Output details

Does the technology acceptance model predict actual use? A systematic literature review

<31>The Technology Acceptance Model (TAM) is widely used by industry to assess the extent to which an organisation will accept new technology. Many reviews have indicated strong empirical support for the model. However, there are reports that predictions using the TAM were incorrect. Our review is the first to concentrate on whether it is a good predictor of actual use rather than intention to use. In contrast to previous reviews we found that the TAM is not as good at predicting actual use as intention to use. This has significant consequences for predicting acceptance of new technologies.

This systematic review (SR) reports new insights relating to (1) the use of the SR methodology in the software engineering/information technology domain, and (2) the use of the technology acceptance model (TAM).

In relation to the SR methodology, new insights include:

• The recommendation that future researchers should consider the use of their results in secondary studies, such as SRs, when designing and reporting their primary studies.

• SR researchers need to check very carefully for multiple reports of a single study so that results are not counted more than once when aggregating evidence.

In relation to the TAM, new insights include:

• Actual usage of a technology should where possible be assessed objectively rather than subjectively (which is more usual),

• Behavioural intention to use a technology is a more reliable indicator of usage than are perceived usefulness and perceived ease of use.