IDEAS home Printed from https://ideas.repec.org/a/eee/ijoais/v16y2015icp1-22.html
   My bibliography  Save this article

Data visualization for fraud detection: Practice implications and a call for future research

Author

Listed:
  • Dilla, William N.
  • Raschke, Robyn L.

Abstract

Analysis of data to detect transaction anomalies is an important fraud detection procedure. Interactive data visualization tools that allow the investigator to change the representation of data from text to graphics and filter out subsets of transactions for further investigation have substantial potential for making the detection of fraudulent transactions more efficient and effective. However, little research to date has directly examined the efficacy of data visualization techniques for fraud detection. In this paper, we develop a theoretical framework to predict when and how investigators might use data visualization techniques to detect fraudulent transactions. We use this framework to develop testable propositions and research questions related to this topic. The paper concludes by discussing how academic research might proceed in investigating the efficacy of interactive data visualization tools for fraud detection.

Suggested Citation

  • Dilla, William N. & Raschke, Robyn L., 2015. "Data visualization for fraud detection: Practice implications and a call for future research," International Journal of Accounting Information Systems, Elsevier, vol. 16(C), pages 1-22.
    • Handle: RePEc:eee:ijoais:v:16:y:2015:i:c:p:1-22
    DOI: 10.1016/j.accinf.2015.01.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1467089515000020
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.accinf.2015.01.001?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. Biggs, Sf & Mock, Tj, 1983. "An Investigation Of Auditor Decision-Processes In The Evaluation Of Internal Controls And Audit Scope Decisions," Journal of Accounting Research, Wiley Blackwell, vol. 21(1), pages 234-255.
    2. Hyunmo Kang & Catherine Plaisant & Tamer Elsayed & Douglas W. Oard, 2010. "Making sense of archived e‐mail: Exploring the Enron collection with NetLens," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(4), pages 723-744, April.
    3. Chenhall, Robert & Morris, Deigan, 1991. "The effect of cognitive style and sponsorship bias on the treatment of opportunity costs in resource allocation decisions," Accounting, Organizations and Society, Elsevier, vol. 16(1), pages 27-46.
    4. Hyunmo Kang & Catherine Plaisant & Tamer Elsayed & Douglas W. Oard, 2010. "Making sense of archived e-mail: Exploring the Enron collection with NetLens," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(4), pages 723-744, April.
    5. George P. Huber, 1983. "Cognitive Style as a Basis for MIS and DSS Designs: Much ADO About Nothing?," Management Science, INFORMS, vol. 29(5), pages 567-579, May.
    6. Johnson, Paul E. & Grazioli, Stefano & Jamal, Karim, 1993. "Fraud detection: Intentionality and deception in cognition," Accounting, Organizations and Society, Elsevier, vol. 18(5), pages 467-488, July.
    7. Gray, Glen L. & Debreceny, Roger S., 2014. "A taxonomy to guide research on the application of data mining to fraud detection in financial statement audits," International Journal of Accounting Information Systems, Elsevier, vol. 15(4), pages 357-380.
    8. Cardinaels, Eddy, 2008. "The interplay between cost accounting knowledge and presentation formats in cost-based decision-making," Accounting, Organizations and Society, Elsevier, vol. 33(6), pages 582-602, August.
