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Endurant Ecosystems: Model-Based Assessment of Resilience of Digital Business Ecosystems

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Perspectives in Business Informatics Research (BIR 2022)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 462))

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Abstract

Information Systems (IS) of modern organizations and enterprises often rely on a network of partners’ IS to deliver the services. The resilience of this network is the necessary condition for the operation of such ISs. The Digital Business Ecosystem (DBE) theory has emerged as an approach to ensure functioning and resilience in dynamic and open networks. This paper presents three cases of analysis of resilience of DBEs. The objective of the analysis is to assess the resilience of DBEs during its design phase. During this phase, often, only structural information presented in ISs models is available. In order to assess the resilience, the DBE models are analyzed for the potential for fulfilment of typical ecosystem goals and roles. The three DBE cases analyzed are winter road maintenance, digital vaccine, and Covid-19 testing. The paper evaluates the resilience of the DBEs and formulates the practices for uncovering and strengthening it.

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Authors and Affiliations

  1. Information Technology, Riga Technical University, Kalku 1, Riga, 1658, Latvia

    Jānis Grabis

  2. Computer and Systems Sciences, Stockholm University, 16407, Kista, Sweden

    Chen Hsi Tsai, Jelena Zdravkovic & Janis Stirna

Authors
  1. Jānis Grabis
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  2. Chen Hsi Tsai
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  3. Jelena Zdravkovic
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  4. Janis Stirna
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Corresponding author

Correspondence to Jānis Grabis .

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Editors and Affiliations

  1. Riga Technical University, Riga, Latvia

    Ērika Nazaruka

  2. Rostock University, Rostock, Germany

    Kurt Sandkuhl

  3. Jönköping University, Jönköping, Sweden

    Ulf Seigerroth

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Grabis, J., Tsai, C.H., Zdravkovic, J., Stirna, J. (2022). Endurant Ecosystems: Model-Based Assessment of Resilience of Digital Business Ecosystems. In: Nazaruka, Ē., Sandkuhl, K., Seigerroth, U. (eds) Perspectives in Business Informatics Research. BIR 2022. Lecture Notes in Business Information Processing, vol 462. Springer, Cham. https://doi.org/10.1007/978-3-031-16947-2_4

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  • DOI: https://doi.org/10.1007/978-3-031-16947-2_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-16946-5

  • Online ISBN: 978-3-031-16947-2

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