Using Extended TAM model to Explore the Consumer Willingness for Intelligent Self-service Store

• Main Authors: OU, HUNG-CHUN, 歐鴻君
• Other Authors: SHYU, HUEY-PYNG
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/8ptsa7

碩士 === 國立高雄科技大學 === 資訊管理系 === 107 === With the advancement of the technology era and increasing labor costs, more and more convenience stores have introduced smart technology into stores, reducing the workload of convenience store staff and providing more services. This study proposes an integrated model based on the technology acceptance model to explore consumers' willingness to use intelligent self-service store. This study including six dimensions: " Perceived usefulness ", " Perceived ease of use", "Attitude toward using", "Behavioral intention to use", " Convenience", and "Perceived Novelty". We collected 283 questionnaires through questionnaire survey, and two sets of statistical software analysis, SPSS(Statistical Product and Service Solutions) Statistics Subscription and Amos Version 25, were used to describe the sample data, and the descriptive statistics, reliability and validity analysis, then the hypotheses and the model were verified through Structural Equation Modeling(SEM). The following management implications are obtained: We found that in the process of shopping in intelligent self-service store, "does it take less time and effort" to have a positive impact on "whether to increase the speed and efficiency of shopping" (H1); "Does it take less time and effort" to have a positive impact on "whether new technology is easy to use" (H2); "Whether to increase the speed and efficiency of shopping" to have a positive impact on "whether it is positive in shopping in the future" (H4); "Is it easy to get started with new technology" to have a positive impact on " whether it is positive in shopping in the future" (H5); "Whether it is positive in shopping in the future " to have a positive impact on "the tendency to continue shopping in self-service store in the future" (H7); " Perceived novelty when shopping" to have a positive impact on "the tendency to continue shopping in self-service store in the future" (H8); "Is it easy to get started with new technology" will not positively impact "whether to increase the speed and efficiency of shopping" (H3); "Whether to increase the speed and efficiency of shopping" will not positively impact "the tendency to continue shopping in self-service store in the future" (H6).