A method for predicting the probability of business network profitability

Information Systems and e-Business Management

Volumn 12, Issue 4, 2014, Pages 567-593

  Johnson, Pontus ^a   Iacob, Maria Eugenia ^b   Välja, Margus ^a   van Sinderen, Marten ^b   Magnusson, Christer ^c   Ladhe, Tobias ^c  

^a ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

^b UNIVERSITY OF TWENTE   (Netherlands)

^c STOCKHOLM UNIVERSITY   (Sweden)

Author keywords

Goal interoperability; Probabilistic inference; Profitability; Risk analysis; Value networks

Indexed keywords

EID: 84912032840     PISSN: 16179846     EISSN: 16179854     Source Type: Journal    
DOI: 10.1007/s10257-014-0237-4     Document Type: Article

References (47)

1. Aaker DA, Jacobson R (1987) The role of risk in explaining differences in profitability. Acad Manag J 30(2):277–296
2. Alberts BT, Meertens LO, Iacob ME, Nieuwenhuis LJM (2012) 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
3. Al-Debei MM, Avison A (2010) Developing a unified framework of the business model concept. Eur J Inf Syst 19:359–376
4. Asnar Y, Giorgini P (2006) Modelling risk and identifying countermeasures in organizations. In: Proceedings of 1st international workshop on critical information infrastructures security (CRITIS’06), vol 4347 of LNCS. Springer, pp 55–66
5. Asuncion CH, van Sinderen MJ (2010) Pragmatic interoperability: a systematic review of published definitions. In: Proceedings of the IFIP TC5 international conference on enterprise architecture, integration and interoperability, EAI2 N 2010. Brisbane, Australia
6. Blankenburg Holm D, Eriksson K, Johanson J (1996) Business networks and cooperation in international business relationships. J Int Bus Stud 27(5):1033–1053
7. Cucchiella F, Gastaldi M (2006) Risk management in supply chain: a real option approach. J Manuf Technol Manag 17(6):700–720
8. Demil B, Lecocq X (2010) Business model evolution: in search of dynamic consistency. Long Range Plan 43(2010):227–246
9. Druzdzel MJ, van der Gaag LC (2000) Building probabilistic networks: ‘Where do the numbers come from?’ IEEE Trans Knowl Data Eng 12(4):481–486
10. EAAT Tool Download. http://www.kth.se/en/ees/omskolan/organisation/avdelningar/ics/research/eat/downloads-1.46631
11. Exploateringskontoret Stockholms Stad (2010) Övergripande program för miljö och hållbar stadsutveckling i Norra Djurgårdsstaden, Stockholms Stad, Stockholm, Sweden
12. Fatemi H, Van Sinderen MJ, Wieringa RJ (2011) Trust and business webs. In: Proceedings of the 15th IEEE international enterprise distributed object computing conference, EDOC 2011, 29 Aug–02 Sep 2011. IEEE Computer Society, Helsinki, Finland, pp 119–128
13. Geerts LG, McCarthy EW (2002) An ontological analysis of the primitives of the extended-REA enterprise information architecture. Int J Account Inf Syst 3:1–16
14. Gordijn J (2002) Value-based requirements engineering: exploring innovative e-commerce ideas. PhD Thesis, Vrije Universiteit Amsterdam
15. Gordijn J, Akkermans H (2003) Value based requirements engineering: exploring innovative e-commerce idea. Requir Eng J 8(2):114–134
16. Gordijn J, Akkermans H (2007) Business models for distributed generation in a liberalized market environment. Electr Power Syst Res 77(9):1178–1188
17. Gordijn J, Osterwalder A, Pigneur Y (2005) Comparing two business model ontologies for designing e-business models and value constellations. In Proceedings of the 18th bled eConference: eIntegration in action. Slovenia
18. Haase N, Renkewitz F, Betsch C (2013) The measurement of subjective probability: evaluating the sensitivity and accuracy of various scales. Risk Anal 33(10):1812–1828
19. Hacklin F, Wallnöfer M (2012) The business model in the practice of strategic decision making: insights from a case study. Manag Decis 50(2):166–188
