A Business Ecosystem Architecture Modeling Framework

Roelf Johannes Wieringa, W. Engelsman, Jaap Gordijn, Dan Ionita

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    39 Citations (Scopus)
    11 Downloads (Pure)

    Abstract

    The concept of enterprise architecture (EA) introduced in the 1980s refers to business-IT alignment in a single organization. The concept has proven its utility in the practice of IT management, but EA frameworks cannot deal with network organizations that are enabled by IT. EA frameworks assume a hierarchically coordinated organization, where final responsibility for strategy rests with management. The characteristic feature of network organizations is that there is no central coordinator with final responsibility. Yet, today's network organizations are facilitated by IT and they too must be aligned with their IT infrastructure. To align networked organizations, we must take the value viewpoint, which is absent in EA. This paper presents an approach to business-IT alignment for networked organizations based on the concept of networked value models. In addition, since there is no hierarchical management in a network, we view business-IT alignment in a network as a coordination game, and we include results from coordination theory and game theory in our approach. We illustrate our approach with an example from the electricity business and apply it to the Bitcoin network.
    Original languageEnglish
    Title of host publication 2019 IEEE 21st Conference on Business Informatics (CBI)
    EditorsJorg Becker, Dmitriy Novikov
    PublisherIEEE
    Pages147-156
    Number of pages10
    ISBN (Electronic)978-1-7281-0650-2
    DOIs
    Publication statusPublished - 22 Aug 2019
    Event21st IEEE Conference on Business Informatics, CBI 2019 - National Research University, Moscow, Russian Federation
    Duration: 15 Jul 201917 Jul 2019
    Conference number: 21
    http://cbi2019.moscow/

    Conference

    Conference21st IEEE Conference on Business Informatics, CBI 2019
    Abbreviated titleCBI 2019
    Country/TerritoryRussian Federation
    CityMoscow
    Period15/07/1917/07/19
    Internet address

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