A Study on the Impact of Perceived Ease of Use of Information Technology on Operational Benefits of GIG Cab Drivers

The rapid expansion of the gig economy has made information technology an indispensable component of app-based cab driving, where digital platforms govern ride allocation, navigation, payments, performance ratings, and customer interaction. In this context, the ability of cab drivers to effectively use technology directly influences their work efficiency and income stability. Drawing on the Technology Acceptance Model (TAM) and its extensions, the present study focuses on Perceived Ease of Use (PEOU) as a key determinant of technology interaction among gig cab drivers. The study specifically examines whether perceived ease of use differs according to educational qualification and how it is associated with operational benefits experienced by drivers. Using primary data collected from 75 gig cab drivers, the study employs ANOVA and correlation analysis to test the proposed objectives and hypotheses. The findings reveal a significant difference in perceived ease of use across educational levels, with higher-qualified drivers reporting greater ease in using information technology. Further, a moderate and statistically significant positive relationship is observed between perceived ease of use and operational benefits, indicating that drivers who find technology easier to use experience better efficiency, time management, and smoother work processes. The study concludes that improving usability and digital capability among cab drivers, especially those with lower educational backgrounds, can enhance operational performance and sustainability in the gig mobility sector.