EXPLORING SELF-SERVICE TECHNOLOGY (SST) ON GRABCAR USERS: A DEVELOPED INTEGRATED POST-HOC STRUCTURAL EQUATION MODELING (POST-SEM)

Project Overview
This study seeks to address the complexity of selecting optimal theories or models in advanced transportation research by proposing a more comprehensive analytical approach. It utilizes Structural Equation Modeling combined with Post-Hoc analysis to enhance understanding of the relationships between various constructs and to facilitate comparison of means within specific groups, such as education level, job position, and social status. This methodology is applied to refine and test an existing model developed by Iqbal, Hassan, & Habibah (2018), which explores the effects of technology-based service innovations on customer satisfaction and loyalty. Focusing specifically on users of GrabCar in Malaysia, the study evaluates the service’s evolution, strengths, and weaknesses based on feedback from selected respondents. This research aims to provide a holistic overview that could guide future studies in the transportation sector, particularly those contributing to advancements in the industrial revolution 4.0, by highlighting areas of strength and potential improvement.

Grant Amount: RM34,000.00
Grant Period: 2 Years
Funding Organizer: FRGS-RACER