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International Conference on Business Informatics Research

BIR 2015: Perspectives in Business Informatics Research pp 265–272Cite as

Modeling for Viability

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Part of the book series: Lecture Notes in Business Information Processing ((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.

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Acknowledgment

The research reflected in this paper is partly supported by the grant of Latvian Council of Science.

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Authors and Affiliations

  1. Department of Artificial Intelligence and Systems Design, Riga Technical University, Riga, Latvia

    Marite Kirikova

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  1. Marite Kirikova
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Correspondence to Marite Kirikova .

Editor information

Editors and Affiliations

  1. University of Tartu, Tartu, Estonia

    Raimundas Matulevičius

  2. University of Tartu, Tartu, Estonia

    Marlon Dumas

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Kirikova, M. (2015). Modeling for Viability. In: Matulevičius, R., Dumas, M. (eds) Perspectives in Business Informatics Research. BIR 2015. Lecture Notes in Business Information Processing, vol 229. Springer, Cham. https://doi.org/10.1007/978-3-319-21915-8_18

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  • DOI: https://doi.org/10.1007/978-3-319-21915-8_18

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-21914-1

  • Online ISBN: 978-3-319-21915-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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