A connectivity model as a potential tool for smart specialization strategies

dc.contributor.authorVirkkala, Seija
dc.contributor.authorMäenpää, Antti
dc.contributor.authorMariussen, Åge
dc.contributor.departmentfi=Ei tutkimusalustaa|en=No platform|-
dc.contributor.facultyfi=Johtamisen yksikkö|en=School of Management|-
dc.contributor.organizationfi=Vaasan yliopisto|en=University of Vaasa|
dc.date.accessioned2020-01-13T11:56:41Z
dc.date.accessioned2025-06-25T12:36:57Z
dc.date.available2020-01-13T11:56:41Z
dc.date.issued2017-01-30
dc.description.abstractThe article contributes to the smart specialization literature by presenting a new approach, connectivity analysis, where Triple Helix (TH) relations (involving universities, companies and government) are at the centre of the entrepreneurial discovery process. Relations between helices may be seen, from the point of departure of proximity, as preconditions of connectivity, or interaction, measured through expectations and experiences. This offers potential solution to two limitations of proximity approach: its static nature and narrow focus on dyadic relationships. The connectivity analysis reveals the extent of mutual expectations, as well as tensions, or gaps. Based on this analysis, the article presents a policy model that is used to map structures of networks and gaps between TH actors. It may also identify strengths, weaknesses and problems. This analysis is used as input to structured dialogues between actors in leading positions in the TH and in smart specialization policy-making and implementation. This approach may lead to policy interventions supporting entrepreneurial discoveries. The model has been developed in partnership with researchers and the Regional Council of Ostrobothnia. The article also presents this case study and demonstrates the use of the connectivity model in practice.-
dc.description.reviewstatusfi=vertaisarvioitu|en=peerReviewed|-
dc.format.bitstreamtrue
dc.format.contentfi=kokoteksti|en=fulltext|-
dc.format.extent37-
dc.format.pagerange661-679-
dc.identifier.olddbid11130
dc.identifier.oldhandle10024/10239
dc.identifier.urihttps://osuva.uwasa.fi/handle/11111/570
dc.identifier.urnURN:NBN:fi-fe202001131948-
dc.language.isoeng-
dc.publisherTaylor & Francis-
dc.relation.doi10.1080/09654313.2017.1283391-
dc.relation.ispartofjournalEuropean Planning Studies-
dc.relation.issn1469-5944-
dc.relation.issn0965-4313-
dc.relation.issue4-
dc.relation.urlhttp://dx.doi.org/10.1080/09654313.2017.1283391-
dc.relation.volume25-
dc.source.identifierWOS: 000395250100006-
dc.source.identifierhttps://osuva.uwasa.fi/handle/10024/10239
dc.subjectconnectivity model-
dc.subjectentrepreneurial discovery process-
dc.subjectgap analysis-
dc.subjectproximity-
dc.subjectsmart specialization-
dc.subjectTriple Helix connectivity-
dc.subject.disciplinefi=Aluetiede|en=Regional Studies|-
dc.titleA connectivity model as a potential tool for smart specialization strategies-
dc.type.okmfi=A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä|en=A1 Peer-reviewed original journal article|sv=A1 Originalartikel i en vetenskaplig tidskrift|-
dc.type.publicationarticle-
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