The Theory of Planned Behaviour (TPB)

TPB extended TRA by adding the construct of perceived behavioural control. In TPB, perceived behavioural control is theorized to be an additional determinant of intention and behaviour. Venkatesh et al. (2003) provided a review of several studies that successfully used TPB to predict the intention and behaviour on consumers in a wide variety of settings. TPB has been successfully applied to the understanding of individual acceptance and usage of many different technologies ( Venkatesh et al., 2003 ). A related model is the Decomposed Theory of Planned Behaviour (DTPB). In terms of predicting intention, DTPB is identical to TPB. In contrast to TPB but similar to TAM, DTPB “Decomposes” attitude, subjective norm, and perceived behavioural control into its underlying belief structure within technology adoption contexts.

Attitude toward Behaviour

Adapted from TRA

Subjective Norm

Adapted from TRA

Perceived Behavioural Control

“The perceived ease of difficulty of performing the behaviour”. In the context of Information System (IS) research, “perceptions of internal and external constraints on behaviour” ( Venkatesh et al., 2003 ).

A Model combining The Technology Acceptance Model and Theory of Planned Behaviour (C-TAM-TPB)

This model combines the predictors of TPB with perceived usefulness from TAM to provide a hybrid model.

Attitude towards Behaviour

Adapted from TRA/TPB

Subjective Norm

Adapted from TRA/TPB

Perceived Behavioural Control

Adapted from TRA/TPB

Perceived Usefulness

Adapted from TAM

The Model of PC Utilisation (MPCU)

The Model of PC Utilisation (MPCU) derived largely from Venkatesh et al. (2003) theory of human behaviour, this model presents a competing perspective to that proposed by TRA and TPB. Refer Venkatesh et al. (2003) for adapted and refined Triandis’ model for IS contexts and used the model to predict PC utilization. However, the nature of the model makes it particularly suited to predict individual acceptance and use of a range of information technologies. Refer Venkatesh et al. (2003) for sought to predict usage behaviour rather than intention. Please refer Venkatesh et al. (2003) .

Job-Fit

“The extent to which an individual believes that using (a technology) can enhance the performance of his or her job”.

Complexity

Based on Rogers and Ajzen (1975) “the degree to which an innovation is perceived as relatively difficult to understand and use”.

Long-Term Consequences

“Outcomes that have a pay-off in the future”.

Affect Towards Use

Based on Triandis, affect toward use is “feelings of joy, elation, or pleasure, or depression, disgust, displeasure, or hate associated by an individual with a particular act”.

Social Factors

Derived from Triandis, social factors are “the individual’s internationalization of the reference group’s subjective culture, are specific interpersonal agreements that the individual has made with others, in specific social situations”.