Mobile commerce: framework, applications and networking support
Mobile Networks and Applications
Wireless Commerce: Marketing Issues and Possibilities
HICSS '01 Proceedings of the 34th Annual Hawaii International Conference on System Sciences ( HICSS-34)-Volume 9 - Volume 9
HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 3 - Volume 3
Security of a Mobile Transaction: A Trust Model
Electronic Commerce Research
What drives mobile commerce? An empirical evaluation of the revised technology acceptance model
Information and Management
Perspectives of Mobile Advertising in Greek Market (short paper)
ICMB '05 Proceedings of the International Conference on Mobile Business
Exploring factors affecting the adoption of mobile commerce in Singapore
Telematics and Informatics
A review for mobile commerce research and applications
Decision Support Systems
Value-based Adoption of Mobile Internet: An empirical investigation
Decision Support Systems
The effect of service employees' technology readiness on technology acceptance
Information and Management
Analysis of Trust in Internet and Mobile Commerce Adoption
HICSS '07 Proceedings of the 40th Annual Hawaii International Conference on System Sciences
International Journal of Electronic Commerce
Individual Trust in Online Firms: Scale Development and Initial Test
Journal of Management Information Systems
The Use of the UTAUT Model in the Adoption of E-Government Services in Kuwait
HICSS '08 Proceedings of the Proceedings of the 41st Annual Hawaii International Conference on System Sciences
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
An overview of mobile banking adoption among the urban community
International Journal of Mobile Communications
Mobile marketing: the role of permission and acceptance
International Journal of Mobile Communications
Determining the mobile commerce user requirements using an analytic approach
Computer Standards & Interfaces
Towards an understanding of the behavioral intention to use 3G mobile value-added services
Computers in Human Behavior
An adoption model for mobile banking in Ghana
International Journal of Mobile Communications
Investigating mobile wireless technology adoption: An extension of the technology acceptance model
Information Systems Frontiers
An Extended TAM for Analyzing Adoption Behavior of Mobile Commerce
ICMB '09 Proceedings of the 2009 Eighth International Conference on Mobile Business
Diffusion and success factors of mobile marketing
Electronic Commerce Research and Applications
Information and Management
An empirical examination of application frameworks success based on technology acceptance model
Journal of Systems and Software
Does the technology acceptance model predict actual use? A systematic literature review
Information and Software Technology
Location-based services deployment and demand: a roadmap model
Electronic Commerce Research
Electronic Commerce Research
Threat modeling of a mobile device management system for secure smart work
Electronic Commerce Research
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The success of mobile services adoption hinges on their ability to cover user needs and attract consumer interest. The extant literature focuses on understanding the factors that might affect consumers' actual adoption of such services through their effect on behavioral intention; these studies are mostly based on behavioral intention theories, such as Technology Acceptance Model, Diffusion of Innovation and Unified Theory of Acceptance and Use of Technology. In this work, new theoretical constructs are combined with existing evidence in order to extend the Technology Acceptance Model (TAM) as it was initially established by Davis and later further enriched by other researchers. The proposed model includes behavioral intention, perceived usefulness, perceived ease of use, trust, innovativeness, relationship drivers, and functionality. Within this approach, relationship drivers introduce a marketing perspective to the original models of technology adoption by building emotional connections between the users and the mobile services. The hypothesized model is empirically tested using data collected from a survey on m-commerce consumers. Structural Equation Modelling (SEM) was used to evaluate the causal model and Confirmatory Factor Analysis (CFA) was performed to examine the reliability and validity of the measurement model. It is briefly concluded that behavioral intention is directly affected by perceived usefulness, innovativeness and relationship drivers; the findings provide interesting insights and useful hints to practitioners and researchers.