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Management Science
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Management Science
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A Test of the Technology Acceptance Model: The Case of Cellular Telephone AdoptionLaku Chidambaram
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 1 - Volume 1
What drives mobile commerce? An empirical evaluation of the revised technology acceptance model
Information and Management
Information and Management
An empirical assessment of a modified technology acceptance model
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PDA usage in healthcare professionals: testing an extended technology acceptance model
International Journal of Mobile Communications
Adoption of IPTV under the convergence of broadcasting and telecommunications
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International Journal of Business Information Systems
International Journal of Mobile Communications
Do games motivate mobile content sharing?
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Smartphones as smart pedagogical tools: Implications for smartphones as u-learning devices
Computers in Human Behavior
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Do customization programs of e-commerce companies lead to better relationship with consumers?
Electronic Commerce Research and Applications
Forecasting the evolution of wireless technologies: the Loglet analysis approach
International Journal of Business Information Systems
A meta-analysis of mobile commerce adoption and the moderating effect of culture
Computers in Human Behavior
Factors affecting the adoption of online library resources by business students
Journal of the American Society for Information Science and Technology
A Preliminary Classification of Usage Measures in Information System Acceptance: A Q-Sort Approach
International Journal of Technology Diffusion
A New Open Door: The Smartphone's Impact on Work-to-Life Conflict, Stress, and Resistance
International Journal of Electronic Commerce
Examining success factors of open source software repositories: the case of OSOR.eu portal
International Journal of Business Information Systems
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My study extended TAM to include individuals' intention to use mobile wireless technology (MWT). It added two new constructs, Perceived Cost Savings and Company's Willingness to Fund, and two causal relationships, Job Relevance and Experience, as moderating effects. The 286 sets of data collected in an online survey were tested against the model using SEM. Results supported my new model: the new constructs and variables accounted for 62.7% of the variance found in an individual's behavioral intention to use MWT. The path coefficients between the constructs ranged from 0.26 to 0.85 also supporting the model.