Using Technology Acceptance Model, System Quality, Trust, Convenience and Perceptual Risk to Evaluate Consumer’s Willingness to Use Mobile Payment Service

碩士 === 龍華科技大學 === 企業管理系碩士班 === 107 === Smart phones have witnessed vigorous development and maturation in recent years. In the future, people will be able to go on long journeys, as long as they have a mobile phone at hand. In 2017, the Executive Yuan came out with the slogan “90% coverage rate of m...

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Bibliographic Details
Main Authors: Chen, Wei-Jhih, 陳威志
Other Authors: Lee, Wei-Chun
Format: Others
Language:zh-TW
Published: 2019
Online Access:http://ndltd.ncl.edu.tw/handle/sp6kjw
Description
Summary:碩士 === 龍華科技大學 === 企業管理系碩士班 === 107 === Smart phones have witnessed vigorous development and maturation in recent years. In the future, people will be able to go on long journeys, as long as they have a mobile phone at hand. In 2017, the Executive Yuan came out with the slogan “90% coverage rate of mobile payment in 2025.” Therefore, mobile payment has emerged as one of the certain future trends, and the cashless era is going to arrive soon. This study focused on consumers in Taiwan who had used mobile payment to study their intention to use it. Since mobile payment is a new payment technology, it is more appropriate to use the technology acceptance model to comprehend consumers’ acceptance of mobile payment. In addition, system quality, convenience, trust, and perceived risk are considered to investigate consumers’ intention to use. This study adopted a questionnaire survey approach by taking consumers as the research subjects. The collected data were verified by various statistical analysis methods. The results of this study validate the following points: 1. Perceived ease of use has a positive influence on the perceived usefulness of mobile payment. 2. Perceived usefulness has a positive influence on perceived ease of use. 3. Both perceived ease of use and perceived usefulness have a positive influence on attitude toward using. 4. Attitude toward using has a positive influence on intention to use. 5. Convenience, System quality, trust, and perceived risk have no influence on intention to use.