Quotation Kis, Isabella, Bachhofner, Stefan, Di Ciccio, Claudio, Mendling, Jan. 2017. Towards a Data-Driven Framework for Measuring Process Performance. In 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, Hrsg. Iris Reinhartz-Berger, Jens Gulden, Selmin Nurcan, Wided Guédria, Palash Bera, 3-18. Essen, Germany: Springer.


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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.

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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Contribution to conference proceedings
Language English
Title Towards a Data-Driven Framework for Measuring Process Performance
Title of whole publication 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
Page from 3
Page to 18
Location Essen, Germany
Publisher Springer
Year 2017
ISBN 978-3-319-59466-8
URL http://dx.doi.org/10.1007/978-3-319-59466-8_1

Associations

People
Kis, Isabella (Former researcher)
Bachhofner, Stefan (Details)
Di Ciccio, Claudio (Details)
Mendling, Jan (Details)
Organization
Applied Information Technology with Focus on IT in Organization (Details)
Research areas (ÖSTAT Classification 'Statistik Austria')
1105 Computer software (Details)
1108 Informatics (Details)
1109 Information and data processing (Details)
5306 Business data processing (Details)
5367 Management information systems (Details)
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