Online Purchase Intention Under the Integration of Theory of Planned Behavior and Technology Acceptance Model

Abstract

This study focuses on predicting the online purchase intention of consumers purchasing from e-commerce platforms using an integrated model of the theory of planned behavior (TPB) and extended technology acceptance model (TAM). The results showed that TAM factors, perceived value, and perceived enjoyment had significant effects on attitude toward online purchase, while the TPB inputs, perceived enjoyment, and e-commerce exchange image played strong roles in influencing online purchase intention. The results also showed that perceived enjoyment helped to raise the predictive power of attitude dramatically, while the e-commerce exchange image contributed a high portion to explain online purchase intention variation. The results indicated that the e-commerce trading platforms need to focus on improving their images and on increasing customers’ experience to improve their business performance.

Factors affecting the use of artificial intelligence generated content by subject librarians: A qualitative study

“…In IPA, the data are collected based on semi-structured interviews. In view of the fact that AIGC is a new technology for library subject librarians, and the TAM is a well-established model for predicting and perceiving users’ acceptance and use of new technologies [ 25 ], this model was introduced to design interview contents to explore the external variables of perceived ease of use and perceived usability of AIGC application in subject librarians.…”