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Transforming regions into innovation ecosystems: A model for renewing local industrial structures

2014· article· en· W2166962958 sur OpenAlex

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venuePublié dans une revue dont le pays d'attache est le Canada.
no affAucune affiliation canadienne : ce travail est invisible pour une base fondée sur la seule affiliation.
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Notice bibliographique

Revue˜The œinnovation journal · 2014
Typearticle
Langueen
DomaineBusiness, Management and Accounting
ThématiqueUniversity-Industry-Government Innovation Models
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésOpen innovationPosition (finance)BusinessBusiness ecosystemInnovation managementFutures contractInnovation systemRegional scienceIndustrial organizationKnowledge managementEconomic geographyMarketingEconomicsSociologyComputer science
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

ABSTRACTThis article elaborates on how to overcome regional structural crises by transforming regions into innovation ecosystems. The article uses a literature review and case study methods to examine the structural change that many regions and cities all over the world are going through, and it investigates how to manage this change and support innovation as efficiently as possible. The ecosystem approach emphasizes the position and roles of local and public actors in developing innovation activity. The case study concentrates on Jyvaskyla, a small industrial city in the region of Central Finland. In 2009, the region faced an economic crisis when the mobile device manufacturer Nokia closed its research center in Jyvaskyla.The case study resulted in a model for building innovation ecosystems. The model consists of authentic dialogue, Triple Helix cooperation, the core organization, and futures studies. The article clarifies the concepts of the innovation ecosystem and hub, and shows how innovations require a special ecosystem where innovations emerge when different actors collaborate and co-create.The research has implications for innovation practices and studies. The results are relevant for many small cities and regions, especially ones with a strong industrial history, whose real challenge is how to transform their economies into innovation economies. The research adds to the studies on innovation environments and supports the creation of world-class innovation ecosystems through deep cooperation among local, regional, and national actors.Keywords: innovation, change management, innovation hub, regional development, structural change, systemic changeIntroductionBoth national innovation systems and regional developers are struggling to meet the demands of the constantly changing global competitive environment. Countries, regions, and cities all over the world are undergoing major structural changes as the economy shifts from manufacturing to services and as waves of sociotechnical development shape the innovation landscape. To manage the structural change and to support innovations as efficiently as possible, local innovation environments need to be developed and strengthened.In this article we elaborate on the concepts of the innovation ecosystem and the innovation hub and present a model for managing regional structural change and development. We have attempted to answer two research questions: 1) How regions and cities be systematically transformed into innovation ecosystems? and 2) How can local industrial structures be renewed? To answer these questions we explored the building process and the special characteristics of innovation ecosystems, and analyzed the changes in innovation activities and policies. As a result we present a systemic model for building modem innovation ecosystems. The next section consists of a conceptual review of innovation ecosystems, hubs, and systemic development. The latter sections consist of the empirical case study and a description of the model for building innovation ecosystems.As our overall aim, we investigate creative hubs in the global economy. We argue that innovations require a special ecosystem that includes top-level universities and research institutions, sufficient financing and a local market, a skilled labor force, specialization as well as cooperation among companies, and global networking. This kind of ecosystem requires the creation of world class innovation hubs where a high quality of life and excellent business possibilities are combined. Such a hub can be built through deep cooperation among local, regional, and national actors. However, in reality relatively few regions have exhibited this kind of renewal capability (Etzkowitz & Klofsten, 2005). Innovation tends to cluster in certain sectors or areas which grow faster and imply stmctural changes (Fagerberg, 2006). Similarly, regional development is shifting towards large clusters, cities, and metropolitan areas, while most of the value creation, R&D activities, and patenting happen in the global-level innovation hubs. …

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Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,757
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,003
Études des sciences et des technologies0,0010,000
Communication savante0,0010,002
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,055
Tête enseignante GPT0,247
Écart entre enseignants0,193 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle