IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-97-5452-6_5.html
   My bibliography  Save this book chapter

Analyzing the Influence of Artificial Intelligence on Consumers’ Online Purchase Intentions

In: Disruptive Technology and Business Continuity

Author

Listed:
  • Chi Thi Kim Nguyen

    (Ho Chi Minh City Open University)

  • Y Thi Nhu Nguyen

    (Ho Chi Minh City Open University)

  • Anh Ngoc Tuan Bui

    (Ho Chi Minh City Open University)

Abstract

Artificial intelligence (AI) is rapidly advancing and has a significant impact on the online shopping market. The purpose of this study is to identify the factors that influence attitudes toward AI and online purchase intentions. The factors under investigation include perceived usefulness, perceived e-WOM, and perceived customization. The study uses qualitative and quantitative research methods. Through 366 data collected, we have information about people who used to shop online in Ho Chi Minh City. The results analyzed through PLS-SEM showed similarities with the previous findings. Previous studies have shown that perceived usefulness, perceived e-WOM, and perceived customization affect attitude toward AI and this study is no exception. Limitations include sample size, and future research could benefit from implementing probability sampling methods for increased generalizability. This research offers valuable insights for e-commerce businesses aiming to effectively utilize AI by focusing on developing functionalities that improve perceived usefulness and user experience.

Suggested Citation

  • Chi Thi Kim Nguyen & Y Thi Nhu Nguyen & Anh Ngoc Tuan Bui, 2024. "Analyzing the Influence of Artificial Intelligence on Consumers’ Online Purchase Intentions," Springer Books, in: Le Thanh Tung & Nguyen Hoang Sinh & Pham Ha (ed.), Disruptive Technology and Business Continuity, pages 67-78, Springer.
    • Handle: RePEc:spr:sprchp:978-981-97-5452-6_5
    DOI: 10.1007/978-981-97-5452-6_5
    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 search for a similarly titled item that would be available.

    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:sprchp:978-981-97-5452-6_5. 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.