Impact of Flexible Work Arrangements on Employee Productivity: A Multiple Regression Analysis

Abstract

Flexible work arrangements (FWAs) started as a discretionary organisational approach, but it has now become a structural feature of
contemporary labor in particular due to the growing rate of digitalisation and the changing nature of labour needs. Although flexibility in the
workplace and time is usually linked to increased employee satisfaction, its direct impact on productivity is not complex and has contextual
effects. This paper will look at how flexible work arrangements affect employee productivity in a quantitative design with multiple regression
analysis and ANOVA. A structured questionnaire using a five-point Likert scale was used to gather primary data on 218 employees in a variety
of sectors, including information technology, education and service industries. The research examines the four most important dimensions of
FWAs, which are flexibility in work, work-life balance, autonomy, and technological support, adjusting demographic factors, including age,
gender, and work experience. Cronbach's alpha and correlation analysis were done to determine the reliability and validity of the constructs. The
results show that work-life balance and autonomy have a strong positive impact on employee productivity, but technological support has a
moderate but significant impact. Work flexibility, on the other hand, does not have a statistically significant impact. The research opposes the
idea that flexibility would solely contribute to productivity and emphasises the importance of the supportive organisational mechanisms. A
significant percentage of the variance in productivity is explained by the regression model, and the results of ANOVA prove the overall
significance of the model. The paper concludes that flexible work arrangements work best when they are adopted as a system as opposed to
isolated practices. These results provide valuable theoretical and practical implications to organisations that want to maximise workforce
performance in a more flexible work environment.