Abstract
In the design phase of business collaboration, it is desirable to be able to predict the profitability of the business-to-be. Therefore, techniques to assess qualities such as costs, revenues, risks, and profitability have been previously proposed. However, they do not allow the modeler to properly manage uncertainty with respect to the design of the considered business collaboration. In many real collaboration projects today, uncertainty regarding the business’ present or future characteristics is so significant that ignoring it becomes problematic. In this paper, we propose an approach based on the Predictive, Probabilistic Architecture Modeling Framework (P2AMF), capable of advanced and probabilistically sound reasoning about profitability risks. The P2AMF-based approach for profitability risk prediction is also based on the e3-value modeling language and on the Object Constraint Language (OCL). The paper introduces the prediction and modeling approach, and a supporting software tool. The use of the approach is illustrated by means of a case.
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Koller, D., Friedman, N.: Probabilistic graphical models: principles and techniques (2009)
Walsh, B.: Markov chain monte carlo and gibbs sampling (2004)
Johnson, P., Johansson, E., Sommestad, T., Ullberg, J.: A Tool for Enterprise Architecture Analysis. In: Proceedings of the 11th IEEE International Enterprise Computing Conference, EDOC 2007, Annapolis, USA (2007)
Johnson, P., Ullberg, J., Buschle, M., Franke, U., Shahzad, K.: P2 AMF: Predictive, Probabilistic Architecture Modeling Framework. In: van Sinderen, M., Luttighuis, P.O., Folmer, E., Bosems, S. (eds.) IWEI 2013. LNBIP, vol. 144, pp. 104–117. Springer, Heidelberg (2013)
Gordijn, J., Osterwalder, A., Pigneur, Y.: Comparing two Business Model Ontologies for Designing e-Business Models and Value Constellations. In: Proceedings of the 18th Bled eConference: eIntegration in Action, Slovenia (2005)
Al-Debei, M.M., Avison, A.: Developing a unified framework of the business model concept. European Journal of Information Systems 19, 359–376 (2010)
Lambert, S.: A Conceptual Framework for Business Model Research. In: Proceedings of the 21st Bled eConference: eIntegration in Action. 21st Bled eConference eCollaboration: Overcoming Boundaries through Multi-Channel Interaction, Slovenia, pp. 227–289 (2008)
Zott, C., Amit, R., Massa, L.: The Business Model: Recent Developments and Future Research. Journal of Management 37(4), 1019–1042 (2011)
Kim, W.C., Mauborgne, R.: Knowing a winning business idea when you see one. Harvard Business Review 78(5), 129–138 (2000)
Hedman, J., Kalling, T.: The business model concept: Theoretical underpinnings and empirical illustrations. European Journal of Information Systems 12(1), 49–59 (2003)
Wirtz, B.W., Schilke, O., Ullrich, S.: Strategic Development of Business Models. Implications of the Web 2.0 for Creating Value on the Internet. Long Range Planning 43, 272–290 (2010)
Lumpkin, G.T., Dess, G.G.: E-Business Strategies and Internet Business Models: How the Internet Adds Value. Organizational Dynamics 33(2), 161–173 (2004)
Morris, M., Schindehutte, M., Allen, J.: The entrepreneur’s business model: toward a unified perspective. Journal of Business Research 58(6), 726–735 (2005)
Demil, B., Lecocq, X.: Business Model Evolution: In Search of Dynamic Consistency. Long Range Planning 43, 227–246 (2010)
Yunus, M., Moingeon, B., Lehmann-Ortega, L.: Building Social Business Models: Lessons from the Grameen Experience. Long Range Planning 43, 308–325 (2010)
Zott, C., Amit, R.: Business Model Design: An Activity System Perspective. Long Range Planning 43, 216–226 (2010)
OMG, Object Constraint Language, version 2.3 (2010)
Alberts, B.T., Meertens, L.O., Iacob, M.E., Nieuwenhuis, L.J.M.: The MOF Perspective on Business Modelling. In: Proceedings of the Second International Symposium on Business Modeling and Software Design 2012 (BMSD 2012), pp. 43–52 (2012)
Pateli, A.G., Giaglis, G.M.: A research framework for analysing eBusiness models. European Journal of Information Systems 13(4), 302–314 (2004)
Osterwalder, A.: The Business Model Ontology - a proposition in a design science approach, PhD Thesis, Université de Lausanne (2004)
Gordijn, J.: Value-based Requirements Engineering: Exploring Innovative e-Commerce Ideas. PhD Thesis. Vrije Universiteit Amsterdam (2002)
Gordijn, J., Akkermans, H.: Value based requirements engineering: Exploring innovative e-commerce idea. Requirements Engineering Journal 8(2), 114–134 (2003)
Iacob, M.E., Meertens, L.O., Jonkers, H., Quartel, D.A.C., Nieuwenhuis, L.J.M., van Sinderen, M.J.: From enterprise architecture to business models and back. Software & Systems Modeling (December 2012), doi:201210.1007/s10270-012-0304-6, Print ISSN1619-1366, Online ISSN1619-1374
Fatemi, H., Van Sinderen, M.J., Wieringa, R.J.: Trust and business webs. In: Proceedings of the 15th IEEE International Enterprise Distributed Object Computing Conference, EDOC 2011, Helsinki, Finland, August 29–September 02, pp. 119–128. IEEE Computer Society (2011)
The Open Group: Technical Standard Risk Taxonomy, January, Doc. No.: C08 (2009)
OMG, Value Delivery Modeling Language (VDML), Doc. No. bmi/2011-05-11 (2011)
Geerts, L.G., McCarthy, E.W.: An Ontological Analysis of the Primitives of the Extended-REA Enterprise Information Architecture. The International Journal of Accounting Information Systems 3, 1–16 (2002)
Andersson, S.-L., Elofsson, A.: Plug-in Hybrid Electric Vehicles as Control Power: Case studies of Sweden and Germany, Master Thesis, Report no: T-2008-317, Chalmers University of Technology, Göteborg, Sweden (2009)
Exploateringskontoret Stockholms Stad, Övergripande program för miljö och hållbar stadsutveckling i Norra Djurgårdsstaden, Stockholms Stad, Stockholm, Sweden (2010)
Asuncion, C.H., van Sinderen, M.J.: Pragmatic Interoperability: A Systematic Review of Published Definitions. In: Bernus, P., Doumeingts, G., Fox, M. (eds.) EAI2N 2010. IFIP AICT, vol. 326, pp. 164–175. Springer, Heidelberg (2010)
Iacob, M.-E., Jonkers, H.: Quantitative analysis of service-oriented architectures. International Journal of Enterprise Information Systems 3(1), 42–60 (2007)
EAAT tool download, http://www.kth.se/en/ees/omskolan/organisation/avdelningar/ics/research/eat/downloads-1.46631
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Johnson, P., Iacob, M.E., Välja, M., van Sinderen, M., Magnusson, C., Ladhe, T. (2013). Business Model Risk Analysis: Predicting the Probability of Business Network Profitability. In: van Sinderen, M., Oude Luttighuis, P., Folmer, E., Bosems, S. (eds) Enterprise Interoperability. IWEI 2013. Lecture Notes in Business Information Processing, vol 144. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36796-0_11
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DOI: https://doi.org/10.1007/978-3-642-36796-0_11
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