International Journal of Man-Machine Studies
Explaining the role of user participation in information system use
Management Science
Usefulness and ease of use: field study evidence regarding task considerations
Decision Support Systems - Special issue on user interfaces
International Journal of Human-Computer Studies
A feedback model to understand information system usage
Information and Management
Why do people use information technology?: a critical review of the technology acceptance model
Information and Management
Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior
Information Systems Research
Understanding it adoption decisions in small business: integrating current theories
Information and Management
Defuzzification within a multicriteria decision model
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
A motivational model of microcomputer usage
Journal of Management Information Systems
Expert Systems with Applications: An International Journal
Information and Management
A causal analytical method for group decision-making under fuzzy environment
Expert Systems with Applications: An International Journal
A structural equation modeling of the Internet acceptance in Korea
Electronic Commerce Research and Applications
The acceptance and use of a virtual learning environment in China
Computers & Education
User acceptance model of open source software
Computers in Human Behavior
The role of readiness for change in ERP implementation: Theoretical bases and empirical validation
Information and Management
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
Traditional technology acceptance model (TAM) studies establish and verify the model of causal relationship between variables by factor analysis or structural equation modeling. However, some technology is highly complicated, not all respondents have thorough comprehension. Certain variables are not compatible with assumption of independence, and causal relationship cannot be analyzed accurately if mass samplings are difficult to obtain, resulting in mistaken conclusions. The study establishes TAM through the Decision Making Trial and Evaluation Laboratory (DEMATEL) method, which considers the influences of inconformity between variables. Respondents may completely understand the technology, but may not adequately express it through limitations of mass sampling. Score quantification through traditional investigation asks respondents to make a choice from limited wordings in order to stress maximum attribution without considering the fuzzy thinking of humans, resulting in an imprecise summary. This study adopts the fuzzy DEMATEL method to calculate the causal relationship and level of mutual effect, building on the technology acceptance model by applying the Product Life Cycle Management (PLM) system, providing administrator references to improve promotion of new technology to solve complicated and difficult problems in practice. The example of Product Life Cycle Management adopted by the Taiwan optronics manufacturing industry is used to explain the application and effect of this theory. The research found that the influence is similar to the TAM2 model based on the fuzzy DEMATEL method. The major difference is the subjective standard (X"5) did not affect the impression (X"8), while the experience (X"6) directly affects the purpose of use (X"1) and the purpose of use (X"3) which also affects useful knowledge (X"2).