IDEAS home Printed from https://ideas.repec.org/a/taf/euract/v30y2021i1p115-142.html
   My bibliography  Save this article

Auditor Selection Process: An Interplay of Demand Mechanisms – A Multilevel Network Approach

Author

Listed:
  • Slobodan Kacanski
  • Dean Lusher
  • Peng Wang

Abstract

Studies on demand side mechanisms related to experience goods argue that demand is driven by recommendation and reputation. In an auditing context, research showed that both of these mechanisms play an important role in determining partner selection, however, only when the mechanisms are observed in isolation. On this basis, this study raises a concern about whether the mechanisms are mutually exclusive, and if not, how does recommendation and reputation in auditor selection context create an interplay in the process of auditor selection. We test our hypotheses on network data of Danish public companies. Findings from the social network study indicate that auditor selection is a sensitive and complex task for boards of directors, as it is not only driven by either of the mechanisms. Rather, partner selection is driven by the combination of both recommendation and reputation, which creates the interplay and, thus, indicates that the demand mechanisms are not mutually exclusive and should not be observed in isolation of one another.

Suggested Citation

  • Slobodan Kacanski & Dean Lusher & Peng Wang, 2021. "Auditor Selection Process: An Interplay of Demand Mechanisms – A Multilevel Network Approach," European Accounting Review, Taylor & Francis Journals, vol. 30(1), pages 115-142, January.
  • Handle: RePEc:taf:euract:v:30:y:2021:i:1:p:115-142
    DOI: 10.1080/09638180.2020.1740755
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/09638180.2020.1740755
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/09638180.2020.1740755?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.

    Citations

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


    Cited by:

    1. Hu, Zhiying & Yang, Haiyan & Zhang, Yuyu, 2022. "Shared auditors, social trust, and relationship-specific investment in the supply chain," Journal of Contemporary Accounting and Economics, Elsevier, vol. 18(3).

    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:euract:v:30:y:2021:i:1:p:115-142. 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/REAR20 .

    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.