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Factors Influencing Consumer Buying Behavior for Smart Home Technologies

Author

Listed:
  • Jung-Yi (Capacity) Lin

    (College of Management, National Taipei University of Technology, No. 1, Section 3, Zhongxiao E. Rd, Da’an District, Taipei City 10608, Taiwan)

  • Chien-Cheng Chen

    (College of Management, National Taipei University of Technology, No. 1, Section 3, Zhongxiao E. Rd, Da’an District, Taipei City 10608, Taiwan)

Abstract

Smart home technologies (SHT) offer numerous benefits to consumers. This study explored the relationship between the perceived benefits of and the likelihood of subsequently purchasing SHT among Taiwanese consumers. The study conducted a survey in May 2024 and collected data from 424 respondents of various ages, educational backgrounds, and income levels. Data on the perceived benefits of SHT, the perceived challenges of adopting these technologies, current methods for managing household tasks and energy consumption, and the likelihood of purchasing SHT were collected. The perceived benefits of SHT include enhanced comfort, security, and energy efficiency. Comfort and energy efficiency but not enhanced security were significant predictors of adoption. Proficiency in online research but not general technical proficiency also significantly predicted adoption. Consumers dissatisfied with current home energy management methods were more likely to adopt SHT. Positive perceptions of benefits and dissatisfaction with current methods drive the adoption of SHT. As there is increasing environmental awareness in Taiwan, this study verifies that environmentally conscious consumers affect their buying decisions positively. This study highlights how SHT can improve quality of life while promoting sustainable development. The study offers valuable insights into consumer buying behaviors and contributes to the SHT industry with actionable suggestions for improving product design, incorporating more green technology into their products, enhancing user interfaces, strengthening security protocols, and upgrading interoperability between different smart home devices that may facilitate users to embrace SHT.

Suggested Citation

  • Jung-Yi (Capacity) Lin & Chien-Cheng Chen, 2025. "Factors Influencing Consumer Buying Behavior for Smart Home Technologies," Sustainability, MDPI, vol. 17(7), pages 1-30, March.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:7:p:2992-:d:1622208
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    References listed on IDEAS

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    1. Vasilii Erokhin & Kamel Mouloudj & Ahmed Chemseddine Bouarar & Smail Mouloudj & Tianming Gao, 2024. "Investigating Farmers’ Intentions to Reduce Water Waste through Water-Smart Farming Technologies," Sustainability, MDPI, vol. 16(11), pages 1-19, May.
    2. Khin Shoon Lei Thant Zin & Seieun Kim & Hak-Seon Kim & Israel Fisseha Feyissa, 2023. "A Study on Technology Acceptance of Digital Healthcare among Older Korean Adults Using Extended Tam (Extended Technology Acceptance Model)," Administrative Sciences, MDPI, vol. 13(2), pages 1-18, February.
    3. Jiaxin Zhang & Yan Luximon & Yao Song, 2019. "The Role of Consumers’ Perceived Security, Perceived Control, Interface Design Features, and Conscientiousness in Continuous Use of Mobile Payment Services," Sustainability, MDPI, vol. 11(23), pages 1-16, December.
    4. Davit Marikyan & Savvas Papagiannidis & Eleftherios Alamanos, 2021. "“Smart Home Sweet Smart Home”: An Examination of Smart Home Acceptance," International Journal of E-Business Research (IJEBR), IGI Global, vol. 17(2), pages 1-24, April.
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