Journal Screenshot

International Journal of Academic Research in Business and Social Sciences

Open Access Journal

ISSN: 2222-6990

Intention to Purchase Green Vehicle: Case Study in Malaysia Using Extended Theory Planned Behavior (TPB) Model

Sharulshahida Shakrein Safian, Salwaty Jamaludin, Adibah Alawiah Osman, Norhasimah Shaharuddin, Mohammad Zulfakhairi Mokhtar

http://dx.doi.org/10.6007/IJARBSS/v13-i2/16273

Open access

Across disciplines, it is common to understand habit as “learned sequences of acts that become automatic responses to specific situations, which may be functional in obtaining certain goals or end states” (Verplanken et al., 1997). They stand in for a person's conditioned reactions to a certain stimulus. It is critical to note that developing a habit requires at least weekly repetition. Once a behaviour is established, it is carried out automatically (Orbell et al. 2001; Triandis 1980), meaning that it requires little conscious thought and little mental effort (Wood et al. 2002). As a result, when a behaviour is habit-driven, a person simply does not think about it since it is non-reflective (Lindbladh and Lyttkens 2002), which reduces the conscious focus that is frequently required when we perform it. The objective of research which is about predicting the intention to purchase green vehicles by using an extended model of Theory Planned Behaviour (TPB) comprises attitude, perceived behaviour control, subjective norm and personal moral norm. This study intended to see whether “habit” will give significant effect or vice versa in the extended TPB model as well as whether or not habit correlates to the behaviour from the previous literature. We believe it should be expanded by including the habit construct and its main predecessors so that the limitation can be overcome and the model’s explanatory value improved. As a conclusion, the result of a survey among 427 respondents showed that most of the variables in the TPB extended model had a significant relationship towards intention to purchase green vehicles.