Transforming regions into innovation ecosystems: A model for renewing local industrial structures
Notice bibliographique
Résumé
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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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,005 |
| Communication savante | 0,006 | 0,005 |
| Science ouverte | 0,001 | 0,005 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,008 | 0,001 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».