Viable Systems Model Based Information Flows

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 241)

Abstract

In information systems engineering it is important to ensure that all essential information flows are properly identified and supported. Usually the set of relevant information flows is detected using such knowledge acquisition techniques as interviews and document analysis. Since nowadays flexibility, adaptability, and agility are important features of enterprises for their operational strength in a highly turbulent environment, the research question arises whether there is a generic set of requirements that have to be met by information systems to obtain and sustain above mentioned enterprise features. To answer this question, Viable Systems Model (VSM) is experimentally used as a basis for identification of a set of information flows, which should be present in VSM complying enterprises. Specific constructs presented in the enterprise architecture description language are proposed for consistent integration of detected flows into enterprise information systems.

Keywords

Viable Systems Model (VSM) information system data flow information flow knowledge flow ArchiMate 

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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.
    Hoverstadt, P.: The Fractal Organization: Creating Sustainable Organizations with the Viable Systems Model. John Wiley & Sons, Chichester (2008)Google Scholar
  3. 3.
    Espejo, R., Reyes, A.: Organizational Systems. Managing Complexity with the Viable System Model. Springer, Berlin (2011)Google Scholar
  4. 4.
    Perez Rios, J.: Design and Diagnosis for Sustainable Organization. Springer, Berlin (2012)Google Scholar
  5. 5.
    Sandkuhl, K., Kirikova, M.: Analysing enterprise models from a fractal organisation perspective - potentials and limitations. In: Johannesson, P., Krogstie, J., Opdahl, A.L. (eds.) PoEM 2011. LNBIP, vol. 92, pp. 193–207. Springer, Heidelberg (2011)Google Scholar
  6. 6.
    Strazdina, R., Kirikova, M.: Change management for fractal enterprises. In: Proceeding of the 19th International Conference on Information Systems Development (ISD 2010), pp. 735–745. Springer, Prague (2011)Google Scholar
  7. 7.
    Kirikova, M.: Towards flexible information architecture for fractal information systems. In: Kusiac, A., Lee, S. (eds.) The Proceedings of the International Conference on Information, Process, and Knowledge Management, eKNOW 2009, Cancun, pp. 135–140. IEEE Computer Society (2009)Google Scholar
  8. 8.
    Kirikova, M.: Towards multifractal approach in IS development. In: Barry, C., Conboy, K., Lang, M., Wojtkowski, G., Wojtkowski, W. (eds.) Information Systems Development: Challenges in Practice, Theory and Education, vol. 1, pp. 295–306. Springer (2009)Google Scholar
  9. 9.
    ArchiMate: ArchiMate® 2.0 Specification (2012), https://www2.opengroup.org/ogsys/catalog/c118
  10. 10.
    Sandkuhl, K., Smirnov, A., Shilov, N.: Information logistics in engineering change management: Integrating demand patterns and recommendation systems. In: Niedrite, L., Strazdina, R., Wangler, B. (eds.) BIR 2011 Workshops. LNBIP, vol. 106, pp. 14–25. Springer, Heidelberg (2012)Google Scholar
  11. 11.
    Beer, S.: Diagnosing the Systems for Organizations. John Wiley & Sons, Chichester (1985)Google Scholar
  12. 12.
    Kontogiannis, T., Malakis, S.: A systemic analysis of patterns of organizational breakdowns in accidents: A case from Helicopter Emergency Medical Service (HEMS) operations. In: Reliability Engineering and System Safety, vol. 99, pp. 193–208. Elsevier (2012)Google Scholar
  13. 13.
    Rudzajs, P., Kirikova, M.: Multimodal information logistics for conceptual correspondence monitoring. In: The Proceedings of the 5th Workshop on Information Logistics (ILOG 2012) in conjunction with the 11th International Conference on Business Informatics Research (BIR 2012), Russia, Nizhniy Novgorod (2012)Google Scholar
  14. 14.
    Kirikova, M.: Domain Modeling Approaches in IS Engineering. In: Osis, J., Asnina, E. (eds.) Model-Driven Domain Analysis and Software Development: Architectures and Functions. IGI Global (2010)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Department of Systems Theory and DesignRiga Technical UniversityRigaLatvia
  2. 2.Institute of Applied Computer SystemsRiga Technical UniversityRigaLatvia

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