Predicting Self-Service Technology Intention:From Utilitarian and Hedonic Perspectives

• Main Authors: Chou-Lin Wu, 吳周霖
• Other Authors: Chiao-Chen Chang
• Format: Others
• Language: en_US
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/72313977629979779312

碩士 === 國立東華大學 === 國際企業學系 === 100 === Based on the UTAUT model, this study aims to explore the factors that influence users’ behavioral intentions to use self-service technology. A 2 (Utilitarian vs. Hedonic) × 2 (Kiosk vs. WBSS) mixed design was conducted in this study. A structural equation-modeling approach was applied to identify the variables that significantly affect the intention of using self-service technology. Using Amos 18.0, 453 complete and useful samples were including in this study. We found that performance expectancy, social influence, and task technology fit had significant effects on behavioral intention to use self-service technology. In addition, the types of self-service technology had significant moderating effects among performance expectancy, effort expectancy, social influence, task technology fit, and behavioral intention. Theoretical and managerial implications were also presented.