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Adoption of smart home automation system among Gen Y in Malaysia, a behavioral study

Lee, Yi Woon and Chai, Wei Jun (2025) Adoption of smart home automation system among Gen Y in Malaysia, a behavioral study. Final Year Project, UTAR.

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    Abstract

    In the current digital era, a smart home automation system (SHAS) is gaining popularity due to its diverse benefits for household use. However, the adoption of SHAS in Malaysia, especially among Generation Y (Gen-Y) citizens, remains low. This study examines the relationship between the theory of Diffusion of Innovation variables (relative advantage, compatibility, complexity, trialability, and observability), perceived usefulness (PU), technology awareness, and the intention to adopt SHAS among Malaysian Gen-Y. Using items adapted from selected sources, a closed-ended questionnaire was pre-tested and validated by pilot study participants. The final questionnaires were distributed online. Main survey data were collected through snowball sampling and analyzed both descriptively and inferentially to test the seven hypotheses. Trialability, PU, and technology awareness are significant variables. This suggests that real-world experiences, practical benefits in solving specific issues, and the level of awareness and familiarity with SHAS are important motivators for adoption among Gen-Y in Malaysia. Additionally, this study offers strategic insights for policymakers to improve current policies, develop new ones, and provides valuable knowledge for academics about the evolving digital environment and SHAS. Keywords: Smart Home Automation Systems (SHAS), Theory of Diffusion of Innovation (DOI), Perceived Usefulness, Technology Awareness, Malaysian Gen-. Subject area: T1-995 Technology (General)

    Item Type: Final Year Project / Dissertation / Thesis (Final Year Project)
    Subjects: H Social Sciences > H Social Sciences (General)
    T Technology > T Technology (General)
    Divisions: Teh Hong Piow Faculty of Business and Finance > Bachelor of Marketing (Honours)
    Depositing User: ML Main Library
    Date Deposited: 31 Dec 2025 18:47
    Last Modified: 31 Dec 2025 18:47
    URI: http://eprints.utar.edu.my/id/eprint/7116

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