    9. Bonner, Sarah E., 1994. "A model of the effects of audit task complexity," Accounting, Organizations and Society, Elsevier, vol. 19(3), pages 213-234, April.
    10. Yigitbasioglu, Ogan M. & Velcu, Oana, 2012. "A review of dashboards in performance management: Implications for design and research," International Journal of Accounting Information Systems, Elsevier, vol. 13(1), pages 41-59.
    11. Iris Vessey & Dennis Galletta, 1991. "Cognitive Fit: An Empirical Study of Information Acquisition," Information Systems Research, INFORMS, vol. 2(1), pages 63-84, March.
    12. Wood, Robert E., 1986. "Task complexity: Definition of the construct," Organizational Behavior and Human Decision Processes, Elsevier, vol. 37(1), pages 60-82, February.
    13. Alan R. Dennis & Traci A. Carte, 1998. "Using Geographical Information Systems for Decision Making: Extending Cognitive Fit Theory to Map-Based Presentations," Information Systems Research, INFORMS, vol. 9(2), pages 194-203, June.
    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. Monica Ramos Montesdeoca & Agustín J. Sánchez Medina & Felix Blázquez Santana, 2019. "Research Topics in Accounting Fraud in the 21st Century: A State of the Art," Sustainability, MDPI, vol. 11(6), pages 1-31, March.
    2. Mark E. Lokanan & Prerna Sharma, 2023. "Two Decades of Accounting Fraud Research: The Missing Meso-Level Analysis," SAGE Open, , vol. 13(3), pages 21582440231, September.
    3. van Capelleveen, Guido & Poel, Mannes & Mueller, Roland M. & Thornton, Dallas & van Hillegersberg, Jos, 2016. "Outlier detection in healthcare fraud: A case study in the Medicaid dental domain," International Journal of Accounting Information Systems, Elsevier, vol. 21(C), pages 18-31.
    4. Klein, Thomas Michael & Drobnik, Thomas & Grêt-Regamey, Adrienne, 2016. "Shedding light on the usability of ecosystem services–based decision support systems: An eye-tracking study linked to the cognitive probing approach," Ecosystem Services, Elsevier, vol. 19(C), pages 65-86.
    5. Sushrut Ghimire, 2023. "TimeTrail: Unveiling Financial Fraud Patterns through Temporal Correlation Analysis," Papers 2308.14215, arXiv.org.
    6. Man Li Rita Yi & Yu Li Herru Ching & Mak Cho Kei & Chan Po Kei, 2016. "Rationales for the Implementation of Competition Law in EU, the US and Asia: Content Analysis and Data Visualization Approach," Asian Journal of Law and Economics, De Gruyter, vol. 7(1), pages 63-100, April.
    7. Helmi Hentati & Neila Boulila Taktak, 2023. "Unlocking Technological Capabilities to Boost the Performance of Accounting Firms," Journal of Accounting and Management Information Systems, Faculty of Accounting and Management Information Systems, The Bucharest University of Economic Studies, vol. 22(4), pages 631-656, December.
    8. Lisa Perkhofer & Conny Walchshofer & Peter Hofer, 2020. "Does design matter when visualizing Big Data? An empirical study to investigate the effect of visualization type and interaction use," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 31(1), pages 55-95, April.
    9. Olivera Marjanovic & Greg Patmore & Nikola Balnave, 2023. "Visual Analytics: Transferring, Translating and Transforming Knowledge from Analytics Experts to Non-technical Domain Experts in Multidisciplinary Teams," Information Systems Frontiers, Springer, vol. 25(4), pages 1571-1588, August.

