IDEAS home Printed from https://ideas.repec.org/a/eee/ijoais/v10y2009i2p65-78.html
   My bibliography  Save this article

An evidential reasoning approach to Sarbanes-Oxley mandated internal control risk assessment

Author

Listed:
  • Mock, Theodore J.
  • Sun, Lili
  • Srivastava, Rajendra P.
  • Vasarhelyi, Miklos

Abstract

In response to the enactment of the Sarbanes-Oxley Act 2002 and of the release of the Public Company Accounting Oversight Board (PCAOB) Auditing Standard No. 5, this study develops a risk-based evidential reasoning approach for assessing the effectiveness of internal controls over financial reporting (ICoFR). This approach provides a structured methodology for assessing the effectiveness of ICoFR by considering relevant factors and their interrelationships. The Dempster-Shafer theory of belief functions is utilized for representing risk.

Suggested Citation

  • Mock, Theodore J. & Sun, Lili & Srivastava, Rajendra P. & Vasarhelyi, Miklos, 2009. "An evidential reasoning approach to Sarbanes-Oxley mandated internal control risk assessment," International Journal of Accounting Information Systems, Elsevier, vol. 10(2), pages 65-78.
    • Handle: RePEc:eee:ijoais:v:10:y:2009:i:2:p:65-78
    DOI: 10.1016/j.accinf.2008.10.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1467089508000559
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.accinf.2008.10.003?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.

