IDEAS home Printed from https://ideas.repec.org/a/taf/tbitxx/v43y2024i2p331-352.html
   My bibliography  Save this article

Influence of chatbots on purchase intention in social commerce

Author

Listed:
  • Pranay Sindhu
  • Kumkum Bharti

Abstract

The research investigates the effects of chatbot-delivered verbal (inspirational appeals) and non-verbal (ingratiation) cues on customers’ purchase intentions on social commerce pages (study one). The research using a multi-method approach also investigates the role of social presence and ulterior motives in explaining the effects of the chatbot-delivered human-like cues on customers’ purchase intentions (study two). Study one employs an experiment, followed by a structural equation model in study two. The results of study two enable the researchers to triangulate the results of study one and to understand the underlying causes of those results. The data was collected through an online experiment and an online survey for the two studies. The research reports that: (1) inspirational appeals delivered by chatbots positively influence purchase intentions; (2) ingratiation delivered using double-tap by chatbots does not significantly affect purchase intentions. The current research represents one of the first attempts to explore the influence of inspirational appeal and ingratiation delivered through chatbots on s-commerce purchase intentions. The findings of the study provide managerial insights to social commerce pages that could help engage customers and circumvent the attribution of ulterior motives while making a sale.

Suggested Citation

  • Pranay Sindhu & Kumkum Bharti, 2024. "Influence of chatbots on purchase intention in social commerce," Behaviour and Information Technology, Taylor & Francis Journals, vol. 43(2), pages 331-352, January.
  • Handle: RePEc:taf:tbitxx:v:43:y:2024:i:2:p:331-352
    DOI: 10.1080/0144929X.2022.2163188
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0144929X.2022.2163188
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/0144929X.2022.2163188?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    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:taf:tbitxx:v:43:y:2024:i:2:p:331-352. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tbit .

    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.