Towards a Data-Driven Framework for Measuring Process Performance

Isabella Kis; Stefan Bachhofner; Claudio Di Ciccio; Jan Mendling

doi:10.1007/978-3-319-59466-8_1

Towards a Data-Driven Framework for Measuring Process Performance

Isabella Kis, Stefan Bachhofner, Claudio Di Ciccio, Jan Mendling

Process Management and Analytics

Vienna University of Economics and Business Administration

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

Abstract

Studies have shown that the focus of Business Process Management (BPM) mainly lies on process discovery and process implementation execution. In contrast, process analysis, i.e., the measurement of process performance, has been mostly neglected in the field of process science so far. However, in order to be viable in the long run, a process' performance has to be made evaluable. To enable this kind of analysis, the suggested approach in this idea paper builds upon the well-established notion of devil's quadrangle. The quadrangle depicts the process performance according to four dimensions (time, cost, quality and flexibility), thus allowing for a meaningful assessment of the process. In the course of this paper, a framework for the measurement of each dimension is proposed, based on the analysis of process execution data. A trailing example is provided that reflects the expressed concepts on a tangible realistic scenario.

Original language	English
Title of host publication	Enterprise, Business-Process and Information Systems Modeling
Subtitle of host publication	18th International Conference, BPMDS 2017, 22nd International Conference, EMMSAD 2017, Held at CAiSE 2017, Essen, Germany, June 12-13, 2017, Proceedings
Editors	Iris Reinhartz-Berger, Jens Gulden, Selmin Nurcan, Wided Guédria, Palash Bera
Publisher	Springer
Pages	3-18
Number of pages	16
Edition	1
ISBN (Electronic)	978-3-319-59466-8
ISBN (Print)	978-3-319-59465-1
DOIs	https://doi.org/10.1007/978-3-319-59466-8_1
Publication status	Published - 17 May 2017

Publication series

Name	Lecture Notes in Business Information Processing
Publisher	Springer
Volume	287

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10.1007/978-3-319-59466-8_1

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Kis, I., Bachhofner, S., Di Ciccio, C., & Mendling, J. (2017). Towards a Data-Driven Framework for Measuring Process Performance. In I. Reinhartz-Berger, J. Gulden, S. Nurcan, W. Guédria, & P. Bera (Eds.), Enterprise, Business-Process and Information Systems Modeling: 18th International Conference, BPMDS 2017, 22nd International Conference, EMMSAD 2017, Held at CAiSE 2017, Essen, Germany, June 12-13, 2017, Proceedings (1 ed., pp. 3-18). (Lecture Notes in Business Information Processing; Vol. 287). Springer. https://doi.org/10.1007/978-3-319-59466-8_1

Kis, Isabella ; Bachhofner, Stefan ; Di Ciccio, Claudio et al. / Towards a Data-Driven Framework for Measuring Process Performance. Enterprise, Business-Process and Information Systems Modeling: 18th International Conference, BPMDS 2017, 22nd International Conference, EMMSAD 2017, Held at CAiSE 2017, Essen, Germany, June 12-13, 2017, Proceedings. editor / Iris Reinhartz-Berger ; Jens Gulden ; Selmin Nurcan ; Wided Guédria ; Palash Bera. 1. ed. Springer, 2017. pp. 3-18 (Lecture Notes in Business Information Processing).

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title = "Towards a Data-Driven Framework for Measuring Process Performance",

abstract = "Studies have shown that the focus of Business Process Management (BPM) mainly lies on process discovery and process implementation execution. In contrast, process analysis, i.e., the measurement of process performance, has been mostly neglected in the field of process science so far. However, in order to be viable in the long run, a process' performance has to be made evaluable. To enable this kind of analysis, the suggested approach in this idea paper builds upon the well-established notion of devil's quadrangle. The quadrangle depicts the process performance according to four dimensions (time, cost, quality and flexibility), thus allowing for a meaningful assessment of the process. In the course of this paper, a framework for the measurement of each dimension is proposed, based on the analysis of process execution data. A trailing example is provided that reflects the expressed concepts on a tangible realistic scenario.",

author = "Isabella Kis and Stefan Bachhofner and \{Di Ciccio\}, Claudio and Jan Mendling",

year = "2017",

month = may,

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doi = "10.1007/978-3-319-59466-8\_1",

language = "English",

isbn = "978-3-319-59465-1",

series = "Lecture Notes in Business Information Processing",

publisher = "Springer",

pages = "3--18",

editor = "Iris Reinhartz-Berger and Jens Gulden and Selmin Nurcan and Wided Gu{\'e}dria and Palash Bera",

