From Expert Discipline to Common Practice: A Vision and Research Agenda for Extending the Reach of Enterprise Modeling

Authors

Kurt Sandkuhl, University of Rostock, GermanyFollow
Hans-Georg Fill, University of Bamberg, GermanyFollow
Stijn Hoppenbrouwers, HAN University of Applied Sciences, The NetherlandsFollow
John Krogstie, Norwegian University of Science and TechnologyFollow
Florian Matthes, Technical University of Munich, GermanyFollow
Andreas Opdahl, University of Bergen, NorwayFollow
Gerhard Schwabe, University of Zurich, SwitzerlandFollow
Ömer Uludag, Technical University of Munich, GermanyFollow
Robert Winter, University of St. GallenFollow

Document Type

Research Paper

Abstract

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.

Recommended Citation

Sandkuhl, Kurt; Fill, Hans-Georg; Hoppenbrouwers, Stijn; Krogstie, John; Matthes, Florian; Opdahl, Andreas; Schwabe, Gerhard; Uludag, Ömer; and Winter, Robert (2018) "From Expert Discipline to Common Practice: A Vision and Research Agenda for Extending the Reach of Enterprise Modeling," Business & Information Systems Engineering: Vol. 60: Iss. 1, 69-80.
Available at: https://aisel.aisnet.org/bise/vol60/iss1/6