Business Ecosystem Modeling and Visualization
Motivation
Undoubtedly, companies increasingly recognize the relevance of their complex business environment in which they develop, produce and distribute their services and products. This environment is often referred to as business ecosystem. Addressing the associated challenges and opportunities is a reality for most companies (Peltoniemi and Vuori 2004). The growing relevance of business ecosystems substantiates through the perceived shift of the competitive environment from single companies and their supply chains towards ecosystems competing against each other (Bosch 2016).
Definition of Business Ecosystem
Thereby, a business ecosystem extends the classic supply chain, consisting of suppliers and customer, by also including other entities within the business environment of the enterprise. We define business ecosystems as the holistic environment of a company covering current and potential future business partners, customers, suppliers, competitors, regulatory institutions, and innovative start-ups. It exhibits a high dynamic as continuously entities enter and leave the ecosystem. Peltoniemi and Vuori (2004) provide a comprehensive definition of business ecosystems. Analogously to the metaphor of a biological ecosystem, which served as a basis for the initial definition of business ecosystems (Moore 1997), the economic success of an enterprise can therefore depend on the health and ability to evolve their business ecosystem. The role of the enterprise within its ecosystem can range from a keystone to a niche player, with varying level of influence on the overall health of the ecosystem (Iansiti and Levien 2004).
Due to the influence on the economic success of the enterprise and the dynamic characteristics, enterprises increasingly realize the need to analyse their business ecosystem continuously, in order to identify and address changes within their ecosystem (Basole et al. 2016), adapt own business activities accordingly and to “learn what makes the environment tick” (Porter 1979).
Visualizing Business Ecosystems
Visualizations of business ecosystems have proven to support decision makers in their ecosystem related tasks (Basole et al. 2016; Huhtamaki and Rubens 2016, Evans and Basole 2016). Visualizing data can help to derive value from ecosystem data, e.g., in order to spot anomalies, identify keystone and niche players of the ecosystem, or recognize change patterns and trends (Vartak et al. 2016).
Our Contribution
At our chair, we are developing a web-based application that will help companies to model and visualize their business ecosystem in a collaborative manner. The web-based application provides multiple interactive visualizations. A knowledge management system provides the modeling environment.
Visualization provided in the web-based application:
Connection between modeling environment and interactive visualizations:
We conducted an online survey in 2017 to determine the state-of-the-practice how enterprises analyze their business ecosystem today.
The project is part of the Software Campus (BEEx+) with Holtzbrinck as Industry Partner.
If you are interested in a collaboration in this research project, please contact Anne Faber (anne.faber(at)tum.de).
Publications
| 2018 |
| Faber, Anne; Rehm, Sven-Volker; Hernandez-Mendez, Adrian; Matthes, Florian Modeling and Visualizing Smart City Mobility Business Ecosystems: Insights from a Case Study Information 2018, 9(11), 270; doi.org/10.3390/info9110270 |
| Faber, Anne; Hernandez-Mendez, Adrian; Sven-Volker Rehm; Matthes, Florian Visualizing Business Ecosystems: Applying a Collaborative Modelling Process in Two Case Studies 29th Australasian Conference on Information Systems (ACIS), Sydney, Australia, 2018 |
| Braun, Daniel; Faber, Anne; Hernandez Mendez, Adrian; Matthes, Florian Automatic Relation Extraction for Building Smart City Ecosystems using Dependency Parsing 2nd Workshop on Natural Language for Artificial Intelligence |
| Bondel, Gloria; Faber, Anne; Matthes, Florian Reporting from the Implementation of a Business Capability Map as Business-IT Alignment Tool 21th Conference on Enterprise Distributed Object Computing (EDOC), Stockholm, Sweden 2018 |
