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Smart Homes as Catalysts for Sustainable Consumption: A Digital Economy Perspective

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  • Artur Strzelecki

    (Department of Informatics, University of Economics in Katowice, 1 Maja 50, 40-287 Katowice, Poland)

  • Beata Kolny

    (Department of Market and Marketing Research, University of Economics in Katowice, 1 Maja 50, 40-287 Katowice, Poland)

  • Michał Kucia

    (Department of International Management, University of Economics in Katowice, 1 Maja 50, 40-287 Katowice, Poland)

Abstract

The green living issues that arise as a result of smart home use in the context of sustainability consumption, at a time when smart homes are being built that can improve the management of electricity, water, gas consumption, and when their use offers the opportunity to raise awareness of caring for health and achieving wellbeing, became the basis for writing this article. This paper explores the intersection of smart home technologies, sustainable consumption, and the digital economy, offering insights into how digital advancements can foster environmentally responsible consumer behaviors. The motivation behind this study is the growing environmental concerns and the need for sustainable solutions in consumer behavior. Despite the advancements in smart home technologies, there is a significant gap in the literature regarding their role in promoting sustainable consumption. The research employs an extended unified theory of acceptance and use of technology (UTAUT2) model, integrating factors such as convenience, health and wellbeing, and environmental impact to assess the determinants influencing the adoption of smart home technologies. This study follows a comprehensive research process involving a survey of 795 individuals and the use of structural equation modeling (SmartPLS 4). The empirical findings reveal that factors such as performance expectancy and personal innovativeness are critical in shaping the adoption of smart home technologies. Additionally, this study highlights the significant positive influence of smart homes on sustainable consumption behaviors, underscoring their potential in driving the digital economy towards sustainability goals. The significance of these findings lies in their contribution to the understanding of how digital technologies, particularly smart homes, can enhance sustainable consumption, offering implications for policymakers, developers, and stakeholders in the digital economy seeking to promote sustainability through technological innovations.

Suggested Citation

  • Artur Strzelecki & Beata Kolny & Michał Kucia, 2024. "Smart Homes as Catalysts for Sustainable Consumption: A Digital Economy Perspective," Sustainability, MDPI, vol. 16(11), pages 1-26, May.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:11:p:4676-:d:1405836
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    References listed on IDEAS

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    1. Ritu Agarwal & Jayesh Prasad, 1998. "A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology," Information Systems Research, INFORMS, vol. 9(2), pages 204-215, June.
    2. Lee Cronbach, 1951. "Coefficient alpha and the internal structure of tests," Psychometrika, Springer;The Psychometric Society, vol. 16(3), pages 297-334, September.
    3. Gansser, Oliver Alexander & Reich, Christina Stefanie, 2021. "A new acceptance model for artificial intelligence with extensions to UTAUT2: An empirical study in three segments of application," Technology in Society, Elsevier, vol. 65(C).
    4. Alexandra-Gwyn Paetz & Elisabeth Dütschke & Wolf Fichtner, 2012. "Smart Homes as a Means to Sustainable Energy Consumption: A Study of Consumer Perceptions," Journal of Consumer Policy, Springer, vol. 35(1), pages 23-41, March.
    5. Helder Sequeiros & Tiago Oliveira & Manoj A. Thomas, 2022. "The Impact of IoT Smart Home Services on Psychological Well-Being," Information Systems Frontiers, Springer, vol. 24(3), pages 1009-1026, June.
    6. Michał Kucia & Grzegorz Hajduk & Grzegorz Mazurek & Nina Kotula, 2021. "The Implementation of New Technologies in Customer Value Management—A Sustainable Development Perspective," Sustainability, MDPI, vol. 13(2), pages 1-16, January.
    7. Farrell, Andrew M., 2010. "Insufficient discriminant validity: A comment on Bove, Pervan, Beatty, and Shiu (2009)," Journal of Business Research, Elsevier, vol. 63(3), pages 324-327, March.
    8. Baudier, Patricia & Ammi, Chantal & Deboeuf-Rouchon, Matthieu, 2020. "Smart home: Highly-educated students' acceptance," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    9. Pang, Zhihong & Chen, Yan & Zhang, Jian & O'Neill, Zheng & Cheng, Hwakong & Dong, Bing, 2021. "How much HVAC energy could be saved from the occupant-centric smart home thermostat: A nationwide simulation study," Applied Energy, Elsevier, vol. 283(C).
    10. Patricia Baudier & Chantal Ammi & Matthieu Deboeuf-Rouchon, 2020. "Smart home : highly-educated students' acceptance," Post-Print hal-02292941, HAL.
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