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The power of big data affordances to reshape anti-fraud strategies

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  • Gabrielli, Gianluca
  • Magri, Carlotta
  • Medioli, Alice
  • Marchini, Pier Luigi

Abstract

This paper examines how the integration of big data in forensic accounting practices is reshaping fraud detection processes. To capture the effects of this integration we used the perspective of affordances enabled by big data, an approach derived from sociomateriality. The research adopts a qualitative approach based on seventeen semi-structured interviews with forensic accountants. This qualitative approach allows us to identify dispositional and relational affordances. Findings show that big data enables some significant affordances. As dispositional affordances, big data and big data analytics tools ensure a greater depth of the analysis. The power of visual analytics in fraud detection is highlighted in both dispositional and relational affordances.

Suggested Citation

  • Gabrielli, Gianluca & Magri, Carlotta & Medioli, Alice & Marchini, Pier Luigi, 2024. "The power of big data affordances to reshape anti-fraud strategies," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
    • Handle: RePEc:eee:tefoso:v:205:y:2024:i:c:s0040162524003032
    DOI: 10.1016/j.techfore.2024.123507
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    Cited by:

    1. Gopal Kumar Singh & Vineeta Kumari, 2024. "Research in forensic accounting and fraud detection: a systematic literature review," International Journal of Accounting, Business and Finance, Indian Accounting Association, Patna Branch, vol. 4(1), pages 53-65.
    2. Mojca Kunšek & Barbara Miklič & Metka Tekavčič, 2025. "Trust Through Data: Managing Risk In The Digital Age," Proceedings of the International Conference "Economic and Business Trends Shaping the Future" 006, Faculty of Economics-Skopje, Ss Cyril and Methodius University in Skopje.

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