The technology acceptance model and the World Wide Web
Decision Support Systems
Factors influencing the adoption of Internet banking
Journal of the AIS
Mobile commerce: framework, applications and networking support
Mobile Networks and Applications
Why do people play on-line games? an extended TAM with social influences and flow experience
Information and Management
Electronic commerce adoption: an empirical study of small and medium US businesses
Information and Management
What drives mobile commerce? An empirical evaluation of the revised technology acceptance model
Information and Management
Exploring factors affecting the adoption of mobile commerce in Singapore
Telematics and Informatics
A review for mobile commerce research and applications
Decision Support Systems
Adoption of internet banking: an empirical study in Hong Kong
Decision Support Systems
A confidence-based framework for business to consumer (B2C) mobile commerce adoption
Personal and Ubiquitous Computing
Predicting and explaining the adoption of online trading: An empirical study in Taiwan
Decision Support Systems
Adoption of 3G services among Malaysian consumers: an empirical analysis
International Journal of Mobile Communications
Cell phone banking: predictors of adoption in South Africa-an exploratory study
International Journal of Information Management: The Journal for Information Professionals
Predicting m-commerce adoption determinants: A neural network approach
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Evaluation of mobile services and substantial adoption factors with Analytic Hierarchy Process (AHP)
Telecommunications Policy
NFC mobile credit card: The next frontier of mobile payment?
Telematics and Informatics
Journal of Electronic Commerce in Organizations
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Advancements in wireless communications have increased the number of people using mobile devices, and have accelerated the growth of mobile commerce (m-commerce). This study aims to investigate the factors that predict consumer intention to adopt m-commerce in Malaysia and China. The work extends the traditional technology acceptance model (TAM) and diffusion of innovation (DOI) model, and includes additional variables such as trust, cost, social influence, variety of services, and control variables such as age, educational level, and gender of consumers. By comparing consumers from both Malaysia and China, this research is able to form a prediction model based on two different cultural settings. Data was collected from 172 Malaysian consumers and 222 Chinese consumers, and hierarchical regression analysis was employed to test the research model. The results showed that age, trust, cost, social influence, and variety of services are able to predict Malaysian consumer decisions to adopt m-commerce. Trust, cost, and social influence can be used to predict Chinese consumer decisions to adopt m-commerce. This research confirms the need to extend the traditional TAM and DOI models when studying technology such as m-commerce. The results from this study will be useful for telecommunication and m-commerce companies in formulating marketing strategies.