IDEAS home Printed from https://ideas.repec.org/a/sae/sagope/v14y2024i1p21582440231226001.html
   My bibliography  Save this article

The Effect of AI Chatbots on Pro-environment Attitude and Willingness to Pay for Environment Protection

Author

Listed:
  • Nguyen Thi Khanh Chi

Abstract

Since AI Chatbots are increasingly adopted in different industries, the purpose of this paper is to examine the influence of AI Chatbots on pro-environment attitudes and willingness to pay for environmental protection. By employing quantitative methodology, multivariate data analysis was conducted to test the effects of AI Chatbot in terms of its interaction, anonymity, customization, and problem-solving on pro-environmental attitudes and individual willingness to pay for environment protection. This study reveals the critical role of Chatbots in encouraging people to protect the environment. Problem-solving is found to be the highest influence on both pro-environmental attitudes and individual willingness to pay. Meanwhile, interaction, anonymity, and customization were revealed to affect WTP indirectly through pro-environmental attitudes. Therefore, digitalization by exploring new technology like AI Chatbots becomes an important concern to reduce the negative actions of humans on the environment and Carbon emissions and develop agricultural tourism activities toward green production.

Suggested Citation

  • Nguyen Thi Khanh Chi, 2024. "The Effect of AI Chatbots on Pro-environment Attitude and Willingness to Pay for Environment Protection," SAGE Open, , vol. 14(1), pages 21582440231, February.
    • Handle: RePEc:sae:sagope:v:14:y:2024:i:1:p:21582440231226001
    DOI: 10.1177/21582440231226001
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/21582440231226001
    Download Restriction: no
    File URL: https://libkey.io/10.1177/21582440231226001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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:sae:sagope:v:14:y:2024:i:1:p:21582440231226001. 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: SAGE Publications (email available below). General contact details of provider: .

    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.