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Complex adaptive digital EcoSystems

Author:

Gerard BriscoeAuthors Info & Claims

MEDES '10: Proceedings of the International Conference on Management of Emergent Digital EcoSystems

Pages 39 - 46

https://doi.org/10.1145/1936254.1936262

Published: 26 October 2010 Publication History

Abstract

We investigate an abstract conceptualisation of Digital Ecosystems from a computer science perspective. We then provide a conceptual framework for the cross pollination of ideas, concepts and understanding between different classes of ecosystems through the universally applicable principles of Complex Adaptive System (CAS) modelling. A framework to assist the cross-disciplinary collaboration of research into Digital Ecosystems, including Digital Business Ecosystems (DBEs) and Digital Knowledge Ecosystems (DKEs). So, we have defined the key steps towards a theoretical framework for Digital the Ecosystems, that is compatible with the diverse theoretical views prevalent. Therefore, a theoretical edifice that can unify the diverse efforts within Digital Ecosystems research.

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Cited By

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https://doi.org/10.33141/po.2023.03.06
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https://doi.org/10.1007/s11625-024-01591-6
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Index Terms

Complex adaptive digital EcoSystems

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cover image ACM Other conferences

MEDES '10: Proceedings of the International Conference on Management of Emergent Digital EcoSystems

October 2010

302 pages

ISBN:9781450300476

DOI:10.1145/1936254

Program Chair:
Richard Chbeir
Bourgogne University, France

Copyright © 2010 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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NECTEC: National Electronics and Computer Technology Center
KU: Kasetsart University

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SIGAPP: ACM Special Interest Group on Applied Computing

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 October 2010

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Sixth Framework Programme

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MEDES '10

Sponsor:

NECTEC
KU

MEDES '10: The International Conference on Management of Emergent Digital EcoSystems 2010

October 26, 2010

Bangkok, Thailand

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MEDES '10 Paper Acceptance Rate 26 of 93 submissions, 28%;

Overall Acceptance Rate 267 of 682 submissions, 39%

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Cited By

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https://doi.org/10.33141/po.2023.03.06
Saeidi ATippannavar SKovacic S(2024)Transformation through Technology: Assessing the Feasibility of Digital Ecosystems Using MBSE2024 19th Annual System of Systems Engineering Conference (SoSE)10.1109/SOSE62659.2024.10620965(197-201)Online publication date: 23-Jun-2024
https://doi.org/10.1109/SOSE62659.2024.10620965
Magarey RChappell T(2024)A model that integrates stocks and flows of multi-capitals for understanding and assessing the sustainability of social–ecological systemsSustainability Science10.1007/s11625-024-01591-6Online publication date: 2-Dec-2024
https://doi.org/10.1007/s11625-024-01591-6
Graça PCamarinha-Matos L(2024)A Human-AI Centric Performance Evaluation System for Collaborative Business EcosystemsTechnological Innovation for Human-Centric Systems10.1007/978-3-031-63851-0_1(3-27)Online publication date: 28-Jun-2024
https://doi.org/10.1007/978-3-031-63851-0_1
Coskun-Setirek ACarmela Annosi MHurst WDolfsma WTekinerdogan B(2023)Architecture and Governance of Digital Business Ecosystems: A Systematic Literature ReviewInformation Systems Management10.1080/10580530.2023.219406341:1(58-90)Online publication date: 24-Mar-2023
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Papavasiliou SGorod AReaiche C(2023)System of systems engineering governance framework for digital transformation: A case study of an Australian large government agencySystems Engineering10.1002/sys.21719Online publication date: 14-Sep-2023
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