University students’ acceptance of e-hailing services A case study in Malacca city

Nik Ahmad Kamil, Nik Nadhirah (2018) University students’ acceptance of e-hailing services A case study in Malacca city. Project Report. Universiti Teknikal Malaysia Melaka, Melaka. (Submitted)

	Text (24 Pages) University Students' Acceptance Of E-Hailing Services A Case Study In Malacca City - Nik Nadhirah Nik Ahmad Kamil - 24 Pages.pdf - Submitted Version Download (282kB)
	Text (Full Text) University students’ acceptance of e-hailing services A case study in Malacca city.pdf - Submitted Version Restricted to Registered users only Download (1MB)

Abstract

Development in technology that relate with Global Positioning System (GPS) and internet accessibility has changed the way in transportation system to become more automated via smartphone. The explosion in on demand services through mobile apps have encouraged to implement a new innovation in transportation that meet the needs and wants of users. An E-hailing service is one of technological innovation in transportation which user can order the car through smartphone apps. Nowadays, most of universities encounter with a problems in transportation and also parking system because of increased number of students’ registration every year. The objectives of this research are to identify university student acceptance of e-hailing services and to investigate the significance relationship between students’ acceptance with e-hailing intention. Other than that, the research framework is adopted by Unified Theory of Acceptance and Use of Technology (UTAUT) model in order to identify factor that influence students’ acceptance on e-hailing services according to performance expectancy, effort expectancy, social factors, facilitating conditions, and behavioral intention. This research is conducting using descriptive research for analyse the relationship between independent variable and dependent variable. In this research, researcher use quantitative method through survey for distributing questionnaire among approximately 300 respondents among students from chosen universities (UITM, MMU and UTeM). For data analysis, multiple regressions have been used in order to find which among independent variables have a strong relationship between dependent variable (behavior intention).

Actions (login required)

View Item