The technology acceptance model (TAM) measures the adoption based on users’ mindsets. TAM will posit whether the potential customer will accept the model or not.

Technology Acceptance Model

Fred Devis was credited for TAM in 1986, as he was part of the information system. When the computer system was introduced, Devis was tried to test the system for both IT managers and Vendors.

Also, TAM states that the success of technology adaptation depends on a positive attitude towards measuring Ease of Use and Usefulness.

The TAM model is used to explain user behavior, many researchers have extended versions of this model, but the original model is still beneficial. This model was mainly for measuring customer behavior, and the question applied in the study is still valid today.

Davis and Venkatesh extended the original TAM model to explain usage intention and usefulness in the use social influence process.


Perceived Usefulness (PU)

The point at which a person believes that using a model will enhance their job performance means one can use technology what they want.

Perceived Use Of Ease (PUOE)

Davis defines PUOE as the degree to which the use of the technology system is free of effort if the technology is used to ease it’s conquers.

Alternative Of Technology Acceptance Model

MTP MODEL: Schere in 1986 developed an alternative model of TAM known as the Matching person and Technology model. The MTP model is an assessment measure in decision making and technology.

HMSAM: The technology acceptance model is adequate for using many systems. TAM is not ideally suited for the hedonic system. Lowery proposed the hedonic motivation system, adoption model.

HMSAM is designed to improve the hedonic motivation system primarily designed for online gamification. HMSAM is a specified acceptance system fully grounded in flow-based absorption.


They are adding extra features to measure the user attitude. Many factors have been examined, such as facilitating conditions, perceived self-efficiency, and system efficiency. Model is also applied in healthcare technologies.

Potential customers trust safety, security, deployment of AVs, and security in the international market. According to the survey, 44% of users feel safe using AVs. After this automation, most of the users are concerned about cyber security and data privacy.


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