A framework for identifying software project risks
Communications of the ACM
Satisfiers and dissatisfiers: a two-factor model for website design and evaluation
Journal of the American Society for Information Science
Extending the technology acceptance model: the influence of perceived user resources
ACM SIGMIS Database - Special issue on adoption, diffusion, and infusion of IT
Understanding Post-Adoption Behavior in the Context of Online Services
Information Systems Research
Assessing a Firm's Web Presence: A Heuristic Evaluation Procedure for the Measurement of Usability
Information Systems Research
Developing and Validating Trust Measures for e-Commerce: An Integrative Typology
Information Systems Research
Just What Do the Youth of Today Want? Technology Appropriation by Young People
HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 5 - Volume 5
A Theoretical Integration of User Satisfaction and Technology Acceptance
Information Systems Research
Key dimensions of facilitators and inhibitors for the strategic use of information technology
Journal of Management Information Systems
Perceived Information Quality in Data Exchanges: Effects on Risk, Trust, and Intention to Use
Information Systems Research
Journal of Management Information Systems
International Journal of Electronic Commerce
The DeLone and McLean Model of Information Systems Success: A Ten-Year Update
Journal of Management Information Systems
The influence of checklists and roles on software practitioner risk perception and decision-making
Journal of Systems and Software
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Computers in Human Behavior
The Level Paradox of E-Collaboration: Dangers and Solutions
International Journal of e-Collaboration
Investigating the success of operational business process management systems
Information Technology and Management
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An important area of information systems (IS) research has been the identification of the individual-level beliefs that enable technology acceptance such as the usefulness, reliability, and flexibility of a system. This study posits the existence of additional beliefs that inhibit usage intentions and thus foster technology rejection rather than acceptance. We theorize that these inhibitors are more than just the antipoles of enablers (e.g., the opposite of usefulness or reliability) and so are distinct constructs worthy of their own investigation. Inhibitors are proposed to have effects on usage intentions beyond that of enablers as well as effects on enablers themselves. We report on a series of empirical studies designed to test the existence and effects of inhibitors. A candidate set of six inhibitors is shown to be distinct from enablers. These inhibitors are subsequently tested in a field study of 387 individuals nested within 32 different websites. Effects at both individual and website unit levels of analysis are tested using multilevel modeling. We find that inhibitors have negative effects on usage intentions, as well as on enablers, and these effects vary contingent upon individual or website unit levels of analysis. The overall results support the existence and importance of inhibitors in explaining individual intent to use---or not use---technology.