IDEAS home Printed from https://ideas.repec.org/a/ers/journl/vxxiiiy2020ispecial2p622-637.html
   My bibliography  Save this article

Identification of a Fraudulent Organizational Culture in Enterprises Listed in Warsaw Stock Exchange

Author

Listed:
  • Joanna Wyrobek
  • Lukasz Poplawski
  • Marcin Surowka

Abstract

Purpose: This publication aims to verify the research hypothesis that it is possible to create a model predicting a fraudulent organizational culture in an enterprise. Design/Methodology/Approach: We estimated a logit model that would warn against fraud by employees, fraudulent financial reporting, and direct manipulation of the financial statements. The model would only caution about the possibility of the fraud risk and force a human analysis of such an entity. Findings: We searched for scams in the press and police investigations that ended with charges against directors, managers, and employees of enterprises where there was financial damage on a large scale. We were mainly looking for intentional and deliberate frauds. Practtical Implications: We created a model that warns which companies may have an unfair corporate culture for Polish companies listed on the WSE. Originality/Value: An element of the novelty in the publication is an attempt of a comprehensive approach to fraud, i.e., going beyond manipulating the financial result or penalties by the commission supervising the stock exchanges and financial markets.It is also one of the first fraud detection models which was designed for companies listed on the Warsaw Stock Exchange.

Suggested Citation

  • Joanna Wyrobek & Lukasz Poplawski & Marcin Surowka, 2020. "Identification of a Fraudulent Organizational Culture in Enterprises Listed in Warsaw Stock Exchange," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 2), pages 622-637.
  • Handle: RePEc:ers:journl:v:xxiii:y:2020:i:special2:p:622-637
    as

    Download full text from publisher

    File URL: https://www.ersj.eu/journal/1845/download
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. David F. Larcker & Anastasia A. Zakolyukina, 2012. "Detecting Deceptive Discussions in Conference Calls," Journal of Accounting Research, Wiley Blackwell, vol. 50(2), pages 495-540, May.
    2. Lynnette Purda & David Skillicorn, 2015. "Accounting Variables, Deception, and a Bag of Words: Assessing the Tools of Fraud Detection," Contemporary Accounting Research, John Wiley & Sons, vol. 32(3), pages 1193-1223, September.
    3. Burcu Dikmen & Güray Küçükkocaoğlu, 2010. "The detection of earnings manipulation: the three-phase cutting plane algorithm using mathematical programming," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(5), pages 442-466.
    4. Edward I. Altman, 1968. "The Prediction Of Corporate Bankruptcy: A Discriminant Analysis," Journal of Finance, American Finance Association, vol. 23(1), pages 193-194, March.
    5. Bethany Hoogs & Thomas Kiehl & Christina Lacomb & Deniz Senturk, 2007. "A genetic algorithm approach to detecting temporal patterns indicative of financial statement fraud," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 15(1‐2), pages 41-56, January.
    6. Jessen L. Hobson & William J. Mayew & Mohan Venkatachalam, 2012. "Analyzing Speech to Detect Financial Misreporting," Journal of Accounting Research, Wiley Blackwell, vol. 50(2), pages 349-392, May.
    7. Kurt M. Fanning & Kenneth O. Cogger, 1998. "Neural network detection of management fraud using published financial data," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 7(1), pages 21-41, March.
    8. Chrysovalantis Gaganis, 2009. "Classification techniques for the identification of falsified financial statements: a comparative analysis," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 16(3), pages 207-229, July.
    9. Mark Cecchini & Haldun Aytug & Gary J. Koehler & Praveen Pathak, 2010. "Detecting Management Fraud in Public Companies," Management Science, INFORMS, vol. 56(7), pages 1146-1160, July.
    10. Belinna Bai & Jerome Yen & Xiaoguang Yang, 2008. "False Financial Statements: Characteristics Of China'S Listed Companies And Cart Detecting Approach," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 7(02), pages 339-359.
    11. Ehsan Habib Feroz & Taek Mu Kwon & Victor S. Pastena & Kyungjoo Park, 2000. "The efficacy of red flags in predicting the SEC's targets: an artificial neural networks approach," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 9(3), pages 145-157, September.
    12. Ch. Spathis & M. Doumpos & C. Zopounidis, 2002. "Detecting falsified financial statements: a comparative study using multicriteria analysis and multivariate statistical techniques," European Accounting Review, Taylor & Francis Journals, vol. 11(3), pages 509-535.
    13. Leuz, Christian & Nanda, Dhananjay & Wysocki, Peter D., 2003. "Earnings management and investor protection: an international comparison," Journal of Financial Economics, Elsevier, vol. 69(3), pages 505-527, September.
    14. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    Full references (including those not matched with items on IDEAS)

