The SWORD is Mightier Than the Interview: A Framework for Semi-automatic WORkaround Detection

Wouter van der Waal; Iris Beerepoot; Inge van de Weerd; Hajo A. Reijers

doi:10.1007/978-3-031-16103-2_9

The SWORD is Mightier Than the Interview: A Framework for Semi-automatic WORkaround Detection

Wouter van der Waal^*, Iris Beerepoot, Inge van de Weerd, Hajo A. Reijers

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

Abstract

Workarounds can give valuable insights into the work processes that are carried out within organizations. To date, workarounds are usually identified using qualitative methods, such as interviews. We propose the semi-automated WORkaround Detection (SWORD) framework, which takes event logs as input. This extensible framework uses twenty-two patterns to semi-automatically detect workarounds. The value of the SWORD framework is that it can help to identify workarounds more efficiently and more thoroughly than is possible by the use of a more
traditional, qualitative approach.
Through the use of real hospital data, we demonstrate the applicability and effectiveness of the SWORD framework in practice. We focused on the use of three patterns, which all turned out to be applicable to the characteristics of the data set. The use of two of these patterns also led to the identification of actual workarounds. Future work is geared to the extension of the patterns within the framework and the enhancement of techniques that can help to identify these in real-world data.

Original language	English
Title of host publication	Business Process Management
Subtitle of host publication	20th International Conference, BPM 2022, Münster, Germany, September 11–16, 2022, Proceedings
Editors	Claudio Di Ciccio, Remco Dijkman, Adela del Río Ortega, Stefanie Rinderle-Ma
Publisher	Springer
Pages	91-106
Edition	1
ISBN (Electronic)	978-3-031-16103-2
ISBN (Print)	978-3-031-16102-5
DOIs	https://doi.org/10.1007/978-3-031-16103-2_9 https://doi.org/10.1007/978-3-031-16103-2_9
Publication status	Published - 7 Sept 2022
Event	20th International Conference on Business Process Management, BPM 2022 - Virtual, Online Duration: 11 Sept 2022 → 16 Sept 2022

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	13420
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	20th International Conference on Business Process Management, BPM 2022
City	Virtual, Online
Period	11/09/22 → 16/09/22

Bibliographical note

Funding Information:
This publication is part of the WorkAround Mining (WAM!) project (with project number 18490) which is (partly) financed by the Dutch Research Council (NWO).

Publisher Copyright:
© 2022, Springer Nature Switzerland AG.

Funding

This publication is part of the WorkAround Mining (WAM!) project (with project number 18490) which is (partly) financed by the Dutch Research Council (NWO).

Keywords

Workarounds
Automated Detection
Event data
Healthcare
Process Mining
Business Process Analysis

Access to Document

The SWORD is Mightier Than the Interview: A Framework for Semi-automatic WORkaround DetectionAccepted author manuscript, 552 KB
978-3-031-16103-2_9Final published version, 465 KBLicence: Taverne

Cite this

Waal, W. V. D., Beerepoot, I., Weerd, I. V. D., & Reijers, H. A. (2022). The SWORD is Mightier Than the Interview: A Framework for Semi-automatic WORkaround Detection. In C. Di Ciccio, R. Dijkman, A. del Río Ortega, & S. Rinderle-Ma (Eds.), Business Process Management: 20th International Conference, BPM 2022, Münster, Germany, September 11–16, 2022, Proceedings (1 ed., pp. 91-106). (Lecture Notes in Computer Science; Vol. 13420). Springer. https://doi.org/10.1007/978-3-031-16103-2_9, https://doi.org/10.1007/978-3-031-16103-2_9

Waal, Wouter van der ; Beerepoot, Iris ; Weerd, Inge van de et al. / The SWORD is Mightier Than the Interview: A Framework for Semi-automatic WORkaround Detection. Business Process Management: 20th International Conference, BPM 2022, Münster, Germany, September 11–16, 2022, Proceedings. editor / Claudio Di Ciccio ; Remco Dijkman ; Adela del Río Ortega ; Stefanie Rinderle-Ma. 1. ed. Springer, 2022. pp. 91-106 (Lecture Notes in Computer Science).

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abstract = "Workarounds can give valuable insights into the work processes that are carried out within organizations. To date, workarounds are usually identified using qualitative methods, such as interviews. We propose the semi-automated WORkaround Detection (SWORD) framework, which takes event logs as input. This extensible framework uses twenty-two patterns to semi-automatically detect workarounds. The value of the SWORD framework is that it can help to identify workarounds more efficiently and more thoroughly than is possible by the use of a moretraditional, qualitative approach.Through the use of real hospital data, we demonstrate the applicability and effectiveness of the SWORD framework in practice. We focused on the use of three patterns, which all turned out to be applicable to the characteristics of the data set. The use of two of these patterns also led to the identification of actual workarounds. Future work is geared to the extension of the patterns within the framework and the enhancement of techniques that can help to identify these in real-world data.",

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Waal, WVD , Beerepoot, I , Weerd, IVD & Reijers, HA 2022, The SWORD is Mightier Than the Interview: A Framework for Semi-automatic WORkaround Detection. in C Di Ciccio, R Dijkman, A del Río Ortega & S Rinderle-Ma (eds), Business Process Management: 20th International Conference, BPM 2022, Münster, Germany, September 11–16, 2022, Proceedings. 1 edn, Lecture Notes in Computer Science, vol. 13420, Springer, pp. 91-106, 20th International Conference on Business Process Management, BPM 2022, Virtual, Online, 11/09/22. https://doi.org/10.1007/978-3-031-16103-2_9, https://doi.org/10.1007/978-3-031-16103-2_9

The SWORD is Mightier Than the Interview: A Framework for Semi-automatic WORkaround Detection. / Waal, Wouter van der ; Beerepoot, Iris ; Weerd, Inge van de et al.
Business Process Management: 20th International Conference, BPM 2022, Münster, Germany, September 11–16, 2022, Proceedings. ed. / Claudio Di Ciccio; Remco Dijkman; Adela del Río Ortega; Stefanie Rinderle-Ma. 1. ed. Springer, 2022. p. 91-106 (Lecture Notes in Computer Science; Vol. 13420).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

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Waal WVD , Beerepoot I , Weerd IVD , Reijers HA. The SWORD is Mightier Than the Interview: A Framework for Semi-automatic WORkaround Detection. In Di Ciccio C, Dijkman R, del Río Ortega A, Rinderle-Ma S, editors, Business Process Management: 20th International Conference, BPM 2022, Münster, Germany, September 11–16, 2022, Proceedings. 1 ed. Springer. 2022. p. 91-106. (Lecture Notes in Computer Science). doi: 10.1007/978-3-031-16103-2_9, 10.1007/978-3-031-16103-2_9