IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i1p485-d716816.html
   My bibliography  Save this article

Threat to Nature Connectedness: How Does It Influence Consumers’ Preferences for Automated Products?

Author

Listed:
  • Ke Zhang

    (SILC Business School, Shanghai University, Shanghai 200444, China)

  • Jian Tao

    (School of Foreign Studies, Shanghai University of Finance and Economics, Shanghai 200433, China)

Abstract

Connection with the natural world is a fundamental human need related to sustainable development. However, such a human need is very likely to be threatened in modern, industrialized society. This paper represents the first attempt to investigate the effect of perceived disconnection from nature on consumers’ preference for automated products (e.g., virtual assistants). Based on two surveys (276 adult participants) and one experimental study (282 adult participants), we found that perceived disconnection from nature can magnify consumers’ resistance to automated products. We further examined the underlying mechanism through moderated mediation model and revealed that consumers who perceive greater nature disconnection are less likely to perceive automated products as helpful friends, leading to a lower likelihood of adopting these products. The present research unveils this novel effect of perceived disconnection with nature on consumer behavior and provides fresh insight into how consumers’ preferences for automated products can be influenced by psychology rather than technology. Additionally, these findings can extend the research regarding sustainable consumption.

Suggested Citation

  • Ke Zhang & Jian Tao, 2022. "Threat to Nature Connectedness: How Does It Influence Consumers’ Preferences for Automated Products?," Sustainability, MDPI, vol. 14(1), pages 1-14, January.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:1:p:485-:d:716816
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/1/485/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/1/485/
    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:14:y:2022:i:1:p:485-:d:716816. 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.