20. Hallikasa J, Karvonenb I, Pulkkinenb U, Virolainenc V-M, Tuominen M (2004) Risk management processes in supplier networks. Int J Prod Econ 90(1):47–58
21. Hedman J, Kalling T (2003) The business model concept: theoretical underpinnings and empirical illustrations. Eur J Inf Syst 12(1):49–59
22. Hemnet Service HNS AB (2013) Hemnet. http://www.hemnet.se. Accessed 03 Jun 2013
23. Iacob M-E, Jonkers H (2007) Quantitative analysis of service-oriented architectures. Int J Enterp Inf Syst 3(1):42–60
24. Iacob ME, Quartel D, Jonkers H (2012) Capturing business strategy and value in enterprise architecture to support portfolio valuation. In: Proceedings of the 16th IEEE international EDOC conference (EDOC 2012) “the enterprise computing conference”, September 10–14, 2012. Beijing, China, pp 11–20
25. ISO 31000 (2009) Risk management principles and guidelines. International Organization for Standardization, Geneva
26. ISO 31010 (2009) Risk management risk assessment techniques. International Organization for Standardization, Geneva
27. Johnson P, Johansson E, Sommestad T, Ullberg J (2007) A tool for enterprise architecture analysis. In: Proceedings of the 11-th IEEE international enterprise computing conference (EDOC’07). Annapolis USA
28. 2AMF: predictive, probabilistic architecture modeling framework, accepted to the int. In: IFIP working conference on enterprise interoperability (IWEI 2013). Enschede, The Netherlands
29. Kim WC, Mauborgne R (2000) Knowing a winning business idea when you see one. Harvard Business Rev 78(5):129–138
30. Lambert S (2008) 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
31. Lumpkin GT, Dess GG (2004) E-business strategies and internet business models: how the internet adds value. Org Dyn 33(2):161–173
32. Michalk W, Filipova-Neumann L, Blau B, Weinhardt C (2011) Reducing risk or increasing profit? Provider decisions in agreement networks. Serv Sci 3(3):206–222
33. Möller KE, Törrönen P (2003) Business suppliers’ value creation potential: a capability-based analysis. Ind Mark Manage 32(2):109–118
34. Morris M, Schindehutte M, Allen J (2005) The entrepreneur’s business model: toward a unified perspective. J Bus Res 58(6):726–735
35. OMG (2010) Object constraint language, version 2.3
36. OMG (2011) Value delivery modeling language (VDML), Doc. No. bmi/2011-05-11
37. Osterwalder A (2004) The business model ontology—a proposition in a design science approach. PhD Thesis, Universite de Lausanne
38. Pateli AG, Giaglis GM (2004) A research framework for analysing eBusiness models. Eur J Inf Syst 13(4):302–314
39. Sousa S, Marosin D, Gaaloul K, Mayer N (2013) Assessing risks and opportunities in enterprise architecture using an extended ADT approach. Accepted at EDOC 2013
40. Stockholm city (2012) Statistik om Stockholm. http://www.statistikomstockholm.se/index.php/detaljerad-statistik. Accessed 01 Nov 2013
41. The Open Group (2009) Technical standard risk taxonomy, January, ISBN: 1-931624-77-1, document number: C08. http://pubs.opengroup.org/onlinepubs/9699919899/toc.pdf. Accessed 28 Oct 2011
42. The Open Group (2009) Technical standard risk taxonomy, January, document number: C08
43. Walsh B (2004) Markov chain monte Carlo and gibbs sampling. Lecture notesfor EEB 581,version 26. http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.131.4064
44. Wirtz BW, Schilke O, Ullrich S (2010) Strategic development of business models. Implications of the web 2.0 for creating value on the internet. Long Range Plan 43(2010):272–290
45. Yunus M, Moingeon B, Lehmann-Ortega L (2010) Building social business models: lessons from the Grameen experience. Long Range Plan 43(2010):308–325
46. Zott C, Amit R (2010) Business model design: an activity system perspective. Long Range Plan 43:216–226
47. Zott C, Amit R, Massa L (2011) The business model: recent developments and future research. J Manag 37(4):1019–1042