    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. Yigitbasioglu, Ogan M. & Velcu, Oana, 2012. "A review of dashboards in performance management: Implications for design and research," International Journal of Accounting Information Systems, Elsevier, vol. 13(1), pages 41-59.
    2. Rikhardsson, Pall & Yigitbasioglu, Ogan, 2018. "Business intelligence & analytics in management accounting research: Status and future focus," International Journal of Accounting Information Systems, Elsevier, vol. 29(C), pages 37-58.
    3. Dunn, Cheryl L. & Gerard, Gregory J. & Grabski, Severin V., 2017. "The combined effects of user schemas and degree of cognitive fit on data retrieval performance," International Journal of Accounting Information Systems, Elsevier, vol. 26(C), pages 46-67.
    4. Mauldin, Elaine G. & Ruchala, Linda V., 1999. "Towards a meta-theory of accounting information systems," Accounting, Organizations and Society, Elsevier, vol. 24(4), pages 317-331, May.
    5. Marimo, Pricilla & Kaplan, Todd R & Mylne, Ken & Sharpe, Martin, 2012. "Communication of uncertainty in weather forecasts," MPRA Paper 38287, University Library of Munich, Germany.
    6. Patrick Ifergan, 2011. "Interprétativisme et complexité des normes d'audit françaises," Post-Print hal-00650464, HAL.
    7. Gediminas Adomavicius & Shawn P. Curley & Alok Gupta & Pallab Sanyal, 2020. "How Decision Complexity Affects Outcomes in Combinatorial Auctions," Production and Operations Management, Production and Operations Management Society, vol. 29(11), pages 2579-2600, November.
    8. Bonner, Sarah E. & Sprinkle, Geoffrey B., 2002. "The effects of monetary incentives on effort and task performance: theories, evidence, and a framework for research," Accounting, Organizations and Society, Elsevier, vol. 27(4-5), pages 303-345.
    9. Lisa Perkhofer & Conny Walchshofer & Peter Hofer, 2020. "Does design matter when visualizing Big Data? An empirical study to investigate the effect of visualization type and interaction use," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 31(1), pages 55-95, April.
    10. Tim-Benjamin Lembcke & Mathias Willnat & Henrik Lechte & Maike Greve & Julia Heinsohn & Alfred Benedikt Brendel, 2021. "Mobility Need-Adaptive Housing Platforms: The Benefit of a Commute Time Search Feature," Sustainability, MDPI, vol. 13(6), pages 1-14, March.
    11. Fábio Albuquerque & Paula Gomes Dos Santos, 2023. "Recent Trends in Accounting and Information System Research: A Literature Review Using Textual Analysis Tools," FinTech, MDPI, vol. 2(2), pages 1-27, April.
    12. Bin Zhu & Stephanie A. Watts, 2010. "Visualization of Network Concepts: The Impact of Working Memory Capacity Differences," Information Systems Research, INFORMS, vol. 21(2), pages 327-344, June.
    13. Christine Ohlert & Barbara Weißenberger, 2015. "Beating the base-rate fallacy: an experimental approach on the effectiveness of different information presentation formats," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 26(1), pages 51-80, April.
    14. Patrick W. Leung & Ken T. Trotman, 2008. "Effect of different types of feedback on the level of auditors’ configural information processing," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 48(2), pages 301-318, June.
    15. Yu Zhang & Bingjia Shao, 2019. "The Effectiveness of Customer Participation and Affective Misforecasting in Online Post-Recovery Satisfaction," Sustainability, MDPI, vol. 11(24), pages 1-22, December.
    16. Amani, Farzaneh A. & Fadlalla, Adam M., 2017. "Data mining applications in accounting: A review of the literature and organizing framework," International Journal of Accounting Information Systems, Elsevier, vol. 24(C), pages 32-58.
    17. Venkataraghavan Krishnaswamy & R. P. Sundarraj, 2017. "Organizational implications of a comprehensive approach for cloud-storage sourcing," Information Systems Frontiers, Springer, vol. 19(1), pages 57-73, February.
    18. Robert M. Gillenkirch & Achim Hendriks & Susanne A. Welker, 2014. "Effects of Executive Compensation Complexity on Investor Behaviour in an Experimental Stock Market," European Accounting Review, Taylor & Francis Journals, vol. 23(4), pages 625-645, December.
    19. Simnett, Roger, 1996. "The effect of information selection, information processing and task complexity on predictive accuracy of auditors," Accounting, Organizations and Society, Elsevier, vol. 21(7-8), pages 699-719.
    20. Alissa, Walid & Capkun, Vedran & Jeanjean, Thomas & Suca, Nadja, 2014. "An empirical investigation of the impact of audit and auditor characteristics on auditor performance," Accounting, Organizations and Society, Elsevier, vol. 39(7), pages 495-510.

    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:16:y:2015:i:c:p:1-22. 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.