Collaborative Modelling and Visualization of Business Ecosystems

Authors

• Anne Faber, Technical University of Munich Department of Informatics Garching bei Muenchen, GermanyFollow
• Adrian Hernandez-Mendez, Technical University of Munich Department of Informatics Garching bei Muenchen, GermanyFollow
• Sven-Volker Rehm, University of Strasbourg, EM Strasbourg Business School, HuManiS (EA 7308) Strasbourg, FranceFollow
• Florian Matthes, Technical University of Munich Department of Informatics Garching bei Muenchen, GermanyFollow

Author ORCID Identifier

Anne Faber https://orcid.org/0000-0001-5451-2333
Adrian Hernandez-Mendez
Sven-Volker Rehm
Florian Matthes

Document Type

Selected papers from the Australasian Conference on Information Systems (ACIS)

Abstract

Business ecosystems are increasingly gaining relevance in research and practice. Because ecosystems progressively change, enterprises are required to analyse their ecosystem, in order to identify and respond to such changes. For gaining a comprehensive picture of the ecosystem, various enterprise stakeholders need to be involved in the analysis process. We use an Action Design Research approach to implement a collaborative process for modelling and visualizing business ecosystems in two case studies. We look at the challenges of the collaborative process and study how a model-driven approach addresses these challenges. We validate and discuss the modelling process along six steps; definition of the business ecosystem focus, model instantiation, data collection, provision of tailored visualizations, model adaption, and using visualizations ‘to tell a story’. In a cross-case analysis, we draw conclusions with respect to process implementation and the role of visualizations.

Recommended Citation

Faber, Anne; Hernandez-Mendez, Adrian; Rehm, Sven-Volker; and Matthes, Florian (2020) "Collaborative Modelling and Visualization of Business Ecosystems," The Australasian Journal of Information Systems: Vol. 24: No. 1, Article 28.
DOI: 10.3127/ajis.v24i0.2229
Available at: https://aisel.aisnet.org/ajis/vol24/iss1/28