IDEAS home Printed from https://ideas.repec.org/a/gam/jjrfmx/v12y2019i4p161-d276997.html
   My bibliography  Save this article

ISA 701 and Materiality Disclosure as Methods to Minimize the Audit Expectation Gap

Author

Listed:
  • Tomasz Iwanowicz

    (Department of Accounting, Akademia Leona Koźmińskiego, Jagiellońska 57/59, 03-301 Warsaw, Poland)

  • Bartłomiej Iwanowicz

    (Department of Accounting, Akademia Leona Koźmińskiego, Jagiellońska 57/59, 03-301 Warsaw, Poland)

Abstract

Purpose: The main purpose of this paper is to determine how particular audit firms deal with ISA 701 requirements and the society expectations towards reporting the materiality levels. Additionally, the aim of this paper is to range the assertions in terms of the frequency of their occurrence. Design/methodology/approach: The tested sample consisted of 317 companies listed on Warsaw (158 companies) or London (159 companies) stock exchange. The analysis was divided into companies from the following ten market indexes (WIGs): construction, IT, real estate, food, media, oil and gas, mining, energy, automotive and chemicals. The research was executed based on the analysis of annual consolidated financial statements (annual reports) and independent auditor reports that were published by in-scope entities for the latest twelve-months period available as at the date of the research (mostly periods ended on 31 December 2017 and 31 March 2018). All values were denominated to euro (EUR) with use of average exchange rates published by the National Bank of Poland. All performed analyses and developed charts were supported by Microsoft Power BI data analysis tool. Findings: The general conclusion, which may be drawn from this research, is that implementation of ISA 701 and materiality disclosure limited the audit expectation gap. Detailed observations are described throughout the paper and summarized in the conclusions section. Originality/value: This study extends the prior research by providing various dimensions of the analysed matters. It contributes to understanding of the audit expectation gap and investigates on methods of minimizing it.

Suggested Citation

  • Tomasz Iwanowicz & Bartłomiej Iwanowicz, 2019. "ISA 701 and Materiality Disclosure as Methods to Minimize the Audit Expectation Gap," JRFM, MDPI, vol. 12(4), pages 1-20, October.
    • Handle: RePEc:gam:jjrfmx:v:12:y:2019:i:4:p:161-:d:276997
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1911-8074/12/4/161/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1911-8074/12/4/161/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Elzbieta Izabela Szczepankiewicz, 2012. "The Role And Tasks Of The Internal Audit And Audit Committee As Bodies Supporting Effective Corporate Governance In Insurance Sector Institutions In Poland," Oeconomia Copernicana, Institute of Economic Research, vol. 3(4), pages 23-39, December.
    2. Imen Jedidi & Chrystelle Richard, 2009. "The Social Construction of the Audit Expectation Gap: The Market of Excuses," Post-Print halshs-00460146, HAL.
    3. Ojo, Marianne, 2006. "Eliminating the Audit Expectations Gap : Myth or Reality?," MPRA Paper 232, University Library of Munich, Germany, revised Sep 2006.
    4. Aneta Ptak-Chmielewska, 2019. "Predicting Micro-Enterprise Failures Using Data Mining Techniques," JRFM, MDPI, vol. 12(1), pages 1-17, February.
    5. repec:dau:papers:123456789/3906 is not listed on IDEAS
    6. Peter Schelluch & Grant Gay, 2006. "Assurance provided by auditors’ reports on prospective financial information: implications for the expectation gap," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 46(4), pages 653-676, December.
    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. Mahmoud Elmarzouky & Khaled Hussainey & Tarek Abdelfattah, 2022. "Do Key Audit Matters Signal Corporate Bankruptcy?," Journal of Accounting and Management Information Systems, Faculty of Accounting and Management Information Systems, The Bucharest University of Economic Studies, vol. 21(3), pages 315-334, September.
    2. Lioara-Veronica Pasc & Camelia-Daniela Hategan, 2023. "Disclosure of Key Audit Matters: European Listed Companies’ Evidence on Related Parties Transactions," IJFS, MDPI, vol. 11(3), pages 1-12, June.

