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On the Suitability of Process Mining for Enhancing Transparency of Blockchain Applications

Author

Listed:
  • Richard Hobeck

    (Technische Universitaet Berlin, Chair of Service-centric Networking)

  • Christopher Klinkmüller

    (BPMotion)

  • H. M. N. Dilum Bandara

    (CSIRO, Data61)

  • Ingo Weber

    (Technical University of Munich, School of CIT & Fraunhofer-Gesellschaft)

  • Wil van der Aalst

    (RWTH Aachen University)

Abstract

Blockchain technology is known for its transparency properties due to its publicly available, immutable data. Yet, as data availability does not inherently ensure transparency, further analytical methods may be required for human interpretation of data traces. Process mining has emerged as a popular toolbox for understanding processes and how they are executed in practice. The paper studies process mining as a method to enhance the transparency of blockchain data. To this end, two popular Ethereum applications were analyzed using process mining: the prediction and betting marketplace Augur and the network marketing platform Forsage. Observations from the process-mining analyses are used to discuss if process mining can serve as a method to establish transparency of a blockchain. For both applications, new insights are generated for usage scenarios such as application redesign, security analysis, user behavior analysis, and revealing blind spots in Augur’s and Forsage’s documentation. The paper concludes that there is evidence that process mining can serve as a method to enhance transparency in blockchains at the cost of technical setup and knowledge acquisition.

Suggested Citation

  • Richard Hobeck & Christopher Klinkmüller & H. M. N. Dilum Bandara & Ingo Weber & Wil van der Aalst, 2025. "On the Suitability of Process Mining for Enhancing Transparency of Blockchain Applications," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 67(6), pages 777-796, December.
    • Handle: RePEc:spr:binfse:v:67:y:2025:i:6:d:10.1007_s12599-024-00903-5
    DOI: 10.1007/s12599-024-00903-5
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    References listed on IDEAS

    as
    1. Jan Recker, 2021. "Scientific Research in Information Systems," Progress in IS, Springer, edition 2, number 978-3-030-85436-2, December.
    2. Julio Leite & Claudia Cappelli, 2010. "Software Transparency," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 2(3), pages 127-139, June.
    Full references (including those not matched with items on IDEAS)

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