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Application of triz methodology to support the emergence of collaborative networks

dc.contributor.authorNavas, Helena
dc.contributor.authorAbreu, António
dc.contributor.authorDias, Ana
dc.date.accessioned2017-01-12T15:14:19Z
dc.date.available2017-01-12T15:14:19Z
dc.date.issued2016-07
dc.description.abstractNowadays, companies operate in markets exposed to the effects of globalization, the opportunities for conducting business are becoming shorter in terms of time as well as the business environment is increasingly volatile. Thus, companies have to start learning to work together in certain areas or skills, to follow different paths other through the stimulation of inter-firm relationships giving rise to organizational models based on networks of collaboration between companies. However, a major challenge with the knowledge that this area faces is related to the need to develop a general theory of collaborative networks. Thus, the establishment of collaborative processes in response to a business opportunity should not follow an ad-hoc process, but instead must be supported by appropriate methodologies to support the process of analysis of technological and organizational systems, identify contradictions and problematic situations and process indicate the likely solution to the found problems. In this context, the Theory of Invention Problem Solving, better known by its acronym TRIZ, aims to aid in the detection of contradictions regarding systems and the generation of creative solutions which eliminate the contradictions found and get major improvements in technological and organizational systems. Innovation is crucial to increasing the efficiency of organizations, to improve competitiveness and profitability, since life cycle of products is becoming shorter. The collaborative chains need to develop innovative solutions progressively with the aim of improving processes. The TRIZ methodology can indicate some guidelines for managers of companies and their network since it The 2016 International Conference on Systematic Innovation July 20-22, 2016, Lisbon, Portugal allows to generate solutions to radical or based on the application of the latest scientific discoveries and experienced little change. The aim of this paper is to contribute to greater agility and sustainability of the processes of formation of collaborative chains to meet business opportunities, introducing the TRIZ methodology supporting the creation and development of collaborative chains.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationNAVAS, Helena V. G.; ABREU, António; DIAS, Ana – Application of triz methodology to support the emergence of collaborative networks. In The 2016 International Conference on Systematic Innovation, Lisboa, Portugal, 20-22 de julho de 2016. International Society of Innovation Methods, 2016. Pp. 1-10.pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.21/6703
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherInternational Society of Innovation Methodspt_PT
dc.subjectcollaborative chainspt_PT
dc.subjectcooperative processespt_PT
dc.subjectinnovationpt_PT
dc.subjectTRIZpt_PT
dc.titleApplication of triz methodology to support the emergence of collaborative networkspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.endPage10pt_PT
oaire.citation.startPage1pt_PT
person.familyNameGuitiss Navas
person.familyNameAbreu
person.givenNameHelena Victorovna
person.givenNameAntónio
person.identifierD-4394-2011
person.identifier1829666
person.identifier.ciencia-id7D1D-CC31-F563
person.identifier.ciencia-idF51F-F42E-3D57
person.identifier.orcid0000-0003-4637-0755
person.identifier.orcid0000-0001-8839-5606
person.identifier.ridD-3964-2014
person.identifier.scopus-author-id6602444272
person.identifier.scopus-author-id57218315486
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication1d0e9509-dc60-4712-a4fe-c162d68607fb
relation.isAuthorOfPublication2e303e99-df37-4381-bf3c-0ab7fc69703c
relation.isAuthorOfPublication.latestForDiscovery2e303e99-df37-4381-bf3c-0ab7fc69703c

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