Utilize este identificador para referenciar este registo: http://hdl.handle.net/10071/34091
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dc.contributor.authorDuarte de Almeida, I.-
dc.contributor.authorBoas da Silva, J. M.-
dc.contributor.editorJagjit Singh Srai-
dc.date.accessioned2025-04-03T09:16:23Z-
dc.date.available2025-04-03T09:16:23Z-
dc.date.issued2019-
dc.identifier.citationDuarte de Almeida, I., & Boas da Silva, J. M. (2019). Soft systems as a helping tool in the assessment of sustainable business practices and risks in a socio-economic-environmental context. In J. S. Srai (Ed.), Proceedings of the 23rd Cambridge International Manufacturing Symposium (pp. 1-6). Centre for International Manufacturing (CIM). https://doi.org/10.17863/CAM.45880-
dc.identifier.isbn000000000-
dc.identifier.urihttp://hdl.handle.net/10071/34091-
dc.description.abstractSustainability indicators (SI) are fundamental instruments in business practices towards evaluation of general sustainability, its inherent risks, or the interaction of socioeconomic perspectives in an environmental sustainability context. The complex nature of the models applied call for a revision of the scientific methodologies used in the production of indicators addressing measurability, fitting them to a different nature of the problem characterised by (i) multiple, circular, conflictual relations in a web of heterarchical relations; (ii) the social component relevance; (iii) the existence of an observer bias and interest, stakeholders pressure, interaction with the phenomenon and interpretation, establishing unrepeatable situations that can only be analytically discussed in different contexts. Multi criterion alternatives are advocated and one is briefly characterised: the Soft Systems Methodology (SSM). Its advantages are summarised. The logic and impact of SSM in a classical evaluation process based on the need for feedback are also discussed. The conclusion argues in favour of SSM contribution for scientific knowledge, focusing on validity, in comparison with other methodologies utilised in the Economic, Social, and Environmental Impact Assessment of business practices.eng
dc.language.isoeng-
dc.publisherCentre for International Manufacturing (CIM)-
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FSOC%2F04624%2F2013/PT-
dc.relation.ispartofProceedings of the 23rd Cambridge International Manufacturing Symposium-
dc.rightsopenAccess-
dc.subjectBusiness responsibilityeng
dc.subjectSustainability Indicators (SI)eng
dc.subjectSoft Systems Methodology (SSM)eng
dc.titleSoft systems as a helping tool in the assessment of sustainable business practices and risks in a socio-economic-environmental contexteng
dc.typeconferenceObject-
dc.event.titleShaping the future of global manufacturing supply networks: Delivering sustainable value for producers and consumers through digital platforms-
dc.event.typeConferênciapt
dc.event.locationCambridgeeng
dc.event.date2019-
dc.peerreviewedyes-
dc.date.updated2025-04-03T10:15:55Z-
dc.description.versioninfo:eu-repo/semantics/publishedVersion-
dc.identifier.doi10.17863/CAM.45880-
dc.subject.fosDomínio/Área Científica::Ciências Sociais::Economia e Gestãopor
dc.subject.fosDomínio/Área Científica::Ciências Sociais::Sociologiapor
iscte.subject.odsTrabalho digno e crescimento económicopor
iscte.subject.odsCidades e comunidades sustentáveispor
iscte.subject.odsProdução e consumo sustentáveispor
iscte.identifier.cienciahttps://ciencia.iscte-iul.pt/id/ci-pub-68075-
Aparece nas coleções:BRU-CRI - Comunicações a conferências internacionais
DMOG-CRI - Comunicações a conferências internacionais

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