Exploring the Adoption of IoT-Based Smart Home Technology in Malaysia: An Empirical Study Using the Fogg Behavior Model

Leong, Yee Rock; Tajudeen, Farzana Parveen

doi:10.1007/s12144-025-08840-6

Summary

Why do some households start using smart home technology while others do not? This study answers the question for Malaysia using the Fogg Behavior Model, which says a behaviour happens when motivation, ability and a prompt come together at the same moment. The model gives a psychology-first view of adoption, beyond the Technology Acceptance Model that dominates the field.

Keywords: smart home, Internet of Things, technology adoption, Fogg Behavior Model, Malaysia

1. Key Findings

The study finds that a set of factors significantly influence smart home technology usage:

MotivationBenefits and FeelingsRelative advantage, perceived threats, enjoyment and social presence.

AbilityCost and EasePrice, usability and facilitating conditions.

TrustConfidence in VendorsTrust in the companies that sell and support the technology.

2. Why It Matters

The paper answers the call made in the authors' 2021 review for new theories beyond the Technology Acceptance Model. For vendors and developers, it shows that adoption depends on more than features: price, ease of use, support and trust all shape whether people actually use the technology.

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Cite This Paper

Leong, Y. R., & Tajudeen, F. P. (2026). Exploring the adoption of IoT-based smart home technology in Malaysia: An empirical study using the Fogg Behavior Model. Current Psychology, 45(2), 166. https://doi.org/10.1007/s12144-025-08840-6

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