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Participative or conventional enterprise modelling? Multiple-case analysis on decision criteria
Jönköping University, School of Engineering, JTH, Department of Computer Science and Informatics. University of Rostock, Germany.ORCID iD: 0000-0002-7431-8412
Jönköping University, School of Engineering, JTH, Department of Computer Science and Informatics.ORCID iD: 0000-0002-5881-0669
2020 (English)In: Proceedings of the 28th European Conference on Information Systems (ECIS), An Online AIS Conference, June 15-17, 2020, 2020Conference paper, Published paper (Refereed)
Sustainable development
0. Sustainable Development
Abstract [en]

Many advantages are attributed to participatory enterprise modelling as compared to conventional modelling and elicitation approaches. Among them are an improved quality of the models, better acceptance of the modelling results by the stakeholders and co-creation of models by different stakeholders. Although these advantages were observed in a number of modelling projects, there is not much empirical work comparing conventional and participatory modelling in real-world cases. Much work on participatory modelling is more exploratory and argumentative than explanatory and conclusive. From a pragmatic perspective, one effect of this situation is missing decision criteria when to do participatory and when conventional modelling. This paper aims at contributing to this research area by investigating what factors should be taken into account when deciding for or against participatory enterprise modelling. The approach taken is to analyze successful and non-successful cases from both participatory and conventional modelling in order to identify such decision factors. The main contributions of this paper are (1) an approach for analyzing enterprise modelling cases consisting of criteria derived from literature on enterprise modelling, (2) comparison of conventional and participatory modelling cases according to the analysis criteria and (3) a detailed discussion of criteria relevant for the decision for/against participatory or conventional modelling

Place, publisher, year, edition, pages
2020.
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:hj:diva-51540OAI: oai:DiVA.org:hj-51540DiVA, id: diva2:1519606
Conference
28th European Conference on Information Systems (ECIS), An Online AIS Conference, June 15-17, 2020
Available from: 2021-01-19 Created: 2021-01-19 Last updated: 2023-08-23Bibliographically approved

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Sandkuhl, KurtSeigerroth, Ulf

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CiteExportLink to record
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