[show abstract][hide abstract] ABSTRACT: This study based on the technology acceptance model(TAM) and theory of planned behaviour (TPB) presents an extended TAM that integrates trust related construct (‘perceived credibility’) and resource-related constructs (‘perceived cost’) into the TAM to analyzing adoption behavior of mobile service. The proposed model was empirically tested using data collected from a survey of mobile service consumers. The structural equation modeling technique was used to evaluate the causal model and confirmatory factor analysis was performed to examine the reliability and validity of the measurement model. Our findings indicated that all variables except perceived ease of use significantly affected users’ behavioral intention. The implication of this work to both researchers and practitioners is discussed.
[show abstract][hide abstract] ABSTRACT: An integrated technology acceptance model, which comes from the theory of planned behavior and the extended technology acceptance model with perceived credibility based on the mobile servicespsila characteristics, is used to identify the factors that affect consumer intention to use mobile services. The results indicate that the Integrated technology acceptance model has significant effect on explaining behavioral intention to use mobile services.
Information Engineering and Electronic Commerce, 2009. IEEC '09. International Symposium on; 06/2009
[show abstract][hide abstract] ABSTRACT: This research briefly introduces the Theory of Planned Behavior and the Technology Acceptance Model, extends the Technology Acceptance Model with Perceived Credibility based on the mobile services' characteristics. An Integrated Technology Acceptance Model, which comes from the Theory of Planned Behavior and the improved Technology Acceptance Model, is used to identify the factors that affect consumer intention to use mobile services. The results generated by Structural equation model indicate that the Integrated Technology Acceptance Model has significant effect on explaining behavioral intention to use mobile services.
Software Engineering, World Congress on. 01/2009; 3:501-505.