Structural equation modeling with LISREL: essentials and advances
Structural equation modeling with LISREL: essentials and advances
The role of ease of use, usefulness and attitude in the prediction of World Wide Web usage
SIGCPR '98 Proceedings of the 1998 ACM SIGCPR conference on Computer personnel research
Managing web usage in the workplace
An empirical investigation of student acceptance of course websites
Computers & Education
The role of moderating factors in user technology acceptance
International Journal of Human-Computer Studies
PDA usage in healthcare professionals: testing an extended technology acceptance model
International Journal of Mobile Communications
Does the technology acceptance model predict actual use? A systematic literature review
Information and Software Technology
Proceedings of the 4th International Conference on Theory and Practice of Electronic Governance
Are you ready for knowledge sharing? An empirical study of virtual communities
Computers & Education
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Factors contributing to information system (IS) usage are of interest to both academicians and practitioners alike. Previous research has shown that perceived usefulness and perceived ease of use are two dominant factors affecting an individual's intention to use a system. Different models of the causal relationships between perceived usefulness, perceived ease of use, and system usage have been investigated in the literature (Adams, Nelson, and Todd, 1992). Contributing to this body of knowledge, this paper reports on the analysis of three competing models of Davis's constructs: perceived ease of use, perceived usefulness, and intention to use. The results indicate Davis is correct in proposing that the indirect relationship between perceived ease of use and intention to use, mediated by perceived usefulness, is an important one. In addition, the direct relationship between perceived ease of use and intention to use, is also significant. The study's findings indicate the full Davis model with all causal paths is superior to alternative nested models tested.