Using an extended technology acceptance model to understand the behavioral adoption intention of mobile commerce among Chinese consumers
Bibliographic Data
| ID | 21500901 |
|---|---|
| Authors | Yijun Liu (0000-0002-0047-3946, Ningbo Polytechnic), Isaac Kofi Mensah (0000-0003-2964-1736, Wuhan College, corresponding author) |
| Year | 2024 |
| Publication date | 2024-09-09 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Information Development (JOURNAL) |
| Journal identifiers | ISSN: 0266-6669 • E-ISSN: 1741-6469 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/02666669241277153 |
| OpenAlex | W4402393196 |
| Language | EN |
| Citations received | 3 |
| References cited | 73 |
The ubiquitous nature of mobile handsets is enhancing consumers’ shopping experience and thus encouraging extensive m-commerce adoption. The personality traits of the users of m-commerce vary and thus understanding the perspective of people to utilize mobile commerce systems is vital. This study thus examined the factors that drive Chinese consumers to adopt m-commerce. The Technology Acceptance Model (TAM) was utilized as the theoretical foundation while the analysis was completed with AMOS using structural equation model techniques. The results have demonstrated that perceived usefulness and perceived ease of use influence m-commerce adoption intentions. Also, service quality along with security, and privacy, were found to significantly drive mobile commerce adoption intentions. Perceived risk showed a significant but negative impact on adoption intentions of m-commerce. Familiarity showed a significant positive three-dimensional impact on PU, PEOU, and m-commerce adoption intentions. The theoretical and managerial repercussions of these results on m-commerce development and diffusion are discussed
Advertising · Business · Human–computer interaction · Internet privacy · Knowledge management · Mobile commerce · Mobile device · Mobile technology · Social influence · Technology Acceptance Model · Theory of planned behavior · Unified theory of acceptance and use of technology · Usability · World Wide Web · Computer Science · Consumer Retail Behavior Studies · Digital Marketing and Social Media · Psychology · Social Psychology · Technology Adoption and User Behaviour · Marketing
Beyond a tandem analysis of SEM and PROCESS
Common method bias in applied settings
Understanding the Internet banking adoption
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Sources of Method Bias in Social Science Research and Recommendations on How to Control It
Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology
User Acceptance of Computer Technology
Comparison of Convenience Sampling and Purposive Sampling
Perceived value and continuance intention in mobile government service in China
High-quality digital distance teaching during Covid-19 school closures
Resistance to facial recognition payment in China
Adopting AI
Predicting Older Adults’ Mobile Payment Adoption
A multi-group analysis of convenience samples
| Unique citing works | 3 |
|---|---|
| Citations per year | 3 |
| Citation span | 2025 - 2026 (2) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 3 |