Unifying the fragmented models of information systems implementation
Critical issues in information systems research
Communications of the ACM
Sub-Saharan Africa: a technological desert
Communications of the ACM
International Journal of Man-Machine Studies
Multivariate data analysis (4th ed.): with readings
Multivariate data analysis (4th ed.): with readings
Task-technology fit and individual performance
MIS Quarterly
Cyberspace across the Sahara: computing in North Africa
Communications of the ACM
Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior
Information Systems Research
An empirical study on predicting user acceptance of e-shopping on the Web
Information and Management
Exploring consumer adoption of mobile payments - A qualitative study
The Journal of Strategic Information Systems
The acceptance and use of a virtual learning environment in China
Computers & Education
Task-technology fit for mobile locatable information systems
Decision Support Systems
The impact of use context on mobile services acceptance: The case of mobile ticketing
Information and Management
Integrating TTF and UTAUT to explain mobile banking user adoption
Computers in Human Behavior
An international comparison of technology adoption
Information and Management
| Hi-index | 0.00 |
Understanding individual acceptance and use of Information and Communication Technology ICT is one of the most mature streams of information systems research. In Information Technology and Information System research, numerous theories are used to understand users' adoption of new technologies. Various models were developed including the Innovation Diffusion Theory, Theory of Reasoned Action, Theory of Planned Behavior, Technology Acceptance Model, and recently, the Unified Theory of Acceptance and Use of Technology. Each of these models has sought to identify the factors which influence consumers' intention or actual use of information technology. This research composes a new hybrid theoretical framework to identify the factors affecting the acceptance and use of Mobile Internet -as an ICT application-in a consumer context. The proposed model incorporates eight constructs: Performance Expectancy, Effort Expectancy, Facilitating Conditions, Social Influences, Perceived Value, Perceived Playfulness, Attention Focus, and Behavioral intention. Individual differences-namely, age, gender, education, income, and experience are moderating the effects of these constructs on behavioral intention and technology use.