IDEAS home Printed from https://ideas.repec.org/a/eee/joaced/v62y2023ics0748575122000616.html
   My bibliography  Save this article

Audit technologies used in practice and ways to implement these technologies into audit courses

Author

Listed:
  • Felski, Elizabeth

Abstract

Data analysis has revolutionized the auditing profession. The use of data analytics tools has allowed auditors to plan and complete more thorough, accurate, and efficient audits. Pressures from the accounting profession and AACSB have placed an urgency to include these analytics tools into the accounting curriculum. For many instructors, navigating this new realm of analytics tools can be overwhelming and difficult to pare down to the essentials of what emerging accountants need to know. While prior research has developed suggestions for how to implement audit analytics into accounting curricula (Qasim et al., 2020 & Dzuranin, 2018), institutions are ultimately left on their own to decide if and how to integrate audit analytics tools into their curricula. This paper aims to assist instructors looking to implement audit analytics tools into their courses by presenting survey results from audit professionals on the analytics tools they use at both the entry-level and management position as well as the skills and tools they expect and would like accounting graduates to possess. This information can be used by accounting instructors to tailor their data analytics coverage to include the tools and skills emerging graduates are most likely to use in their profession. The second phase of this paper serves as a reference tool as it provides a collection of the resources, cases, and assignments available for faculty members interested in adding a data analytics component to their current audit course. This repository is focused on tools identified in the survey as useful to accounting graduates.

Suggested Citation

  • Felski, Elizabeth, 2023. "Audit technologies used in practice and ways to implement these technologies into audit courses," Journal of Accounting Education, Elsevier, vol. 62(C).
    • Handle: RePEc:eee:joaced:v:62:y:2023:i:c:s0748575122000616
    DOI: 10.1016/j.jaccedu.2022.100827
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0748575122000616
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jaccedu.2022.100827?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. Fay, Rebecca & Negangard, Eric M., 2017. "Manual journal entry testing: Data analytics and the risk of fraud," Journal of Accounting Education, Elsevier, vol. 38(C), pages 37-49.
    2. Presley, Theresa J., 2019. "A risk based approach to large datasets: Analysis of time series data for a large merchandising firm," Journal of Accounting Education, Elsevier, vol. 49(C).
    3. Watty, Kim & McKay, Jade & Ngo, Leanne, 2016. "Innovators or inhibitors? Accounting faculty resistance to new educational technologies in higher education," Journal of Accounting Education, Elsevier, vol. 36(C), pages 1-15.
    4. Dzuranin, Ann C. & Jones, Janet R. & Olvera, Renee M., 2018. "Infusing data analytics into the accounting curriculum: A framework and insights from faculty," Journal of Accounting Education, Elsevier, vol. 43(C), pages 24-39.
    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. Booker, Danielle D. & Pelzer, Josette R.E. & Richardson, Jeremy R., 2023. "Integrating data analytics into the auditing curriculum: Insights and perceptions from early-career auditors," Journal of Accounting Education, Elsevier, vol. 64(C).

