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A Study of Factors Influencing on Passive and Active Acceptance of Home Energy Management Services with Internet of Things

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  • Chankook Park

    (Energy Industry Research Group, Korea Energy Economics Institute (KEEI), Ulsan 405-11, Korea)

  • Min Jeong

    (Energy Industry Research Group, Korea Energy Economics Institute (KEEI), Ulsan 405-11, Korea)

Abstract

Since awareness of the influence of home energy management services (HEMS) with Internet of things (IoT) has grown, the study on the acceptance of IoT services has been expanded. Previous studies, however, have not paid attention to the acceptance itself, focusing only on factors affecting the acceptance. This study attempts to draw meaningful implications by exploring the relationships between the acceptance and the factors affecting it with distinctions between passive acceptance and active acceptance. This study analyzed the ordinal logistic regression models based on a survey of 909 adults 19 years of age and older in Korea on HEMS with IoT. In addition, we attempt the ordinal forest to increase the reliability of the research results. As a result, this study showed that consumers’ perception of usefulness was noticeably important to enhance active acceptance and that those who had high sensitivity to new technology acceptance showed high active acceptance, and older women had higher active acceptance. This study might contribute to the research on IoT acceptance in the energy management sector by classifying the acceptance into active acceptance and passive acceptance beyond the framework of setting the acceptance as a single variable.

Suggested Citation

  • Chankook Park & Min Jeong, 2021. "A Study of Factors Influencing on Passive and Active Acceptance of Home Energy Management Services with Internet of Things," Energies, MDPI, vol. 14(12), pages 1-17, June.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:12:p:3631-:d:577478
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    Cited by:

    1. Imre Kovách & Boldizsár Gergely Megyesi, 2023. "Energy Use Research in the Social Sciences–Introduction to a Research Topic," Energies, MDPI, vol. 16(8), pages 1-8, April.
    2. Thipnapa Huansuriya & Kris Ariyabuddhiphongs, 2023. "Predicting Residential Photovoltaic Adoption Intention of Potential Prosumers in Thailand: A Theory of Planned Behavior Model," Energies, MDPI, vol. 16(17), pages 1-20, August.
    3. Wioletta Knapik & Magdalena Katarzyna Kowalska & Monika Odlanicka-Poczobutt & Marek Kasperek, 2022. "The Internet of Things through Internet Access Using an Electrical Power Transmission System (Power Line Communication) to Improve Digital Competencies and Quality of Life of Selected Social Groups in," Energies, MDPI, vol. 15(14), pages 1-27, July.

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