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Organizational engineering processes: integration of the cause-and-effect analysis in the detection of exception kinds

2019Comunicação em conferência Acesso aberto
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datacite.subject.fosCiências Naturais::Ciências da Computação e da Informação
datacite.subject.fosCiências Sociais::Economia e Gestão
dc.contributor.authorPacheco, Dulce
dc.contributor.authorAveiro, David
dc.contributor.authorTenório, Nelson
dc.contributor.authorPacheco, Dulce
dc.contributor.authorAveiro, David
dc.date.accessioned2026-06-05T14:50:36Z
dc.date.available2026-06-05T14:50:36Z
dc.date.issued2019
dc.description.abstractEnterprises are dynamic systems that struggle to adapt to the constant changes in their environment. The complexity of these systems frequently originates inefficiencies that turn into the loss of resources and might even compromise organizations’ viability. Control and G.O.D. (sub)organizations allow enterprises to specify measures and viability norms that help to identify, acknowledge, and handle exceptions. Organizational engineering processes are deployed to treat dysfunctions within the G.O.D. organization but often fail to eliminate or circumvent the root cause of it. In this paper, we propose an extension in the model to allow a thorough investigation of the root causes of dysfunctions within the organizational engineering processes. Grounded on the seven guidelines for Information System Research in the design-science paradigm, we claim that the organizational engineering process should be supplemented with a systematic and broader investigation of causes, namely the Ishikawa approach of cause-and-effect analysis. The main contributions of this paper are the improvement of the organizational engineering process for handling unexpected exceptions in reactive change dynamics and the freely available Dysfunctions Bank with common dysfunctions and its probable causes. This work should trigger a reduction in the number of organizational dysfunctions and help to keep updated the organizational self and the organization’s ontological model.eng
dc.identifier.citationPacheco, D., Aveiro, D. and Tenório, N. (2019). Organizational Engineering Processes: Integration of the Cause-and-Effect Analysis in the Detection of Exception Kinds. In Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - KEOD; ISBN 978-989-758-382-7; ISSN 2184-3228, SciTePress, pages 479-486. DOI: 10.5220/0008364904790486
dc.identifier.doi10.5220/0008364904790486
dc.identifier.isbn978-989-758-382-7
dc.identifier.issn2184-3228
dc.identifier.urihttp://hdl.handle.net/10400.13/7799
dc.language.isoeng
dc.peerreviewedno
dc.publisherSCITEPRESS - Science and Technology Publications
dc.relation.ispartofProceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectCausal analysis
dc.subjectIshikawa diagram
dc.subjectOrganizational change
dc.subjectOrganizational engineering
dc.subjectOrganizations
dc.subject.
dc.subjectFaculdade de Ciências Exatas e da Engenharia
dc.titleOrganizational engineering processes: integration of the cause-and-effect analysis in the detection of exception kindseng
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2019
oaire.citation.conferencePlaceVienna, Austria
oaire.citation.endPage486
oaire.citation.startPage479
oaire.citation.titleProceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019)
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.affiliation.nameUniversidade da Madeira
person.familyNamePacheco
person.familyNameAveiro
person.givenNameDulce
person.givenNameDavid
person.identifier.orcid0000-0002-3983-434X
person.identifier.orcid0000-0001-6453-3648
relation.isAuthorOfPublication7bdede5e-2f02-4ef0-857e-fb640b234117
relation.isAuthorOfPublication912fd94f-75f0-4b1d-a409-30182865b319
relation.isAuthorOfPublication.latestForDiscovery7bdede5e-2f02-4ef0-857e-fb640b234117

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