Gig Economy Dynamics: Wage Volatility and Job Satisfaction Among Platform Workers

Abstract

Digital labour platforms have transformed jobs and work themselves and created new opportunities for flexible and on-demand employment. Meanwhile, platform workers often face volatility in earnings, inconsistent workloads, irregular work hours and shifting platform incentives, that can impact their job satisfaction. The study examines the relationship between wage volatility and job satisfaction among the platform workers, and looks at the factors affecting the employment experiences of platform workers including the economic factors and work-related factors. The study focuses on the wage variability as a central aspect of gig work and explores how wage variability relates to income security, work-life balance, autonomy, workload, platform dependence and satisfaction with work conditions. It also examines how factors such as flexibility, hours worked, platform support and dependence on gig work impact the relationship between earnings instability and job satisfaction. This study is quantitative, data collected from primary sources on platforms, and platform workers in different kinds of jobs such as ride hailing, food delivery, logistics, online freelancing and other apps mediated services. Descriptive statistics, correlation or regression can be used to analyse the relationships between the study variables. The overall study will probably contribute to the existing literature on platform labour, and will give insights into how income insecurity relates to workers' experience of flexibility and quality of work. The research explores both the economic and subjective aspects of gig work to gain a deeper understanding of job satisfaction in digitally mediated labour markets. Results also have implications for platform companies and policy-makers and labour scholars interested in considering alternative models of more sustainable and worker-friendly platform work.