IDEAS home Printed from https://ideas.repec.org/a/inm/orisre/v36y2025i1p508-533.html
   My bibliography  Save this article

Addressing Online Users’ Suspicion of Sponsored Search Results: Effects of Informational Cues

Author

Listed:
  • Honglin Deng

    (Advanced Institute of Business, Tongji University, Shanghai 200070, China)

  • Weiquan Wang

    (CUHK Business School, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region, China)

  • Kai H. Lim

    (Faculty of Business, The Hong Kong Polytechnic University, Kowloon, Hong Kong Special Administrative Region, China)

Abstract

Sponsored search results (SSRs) that deviate from users’ search queries often raise suspicion despite receiving positive evaluations from previous users. Such a suspicion typically prompts users to avoid SSRs. To address this issue, our study focuses on the role of online informational cues, such as product reviews and ratings from user-generated content, in reducing users’ suspicion when encountering these SSRs. Drawing on the theoretical perspective of state suspicion, we contextualize the dimensions of suspicion in the SSR context, including decision uncertainty , perceived malintent of the search platform , and processing of an SSR . We propose theory-based strategies for reducing the suspicion of users by incorporating informational cues about an SSR in the product search process in e-commerce contexts. Specifically, we theorize that the internalization of an informational cue can reduce users’ decision uncertainty and/or their perceived malintent of the platform, which will increase their processing of an SSR. Our approach also considers contingent factors that trigger users’ internalization. We conducted three laboratory experiments, and the results support our theorization. Our study uncovers the internalization mechanism of informational cues in addressing the suspicion of users in online information search contexts and offers practical implications to e-commerce platforms to facilitate users’ decision-making processes.

Suggested Citation

  • Honglin Deng & Weiquan Wang & Kai H. Lim, 2025. "Addressing Online Users’ Suspicion of Sponsored Search Results: Effects of Informational Cues," Information Systems Research, INFORMS, vol. 36(1), pages 508-533, March.
  • Handle: RePEc:inm:orisre:v:36:y:2025:i:1:p:508-533
    DOI: 10.1287/isre.2021.0364
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/isre.2021.0364
    Download Restriction: no

    File URL: https://libkey.io/10.1287/isre.2021.0364?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:inm:orisre:v:36:y:2025:i:1:p:508-533. 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 Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.