    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. David Carassus & Khaled Albouaini & Marie Caussimont, 2013. "Une analyse de l'Audit Expectation Gap dans le contexte français," Post-Print hal-02432110, HAL.
    2. Masoud, Najeb, 2017. "An empirical study of audit expectation-performance gap: The case of Libya," Research in International Business and Finance, Elsevier, vol. 41(C), pages 1-15.
    3. Hashem Valipour & Javad Moradi & Hajar Moazaminezhad, 2012. "Auditors’ Perceptions of Reasonable Assurance the Effectiveness of the Audit Risk Model. Case from Iran," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 2(3), pages 17-34, July.
    4. Beata Gavurova & Sylvia Jencova & Radovan Bacik & Marta Miskufova & Stanislav Letkovsky, 2022. "Artificial intelligence in predicting the bankruptcy of non-financial corporations," Oeconomia Copernicana, Institute of Economic Research, vol. 13(4), pages 1215-1251, December.
    5. Paul Olojede & Olayinka Erin & Osariemen Asiriuwa & Momoh Usman, 2020. "Audit expectation gap: an empirical analysis," Future Business Journal, Springer, vol. 6(1), pages 1-12, December.
    6. Pranil Prasad & Parmod Chand, 2017. "The Changing Face of the Auditor's Report: Implications for Suppliers and Users of Financial Statements," Australian Accounting Review, CPA Australia, vol. 27(4), pages 348-367, December.
    7. Xin Chang & André F. Gygax & Elaine Oon & Hong Feng Zhang, 2008. "Audit quality, auditor compensation and initial public offering underpricing," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 48(3), pages 391-416, September.
    8. Quick, Reiner & Gauch, Kevin, 2021. "Is assurance on risk management systems relevant for bankers’ decisions?," Advances in accounting, Elsevier, vol. 55(C).
    9. Tomasz Korol, 2019. "Dynamic Bankruptcy Prediction Models for European Enterprises," JRFM, MDPI, vol. 12(4), pages 1-15, December.
    10. Klaus Ruhnke & Catharina Schmiele & Jochen Schwind, 2010. "Die Erwartungslücke als permanentes Phänomen der Abschlussprüfung — Definitionsansatz, empirische Untersuchung und Schlussfolgerungen," Schmalenbach Journal of Business Research, Springer, vol. 62(4), pages 394-421, June.
    11. DiGabriele, Jim & Ojo, Marianne, 2017. "The efficiency wage hypothesis and the role of corporate governance in firm performance," MPRA Paper 80710, University Library of Munich, Germany.
    12. Taslima Akther & Fengju Xu, 2020. "Existence of the Audit Expectation Gap and Its Impact on Stakeholders’ Confidence: The Moderating Role of the Financial Reporting Council," IJFS, MDPI, vol. 8(1), pages 1-25, January.
    13. Christophe Schalck & Meryem Yankol-Schalck, 2021. "Predicting French SME failures: new evidence from machine learning techniques," Applied Economics, Taylor & Francis Journals, vol. 53(51), pages 5948-5963, November.
    14. Shigeyuki Hamori, 2020. "Recent Advancements in Section “Financial Technology and Innovation”," JRFM, MDPI, vol. 13(12), pages 1-2, December.
    15. Heliodoro, Paula Alexandra & Carreira, Francisco Alegria & Lopes, Manuel Mouta, 2016. "The change of auditor: The Portuguese case," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 19(2), pages 181-186.
    16. Waymond Rodgers & Andrés Guiral & José A. Gonzalo, 2019. "Trusting/Distrusting Auditors’ Opinions," Sustainability, MDPI, vol. 11(6), pages 1-16, March.
    17. Shigeyuki Hamori, 2020. "Empirical Finance," JRFM, MDPI, vol. 13(1), pages 1-3, January.
    18. Taslima Akther & Xu Fengju & Md Ziaul Haque, 2019. "An Investigation ofAudit Expectation Gap in Bangladesh," Journal of Business, LAR Center Press, vol. 4(2), pages 1-11, February.
    19. Xinlin Wang & Zs'ofia Kraussl & Mats Brorsson, 2024. "Datasets for Advanced Bankruptcy Prediction: A survey and Taxonomy," Papers 2411.01928, arXiv.org.
    20. Lionel Escaffre & Aymen Abbadi, 2016. "Le Rapport D'Audit Comme Un Signal Potentiel À La Disposition Des Pme Françaises : Proposition D'Un Design De Recherche," Post-Print hal-01900824, HAL.

    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:gam:jjrfmx:v:12:y:2019:i:4:p:161-:d:276997. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.