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Kis, I, Bachhofner, S, Di Ciccio, C & Mendling, J 2017, Towards a Data-Driven Framework for Measuring Process Performance. in I Reinhartz-Berger, J Gulden, S Nurcan, W Guédria & P Bera (eds), Enterprise, Business-Process and Information Systems Modeling: 18th International Conference, BPMDS 2017, 22nd International Conference, EMMSAD 2017, Held at CAiSE 2017, Essen, Germany, June 12-13, 2017, Proceedings. 1 edn, Lecture Notes in Business Information Processing, vol. 287, Springer, pp. 3-18. https://doi.org/10.1007/978-3-319-59466-8_1

Towards a Data-Driven Framework for Measuring Process Performance. / Kis, Isabella; Bachhofner, Stefan; Di Ciccio, Claudio et al.
Enterprise, Business-Process and Information Systems Modeling: 18th International Conference, BPMDS 2017, 22nd International Conference, EMMSAD 2017, Held at CAiSE 2017, Essen, Germany, June 12-13, 2017, Proceedings. ed. / Iris Reinhartz-Berger; Jens Gulden; Selmin Nurcan; Wided Guédria; Palash Bera. 1. ed. Springer, 2017. p. 3-18 (Lecture Notes in Business Information Processing; Vol. 287).

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

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T1 - Towards a Data-Driven Framework for Measuring Process Performance

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AU - Di Ciccio, Claudio

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PY - 2017/5/17

Y1 - 2017/5/17

N2 - Studies have shown that the focus of Business Process Management (BPM) mainly lies on process discovery and process implementation execution. In contrast, process analysis, i.e., the measurement of process performance, has been mostly neglected in the field of process science so far. However, in order to be viable in the long run, a process' performance has to be made evaluable. To enable this kind of analysis, the suggested approach in this idea paper builds upon the well-established notion of devil's quadrangle. The quadrangle depicts the process performance according to four dimensions (time, cost, quality and flexibility), thus allowing for a meaningful assessment of the process. In the course of this paper, a framework for the measurement of each dimension is proposed, based on the analysis of process execution data. A trailing example is provided that reflects the expressed concepts on a tangible realistic scenario.

AB - Studies have shown that the focus of Business Process Management (BPM) mainly lies on process discovery and process implementation execution. In contrast, process analysis, i.e., the measurement of process performance, has been mostly neglected in the field of process science so far. However, in order to be viable in the long run, a process' performance has to be made evaluable. To enable this kind of analysis, the suggested approach in this idea paper builds upon the well-established notion of devil's quadrangle. The quadrangle depicts the process performance according to four dimensions (time, cost, quality and flexibility), thus allowing for a meaningful assessment of the process. In the course of this paper, a framework for the measurement of each dimension is proposed, based on the analysis of process execution data. A trailing example is provided that reflects the expressed concepts on a tangible realistic scenario.

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Kis I, Bachhofner S, Di Ciccio C, Mendling J. Towards a Data-Driven Framework for Measuring Process Performance. In Reinhartz-Berger I, Gulden J, Nurcan S, Guédria W, Bera P, editors, Enterprise, Business-Process and Information Systems Modeling: 18th International Conference, BPMDS 2017, 22nd International Conference, EMMSAD 2017, Held at CAiSE 2017, Essen, Germany, June 12-13, 2017, Proceedings. 1 ed. Springer. 2017. p. 3-18. (Lecture Notes in Business Information Processing). doi: 10.1007/978-3-319-59466-8_1

Towards a Data-Driven Framework for Measuring Process Performance

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