Comparative study of self-service technology adoption based on product function

Abstract

With the rapid development of modern information technology, more and more Self-service Technologies (SSTs) have emerged and won more and more customers increasingly. But some types of SSTs are not accepted by the customers. This study firstly divided SSTs into financial and specialty classes based on the product function. Then, a technology acceptance model was proposed on the basis of analysis of SSTs adoption behavior. Finally, the data were collected from users of automated teller machines and automated boarding machines in china through site interview and processed by structural equation modeling analysis method. The study found that both perceived risk and perceived security have significant impact on users' adoption of financial SSTs while perceived ease of use and perceived enjoyment positively affect specialty SSTs adoption behavior and the effects of perceived usefulness and the self-efficacy on customers were alike. © 2013 Asian Network for Scientific Information.