TY - JOUR
T1 - Study of intention to use renewable energy technology in Malaysia using TAM and TPB
AU - Wong, Gai Zhe
AU - Wong, Kok Hoe
AU - Lau, Teck Chai
AU - Lee, Jun Han
AU - Kok, Yin Hui
N1 - Publisher Copyright:
© 2023 Elsevier Ltd
PY - 2024/2
Y1 - 2024/2
N2 - Despite the increase in the usage of renewable energy in Malaysia, the proportion of renewable energy (RE) within the energy mix lags far behind satisfactory levels, at a mere 23% in 2020 compared to the 31% target by 2025 as per Malaysia's Energy Transition Roadmap. The public acceptance towards RE is one of the many obstacles that hinders the proliferation of RE in Malaysia. It is therefore imperative to determine the key factors which shape an individual's intention to utilize RE. In this study, three models are compared and assessed in terms of their efficacy in predicting such behavioural intention, namely the Technology Acceptance Model (TAM), Theory of Planned Behaviour (TPB) and an extended model that combines the characteristics of the two prior theories. Partial-least-squares structural equation modelling, finite mixture partial least squares (FIMIX-PLS), and important-performance map analysis (IPMA) were performed on the collected survey dataset with 524 responses. Analyses revealed that attitude and perceived behavioural control are important factors of intention to adopt renewable energy technology, with perceived ease of use and perceived usefulness in turn being significant antecedents of attitude, whereas subjective norm did not influence intention. Among the three models, the extended model triumphs in terms of path significance and explanatory power, followed by TPB and then TAM. Results show that costs, ease of use and accessibility of RE remain limiting factors towards RE adoption in Malaysia, hence the need of appropriate policies/programmes, such as targeted incentive campaigns, to alleviate this issue.
AB - Despite the increase in the usage of renewable energy in Malaysia, the proportion of renewable energy (RE) within the energy mix lags far behind satisfactory levels, at a mere 23% in 2020 compared to the 31% target by 2025 as per Malaysia's Energy Transition Roadmap. The public acceptance towards RE is one of the many obstacles that hinders the proliferation of RE in Malaysia. It is therefore imperative to determine the key factors which shape an individual's intention to utilize RE. In this study, three models are compared and assessed in terms of their efficacy in predicting such behavioural intention, namely the Technology Acceptance Model (TAM), Theory of Planned Behaviour (TPB) and an extended model that combines the characteristics of the two prior theories. Partial-least-squares structural equation modelling, finite mixture partial least squares (FIMIX-PLS), and important-performance map analysis (IPMA) were performed on the collected survey dataset with 524 responses. Analyses revealed that attitude and perceived behavioural control are important factors of intention to adopt renewable energy technology, with perceived ease of use and perceived usefulness in turn being significant antecedents of attitude, whereas subjective norm did not influence intention. Among the three models, the extended model triumphs in terms of path significance and explanatory power, followed by TPB and then TAM. Results show that costs, ease of use and accessibility of RE remain limiting factors towards RE adoption in Malaysia, hence the need of appropriate policies/programmes, such as targeted incentive campaigns, to alleviate this issue.
KW - Finite mixture partial least square (FIMIX-PLS)
KW - Important-performance map analysis (IPMA)
KW - Renewable energy technology
KW - Structural equation modelling
KW - Technology acceptance model (TAM)
KW - Theory of planned behaviour (TPB)
UR - http://www.scopus.com/inward/record.url?scp=85180408394&partnerID=8YFLogxK
U2 - 10.1016/j.renene.2023.119787
DO - 10.1016/j.renene.2023.119787
M3 - Article
AN - SCOPUS:85180408394
SN - 0960-1481
VL - 221
JO - Renewable Energy
JF - Renewable Energy
M1 - 119787
ER -