Task-technology fit and individual performance
MIS Quarterly
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Management Science
What drives mobile commerce? An empirical evaluation of the revised technology acceptance model
Information and Management
Adoption of Mobile Devices/Services — Searching for Answers with the UTAUT
HICSS '06 Proceedings of the 39th Annual Hawaii International Conference on System Sciences - Volume 06
Determinants of adoption of mobile games under mobile broadband wireless access environment
Information and Management
Exploring consumer adoption of mobile payments - A qualitative study
The Journal of Strategic Information Systems
Past, present and future of mobile payments research: A literature review
Electronic Commerce Research and Applications
Understanding the behavior of mobile data services consumers
Information Systems Frontiers
Information and Management
Exploring the black box of task-technology fit
Communications of the ACM - Rural engineering development
Analyzing the Basic Elements of Mobile Viral Marketing-An Empirical Study
ICMB '08 Proceedings of the 2008 7th International Conference on Mobile Business
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Decision Support Systems
Towards an understanding of the behavioral intention to use 3G mobile value-added services
Computers in Human Behavior
Consumer adoption of mobile TV: Examining psychological flow and media content
Computers in Human Behavior
The impact of use context on mobile services acceptance: The case of mobile ticketing
Information and Management
An adoption model for mobile banking in Ghana
International Journal of Mobile Communications
Perceived fit and satisfaction on online learning performance: an empirical study
Edutainment'11 Proceedings of the 6th international conference on E-learning and games, edutainment technologies
An empirical analysis of the determinants of 3G adoption in China
Computers in Human Behavior
Adaptive mobile web interface: user readiness in context
International Journal of Mobile Communications
Understanding users' initial trust in mobile banking: An elaboration likelihood perspective
Computers in Human Behavior
International Journal of Human-Computer Studies
Electronic Commerce Research and Applications
Predicting m-commerce adoption determinants: A neural network approach
Expert Systems with Applications: An International Journal
Can the demographic and subjective norms influence the adoption of mobile banking?
International Journal of Mobile Communications
Customer acceptance of playing online game on mobile phones
International Journal of Mobile Communications
A Preliminary Classification of Usage Measures in Information System Acceptance: A Q-Sort Approach
International Journal of Technology Diffusion
International Journal of E-Adoption
User acceptance of a community-based healthcare information system preserving user privacy
UAHCI'13 Proceedings of the 7th international conference on Universal Access in Human-Computer Interaction: applications and services for quality of life - Volume Part III
Computers in Human Behavior
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Journal of Medical Systems
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Due to its advantages such as ubiquity and immediacy, mobile banking has attracted traditional banks' interests. However, a survey report showed that user adoption of mobile banking was much lower than that of other mobile services. The extant research focuses on explaining user adoption from technology perceptions such as perceived usefulness, perceived ease of use, interactivity, and relative advantage. However, users' adoption is determined not only by their perception of the technology but also by the task technology fit. In other words, even though a technology may be perceived as being advanced, if it does not fit users' task requirements, they may not adopt it. By integrating the task technology fit (TTF) model and the unified theory of acceptance and usage of technology (UTAUT), this research proposes a mobile banking user adoption model. We found that performance expectancy, task technology fit, social influence, and facilitating conditions have significant effects on user adoption. In addition, we also found a significant effect of task technology fit on performance expectancy.