Testing the technology acceptance model across cultures: a three country study
Information and Management
The Mythical Man-Month: After 20 Years
IEEE Software
Why do people use information technology?: a critical review of the technology acceptance model
Information and Management
Assessing the introduction of electronic banking in Egypt using the technology acceptance model
Annals of cases on information technology
An empirical study on predicting user acceptance of e-shopping on the Web
Information and Management
Success and failure in Web-based financial services
Communications of the ACM - New architectures for financial services
A technology transition model derived from field investigation of GSS use aboard the U.S.S. CORONADO
Journal of Management Information Systems - Special issue: GSS insights: a look back at the lab, a look forward from the field
Exploring the application and acceptance of group support systems in Africa
Journal of Management Information Systems - Special issue: GSS insights: a look back at the lab, a look forward from the field
The DeLone and McLean Model of Information Systems Success: A Ten-Year Update
Journal of Management Information Systems
Questionnaire mode effects in interactive information retrieval experiments
Information Processing and Management: an International Journal
Case study: Information systems project abandonment: a stakeholder analysis
International Journal of Information Management: The Journal for Information Professionals
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Technology Acceptance Model TAM is an important tool to understand the dynamics of acceptance of Information Systems in an organization. The model posits that perceived ease of use and perceived usefulness are key factors in the adoption. This study extends TAM for investigating the user rejection of technology by reversing the two key factors into perceived difficulty of use and perceived uselessness. The study was conducted by surveying the customers of an e-banking application in Turkey who disuse the system. The results reveal important hints for the organization that wants to get an insight into the causes of the system disuse.