An ontology-based well-founded proposal for modeling resources and capabilities in ArchiMate

Carlos L.B. Azevedo; Maria Eugenia Iacob; João Andrade Almeida; Marten J. van Sinderen; Luis Ferreira Pires; G. Guizzardi

doi:10.1109/EDOC.2013.14

An ontology-based well-founded proposal for modeling resources and capabilities in ArchiMate

Carlos L.B. Azevedo, Maria Eugenia Iacob, João Andrade Almeida, Marten J. van Sinderen, Luis Ferreira Pires, G. Guizzardi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

37 Citations (Scopus)

187 Downloads (Pure)

Abstract

The importance of capabilities and resources for portfolio management and business strategy has been recognized in the management literature and on a recent proposal to extend ArchiMate, which includes these concepts in order to improve ArchiMate’s coverage of portfolio management. This paper presents an ontological analysis of the concepts introduced in that proposal, focusing in particular on the resource, capability and competence concepts. As a result, it proposes well-founded recommendations for improvements, enhancing its suitability and integration possibilities.

Original language	Undefined
Title of host publication	Seventeenth IEEE International Enterprise Object Computing Conference, EDOC 2013
Editors	D Gasevic, M. Hatala, H.R. Motahari Nezhad, M.U. Reichert
Place of Publication	USA
Publisher	IEEE
Pages	39-48
Number of pages	10
ISBN (Print)	978-0-7695-5081-7
DOIs	https://doi.org/10.1109/EDOC.2013.14
Publication status	Published - Sept 2013
Event	17th IEEE International Enterprise Distributed Object Computing Conference, EDOC 2013 - Vancouver, Canada Duration: 9 Sept 2013 → 13 Sept 2013 Conference number: 17

Publication series

Name
Publisher	IEEE
ISSN (Print)	1541-7719

Conference

Conference	17th IEEE International Enterprise Distributed Object Computing Conference, EDOC 2013
Abbreviated title	EDOC
Country/Territory	Canada
City	Vancouver
Period	9/09/13 → 13/09/13

Keywords

SCS-Services
Ontology-based Semantics
EWI-23827
Enterprise Architecture
IR-88240
Capability
ArchiMate
Modelling
METIS-300079
Resource

Access to Document

10.1109/EDOC.2013.14

An_Ontology-Based_Well-Founded_Proposal_for_Modeling_Resources_and_Capabilities_in_ArchiMate

37 Citations
1 Preprint

Towards an Ontology-Driven Approach for Process-Aware Risk Propagation
Engelberg, G., Fumagalli, M., Kuboszek, A., Klein, D., Soffer, P. & Guizzardi, G., 22 Dec 2022, ArXiv.org, p. 1-8, 8 p.
Research output: Working paper › Preprint › Academic

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Cite this

Azevedo, C. L. B., Iacob, M. E., Andrade Almeida, J., van Sinderen, M. J., Ferreira Pires, L., & Guizzardi, G. (2013). An ontology-based well-founded proposal for modeling resources and capabilities in ArchiMate. In D. Gasevic, M. Hatala, H. R. Motahari Nezhad, & M. U. Reichert (Eds.), Seventeenth IEEE International Enterprise Object Computing Conference, EDOC 2013 (pp. 39-48). IEEE. https://doi.org/10.1109/EDOC.2013.14

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abstract = "The importance of capabilities and resources for portfolio management and business strategy has been recognized in the management literature and on a recent proposal to extend ArchiMate, which includes these concepts in order to improve ArchiMate{\textquoteright}s coverage of portfolio management. This paper presents an ontological analysis of the concepts introduced in that proposal, focusing in particular on the resource, capability and competence concepts. As a result, it proposes well-founded recommendations for improvements, enhancing its suitability and integration possibilities.",

keywords = "SCS-Services, Ontology-based Semantics, EWI-23827, Enterprise Architecture, IR-88240, Capability, ArchiMate, Modelling, METIS-300079, Resource",

author = "Azevedo, {Carlos L.B.} and Iacob, {Maria Eugenia} and {Andrade Almeida}, Jo{\~a}o and {van Sinderen}, {Marten J.} and {Ferreira Pires}, Luis and G. Guizzardi",

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editor = "D Gasevic and M. Hatala and {Motahari Nezhad}, H.R. and M.U. Reichert",

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Azevedo, CLB, Iacob, ME, Andrade Almeida, J, van Sinderen, MJ , Ferreira Pires, L & Guizzardi, G 2013, An ontology-based well-founded proposal for modeling resources and capabilities in ArchiMate. in D Gasevic, M Hatala, HR Motahari Nezhad & MU Reichert (eds), Seventeenth IEEE International Enterprise Object Computing Conference, EDOC 2013. IEEE, USA, pp. 39-48, 17th IEEE International Enterprise Distributed Object Computing Conference, EDOC 2013, Vancouver, Canada, 9/09/13. https://doi.org/10.1109/EDOC.2013.14

An ontology-based well-founded proposal for modeling resources and capabilities in ArchiMate. / Azevedo, Carlos L.B.; Iacob, Maria Eugenia; Andrade Almeida, João et al.
Seventeenth IEEE International Enterprise Object Computing Conference, EDOC 2013. ed. / D Gasevic; M. Hatala; H.R. Motahari Nezhad; M.U. Reichert. USA: IEEE, 2013. p. 39-48.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AB - The importance of capabilities and resources for portfolio management and business strategy has been recognized in the management literature and on a recent proposal to extend ArchiMate, which includes these concepts in order to improve ArchiMate’s coverage of portfolio management. This paper presents an ontological analysis of the concepts introduced in that proposal, focusing in particular on the resource, capability and competence concepts. As a result, it proposes well-founded recommendations for improvements, enhancing its suitability and integration possibilities.

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Azevedo CLB, Iacob ME, Andrade Almeida J, van Sinderen MJ , Ferreira Pires L , Guizzardi G. An ontology-based well-founded proposal for modeling resources and capabilities in ArchiMate. In Gasevic D, Hatala M, Motahari Nezhad HR, Reichert MU, editors, Seventeenth IEEE International Enterprise Object Computing Conference, EDOC 2013. USA: IEEE. 2013. p. 39-48 doi: 10.1109/EDOC.2013.14

An ontology-based well-founded proposal for modeling resources and capabilities in ArchiMate

Abstract

Publication series

Conference

Keywords

Access to Document

Research output

Towards an Ontology-Driven Approach for Process-Aware Risk Propagation

Cite this