Mobile commerce: framework, applications and networking support
Mobile Networks and Applications
Mobile Business Strategies: Understanding the Technologies and Opportunities
Mobile Business Strategies: Understanding the Technologies and Opportunities
Towards a classification framework for mobile location services
Mobile commerce
Building Effective Online Marketplaces with Institution-Based Trust
Information Systems Research
Why spoofing is serious internet fraud
Communications of the ACM
HICSS '07 Proceedings of the 40th Annual Hawaii International Conference on System Sciences
Examining customers' trust in online vendors and their dropout decisions: An empirical study
Electronic Commerce Research and Applications
The effects of perceived risk and technology type on users' acceptance of technologies
Information and Management
A model of consumer acceptance of mobile payment
International Journal of Mobile Communications
Factors influencing consumers' willingness to accept mobile advertising: a conceptual model
International Journal of Mobile Communications
Past, present and future of mobile payments research: A literature review
Electronic Commerce Research and Applications
The Role of Push-Pull Technology in Privacy Calculus: The Case of Location-Based Services
Journal of Management Information Systems
Understanding consumer acceptance of mobile payment services: An empirical analysis
Electronic Commerce Research and Applications
Smart mobile media services: consumer intention model
Proceedings of the 8th International Conference on Advances in Mobile Computing and Multimedia
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The widespread penetration of smart mobile devices has facilitated rapid growth of mobile location-based services LBS, which provide users with a variety of benefits and are attractive from a marketing perspective. However, mobile-payment M-Payment adoption by users has been below expectations. For better understanding of drivers and inhibitors of the willingness to M-Pay for mobile LBS, this study contributes by conceptual modeling and empirical assessment of user willingness to M-Pay. To test the proposed conceptual research model, data from 122 valid responses were analyzed by employing the Partial Least Squares PLS technique. The findings show that Perceived Risk is the main inhibitor of user willingness to M-Pay for LBS and that the magnitude of this inhibitor's negative impact is at least twice the magnitude of any driver's positive impact.