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Designing Sustainable Digitalization: Crisisology-Based Tradeoff Optimization in Sociotechnical Systems

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Intelligent Decision Technologies (KESIDT 2023)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 352))

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Abstract

Design and development of modern information systems represent a bright ex-ample of a complex decision problem. In that context our especial interest lays in proposing a new approach to decision support in the tasks of multi-criteria tradeoff optimization of information systems which will facilitate sustainable development of the application domain where the information system will be used. In that work we propose a method and a corresponding decision support software service for linguistic multi-criteria choice among multiple design alternatives. Our method is based on a hierarchy of cross-disciplinary criteria which reflect the concept of crisisology. The decision support service uses an ontology-based mechanism for dynamic customization of user interface. Application of our method and the decision support service are demonstrated for the case of designing a CRM information system for the enterprise.

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Authors and Affiliations

  1. HSE University, Moscow, Russia

    Sergey V. Zykov, Eduard Babkin, Boris Ulitin & Alexander Demidovskiy

Authors
  1. Sergey V. Zykov
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  2. Eduard Babkin
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  3. Boris Ulitin
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  4. Alexander Demidovskiy
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Corresponding author

Correspondence to Boris Ulitin .

Editor information

Editors and Affiliations

  1. Gdynia Maritime University, Gdynia, Poland

    Ireneusz Czarnowski

  2. KES International Research, Shoreham-by-sea, UK

    R.J. Howlett

  3. KES International, Selby, UK

    Lakhmi C. Jain

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Zykov, S.V., Babkin, E., Ulitin, B., Demidovskiy, A. (2023). Designing Sustainable Digitalization: Crisisology-Based Tradeoff Optimization in Sociotechnical Systems. In: Czarnowski, I., Howlett, R., Jain, L.C. (eds) Intelligent Decision Technologies. KESIDT 2023. Smart Innovation, Systems and Technologies, vol 352. Springer, Singapore. https://doi.org/10.1007/978-981-99-2969-6_22

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