| Faber, Anne; Riemhofer, Maximilian; Hernandez-Mendez, Adrian; Matthes, Florian Visualizing an Emerging Mobility Business Ecosystem 5th Internation IEEE Congress on Information Science and Technology (CiSt 2018), Marrakech, Morocco, 2018 [tbp] |
| Hernandez-Mendez, Adrian; Faber, Anne; Bondel, Gloria; Matthes, Florian Towards an Ontology-Based Information System for Smart City Ecosystems Proceedings of the 24th Americas Conference on Information Systems, New Orleans, 2018 |
| Faber, Anne; Hernandez-Mendez, Adrian; Rehm, Sven-Volker; Matthes, Florian An Agile Framework for Modeling Smart City Business Ecosystems Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 2: ICEIS, Funchal, Madeira, Portugal, 2018 |
| Huth, Dominik; Faber, Anne; Matthes, Florian Towards an Understanding of Stakeholders and Dependencies in the EU GDPR Multikonferenz Wirtschaftsinformatik (MKWI) 2018, Band 1 |
| Faber, Anne; Huth, Dominik; Matthes, Florian State-of-the-practice in analyzing enterprises' business ecosystems Multikonferenz Wirtschaftsinformatik (MKWI) 2018, Band 2 |
| Braun, Daniel; Hernandez Mendez, Adrian; Faber, Anne; Langen, Manfred; Matthes, Florian Customer-Centred Intermodal Combination of Mobility Services with Conversational Interfaces Multikonferenz Wirtschaftsinformatik (MKWI) 2018, Band 4 |
| 2017 |
| Rehm, Sven-Volker; Faber, Anne; Goel, Lakshmi Visualizing Platform Hubs of Smart City Mobility Business Ecosystems Thirty Eighth International Conference on Information Systems (ICIS), Seoul, South Korea, 2017 |
| Faber, Anne Towards a Visual Language Approach for Modeling Business Ecosystems Proceedings of the Doctoral Consortium and Industry Track Papers presented at the 10th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modelling (PoEM), Leuven, Belgium, 2017 |
| Hernandez-Mendez, Adrian; Faber, Anne; Matthes, Florian Towards a Data Science Environment for Modeling Business Ecosystems: The Connected Mobility Case. Proceedings of the 21 Databases and Information Systems (ADBIS) - 1st International Workshop on Data Science: Methodologies and Use-Cases (DaS) 2017 |
| Huth, Dominik; Faber, Anne; Matthes, Florian Personal Mobility Data: Threats and Opportunities. MobilTUM Conference 2017, Munich |
| Amini, S.; Beckers, K.; Böhm, M.; Busch, F.; Celikkaya, N.; Cozzolino V.; Faber, A.; Haus, M.; Huth, D.; Kemper, A.; Kipf, A.; Krcmar H.; Matthes, F.; Ott, J.; Prehofer, C.; Pretschner, A.; Uludağ Ö.; Wörndl, W. Informatikforschung für digitale Mobilitätsplattformen: Am Beispiel des TUM Living Lab Connected Mobility, Informatik-Spektrum (40):2, pages 180-191, 2017. |
| Faber, Anne; Hernandez-Mendez, Adrian; Matthes, Florian Towards an Understanding of the Connected Mobility Ecosystem from a German Perspective. Proceedings of the 19th International Conference on Enterprise Information Systems (ICEIS) - 1st International Workshop on Advanced Enterprise Modelling (AEM) 2017 |
Sources:
Peltoniemi M., and Vuori, E. 2004. “Business ecosystem as the new approach to complex adaptive business environments,” Proceedings of eBusiness Research Forum, pp 267–281.
Bosch, J. 2016 “Speed, Data, and Ecosystems: The Future of Software Engineering,” IEEE Software (33:1), January, pp 82–88.
Moore, J. F. 1996. The Death of Competition: Leadership and Strategy in the Age of Business Ecosystems. New York: HarperBusiness.
Iansiti, M., and Levien, R. 2004. “Strategy as Ecology,” Harvard Business Review (82:3)
Basole, R. C., Huhtamäki, J., Still, K., and Russell, M. G. 2016. “Visual decision support for business ecosystem analysis,” Expert Systems with Applications, (65), pp 271–282.
Porter, M. 1979. “How competitive forces shape strategy,” Harvard Business Review, March, pp 102–117.
Huhtamaki, J., and Rubens, N. 2016. “Exploring innovation ecosystems as networks: Four european cases,” Proceedings of the Annual Hawaii International Conference on System Sciences, March, pp 4505–4514
Evans, P. C., and Basole, R. C. 2016. “Revealing the API ecosystem and enterprise strategy via visual analytics,” Communications of the ACM (59:2), pp 26–28.
Vartak, M., Huang, S., Siddiqui, T., Madden, S., and Parameswaran, A. 2017. “Towards Visualization Recommendation Systems,” ACM SIGMOD Record (45:4), May, pp 34–39.