<p>This study delves into the dynamics of Smart Home Technology adoption in Malaysia, a country exhibiting relatively slow uptake compared to global trends. Despite high internet connectivity and mobile technology readiness among Malaysians, the penetration of smart home technology remains modest. This research explores factors influencing the use of IoT-based Smart Home Technology in Malaysia, applying the Fogg Behavior Model, which emphasizes motivation, simplicity, and prompts, offering a fresh perspective compared to the Technology Acceptance Model. The research encompasses an empirical study, employing a quantitative approach with a meticulously developed questionnaire informed by extensive literature review and preliminary interviews. Targeting actual users of smart home technology, the survey garnered 425 valid responses, analyzed using Partial Least Squares Structural Equation Modeling. Key findings reveal that factors like Relative Advantage, Threats, Enjoyment, Social Presence, Price, Usability, Facilitating Conditions, and Trust-In-Vendors significantly influence smart home technology usage. Surprisingly, the study also highlights the diminishing relevance of Trialability in the context of modern e-commerce and digital consumer behavior. The demographic analysis indicates a predominant use of IoT security products like smart cameras and smart door locks. This research advances the Information Systems field by improving understanding of smart home technology adoption in developing countries. It highlights user-centric variables, offering insights for vendors and policymakers to enhance penetration. Findings suggest strategies should focus on both easiness and cues, emphasizing the importance of simplicity and prompts in technology adoption.</p>