Modeling for Viability

Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 229)

Abstract

One of the attractive features of enterprises is their viability. However, it is not easy to measure and control values of attributes that could indicate the level of enterprise viability. Moreover, an enterprise usually is a system of systems that has to function as an ecosystem both from functional and from structural viewpoints. One of the means for modeling for viability is St. Beer’s Viable Systems Model. However, this model ecosystemically considers viability only from the functional perspective. In reality the organizations still have their structural units that strive for their own viability even they do not directly resemble the functions prescribed by the Viable Systems Model. The paper suggests to not neglect this striving for viability and proposes a novel approach for modeling structural units to move towards a possibility to estimate their viability in the enterprise.

Keywords

Viable systems model Business process architecture Enterprise architecture Systems of systems 

References

  1. 1.
    Missikoff, M., Charabilidis, Y., Gongcalves, R., Popplewell, K. (eds.): FInES Research Roadmap 2025: Final Document (Version 3.0). European Communities (2012). http://cordis.europa.eu/fp7/ict/enet/documents/fines-research-roadmap-v30_en.pdf
  2. 2.
    Abraham, R., Tribolet, J., Winter, R.: Transformation of multi-level systems – theoretical grounding and consequences for enterprise architecture management. In: Proper, H.A., Aveiro, D., Gaaloul, K. (eds.) EEWC 2013. LNBIP, vol. 146, pp. 73–87. Springer, Heidelberg (2013)CrossRefGoogle Scholar
  3. 3.
    Hoverstadt, P.: The Fractal Organization: Creating Sustainable Organizations with the Viable Systems Model. Wiley, Chichester (2008)Google Scholar
  4. 4.
    Espejo, R., Reyes, A.: Organizational Systems. Managing Complexity with the Viable System Model. Springer, Berlin (2011)Google Scholar
  5. 5.
    Perez, R.J.: Design and Diagnosis for Sustainable Organization. Springer, Berlin (2012)CrossRefGoogle Scholar
  6. 6.
    Sturdy, G.R.: Business Process Reengineering: Strategies for Occupational Health and Safety. Cambridge press, Cambridge (2010)Google Scholar
  7. 7.
    Bilal, M., Daclin, N., Chapurlat, V.: Collaborative networked organizations as system of systems: a model-based engineering approach. In: Camarinha-Matos, L.M., Afsarmanesh, H. (eds.) Collaborative Systems for Smart Networked Environments. IFIP AICT, vol. 434, pp. 227–234. Springer, Heidelberg (2014)Google Scholar
  8. 8.
    PCF: Process classification framework (2012). http://www.apqc.org/process-classification-framework
  9. 9.
    Buckl, S., Matthes, F., Schweda, C.M.: Viable system perspective on enterprise architecture management. In: Proceedings of the 2009 IEEE International Conference on Systems, Man and Cybernetics, pp. 1483–1488. IEEE (2009)Google Scholar
  10. 10.
    Proper, H.A.: Enterprise architecture: informed steering of enterprises in motion. In: Hammoudi, S., Cordeiro, J., Maciaszek, L.A., Filipe, J. (eds.) ICEIS 2013. LNBIP, vol. 190, pp. 16–34. Springer, Heidelberg (2014)Google Scholar
  11. 11.
    Närman, M., Buschle, M., Ekstedt, M.: An enterprise architecture framework for multi-attribute information systems analysis. Softw. Syst. Model. 13(3), 1085–1116 (2014)CrossRefGoogle Scholar
  12. 12.
    Zadeh, M.E., Lewis, E., Millar, G., Yinan Yang, Thorne, C.: The use of viable system model to develop guidelines for generating enterprise architecture principles. In: Proceedings of the 2014 IEEE International Conference on Systems, Man and Cybernetics (SMC), pp. 1020–1026. IEEE (2014)Google Scholar
  13. 13.
    Kandjani, H., Bernus, P.: The enterprise architecture body of knowledge as an evolving discipline. Kluwer Academic Publishers (1998). https://www.academia.edu/3862307/The_Enterprise_Architecture_Body_of_Knowledge_as_an_Evolving_Discipline
  14. 14.
    Sandkuhl, K., Stirna, J., Persson, A., Wißotzki, M.: Enterprise Modeling: Tackling Business Challenges with the 4EM Method. Springer, Heildelberg (2014)CrossRefGoogle Scholar
  15. 15.
    Henkel, M., Bider, I., Perjons, E.: Capability-based business model transformation. In: Iliadis, L., Papazoglou, M., Pohl, K. (eds.) CAiSE Workshops 2014. LNBIP, vol. 178, pp. 88–99. Springer, Heidelberg (2014)Google Scholar
  16. 16.
    Beer, S.: Diagnosing the Systems for Organizations. Wiley, Chichester (1985)Google Scholar
  17. 17.
    Kirikova, M., Pudane, M.: Viable systems model based information flows. In: Catania, B., Cerquitelli, T., Chiusano, S., Guerrini, G., Kämpf, M., Kemper, A., Novikov, B., Palpanas, T., Pokorny, J., Vakali, A. (eds.) New Trends in Databases and Information Systems. AISC, vol. 241, pp. 97–104. Springer, Heidelberg (2014)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Department of Artificial Intelligence and Systems DesignRiga Technical UniversityRigaLatvia

Personalised recommendations