    References listed on IDEAS

    as
    1. Grimlund, Ra, 1982. "An Integration Of Internal Control-System And Account Balance Evidence," Journal of Accounting Research, Wiley Blackwell, vol. 20(2), pages 316-342.
    2. Srivastava, Rp, 1986. "Auditing Functions For Internal Control-Systems With Interdependent Documents And Channels," Journal of Accounting Research, Wiley Blackwell, vol. 24(2), pages 422-426.
    3. Chambers, Ae & Penman, Sh, 1984. "Timeliness Of Reporting And The Stock-Price Reaction To Earnings Announcements," Journal of Accounting Research, Wiley Blackwell, vol. 22(1), pages 21-47.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Srivastava, Rajendra P., 2011. "An introduction to evidential reasoning for decision making under uncertainty: Bayesian and belief function perspectives," International Journal of Accounting Information Systems, Elsevier, vol. 12(2), pages 126-135.
    2. Heise, David & Strecker, Stefan & Frank, Ulrich, 2014. "ControlML: A domain-specific modeling language in support of assessing internal controls and the internal control system," International Journal of Accounting Information Systems, Elsevier, vol. 15(3), pages 224-245.
    3. Abernathy, John L. & Barnes, Michael & Stefaniak, Chad, 2013. "A summary of 10 years of PCAOB research: What have we learned?," Journal of Accounting Literature, Elsevier, vol. 32(1), pages 30-60.
    4. Jans, Mieke & Lybaert, Nadine & Vanhoof, Koen, 2010. "Internal fraud risk reduction: Results of a data mining case study," International Journal of Accounting Information Systems, Elsevier, vol. 11(1), pages 17-41.
    5. Dieter De Smet & Anne-Laure Mention, 2011. "Improving auditor effectiveness in assessing KYC/AML practices: Case study in a Luxembourgish context," Managerial Auditing Journal, Emerald Group Publishing, vol. 26(2), pages 182-203, January.
    6. Hironori Fukukawa & Theodore J. Mock & Rajendra P. Srivastava, 2014. "Assessing the Risk of Fraud at Olympus and Identifying an Effective Audit Plan," The Japanese Accounting Review, Research Institute for Economics & Business Administration, Kobe University, vol. 4, pages 1-25, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yun Meng & Christos Pantzalis, 2021. "Lottery-type stocks and corporate strategies at the turn of the month," Review of Quantitative Finance and Accounting, Springer, vol. 56(3), pages 1027-1055, April.
    2. Shai Levi & Xiao-Jun Zhang, 2015. "Do Temporary Increases in Information Asymmetry Affect the Cost of Equity?," Management Science, INFORMS, vol. 61(2), pages 354-371, February.
    3. Kajüter, Peter & Klassmann, Florian & Nienhaus, Martin, 2016. "Do Reviews by External Auditors Improve the Information Content of Interim Financial Statements?," The International Journal of Accounting, Elsevier, vol. 51(1), pages 23-50.
    4. Cory Cassell & Emily Hunt & Gans Narayanamoorthy & Stephen P. Rowe, 2019. "A hidden risk of auditor industry specialization: evidence from the financial crisis," Review of Accounting Studies, Springer, vol. 24(3), pages 891-926, September.
    5. Mark Wong & Adrian Wai Kong Cheung & Wei Hu, 2021. "When two anomalies meet: Volume and timing effects on earnings announcements," The Financial Review, Eastern Finance Association, vol. 56(2), pages 355-380, May.
    6. Pevzner, Mikhail & Xie, Fei & Xin, Xiangang, 2015. "When firms talk, do investors listen? The role of trust in stock market reactions to corporate earnings announcements," Journal of Financial Economics, Elsevier, vol. 117(1), pages 190-223.
    7. Jeff L. McMullin & Brian P. Miller & Brady J. Twedt, 2019. "Increased mandated disclosure frequency and price formation: evidence from the 8-K expansion regulation," Review of Accounting Studies, Springer, vol. 24(1), pages 1-33, March.
    8. Maria Jose Arcas Pellicer & William Page Rees, 1999. "Regularities in the equity price response to earnings announcements in Spain," European Accounting Review, Taylor & Francis Journals, vol. 8(4), pages 585-607.
    9. Kenneth B. Schwartz & Billy S. Soo, 1996. "The Association Between Auditor Changes and Reporting Lags," Contemporary Accounting Research, John Wiley & Sons, vol. 13(1), pages 353-370, March.
    10. Li, Hao & Li, Zhisheng & Lin, Bingxuan & Xu, Xiaowei, 2019. "The effect of short sale constraints on analyst forecast quality: Evidence from a natural experiment in China," Economic Modelling, Elsevier, vol. 81(C), pages 338-347.
    11. Yang, Heejin & Ahn, Hee-Joon & Kim, Maria H. & Ryu, Doojin, 2017. "Information asymmetry and investor trading behavior around bond rating change announcements," Emerging Markets Review, Elsevier, vol. 32(C), pages 38-51.
    12. Michael D. Grubb, 2011. "Developing a Reputation for Reticence," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 20(1), pages 225-268, March.
    13. Daniel, Kent & Hirshleifer, David & Teoh, Siew Hong, 2002. "Investor psychology in capital markets: evidence and policy implications," Journal of Monetary Economics, Elsevier, vol. 49(1), pages 139-209, January.
    14. Chen, Linda H. & Jiang, George J. & Zhu, Kevin X., 2018. "Total attention: The effect of macroeconomic news on market reaction to earnings news," Journal of Banking & Finance, Elsevier, vol. 97(C), pages 142-156.
    15. Zhenjie Wang & Jiewei Zhang & Hafeez Ullah, 2023. "Exploring the Multidimensional Perspective of Retail Investors’ Attention: The Mediating Influence of Corporate Governance and Information Disclosure on Corporate Environmental Performance in China," Sustainability, MDPI, vol. 15(15), pages 1-33, August.
    16. Jacob Thomas & Frank Zhang, 2008. "Overreaction to Intra‐industry Information Transfers?," Journal of Accounting Research, Wiley Blackwell, vol. 46(4), pages 909-940, September.
    17. Aman, Hiroyuki & Nguyen, Pascal, 2008. "Do stock prices reflect the corporate governance quality of Japanese firms?," Journal of the Japanese and International Economies, Elsevier, vol. 22(4), pages 647-662, December.
    18. Nikolaos Eriotis & Dimitrios Vasiliou & Vasileios Zisis, 2004. "The Asymmetric Timeliness in the Reporting of Good and Bad News of Firms That Trade in the Athens Stock Exchange," European Research Studies Journal, European Research Studies Journal, vol. 0(3-4), pages 103-103.
    19. Linda H. Chen & Wei Huang & George J. Jiang & Kevin X. Zhu, 2022. "Why do investors discount earnings announced late?," Review of Quantitative Finance and Accounting, Springer, vol. 58(3), pages 977-1014, April.
    20. Byung T. Ro, 1989. "Earnings news and the firm size effect," Contemporary Accounting Research, John Wiley & Sons, vol. 6(1), pages 177-195, September.

    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:ijoais:v:10:y:2009:i:2:p:65-78. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: https://www.journals.elsevier.com/international-journal-of-accounting-information-systems/ .

    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.