This study proposes a research framework that integrates personal innovativeness, perceived risk, cost and enjoyment with the technology acceptance model (TAM). We used the proposed model to explore the antecedents of consumer behavioural intention (BI) to adopt mobile commerce (m-commerce). Excluding missing answers and invalid questionnaires, 477 valid responses were collected. In addition to confirmatory factor analysis (CFA), we used structural equation modelling (SEM) to examine the relationships among the constructs in the proposed model. Our findings indicated that the younger group (under 30) had lower stickiness to m-commerce. Among the constructs, perceived enjoyment (PE) had the most significant influence on BI, followed by attitude, perceived ease of use (PEOU), perceived usefulness (PU) and perceived risk. Our research results could be used as a guide and reference for m-commerce service providers to improve and operate their services.
All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Computer Networks and Communications
- Library and Information Sciences