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Empirical Examination of Users’ Adoption of the Sharing Economy in China Using an Expanded Technology Acceptance Model

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  • Yupeng Liu

    (School of Economics and Management, Harbin Institute of Technology, Weihai 264209, China)

  • Yutao Yang

    (School of Economics and Management, Harbin Institute of Technology, Weihai 264209, China)

Abstract

With the popularity of sharing-based applications such as bicycle and car sharing, the sharing economy has attracted considerable global attention. The factors that affect users’ adoption of the sharing economy must be identified to facilitate the promotion of low-carbon lifestyles and help enterprises attract more active users. By employing the technology acceptance model (TAM) and herd behavior, this study implemented an expanded TAM and identified several factors affecting behavioral intention (BI) toward the sharing economy. A questionnaire was used to obtain the data, which were analyzed through structural equation modeling. The results revealed that perceived usefulness (PU) and perceived ease of use (PEOU) are the main factors affecting BI. Moreover, trust (TRU) was identified as a mediator of subjective norm (SN) and PEOU. Imitating others (IMI) affects BI, and SN affects TRU, PU, and PEOU. Gender moderates SN and IMI. This paper indicates that to improve users’ BI, enterprises should enhance PU, PEOU, and TRU; cooperate with organizations to enhance SN; and guide potential users to imitate others.

Suggested Citation

  • Yupeng Liu & Yutao Yang, 2018. "Empirical Examination of Users’ Adoption of the Sharing Economy in China Using an Expanded Technology Acceptance Model," Sustainability, MDPI, vol. 10(4), pages 1-17, April.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:4:p:1262-:d:142140
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    2. Liang, Jyun-Kai & Eccarius, Timo & Lu, Chung-Cheng, 2019. "Investigating factors that affect the intention to use shared parking: A case study of Taipei City," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 799-812.
    3. G. Rejikumar & Aswathy Asokan-Ajitha & Sofi Dinesh & Ajay Jose, 2022. "The role of cognitive complexity and risk aversion in online herd behavior," Electronic Commerce Research, Springer, vol. 22(2), pages 585-621, June.
    4. Baumber, Alex & Scerri, Moira & Schweinsberg, Stephen, 2019. "A social licence for the sharing economy," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 12-23.
    5. Yupeng Liu & Yutao Yang & Yue Liu & Gwo-Hshiung Tzeng, 2019. "Improving Sustainable Mobile Health Care Promotion: A Novel Hybrid MCDM Method," Sustainability, MDPI, vol. 11(3), pages 1-29, January.
    6. Erjavec, Jure & Manfreda, Anton, 2022. "Online shopping adoption during COVID-19 and social isolation: Extending the UTAUT model with herd behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    7. José Alberto Martínez-González & Eduardo Parra-López & Almudena Barrientos-Báez, 2021. "Young Consumers’ Intention to Participate in the Sharing Economy: An Integrated Model," Sustainability, MDPI, vol. 13(1), pages 1-21, January.
    8. Elfriede Penz & Barbara Hartl & Eva Hofmann, 2018. "Collectively Building a Sustainable Sharing Economy Based on Trust and Regulation," Sustainability, MDPI, vol. 10(10), pages 1-6, October.
    9. Baumber, Alex & Schweinsberg, Stephen & Scerri, Moira & Kaya, Ece & Sajib, Shahriar, 2021. "Sharing begins at home: A social licence framework for home sharing practices," Annals of Tourism Research, Elsevier, vol. 91(C).
    10. Xiaozhou Ye, 2022. "Bike-Sharing Adoption in Cross-National Contexts: An Empirical Research on the Factors Affecting Users’ Intentions," Sustainability, MDPI, vol. 14(6), pages 1-19, March.
    11. Dezhi Chen & Ningning You & Feng Lv, 2019. "Study on Sharing Characteristics and Sustainable Development Performance: Mediating Role of the Ecosystem Strategy," Sustainability, MDPI, vol. 11(23), pages 1-20, December.

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