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On the Alignment of DAO with Socio-political Principles of Decentralised Governance Using TOGAF and ArchiMate

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Enterprise Design, Operations, and Computing. EDOC 2024 Workshops (EDOC 2024)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 537))

  • 12 Accesses

Abstract

In this work, we explore the application of Enterprise Architecture (EA) frameworks, specifically TOGAF and ArchiMate, to model the alignment between socio-political artifacts and technological artifacts within Decentralised Autonomous Organisations (DAOs). DAOs are new organisation model that leverages blockchain (BC) technology to implement decentralised governance such as Liquid Democracy (LD) which respect anarchist principles. However, the challenge lies in demonstrating the traceability between socio-political governance processes and the technological artifacts that enables these processes. This paper addresses this gap by applying Design Science Research (DSR) methodology to develop a reference architecture. This Architecture serves as a structured model to analyze and verify the alignment of decentralised governance processes with their technological implementations DAOs. This work contribution is a systematic approach to modelisation and analysis of socio-political structures of decentralised organisations, ensuring they align with the underlying technology supporting them.

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Notes

  1. 1.

    https://www.opengroup.org/togaf.

  2. 2.

    using this SCOPUS query string: “(TITLE-ABS-KEY(“Enterprise Architecture” AND “E-Government” AND “Interoperability”) OR TITLE-ABS-KEY(“decentralized Autonomous organisation” AND “Blockchain” AND “Governance”) OR TITLE-ABS-KEY(“Business Process Modelization” AND “Enterprise Architecture”) OR TITLE-ABS-KEY(“Enterprise Architecture” AND “Digital Ecosystem”) OR TITLE-ABS-KEY(“Requirements for Enterprise Architecture Frameworks”) OR TITLE-ABS-KEY(“Validation of Enterprise Architecture Frameworks quality”) OR TITLE-ABS-KEY(“decentralized Governance” AND “TOGAF” AND “ArchiMate”) OR TITLE-ABS-KEY(“Liquid Democracy” AND “Anarchist principles” AND “Blockchain”) OR (TITLE-ABS-KEY(“Enterprise Modeling”) OR TITLE-ABS-KEY(“Enterprise Architecture”) AND TITLE-ABS-KEY(“Blockchain” OR “decentralized Autonomous organisation” OR “DAO”)))AND PUBYEAR > 2017”.

  3. 3.

    Full goal model available at: https://github.com/edoc2024/paper.

  4. 4.

    Complete motivation layer diagram available at: https://github.com/edoc2024/paper.

  5. 5.

    Extra BPMN diagrams: https://github.com/edoc2024/paper/tree/main/BPMN.

  6. 6.

    The complete business layer can be found here: https://github.com/edoc2024/paper.

  7. 7.

    The motivation layer can be found here: https://github.com/edoc2024/paper.

  8. 8.

    The complete view can be found here: https://github.com/edoc2024/paper/.

  9. 9.

    These models can be found at: https://github.com/edoc2024/paper.

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Authors and Affiliations

  1. Centre de Recherche en Informatique, Université Paris 1 Panthéon-Sorbonne, 75013, Paris, France

    Julien Hue, Irina Rychkova & Nicolas Herbaut

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  1. Julien Hue
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  2. Irina Rychkova
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  3. Nicolas Herbaut
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Corresponding author

Correspondence to Julien Hue .

Editor information

Editors and Affiliations

  1. University of Duisburg-Essen, Essen, Germany

    Monika Kaczmarek-Heß

  2. Niederrhein University of Applied Sciences, Mönchengladbach, Germany

    Kristina Rosenthal

  3. Czech Technical University in Prague, Prague, Czech Republic

    Marek Suchánek

  4. Universidade de Lisboa, Lisbon, Portugal

    Miguel Mira Da Silva

  5. TU Wien, Vienna, Austria

    Henderik A. Proper

  6. TU Wien, Vienna, Austria

    Marianne Schnellmann

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Hue, J., Rychkova, I., Herbaut, N. (2025). On the Alignment of DAO with Socio-political Principles of Decentralised Governance Using TOGAF and ArchiMate. In: Kaczmarek-Heß, M., Rosenthal, K., Suchánek, M., Da Silva, M.M., Proper, H.A., Schnellmann, M. (eds) Enterprise Design, Operations, and Computing. EDOC 2024 Workshops . EDOC 2024. Lecture Notes in Business Information Processing, vol 537. Springer, Cham. https://doi.org/10.1007/978-3-031-79059-1_8

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