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Method of Decision-Making Logic Discovery in the Business Process Textual Data

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Business Information Systems (BIS 2019)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 353))

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Abstract

Growing amount of complexity and enterprise data creates a need for novel business process (BP) analysis methods to assess the process optimization opportunities. This paper proposes a method of BP analysis while extracting the knowledge about Decision-Making Logic (DML) in a form of taxonomy. In this taxonomy, researchers consider the routine, semi-cognitive and cognitive DML levels as functions of BP conceptual aspects of Resources, Techniques, Capacities, and Choices. Preliminary testing and evaluation of developed method using data set of entry ticket texts from the IT Helpdesk domain showed promising results in the identification and classification of the BP Decision-Making Logic.

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Notes

  1. 1.

    IT Infrastructure Library Framework, www.axelos.com/best-practice-solutions/itil.

  2. 2.

    The relative distributions were calculated based on the presence of the DML taxonomy vocabulary key words in a ticket and not on the overall count of words in a ticket.

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Author information

Authors and Affiliations

  1. Gdansk University of Technology, 80-233, Gdansk, Poland

    Nina Rizun

  2. Technical University of Berlin, 10623, Berlin, Germany

    Aleksandra Revina

  3. Brandenburg University of Applied Sciences, 14770, Brandenburg an der Havel, Germany

    Vera Meister

Authors
  1. Nina Rizun
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  2. Aleksandra Revina
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  3. Vera Meister
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Corresponding author

Correspondence to Aleksandra Revina .

Editor information

Editors and Affiliations

  1. Poznań University of Economics and Business, Poznań, Poland

    Witold Abramowicz

  2. ETSI Informática, University of Seville, Seville, Spain

    Rafael Corchuelo

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Rizun, N., Revina, A., Meister, V. (2019). Method of Decision-Making Logic Discovery in the Business Process Textual Data. In: Abramowicz, W., Corchuelo, R. (eds) Business Information Systems. BIS 2019. Lecture Notes in Business Information Processing, vol 353. Springer, Cham. https://doi.org/10.1007/978-3-030-20485-3_6

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  • DOI: https://doi.org/10.1007/978-3-030-20485-3_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20484-6

  • Online ISBN: 978-3-030-20485-3

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