IDEAS home Printed from https://ideas.repec.org/a/igg/rmj000/v18y2005i3p32-49.html
   My bibliography  Save this article

What Builds System Troubleshooter Trust the Best: Experiential or Non-Experiential Factors?

Author

Listed:
  • D. Harrison McKnight

    (Michigan State University, USA)

  • Norman L. Chervany

    (University of Minnesota, USA)

Abstract

System troubleshooters keep important organizational systems operating. This study examines factors influencing system troubleshooter trust in their supervisors, contrasting experiential and non-experiential factors. Traditional research suggests that trust forms through interactional experience. Recent research indicates that initial interpersonal trust develops through non-experiential factors that are dispositional (individual differences-related) or institutional (structural/situational). We found that both institutional and dispositional factors affected troubleshooter trust in the supervisor even after parties gained experience with each other. Quality of experience with the supervisor affected interpersonal trust, while quantity of experience did not. Surprisingly, institutional trust predicted trusting beliefs as strongly as did quality of experience. The study shows that both experiential and non-experiential factors are important to troubleshooter trust when parties know each other well.

Suggested Citation

  • D. Harrison McKnight & Norman L. Chervany, 2005. "What Builds System Troubleshooter Trust the Best: Experiential or Non-Experiential Factors?," Information Resources Management Journal (IRMJ), IGI Global, vol. 18(3), pages 32-49, July.
  • Handle: RePEc:igg:rmj000:v:18:y:2005:i:3:p:32-49
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/irmj.2005070103
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Aityoussef, Asmaa & Belhcen, Lhacen, 2022. "“A predictive model of building initial trust in sharing economy: MULTI-DIMENSIONAL analysis of facebook users in Morocco”," Technology in Society, Elsevier, vol. 71(C).
    2. Upasana Singh & Kailash B. L. Srivastava, 2009. "Nurturing Interpersonal Trust for Knowledge Sharing," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 34(2), pages 183-201, May.
    3. Malhotra, Neeru & Sahadev, Sunil & Purani, Keyoor, 2017. "Psychological contract violation and customer intention to reuse online retailers: Exploring mediating and moderating mechanisms," Journal of Business Research, Elsevier, vol. 75(C), pages 17-28.

    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:igg:rmj000:v:18:y:2005:i:3:p:32-49. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.