PROJECTS
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
Project lead: PROF. MADYA DR. WAN MOHAMAD ASYRAF BIN WAN AFTHANORHAN
Project member: PROF. MADYA DR. PUSPA LIZA BINTI GHAZALI , PROF. DR. ZAINUDIN BIN AWANG , PROF. MADYA DR. NIK MOHD NORFADZILAH BIN NIK MOHD RASHID
UTime : University Course and Examination Timetabling System
Project Overview:
University course and examination timetabling is one of the most important and time-consuming problem in the universities. UTime: University Course and Examination Timetabling System is an effective solution that can optimize the solution for the timetable management in order to eliminate and minimize the number of conflicts. The system is hybrid by applying a heuristic approach and Ant Colony Optimization (ACO). The key features of our algorithm are the use of simplified pheromone matrices (representing event-timeslots and event-room relations, respectively) in order to improve convergence but still provide enough flexibility for effectively guiding the solution during construction process of generating timetabling. UnISZA is using UTime almost 10 years starting 2014 and few university oppoint the project leader as a consultant.
Grant Amount: RM60,000.00
Grant Period: 1 Year
Funding Organizer: UniSZA
Project lead: Prof. Ts. Dr. Mokhairi Makhtar
Project member:
