The Impact of Remote Work on Employee Productivity and Job Satisfaction

Thesis Abstract

The widespread adoption of remote work has transformed traditional organizational structures, presenting both opportunities and challenges for employee productivity and job satisfaction. Despite growing implementation across various industries, there remains limited empirical consensus on the extent to which remote work influences these critical work outcomes, especially in the context of evolving digital workplace technologies and organizational support systems. This study aims to empirically examine the impact of remote work arrangements on employee productivity and job satisfaction, with the specific objectives of quantifying the relationship between remote work frequency and productivity levels, assessing the influence of organizational support on job satisfaction, and identifying potential mediators such as work-life balance and perceived autonomy. Employing a cross-sectional survey research design, the study targeted employees working remotely within the financial services sector in a metropolitan city, with a total population of approximately 10,000 employees across multiple organizations. A stratified random sampling technique was used to select a sample of 384 participants, representative of various organizational levels and roles. Data collection was conducted through a structured questionnaire comprising validated scales; productivity was measured using the Individual Work Performance Questionnaire (IWPQ), while job satisfaction was assessed via the Job Satisfaction Survey (JSS). Additional items gauged perceived organizational support, work-life balance, and perceived autonomy. To ensure instrument validity and reliability, a pilot study was conducted on 30 respondents, and Cronbach’s alpha coefficients exceeded 0.80 across scales. Data analysis involved descriptive statistics for demographic profiling, Pearson correlation coefficients to examine relationships between variables, and multiple regression analysis to assess the influence of remote work on productivity and job satisfaction while controlling for demographic factors. Structural Equation Modeling (SEM) was employed using AMOS to test the hypothesized mediating effects of work-life balance and perceived autonomy. The theoretical framework is anchored in Herzberg’s Two-Factor Theory and Self-Determination Theory, which underpin the understanding of motivation, satisfaction, and performance within flexible work arrangements. Expected findings include a positive correlation between remote work frequency and employee productivity, contingent upon high perceived organizational support. Similarly, increased remote work engagement is anticipated to be associated with higher levels of job satisfaction, mediated by enhanced perceptions of autonomy and work-life balance. Conversely, insufficient organizational support may attenuate these positive effects, highlighting the importance of managerial practices in remote settings. The study is expected to contribute novel insights into the nuanced dynamics of remote work, emphasizing the moderating and mediating roles of organizational and individual factors. The findings aim to inform organizational policies by delineating the conditions under which remote work maximizes productivity and enhances job satisfaction. The study concludes that strategic support, autonomy, and work-life balance are crucial in leveraging remote work as a sustainable and motivating work model. Recommendations for practitioners include implementing comprehensive remote work policies, investing in digital communication tools, and fostering organizational culture that values autonomy and employee well-being. The research further suggests avenues for future studies, such as longitudinal investigations to explore causal effects over time and sector-specific analyses to generalize findings across diverse industries. Ultimately, this research advances the understanding of remote work's implications, providing empirical evidence to guide effective management practices in a digitally transformed workplace landscape.