A Review of the Seven Modelling Approaches for Digital Ecosystem Architecture

Anwar, M; Gill, A

A Review of the Seven Modelling Approaches for Digital Ecosystem Architecture

Anwar, M

Gill, A

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2019 IEEE 21st Conference on Business Informatics (CBI), 2019, 1, pp. 94-103
Issue Date:: 2019-08-01

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Field	Value	Language
dc.contributor.author	Anwar, M https://orcid.org/0000-0001-5438-8811
dc.contributor.author	Gill, A https://orcid.org/0000-0001-6239-6280
dc.date	2019-07-15
dc.date.accessioned	2020-06-01T22:14:51Z
dc.date.available	2020-06-01T22:14:51Z
dc.date.issued	2019-08-01
dc.identifier.citation	2019 IEEE 21st Conference on Business Informatics (CBI), 2019, 1, pp. 94-103
dc.identifier.isbn	978-1-7281-0650-2
dc.identifier.issn	2378-1971
dc.identifier.uri	http://hdl.handle.net/10453/141029
dc.description.abstract	A dynamic digital ecosystem is an interrelated network of organisations, people and/or entities that interact and collaborate for value co-creation. The challenge is how to effectively model the digital ecosystems operating in a highly complex and dynamic environment. There are several modelling approaches to choose from. There is a need to evaluate the existing modelling approaches to support the modelling of digital ecosystems. This paper evaluates the scope and coverage of the selected seven modelling approaches (Adaptive Enterprise Architecture, ArchiMate, TOGAF, FAML, ISO/IEC/IEEE 42010, SABSA, and ITIL) for modelling the digital ecosystems. Adaptive enterprise architecture is taken as a reference architecture for this review due to its higher relevance to digital ecosystem layers. The results of this review indicate that every modelling methodology is different in scope and coverage and demands the integration and tailoring of a context specific modelling approaches to provide the type of support needed for digital ecosystems.
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	2019 IEEE 21st Conference on Business Informatics (CBI)
dc.relation.ispartof	IEEE Conference on Business Informatics
dc.relation.isbasedon	10.1109/CBI.2019.00018
dc.rights	info:eu-repo/semantics/closedAccess
dc.rights	© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.title	A Review of the Seven Modelling Approaches for Digital Ecosystem Architecture
dc.type	Conference Proceeding
utslib.citation.volume	1
utslib.location.activity	Moscow, Russia
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2020-06-01T22:14:47Z
pubs.finish-date	2019-07-17
pubs.place-of-publication	Piscataway, USA
pubs.publication-status	Published
pubs.start-date	2019-07-15
pubs.volume	1
utslib.start-page	94
dc.location	Piscataway, USA

Abstract:

A dynamic digital ecosystem is an interrelated network of organisations, people and/or entities that interact and collaborate for value co-creation. The challenge is how to effectively model the digital ecosystems operating in a highly complex and dynamic environment. There are several modelling approaches to choose from. There is a need to evaluate the existing modelling approaches to support the modelling of digital ecosystems. This paper evaluates the scope and coverage of the selected seven modelling approaches (Adaptive Enterprise Architecture, ArchiMate, TOGAF, FAML, ISO/IEC/IEEE 42010, SABSA, and ITIL) for modelling the digital ecosystems. Adaptive enterprise architecture is taken as a reference architecture for this review due to its higher relevance to digital ecosystem layers. The results of this review indicate that every modelling methodology is different in scope and coverage and demands the integration and tailoring of a context specific modelling approaches to provide the type of support needed for digital ecosystems.

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http://hdl.handle.net/10453/141029