Using the technology acceptance model and innovation diffusion theory to explore the intention of using E-bike

• Main Authors: Chia-Chin Chang, 張嘉衿
• Other Authors: Ying-Jiun Hsieh
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi/login?o=dnclcdr&s=id=%22107NCHU5230026%22.&searchmode=basic

碩士 === 國立中興大學 === 科技管理研究所 === 107 === In recent years, the electric-assisted bicycles (E-bike) have set off a whole new trend in the European and American bicycle market. Comparing with the traditional design, the operation of electric-assisted bicycle was supported by an additional electric motor and lithium battery, which greatly reduces the rider’s burden and tiredness when climbing uphill and significantly increases the riding distance while retaining the original riding pleasure of pedaling. The research object of this study aims on users who have used electric assisted bicycles and the questionnaire was distributed by the form of electronic questionnaire. In order to ensure that the respondent corresponds the target group, the questionnaire will be provided to the bicycle rental, and will be provide to the consumers who have finished their ride. This study conducts sample data analysis through questionnaires, applying SPSS 24.0 for narrative statistics, reliability and validity analysis, and the verification model and path analysis verification hypothesis are carried out through SMARTPLS. The results of the study shows that two of the nine hypotheses were invalid, that is, the relative advantage and compatibility had no significant positive impact on the attitude of use. Among these factors, perceptual ease of use had a significant effect on the perceptual usefulness, and the effect which perceptual usefulness affects the intention to use took the second place. Therefore, when consumers consider that the electric-assisted bicycle is handier, they will think that the product might benefit their daily life and willing to adopt it. This study attempts to discuss the factors that may affect consumers'' willingness to adopt electric-assisted bicycle while the electric-assisted bicycle is not yet popular in the domestic market, and hope to provide empirical information for the future commercialization of products. The advices will be based on the perspective of consumer orientation, and be provide to the government and electric-assisted bicycle industry or related industry as a reference in marketing and promoting.