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dc.contributor.authorPlaza Inchausti, María Beatriz ORCID
dc.contributor.authorGálvez Gálvez, Catalina ORCID
dc.contributor.authorGonzález Flores, Ana María ORCID
dc.contributor.authorJaca Cabarga, Jokin
dc.date.accessioned2018-06-22T08:08:11Z
dc.date.available2018-06-22T08:08:11Z
dc.date.issued2017-01
dc.identifier.citationSustainability 9(1) : (2017) // Article ID UNSP 6es_ES
dc.identifier.issn2071-1050
dc.identifier.urihttp://hdl.handle.net/10810/27667
dc.description.abstractSymbolic knowledge-driven innovations can play an important role in the economic development of cities and regions. Cultural events and infrastructures can act as powerful connectivity engines, generating new connections, rewiring links, and repositioning institutions/cities/regions on the Internet map. Within this framework, this paper aims to contribute to the analytical understanding of culture-led repositioning. For this purpose we perform regression analysis with cultural networks (observational cross-sectional network data) from digital media for a specific cultural case study: the Basque Culinary Center (BCC), a higher education faculty of haute cuisine promoted by the University of Mondragon along with a group of Michelin-starred chefs. Results show that a cultural sector, such as haute cuisine, can contribute to structural changes in connectivity patterns, putting an institution/city/region on the media map. It is the connection (in the online press) of the BCC to the influential Michelin-starred chefs that can fuel the accumulation of press articles (media items) on the BCC; and it is precisely this accumulation of press articles that can impact BCC revenues. Put differently, the co-branding between the influential Michelin chefs and the BCC may have put the BCC on the press map, promoting new student registrations and fostering Basque haute cuisine. The main contribution of this article is a prototype of regression analysis to test repositioning with network data.es_ES
dc.description.sponsorshipThe authors acknowledge the financial support from the Ministry of Economy and Competitiveness (MINECOR 2015 CREA-NETWORK CSO2015-65265-C4-3-R MINECOR-FEDER). The Art4pax Foundation (Guernica) and the Basque Government (SAIOTEK) provided support for this project. We are grateful to BASQUETOUR (Basque Agency of Tourism) and to Silke Haarich (Germany) who kindly read an early draft of the article. They are not responsible for our interpretations.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.relationinfo:eu-repo/grantAgreement/MINECO/CSO2015-65265-C4-3-Res_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectsymbolic repositioninges_ES
dc.subjectcultural economicses_ES
dc.subjectinformation goodses_ES
dc.subjectinferential network analysises_ES
dc.subjectdigital economicses_ES
dc.subjectintervention analysises_ES
dc.subjectsemantic clusteringes_ES
dc.subjectSNAes_ES
dc.subjectdata mininges_ES
dc.subjectcultural brandinges_ES
dc.subjectGuggenheim-museumes_ES
dc.subjectcityes_ES
dc.subjectcitieses_ES
dc.subjectBilbaoes_ES
dc.titleRepositioning through Culture: Testing Change in Connectivity Patternses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).es_ES
dc.rights.holderAtribución 3.0 España*
dc.relation.publisherversionhttp://www.mdpi.com/2071-1050/9/1/6es_ES
dc.identifier.doi10.3390/su9010006
dc.departamentoesEconomía aplicada Ves_ES
dc.departamentoeuEkonomia aplikatua Ves_ES


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2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access
article distributed under the terms and conditions of the Creative Commons Attribution
(CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's license is described as 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).