Combining TTF and UTAUT Theories to Explore the Adoption ofMobile Commerce Systems

• Main Authors: Cheng-Ta Lu, 呂政達
• Other Authors: Ching-Chang Lee
• Format: Others
• Language: zh-TW
• Online Access: http://ndltd.ncl.edu.tw/handle/54841177231856484739

碩士 === 國立高雄第一科技大學 === 資訊管理所 === 94 === Abstract In this study, we propose and validate a combined task–technology fit(TTF) model and UTAUT model to explore the adoption of mobile commerce in the real estate and insurance industry. In particular, we study： (1) combining TTF and UTAUT theories to explore the factors affecting the adoption of mobile commerce system and influence on individual difference performance; (2) exploring the model that constructs relation of combined TTF and UTAUT model; (3) analysis and compare to model of used mobile commerce systems in difference between real estate and insurance industry. Through our research finds：(1) user perceive that task–technology fit of used mobile commerce systems will be affect the performance expectancy; (2) user perceive that task–technology fit of used mobile commerce systems will be affect the effort expectancy; (3) the performance expectancy and the effort expectancy has been intervening between the influence of task–technology fit on behavioral intention. (4) the difference in constructs of task–technology fit will be difference affect the performance expectancy. (5) the difference in constructs of task–technology fit will be difference affect the effort expectancy. (6) the task–technology fit and use behavior will have additional explanatory power in predicting perceivied performance impacts beyond that form the task–technology fit or use behavior alone.