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From Expert Discipline to Common Practice: A Vision and Research Agenda for Extending the Reach of Enterprise Modeling
Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. Institute of Computer Science, Faculty of Computer and Electrical Engineering, University of Rostock, Rostock, Germany.ORCID iD: 0000-0002-7431-8412
Information Systems, System Development and Database Application Group, Faculty of Information Systems and Applied Computer Sciences, University of Bamberg, Bamberg, Germany.
Faculty of Engineering, HAN University of Applied Sciences, Arnhem, The Netherlands.
Department of Computer Science, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology, Trondheim, Norway.
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2018 (English)In: Business & Information Systems Engineering, ISSN 1867-0202Article in journal (Refereed) Epub ahead of print
Abstract [en]

The benefits of enterprise modeling (EM) and its contribution to organizational tasks are largely undisputed in business and information systems engineering. EM as a discipline has been around for several decades but is typically performed by a limited number of people in organizations with an affinity to modeling. What is captured in models is only a fragment of what ought to be captured. Thus, this research note argues that EM is far from its maximum potential. Many people develop some kind of model in their local practice without thinking about it consciously. Exploiting the potential of this “grass roots modeling” could lead to groundbreaking innovations. The aim is to investigate integration of the established practices of modeling with local practices of creating and using model-like artifacts of relevance for the overall organization. The paper develops a vision for extending the reach of EM, identifies research areas contributing to the vision and proposes elements of a future research agenda.

Place, publisher, year, edition, pages
Springer, 2018.
Keyword [en]
Enterprise modeling; Grass roots modeling; Research agenda
National Category
Business Administration
Identifiers
URN: urn:nbn:se:hj:diva-38357DOI: 10.1007/s12599-017-0516-yISI: XYZOAI: oai:DiVA.org:hj-38357DiVA: diva2:1171065
Available from: 2018-01-05 Created: 2018-01-05 Last updated: 2018-01-13

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Sandkuhl, Kurt

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