Faculty's Acceptance of Computer-Based Technology: Causal Structure Cross-Validation of an Extended Model
The technology acceptance model (TAM) has been one of the most widely used frameworks to explain and predict the use of technology. However, recent meta-analyses suggest that research in this area could further enhance our understanding by taking into account: (1) criterion measures that represent the complexity of technology-based teaching and research environment, rather than mainly focusing on specific ICT applications for students; (2) potential moderators that could have affected technology acceptance inconsistently across levels of the predictors. The literature also suggests that the TAM could be extended to include motivational construct, in particular the computer self-efficacy, which seems to make a difference in individuals’ intention and use of technology.
Framed within the theory of reasoned action and social cognitive theory, the study first examined the likelihood of an extended technology acceptance model (TAME), which tested the interrelationships among computer self-efficacy, perceived usefulness, intention to use, and reported use of ICT. Second, the study evaluated gender- and age-invariant of the causal structure. The participants were 731 faculty members of a public university in Malaysia, and the construct-related validity and the reliability of the data were supported by exploratory factor analysis and item analysis. The results of structural equation modeling (AMOS 16) indicated: (1) perceived usefulness influenced intention to use, which in turn affected participants’ reported ICT-use, (2) computer self-efficacy influenced reported use of ICT directly, and indirectly via perceived usefulness and intention to use; (3) the reported ICT-use causal structure is applicable to both male and female lecturers; and (4) age moderated the structural relationships among the constructs of interest, adding new understanding about the efficacy of the technology acceptance model.
Keywords: TAME, Technology Acceptance Model, Technology Use, Causal Structure Invariance, Structural Equation Modeling
Prof. Sahari Nordin
Dean, Research Management Centre, International Islamic University Malaysia