Assessing IT usage: the role of prior experience
MIS Quarterly
An empirical investigation on factors affecting the acceptance of CASE by systems developers
Information and Management
Extending the TAM for a World-Wide-Web context
Information and Management
The Value of Internet Commerce to the Customer
Management Science
A System Architecture of Intelligent-Guided Browsing on the Web
HICSS '98 Proceedings of the Thirty-First Annual Hawaii International Conference on System Sciences-Volume 4 - Volume 4
The Impact of Electronic Commerce on the Travel Industry
HICSS '97 Proceedings of the 30th Hawaii International Conference on System Sciences: Information Systems Track—Internet and the Digital Economy - Volume 4
Examining the technology acceptance model using physician acceptance of telemedicine technology
Journal of Management Information Systems - Special section: Strategic and competitive information systems
Developing an explorative model for SaaS adoption
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
Combining the views from the Decomposed Theory of Planned Behavior and Technology Acceptance Model, this study proposes an integrated opinion to construct on-line consuming behavior patterns for travel. The nonlinear fuzzy network model were adopted to test and verify the sample data. The method of convenience sampling was employed and the questionnaires were distributed through e-mail sending, or were brought back by selected consumers, or were filled in on-line by access to the designated website. A total of 550 questionnaires were returned, giving a response rate of 35.6%. It concluded from the factor loading that among the three independent variables in this study, product marketing attracts customers most in respect to the ''Marketing Mix''. The possibility of misunderstanding information is higher in respect to the ''Perceived Risk'' of information from customers. The close relationship of the family works more effectively for decision making in respect to the ''Subjective Norms''. The three latent independent variables of ''Marketing Mix'', ''Perceived Risk'' and ''Subjective Norms'' are the three key factors that directly or indirectly influence the ''Attitude'' and the ''Behavioral Intention'' in this study.