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A Framework of Business Process Monitoring and Prediction Techniques

In: Innovation Through Information Systems

Author

Listed:
  • Frederik Wolf

    (University of Münster – ERCIS)

  • Jens Brunk

    (University of Münster – ERCIS)

  • Jörg Becker

    (University of Münster – ERCIS)

Abstract

The digitization of businesses provides huge amounts of data that can be leveraged by modern Business Process Management methods. Predictive Business Process Monitoring (PBPM) represents techniques which deal with real-time analysis of currently running process instances and also with the prediction of their future behavior. While many different prediction techniques have been developed, most of the early techniques base their predictions solely on the control­fow characteristic of a business process. More recently, researchers attempt to incorporate additional process-related information, also known as the process context, into their predictive models. In 2018, Di Francescomarino et al. published a framework of existing prediction techniques. Since the young field has evolved greatly since then and context information continue to play a greater role in predictive techniques, this paper describes the process and outcome of updating and extending the framework to include process context dimensions by replicating the literature review of the initial authors.

Suggested Citation

  • Frederik Wolf & Jens Brunk & Jörg Becker, 2021. "A Framework of Business Process Monitoring and Prediction Techniques," Lecture Notes in Information Systems and Organization, in: Frederik Ahlemann & Reinhard Schütte & Stefan Stieglitz (ed.), Innovation Through Information Systems, pages 714-724, Springer.
    • Handle: RePEc:spr:lnichp:978-3-030-86797-3_47
    DOI: 10.1007/978-3-030-86797-3_47
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    Cited by:

    1. Patrick Zschech, 2023. "Beyond descriptive taxonomies in data analytics: a systematic evaluation approach for data-driven method pipelines," Information Systems and e-Business Management, Springer, vol. 21(1), pages 193-227, March.

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