IDEAS home Printed from https://ideas.repec.org/a/spr/anresc/v68y2022i2d10.1007_s00168-021-01082-x.html
   My bibliography  Save this article

How consumers’ adopting intentions towards eco-friendly smart home services are shaped? An extended technology acceptance model

Author

Listed:
  • Wenqing Zhang

    (University of Science and Technology of China)

  • Liangliang Liu

    (Nanjing University of Finance and Economics)

Abstract

Eco-friendly smart home services (ESHS) play a significant role in environmental protection. The study aims to investigate consumers’ intention to adopt ESHS and employs the theory of technology acceptance model as the theoretical research framework. The model was further extended by incorporating the constructs of knowledge, perceived risk, and environmental consciousness. Data were collected from 643 respondents through a self-administered questionnaire survey and analyzed by structural equation modeling. Results confirmed that perceived ease of use, perceived usefulness, knowledge, and environmental consciousness significantly and positively influence consumers’ intention to adopt ESHS. Consumers’ perceived risk negatively influences perceived usefulness, and consumers’ perceived risk also reduces their intention to adopt ESHS. Moreover, consumers’ knowledge has a positive effect on perceived ease of use and perceived usefulness but has a negative effect on perceived risk. Based on these results, implications from the perspectives of policy makers, ESHS companies, marketing professionals, and practitioners are provided for motivating other consumers to adopt such eco-friendly services.

