Technology acceptance model

[4] A TAM 3 has also been proposed in the context of e-commerce with an inclusion of the effects of trust and perceived risk on system use.

[6] Bagozzi, Davis and Warshaw say: Because new technologies such as personal computers are complex and an element of uncertainty exists in the minds of decision makers with respect to the successful adoption of them, people form attitudes and intentions toward trying to learn to use the new technology prior to initiating efforts directed at using.

Adams et al.[12] replicated the work of Davis[1] to demonstrate the validity and reliability of his instrument and his measurement scales.

[14] The sum of this research has confirmed the validity of the Davis instrument, and to support its use with different populations of users and different software choices.

One of these contexts is health care, which is growing rapidly[18] Saravanos et al. [19] extended the TAM model to incorporate emotion and the effect that may play on the behavioral intention to accept a technology.

Venkatesh and Davis extended the original TAM model to explain perceived usefulness and usage intentions in terms of social influence (subjective norms, voluntariness, image) and cognitive instrumental processes (job relevance, output quality, result demonstrability, perceived ease of use).

[22] In addition, authors Jun et al. also think that the technology acceptance model is essential to analyze the factors affecting customers’ behavior towards online food delivery services.

[23] TAM has been widely criticised, despite its frequent use, leading the original proposers to attempt to redefine it several times.

Criticisms of TAM as a "theory" include its questionable heuristic value, limited explanatory and predictive power, triviality, and lack of any practical value.

Furthermore, the independent attempts by several researchers to expand TAM in order to adapt it to the constantly changing IT environments has lead [sic] to a state of theoretical chaos and confusion".

Perceived ease of use is less likely to be a determinant of attitude and usage intention according to studies of telemedicine,[33] mobile commerce,[34]) and online banking.