Assessing IT usage: the role of prior experience
MIS Quarterly
Issues and opinion on structural equation modeling
MIS Quarterly
Mobile data communications in China
Communications of the ACM - Mobile computing opportunities and challenges
International Journal of Human-Computer Studies - Human-computer interaction research in the managemant information systems discipline
Value-based Adoption of Mobile Internet: An empirical investigation
Decision Support Systems
Determinants of customer loyalty in the wireless telecommunications industry
Telecommunications Policy
Understanding the Adoption of Multipurpose Information Appliances: The Case of Mobile Data Services
Information Systems Research
User behaviors toward mobile data services: The role of perceived fee and prior experience
Expert Systems with Applications: An International Journal
The role of trust belief and its antecedents in a community-driven knowledge environment
Journal of the American Society for Information Science and Technology
Expert Systems with Applications: An International Journal
Determining the relative importance of mobile banking quality factors
Computer Standards & Interfaces
Examining users' intention to continue using social network games: A flow experience perspective
Telematics and Informatics
Computers in Human Behavior
Impact of different conceptualisations of system use on Facebook continuance
International Journal of Web Based Communities
Hi-index | 12.06 |
Given the large investments in mobile data services (MDS), it has become important to understand customers' decision-making processes as they pertain to the adoption and use of MDS. In the telecommunication domain, understanding the distinction between potential adopters and existing users is an important issue, as the use of information and communication technologies is associated with what has become known as the digital divide. This study attempts to develop a theoretical framework that identifies utilitarian and hedonic values as the key predictors of MDS acceptance and continuance. It also investigates the difference in the determinants between potential adopters and existing users. The proposed research model is empirically tested by using survey data collected from 120 potential adopters and 354 existing users. The results of structural equation modeling (SEM) show that the proposed research model provides a significant explanation of the variance of adoption intention and continued usage intention toward MDS. This study also clarifies the moderating role of direct experience with MDS in behavioral intention toward it. The results of this study would provide some guidelines to overcoming the digital divide in the context of MDS. Theoretical and practical implications of the findings are discussed.