We discuss the application of the Theory of Planned Behaviour (TPB) to understand and predict human behaviour. One source investigates the use of GPS navigation systems while driving and finds that factors like attitude, subjective norms, perceived behavioural control, navigation involvement, and information quality significantly influence drivers' intentions to use navigation. Another source analyses the effectiveness of interventions based on the TPB in changing smoking behaviour, finding that interventions often lack methodological rigour and theoretical implementation. Another source studies the TPB's application to tourists, finding that the model can be extended to incorporate motivations, which influences their attitude and intention. A further source explores the application of the TPB to understanding digital music streaming behaviour, finding that the model can be successfully used to predict both intention and behaviour, with variables like attitudes and subjective norms playing a significant role. Another source examines how the TPB can be used to understand consumer food waste behaviour in restaurants, finding that the model can predict behaviour, and factors like price consciousness and food taste influence intention. Finally, a source looks at gender and age differences in employee decisions about new technology, finding that gender and age influence the impact of attitude and perceived behavioural control on intentions. In summary, these sources demonstrate the TPB's versatility and usefulness in predicting and understanding various human behaviours across diverse contexts.

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