IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-538-6_30.html

Analysis and Modeling of Influential Factors Based on Consumer Ambivalence Attitude Theory

In: Proceedings of the 4th International Conference on Economic Development and Business Culture (ICEDBC 2024)

Author

Listed:
  • Xiaoyan Guo

    (Beijing University of Chemical Technology)

  • Zilei Bao

    (Beijing University of Chemical Technology)

  • Heda Zhang

    (Beijing University of Chemical Technology)

Abstract

Based on ambivalence theory, this paper proposes a model of five types of factors affecting the ambivalence of consumers of prepared foods, surveys and collects questionnaires from the Beijing population, and at the same time applies the innovative and optimized ambivalence objective measurement formula for data collection and processing, and verifies that the price sensitivity, brand emotion, consumer knowledge, long-term outcome considerations, and subjective norms have a significant negative impact on consumers’ ambivalence, of which the price sensitivity has the greatest impact and the subjective norms the least. The influence of price sensitivity is the largest, and subjective norms are the smallest. The conclusion of the study provides a theoretical basis and formula optimization direction for further research on consumers’ ambivalence and purchase intention, and also provides management insights for prepared vegetable enterprises.

Suggested Citation

  • Xiaoyan Guo & Zilei Bao & Heda Zhang, 2024. "Analysis and Modeling of Influential Factors Based on Consumer Ambivalence Attitude Theory," Advances in Economics, Business and Management Research, in: Zhikai Wang & Guijie Zhang & R. Ganesan & Abdul Hadi Zulkafli & Teh Sin Yin (ed.), Proceedings of the 4th International Conference on Economic Development and Business Culture (ICEDBC 2024), pages 264-271, Springer.
  • Handle: RePEc:spr:advbcp:978-94-6463-538-6_30
    DOI: 10.2991/978-94-6463-538-6_30
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;

    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:advbcp:978-94-6463-538-6_30. 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: 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.