    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. Blix, Leslie H. & Edmonds, Mark A. & Sorensen, Kate B., 2021. "How well do audit textbooks currently integrate data analytics," Journal of Accounting Education, Elsevier, vol. 55(C).
    2. Andiola, Lindsay M. & Masters, Erin & Norman, Carolyn, 2020. "Integrating technology and data analytic skills into the accounting curriculum: Accounting department leaders’ experiences and insights," Journal of Accounting Education, Elsevier, vol. 50(C).
    3. Lawson, James G. & Street, Daniel A., 2021. "Detecting dirty data using SQL: Rigorous house insurance case," Journal of Accounting Education, Elsevier, vol. 55(C).
    4. Mohamed Saeudy & Ali Meftah Gerged & Khaldoon Albitar, 2022. "Accounting Perspectives on The Business Value of Big Data During and Beyond The COVID-19 Pandemic," Journal of Accounting and Management Information Systems, Faculty of Accounting and Management Information Systems, The Bucharest University of Economic Studies, vol. 21(2), pages 174-199, June.
    5. Francis Aboagye‐Otchere & Cletus Agyenim‐Boateng & Abdulai Enusah & Theodora Ekua Aryee, 2021. "A Review of Big Data Research in Accounting," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 28(4), pages 268-283, October.
    6. Carla Carvalho & Ana Carlos Almeida, 2022. "The Adequacy of Accounting Education in the Development of Transversal Skills Needed to Meet Market Demands," Sustainability, MDPI, vol. 14(10), pages 1-18, May.
    7. Andreia Inamorato dos Santos & Simonas Gausas & Raimonda Mackeviciute & Aiste Jotautyte & Zilvinas Martinaitis, 2019. "Innovating Professional Development in Higher Education: Case Studies," JRC Research Reports JRC115595, Joint Research Centre.
    8. Resat KARCIOGLU & Fatih Omur BINICI, 2023. "Developing a maturity model to identify digital skills and abilities of accounting professionals: evidence from Turkey," Access Journal, Access Press Publishing House, vol. 4(2), pages 221-247, March.
    9. Ewa Banasik & Christine Jubb, 2021. "Are Accounting Programs Future‐ready? Employability Skills," Australian Accounting Review, CPA Australia, vol. 31(3), pages 256-267, September.
    10. Fan, Hong & Song, Xiaofei, 2020. "The advantages of combining mobile technology and audience response systems," Journal of Accounting Education, Elsevier, vol. 50(C).
    11. Apostolou, Barbara & Dorminey, Jack W. & Hassell, John M. & Rebele, James E., 2017. "Accounting education literature review (2016)," Journal of Accounting Education, Elsevier, vol. 39(C), pages 1-31.
    12. Montserrat Díaz-Méndez & Mario R. Paredes & Michael Saren, 2019. "Improving Society by Improving Education through Service-Dominant Logic: Reframing the Role of Students in Higher Education," Sustainability, MDPI, vol. 11(19), pages 1-14, September.
    13. Alexander Gutfraind, 2023. "Risk-reducing design and operations toolkit: 90 strategies for managing risk and uncertainty in decision problems," Papers 2309.03133, arXiv.org.
    14. Ballou, Brian & Heitger, Dan L. & Stoel, Dale, 2018. "Data-driven decision-making and its impact on accounting undergraduate curriculum," Journal of Accounting Education, Elsevier, vol. 44(C), pages 14-24.
    15. Booker, Danielle D. & Pelzer, Josette R.E. & Richardson, Jeremy R., 2023. "Integrating data analytics into the auditing curriculum: Insights and perceptions from early-career auditors," Journal of Accounting Education, Elsevier, vol. 64(C).
    16. Berry, Reanna & Routon, Wesley, 2020. "Soft skill change perceptions of accounting majors: Current practitioner views versus their own reality," Journal of Accounting Education, Elsevier, vol. 53(C).
    17. Apostolou, Barbara & Dorminey, Jack W. & Hassell, John M. & Hickey, Anna, 2019. "Accounting education literature review (2018)," Journal of Accounting Education, Elsevier, vol. 47(C), pages 1-27.
    18. Janvrin, Diane J. & Weidenmier Watson, Marcia, 2017. "“Big Data”: A new twist to accounting," Journal of Accounting Education, Elsevier, vol. 38(C), pages 3-8.
    19. Hamood Mohammed Al-Hattami, 2021. "University Accounting Curriculum, IT, and Job Market Demands: Evidence From Yemen," SAGE Open, , vol. 11(2), pages 21582440211, April.
    20. Beatson, Nicola & Gabriel, Cle-Anne & Howell, Angela & Scott, Stephen & van der Meer, Jacques & Wood, Lincoln C., 2020. "Just opt in: How choosing to engage with technology impacts business students’ academic performance," Journal of Accounting Education, Elsevier, vol. 50(C).

    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:joaced:v:62:y:2023:i:c:s0748575122000616. 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/journal-of-accounting-education .

    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.