated that the findings will reveal a positive correlation between remote work and employee engagement, mediated significantly by effective communication and technological support, with productivity outcomes varying based on employees’ demographic attributes. Enhanced remote work practices are expected to foster greater work-life balance, thus contributing to higher engagement and perceived productivity, although challenges such as isolation and technological disruptions may moderate these relationships. The study also aims to contribute novel insights into the applicability of Self-Determination Theory and the Job Demands-Resources Model in the context of remote work, expanding theoretical understanding of employee motivation and resource allocation in virtual environments. This research advances knowledge by providing empirical evidence on the nuanced dynamics of remote work in the technology sector, bridging gaps in existing literature that predominantly focus on organizational perspectives rather than individual employee experiences. The insights gained are intended to inform managerial strategies, promote effective remote work policies, and support organizational agility and resilience in a rapidly changing work landscape. The main conclusion underscores the importance of strategic communication, robust technological infrastructure, and inclusive policies in optimizing remote work benefits while mitigating associated challenges. Recommendations emphasize the need for ongoing digital competency development, fostering organizational culture in virtual settings, and implementing tailored interventions to enhance employee engagement and productivity. Future research directions include longitudinal studies to examine long-term effects, cross-cultural comparisons, and the impact of emerging remote work technologies, thereby contributing to continuous improvement in remote working frameworks within the technology industry.