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Published in: Business & Information Systems Engineering 4/2017

23-05-2017 | Research Paper

Meta Modeling for Business Process Improvement

Authors: Dr. Florian Johannsen, Prof. Dr. Hans-Georg Fill

Published in: Business & Information Systems Engineering | Issue 4/2017

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Abstract

Conducting business process improvement (BPI) initiatives is a topic of high priority for today’s companies. However, performing BPI projects has become challenging. This is due to rapidly changing customer requirements and an increase of inter-organizational business processes, which need to be considered from an end-to-end perspective. In addition, traditional BPI approaches are more and more perceived as overly complex and too resource-consuming in practice. Against this background, the paper proposes a BPI roadmap, which is an approach for systematically performing BPI projects and serves practitioners’ needs for manageable BPI methods. Based on this BPI roadmap, a domain-specific conceptual modeling method (DSMM) has been developed. The DSMM supports the efficient documentation and communication of the results that emerge during the application of the roadmap. Thus, conceptual modeling acts as a means for purposefully codifying the outcomes of a BPI project. Furthermore, a corresponding software prototype has been implemented using a meta modeling platform to assess the technical feasibility of the approach. Finally, the usability of the prototype has been empirically evaluated.

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Footnotes
1
Details on each BPI technique can be found in Hagemeyer et al. (2006); Griesberger et al. (2011); Meran et al. (2013); George et al. (2005); Pande et al. (2000), or Kettinger et al. (1997) for instance.
 
2
 
3
Formalism for Describing ADOxx Meta Models and Models.
 
5
According to the HFRG, a minimum number of 10–12 participants is required to arrive at a valid analysis.
 
6
http://​sumi.​ucc.​ie/​en/​; Accessed 22 July 2016.
 
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Metadata
Title
Meta Modeling for Business Process Improvement
Authors
Dr. Florian Johannsen
Prof. Dr. Hans-Georg Fill
Publication date
23-05-2017
Publisher
Springer Fachmedien Wiesbaden
Published in
Business & Information Systems Engineering / Issue 4/2017
Print ISSN: 2363-7005
Electronic ISSN: 1867-0202
DOI
https://doi.org/10.1007/s12599-017-0477-1

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