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Towards a Framework for Context Awareness Based on Textual Process Data: Case Study Insights

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Enterprise Design, Operations, and Computing. EDOC 2022 Workshops (EDOC 2022)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 466))

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Abstract

Context awareness is critical for the successful execution of processes. In the abundance of business process management (BPM) research, frameworks exclusively devoted to extracting context from textual process data are scarce. With the deluge of textual data and its increasing value for organizations, it becomes essential to employ relevant text analytics techniques to increase the awareness of process workers, which is important for process execution. The present paper addresses this demand by developing a framework for context awareness based on process executions-related textual data using a well-established layered BPM context model. This framework combines and maps various text analytics techniques to the layers of the context model, aiming to increase the context awareness of process workers and facilitate informed decision-making. The framework is applied in an IT ticket processing case study. The findings show that contextual information obtained using our framework enriches the awareness of process workers regarding the process instance urgency, complexity, and upcoming tasks and assists in making decisions in terms of these aspects.

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Notes

  1. 1.

    The overview of the studies and literature search process can be found on the Github page.

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Author information

Authors and Affiliations

  1. Technical University of Berlin, Straße des 17. Juni 135, 10623, Berlin, Germany

    Aleksandra Revina

  2. Technische Hochschule Brandenburg, Magdeburger Str. 50, 14770, Brandenburg an der Havel, Germany

    Aleksandra Revina

  3. Gdansk University of Technology, G. Narutowicza 11/12, 80-233, Gdansk, Poland

    Nina Rizun

  4. Utrecht University, Princetonplein 5, 3584 CC, Utrecht, The Netherlands

    Ünal Aksu

Authors
  1. Aleksandra Revina
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  2. Nina Rizun
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  3. Ünal Aksu
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Corresponding author

Correspondence to Aleksandra Revina .

Editor information

Editors and Affiliations

  1. University of Twente, Enschede, The Netherlands

    Tiago Prince Sales

  2. TU Wien, Vienna, Austria

    Henderik A. Proper

  3. University of Twente, Enschede, The Netherlands

    Giancarlo Guizzardi

  4. Free University of Bozen-Bolzano, Bozen-Bolzano, Italy

    Marco Montali

  5. Free University of Bozen-Bolzano, Bolzano, Italy

    Fabrizio Maria Maggi

  6. University of Twente, Enschede, The Netherlands

    Claudenir M. Fonseca

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Revina, A., Rizun, N., Aksu, Ü. (2023). Towards a Framework for Context Awareness Based on Textual Process Data: Case Study Insights. In: Sales, T.P., Proper, H.A., Guizzardi, G., Montali, M., Maggi, F.M., Fonseca, C.M. (eds) Enterprise Design, Operations, and Computing. EDOC 2022 Workshops . EDOC 2022. Lecture Notes in Business Information Processing, vol 466. Springer, Cham. https://doi.org/10.1007/978-3-031-26886-1_2

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