IDEAS home Printed from https://ideas.repec.org/a/eee/aosoci/v19y1994i8p701-716.html
   My bibliography  Save this article

Modeling the determinants of audit expertise

Author

Listed:
  • Libby, Robert
  • Tan, Hun-Tong

Abstract

No abstract is available for this item.

Suggested Citation

  • Libby, Robert & Tan, Hun-Tong, 1994. "Modeling the determinants of audit expertise," Accounting, Organizations and Society, Elsevier, vol. 19(8), pages 701-716, November.
    • Handle: RePEc:eee:aosoci:v:19:y:1994:i:8:p:701-716
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0361-3682(94)90030-2
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Dennis, Sean A. & Johnstone, Karla M., 2018. "A natural field experiment examining the joint role of audit partner leadership and subordinates’ knowledge in fraud brainstorming," Accounting, Organizations and Society, Elsevier, vol. 66(C), pages 14-28.
    2. Choo, Freddie, 1996. "Auditors' knowledge content and judgment performance: A cognitive script approach," Accounting, Organizations and Society, Elsevier, vol. 21(4), pages 339-359, May.
    3. Kim Ittonen & Karla Johnstone & Emma-Riikka Myllym�ki, 2015. "Audit Partner Public-Client Specialisation and Client Abnormal Accruals," European Accounting Review, Taylor & Francis Journals, vol. 24(3), pages 607-633, September.
    4. Stone, Dan N. & Hunton, James E. & Wier, Benson, 2000. "Succeeding in managerial accounting. Part 1: knowledge, ability, and rank," Accounting, Organizations and Society, Elsevier, vol. 25(7), pages 697-715, October.
    5. Glover, Steven M. & Prawitt, Douglas F. & Spilker, Brian C., 1997. "The Influence of Decision Aids on User Behavior: Implications for Knowledge Acquisition and Inappropriate Reliance," Organizational Behavior and Human Decision Processes, Elsevier, vol. 72(2), pages 232-255, November.
    6. DeZoort, F. Todd & Holt, Travis & Taylor, Mark H., 2012. "A test of the auditor reliability framework using lenders’ judgments," Accounting, Organizations and Society, Elsevier, vol. 37(8), pages 519-533.
    7. David T. Dearman & Michael D. Shields, 2005. "Avoiding Accounting Fixation: Determinants of Cognitive Adaptation to Differences in Accounting Method," Contemporary Accounting Research, John Wiley & Sons, vol. 22(2), pages 351-384, June.
    8. Iyer, Venkataraman M. & Bamber, E. Michael & Barefield, Russell M., 1997. "Identification of accounting firm alumni with their former firm: Antecedents and outcomes," Accounting, Organizations and Society, Elsevier, vol. 22(3-4), pages 315-336.
    9. Agulles, Remei & Prats, Mª Julia, 2011. "Learning in practice: What organizational and management literature can contribute to professional and occupational development," IESE Research Papers D/938, IESE Business School.
    10. Dezoort, F. T., 1998. "An analysis of experience effects on audit committee members' oversight judgments," Accounting, Organizations and Society, Elsevier, vol. 23(1), pages 1-21, January.
    11. Bills, Kenneth L. & Cobabe, Matthew & Pittman, Jeffrey & Stein, Sarah E., 2020. "To share or not to share: The importance of peer firm similarity to auditor choice," Accounting, Organizations and Society, Elsevier, vol. 83(C).
    12. Gultom, Juan Barus & Murwaningsari, Etty & Umar, Haryono & Mayangsari, Sekar, 2021. "Reciprocal Use of Artificial Intelligence in Audit Assignments," Journal of Accounting, Business and Finance Research, Scientific Publishing Institute, vol. 11(1), pages 9-20.
    13. Covaleski, Mark A. & Earley, Christine E. & Zehms, Karla M., 2021. "The lived reality of public accounting interns," Journal of Accounting Education, Elsevier, vol. 56(C).
    14. Shabnam Fazli Aghghaleh & Zakiah Muhammaddun Mohamed, 2014. "Fraud Risk Factors of Fraud Triangle and the Likelihood of Fraud Occurrence: Evidence from Malaysia," Information Management and Business Review, AMH International, vol. 6(1), pages 1-7.
    15. Rodgers, Waymond & Guiral, Andrés, 2011. "Potential model misspecification bias: Formative indicators enhancing theory for accounting researchers," The International Journal of Accounting, Elsevier, vol. 46(1), pages 25-50, March.
    16. Hunton, James E. & Wier, Benson & Stone, Dan N., 2000. "Succeeding in managerial accounting. Part 2: a structural equations analysis," Accounting, Organizations and Society, Elsevier, vol. 25(8), pages 751-762, November.

    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:eee:aosoci:v:19:y:1994:i:8:p:701-716. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/aos .

    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.