IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i24p14045-d706523.html
   My bibliography  Save this article

Research on the Impact of High-End Ev Sales Business Model on Brand Competitiveness

Author

Listed:
  • Zhen Li

    (School of Public Policy & Management, Tsinghua University, Beijing 100084, China)

  • Fengbo Liang

    (Department of Physical Education, Beijing Jiaotong University, Beijing 100044, China)

  • Minjiao Cheng

    (School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China)

Abstract

Electric vehicles have many advantages compared with traditional fuel vehicles, whereas the immaturity of technologies and high manufacturing cost make it difficult for EV brands to be promoted in traditional business models. Thus, auto-mobile companies started to establish high-end sales business model to promote the brand. This paper studies the influential mechanism of high-end EV sales business model on brand competitiveness and the mediation effect between high-end EV sales business model and brand competitiveness. A total of 624 consumers’ survey data were collected and the structural equation model (SEM) was analyzed to test the hypotheses by using a scale made up of indicators referring to high-end EV sales business model, brand competitiveness and customer perceived value. This paper contributes to the sustainable innovation literature by exploring the psychological perception of customer perceived value in strengthening brand competitiveness. The results show that both the value proposition and value creation of high-end EV sales business model have significant positive impacts on brand competitiveness. Moreover, customer perceived value fully mediates the relationships between the value proposition of high-end EV sales business model and brand competitiveness and between the value creation and brand competitiveness. Customer perceived value cannot mediate the relationship between the value capture of high-end EV sales business model and brand competitiveness. Our insights contribute to the business model research area from a customer-centric perspective.

Suggested Citation

  • Zhen Li & Fengbo Liang & Minjiao Cheng, 2021. "Research on the Impact of High-End Ev Sales Business Model on Brand Competitiveness," Sustainability, MDPI, vol. 13(24), pages 1-20, December.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:24:p:14045-:d:706523
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/24/14045/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/24/14045/
    Download Restriction: no
    ---><---

    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:gam:jsusta:v:13:y:2021:i:24:p:14045-:d:706523. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.