    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. Abdullah Albizri & Deniz Appelbaum & Nicholas Rizzotto, 2019. "Evaluation of financial statements fraud detection research: a multi-disciplinary analysis," International Journal of Disclosure and Governance, Palgrave Macmillan, vol. 16(4), pages 206-241, December.
    2. Adrian Gepp & Kuldeep Kumar & Sukanto Bhattacharya, 2021. "Lifting the numbers game: identifying key input variables and a best‐performing model to detect financial statement fraud," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(3), pages 4601-4638, September.
    3. Elias Zavitsanos & Dimitris Mavroeidis & Konstantinos Bougiatiotis & Eirini Spyropoulou & Lefteris Loukas & Georgios Paliouras, 2023. "Financial misstatement detection: a realistic evaluation," Papers 2305.17457, arXiv.org.
    4. Zvi Singer & Jing Zhang, 2022. "Do companies try to conceal financial misstatements through auditor shopping?," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 49(1-2), pages 140-180, January.
    5. Pavol Durana & Lucia Michalkova & Andrej Privara & Josef Marousek & Milos Tumpach, 2021. "Does the life cycle affect earnings management and bankruptcy?," Oeconomia Copernicana, Institute of Economic Research, vol. 12(2), pages 425-461, June.
    6. Nagar, Neerav & Sen, Kaustav, 2016. "Earnings management in India: Managers’ fixation on operating profits," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 26(C), pages 1-12.
    7. Campa, Domenico & Camacho-Miñano, María-del-Mar, 2015. "The impact of SME’s pre-bankruptcy financial distress on earnings management tools," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 222-234.
    8. Serrano-Cinca, Carlos & Gutiérrez-Nieto, Begoña & Bernate-Valbuena, Martha, 2019. "The use of accounting anomalies indicators to predict business failure," European Management Journal, Elsevier, vol. 37(3), pages 353-375.
    9. Souad Chaieb, 2021. "The Impact of Cash Holding on Debt Cost," International Journal of Economics and Financial Issues, Econjournals, vol. 11(6), pages 75-93.
    10. Chen, Qi & Vashishtha, Rahul, 2017. "The effects of bank mergers on corporate information disclosure," Journal of Accounting and Economics, Elsevier, vol. 64(1), pages 56-77.
    11. Beck, Thorsten & Laeven, Luc, 2006. "Resolution of failed banks by deposit insurers : cross-country evidence," Policy Research Working Paper Series 3920, The World Bank.
    12. Gaganis, Chrysovalantis & Hasan, Iftekhar & Pasiouras, Fotios, 2016. "Regulations, institutions and income smoothing by managing technical reserves: International evidence from the insurance industry," Omega, Elsevier, vol. 59(PA), pages 113-129.
    13. Dan Amiram & Zahn Bozanic & James D. Cox & Quentin Dupont & Jonathan M. Karpoff & Richard Sloan, 2018. "Financial reporting fraud and other forms of misconduct: a multidisciplinary review of the literature," Review of Accounting Studies, Springer, vol. 23(2), pages 732-783, June.
    14. Chaiyasit Anuchitworawong, 2010. "The Value of Principles-Based Governance Practices and the Attenuation of Information Asymmetry," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 17(2), pages 171-207, June.
    15. David Folsom & Paul Hribar & Richard D. Mergenthaler & Kyle Peterson, 2017. "Principles-Based Standards and Earnings Attributes," Management Science, INFORMS, vol. 63(8), pages 2592-2615, August.
    16. Nerissa C. Brown & Richard M. Crowley & W. Brooke Elliott, 2020. "What Are You Saying? Using topic to Detect Financial Misreporting," Journal of Accounting Research, Wiley Blackwell, vol. 58(1), pages 237-291, March.
    17. Frerich Buchholz & Kerstin Lopatta & Karen Maas, 2020. "The Deliberate Engagement of Narcissistic CEOs in Earnings Management," Journal of Business Ethics, Springer, vol. 167(4), pages 663-686, December.
    18. Lauren M. Cunningham & Bret A. Johnson & E. Scott Johnson & Ling Lei Lisic, 2020. "The Switch‐Up: An Examination of Changes in Earnings Management after Receiving SEC Comment Letters†," Contemporary Accounting Research, John Wiley & Sons, vol. 37(2), pages 917-944, June.
    19. Akinobu Shuto & Takuya Iwasaki, 2014. "Stable Shareholdings, the Decision Horizon Problem and Earnings Smoothing," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 41(9-10), pages 1212-1242, November.
    20. Pedro J. García‐Teruel & Pedro Martínez‐Solano & Juan Pedro Sánchez‐Ballesta, 2009. "Accruals quality and corporate cash holdings," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 49(1), pages 95-115, March.

    More about this item

    Keywords

    Fraudulent organizational culture; Warsaw Stock Exchange; fraud detection; big data.;
    All these keywords.

    JEL classification:

    • K40 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - General

    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:ers:journl:v:xxiii:y:2020:i:special2:p:622-637. 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: Marios Agiomavritis (email available below). General contact details of provider: https://ersj.eu/ .

    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.