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

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  • 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
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    References listed on IDEAS

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    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).

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    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

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