Smart Homes Adoption among Malaysian Households

Ong, Bei Yi (2023) Smart Homes Adoption among Malaysian Households. Final Year Project (Bachelor), Tunku Abdul Rahman University College.

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Abstract

Nowadays, smart home becomes more popular and well-known by publics especially in the developed countries. However, there are still many people refuse to adopt smart home technologies especially in Malaysia, even though they are already notice and acknowledge with the benefits of the smart home adoption. This is because of turning a normal house into a smart home is very expensive. It needs a high initial finance to invest in a smart home. Most of the Malaysian family could not afford high cost. Some Malaysian are also lack of knowledge in handling the smart home due to its complexity and the chances for them to attend smart home courses or tutorials are very limited. Thus, they decide to live in a traditional house. Due to that, Malaysian’s quality of life is still back behind. Therefore, it is the time to let the public to get more attention on smart home adoption. This research aims to identify Malaysian households’ acceptance in adopting smart homes. Moreover, the objective of this research is to determine the benefits which encourage smart homes adoption among Malaysian households. Lastly, it also aims to determine the barriers which discourage smart homes adoption among Malaysian households. In order to achieve these objectives, literature review and questionnaire survey are conducted, whereby 70 responses had been obtained through online questionnaire survey. With the aid of Statistical Package for Social Science (SPSS), descriptive analysis and inferential analysis such as one-way ANOVA, independent samples t-test and multiple regression were conducted to answer the research objectives. In brief, this research concluded that the acceptance level of Level 4 smart home is higher than average to some extent; and the overall benefit and barrier of smart home adoption among Malaysian households are statistically significant. Ultimately, these findings could serve as references for the future smart home adoption in Malaysia