Suggested Citation

  • Wenqing Zhang & Liangliang Liu, 2022. "How consumers’ adopting intentions towards eco-friendly smart home services are shaped? An extended technology acceptance model," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 68(2), pages 307-330, April.
    • Handle: RePEc:spr:anresc:v:68:y:2022:i:2:d:10.1007_s00168-021-01082-x
    DOI: 10.1007/s00168-021-01082-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00168-021-01082-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s00168-021-01082-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. Marikyan, Davit & Papagiannidis, Savvas & Alamanos, Eleftherios, 2019. "A systematic review of the smart home literature: A user perspective," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 139-154.
    4. Park, Eunil & Ohm, Jay Y., 2014. "Factors influencing the public intention to use renewable energy technologies in South Korea: Effects of the Fukushima nuclear accident," Energy Policy, Elsevier, vol. 65(C), pages 198-211.
    5. Musrat Siyal & Saeed Siyal & Jun Wu & Debajyoti Pal & Muhammad Mujahid Memon, 2021. "Consumer Perceptions of Factors Affecting Online Shopping Behavior: An Empirical Evidence From Foreign Students in China," Journal of Electronic Commerce in Organizations (JECO), IGI Global, vol. 19(2), pages 1-16, April.
    6. Natarajan, Thamaraiselvan & Balasubramanian, Senthil Arasu & Kasilingam, Dharun Lingam, 2017. "Understanding the intention to use mobile shopping applications and its influence on price sensitivity," Journal of Retailing and Consumer Services, Elsevier, vol. 37(C), pages 8-22.
    7. Schill, Marie & Godefroit-Winkel, Delphine & Diallo, Mbaye Fall & Barbarossa, Camilla, 2019. "Consumers’ intentions to purchase smart home objects: Do environmental issues matter?," Ecological Economics, Elsevier, vol. 161(C), pages 176-185.
    8. Wang, Yacan & Hazen, Benjamin T., 2016. "Consumer product knowledge and intention to purchase remanufactured products," International Journal of Production Economics, Elsevier, vol. 181(PB), pages 460-469.
    9. Jiuchang Wei & Ming Zhao & Fei Wang & Peng Cheng & Dingtao Zhao, 2016. "An Empirical Study of the Volkswagen Crisis in China: Customers’ Information Processing and Behavioral Intentions," Risk Analysis, John Wiley & Sons, vol. 36(1), pages 114-129, January.
    10. Jiuchang Wei & Weiwei Zhu & Dora Marinova & Fei Wang, 2017. "Household adoption of smog protective behavior: a comparison between two Chinese cities," Journal of Risk Research, Taylor & Francis Journals, vol. 20(7), pages 846-867, July.
    11. Park, Chan-Kook & Kim, Hyun-Jae & Kim, Yang-Soo, 2014. "A study of factors enhancing smart grid consumer engagement," Energy Policy, Elsevier, vol. 72(C), pages 211-218.
    12. 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.
    13. Chen, Shih-Chih & Hung, Chung-Wen, 2016. "Elucidating the factors influencing the acceptance of green products: An extension of theory of planned behavior," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 155-163.
    14. repec:ucp:bkecon:9780226316529 is not listed on IDEAS
    15. Marie Schill & Delphine Godefroit-Winkel & Mbaye Fall Diallo & Camilla Barbarossa, 2019. "Consumers’ intentions to purchase smart home objects: Do environmental issues matter?," Post-Print hal-02091348, HAL.
    16. Loureiro, Maria L. & McCluskey, Jill J. & Mittelhammer, Ronald C., 2001. "Assessing Consumer Preferences For Organic, Eco-Labeled, And Regular Apples," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 26(2), pages 1-13, December.
    17. Shin, Jungwoo & Park, Yuri & Lee, Daeho, 2018. "Who will be smart home users? An analysis of adoption and diffusion of smart homes," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 246-253.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Josep-Maria Arauzo-Carod & Ioannis Kostakis & Konstantinos P. Tsagarakis, 2022. "Policies for supporting the regional circular economy and sustainability," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 68(2), pages 255-262, April.
    2. Ariza-Montes, Antonio & Quan, Wei & Radic, Aleksandar & Koo, Bonhak & Kim, Jinkyung Jenny & Chua, Bee-Lia & Han, Heesup, 2023. "Understanding the behavioral intention to use urban air autonomous vehicles," Technological Forecasting and Social Change, Elsevier, vol. 191(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yu Wang & Shanyong Wang & Jing Wang & Jiuchang Wei & Chenglin Wang, 2020. "An empirical study of consumers’ intention to use ride-sharing services: using an extended technology acceptance model," Transportation, Springer, vol. 47(1), pages 397-415, February.
    2. Wei Gu & Peng Bao & Wenyuan Hao & Jaewoong Kim, 2019. "Empirical Examination of Intention to Continue to Use Smart Home Services," Sustainability, MDPI, vol. 11(19), pages 1-12, September.
    3. Sovacool, Benjamin K. & Furszyfer Del Rio, Dylan D., 2020. "Smart home technologies in Europe: A critical review of concepts, benefits, risks and policies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 120(C).
    4. Ferreira, Laura & Oliveira, Tiago & Neves, Catarina, 2023. "Consumer's intention to use and recommend smart home technologies: The role of environmental awareness," Energy, Elsevier, vol. 263(PC).
    5. Zhang, Wenqing & Liu, Liangliang, 2022. "Exploring non-users' intention to adopt ride-sharing services: Taking into account increased risks due to the COVID-19 pandemic among other factors," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 180-195.
    6. Victor Fernández-Guzmán & Edgardo R. Bravo, 2018. "Understanding Continuance Usage of Natural Gas: A Theoretical Model and Empirical Evaluation," Energies, MDPI, vol. 11(8), pages 1-17, August.
    7. Attour, Amel & Baudino, Marco & Krafft, Jackie & Lazaric, Nathalie, 2020. "Determinants of energy tracking application use at the city level: Evidence from France," Energy Policy, Elsevier, vol. 147(C).
    8. Dangelico, Rosa Maria & Alvino, Letizia & Fraccascia, Luca, 2022. "Investigating the antecedents of consumer behavioral intention for sustainable fashion products: Evidence from a large survey of Italian consumers," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    9. Birgul Basarir-Ozel & Hande Bahar Turker & Vesile Aslihan Nasir, 2022. "Identifying the Key Drivers and Barriers of Smart Home Adoption: A Thematic Analysis from the Business Perspective," Sustainability, MDPI, vol. 14(15), pages 1-19, July.
    10. Attié, Elodie & Meyer-Waarden, Lars, 2022. "The acceptance and usage of smart connected objects according to adoption stages: an enhanced technology acceptance model integrating the diffusion of innovation, uses and gratification and privacy ca," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    11. Odou, Philippe & Schill, Marie, 2020. "How anticipated emotions shape behavioral intentions to fight climate change," Journal of Business Research, Elsevier, vol. 121(C), pages 243-253.
    12. Große-Kreul, Felix, 2022. "What will drive household adoption of smart energy? Insights from a consumer acceptance study in Germany," Utilities Policy, Elsevier, vol. 75(C).
    13. Wan Nie & Antonieta Medina-Lara & Hywel Williams & Richard Smith, 2021. "Do Health, Environmental and Ethical Concerns Affect Purchasing Behavior? A Meta-Analysis and Narrative Review," Social Sciences, MDPI, vol. 10(11), pages 1-24, October.
    14. Christine Milchram & Geerten Van de Kaa & Neelke Doorn & Rolf Künneke, 2018. "Moral Values as Factors for Social Acceptance of Smart Grid Technologies," Sustainability, MDPI, vol. 10(8), pages 1-23, August.
    15. Amel Attour & Marco Baudino & Jackie Krafft & Nathalie Lazaric, 2020. "Determinants of smart energy tracking application use at the city level: Evidence from France," Post-Print hal-02942483, HAL.
    16. Wenqing Zhang & Biao Luo, 2023. "Predicting consumer intention toward eco-friendly smart home services: extending the theory of planned behavior," Economic Change and Restructuring, Springer, vol. 56(5), pages 3335-3352, October.
    17. Philippe Odou & Marie Schill, 2020. "How anticipated emotions shape behavioral intentions to fight climate change," Post-Print hal-02929920, HAL.
    18. Alvino, Letizia & Dangelico, Rosa Maria, 2022. "Investigating the antecedents of consumer behavioral intention for sustainable fashion products: Evidence from a large survey of Italian consumers," Other publications TiSEM ed6b6a75-2a9f-4b6e-8076-9, Tilburg University, School of Economics and Management.
    19. WeiYu Ji & Edwin H. W. Chan, 2019. "Critical Factors Influencing the Adoption of Smart Home Energy Technology in China: A Guangdong Province Case Study," Energies, MDPI, vol. 12(21), pages 1-24, November.
    20. Perri, Cecilia & Giglio, Carlo & Corvello, Vincenzo, 2020. "Smart users for smart technologies: Investigating the intention to adopt smart energy consumption behaviors," Technological Forecasting and Social Change, Elsevier, vol. 155(C).

    More about this item

    JEL classification:

    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:anresc:v:68:y:2022:i:2:d:10.1007_s00168-021-01082-x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.