The Factors Influencing Adoption Towards E-Hailing Services Among Users In Melaka

E-hailing is a process of ordering a taxi via mobile devices. Previously, the users always hail empty-cruising taxis on streets, which may offer low lower of comfort. The advance of technology helps to improve the efficiency of overall taxi system and enable the idea of using applications to locate...

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書目詳細資料
主要作者: Embong, Nor Hamizah
格式: Thesis
語言:English
English
出版: 2018
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在線閱讀:http://eprints.utem.edu.my/id/eprint/23699/1/The%20Factors%20Influencing%20Adoption%20Towards%20E-Hailing%20Services%20Among%20Users%20In%20Melaka%20-%20Nor%20Hamizah%20Embong%20-%2024%20Pages.pdf
http://eprints.utem.edu.my/id/eprint/23699/2/The%20factors%20influencing%20adoption%20towards%20e-hailing%20services%20among%20users%20in%20Melaka.pdf
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總結:E-hailing is a process of ordering a taxi via mobile devices. Previously, the users always hail empty-cruising taxis on streets, which may offer low lower of comfort. The advance of technology helps to improve the efficiency of overall taxi system and enable the idea of using applications to locate a taxi. The objective of the research is to identify the factor influence adoption towards e-hailing services in Melaka. The research model includes basic concept of Unified Theory of Acceptance and use of Technology (UTAUT). A survey questionnaire was developed to collect the data from 384 respondents in Melaka. This study used quantitative method to describe the variable, analyse relationship among variable and indicate the most influence factor of the adoption. This research study on four independent variable based on UTAUT model; 1) Performance Expectancy, 2) Effort Expectancy, 3) Social Influence and 4) Facilitating Condition towards adoption of e-hailing. The sample technique used is simple random sampling. Data collected was analysed using Statistical Package Social Science (SPSS) to find out the relationship and factor of adoption towards e-hailing by user in Melaka. The finding indicated that facilitating condition is the most influence factor on adoption towards e-hailing.