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Enregistrement W226796466

Innovation Systems in Latin America: Examples from Honduras, Nicaragua and Bolivia

2005· article· en· W226796466 sur OpenAlex

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Notice bibliographique

RevueChalmers Publication Library (Chalmers University of Technology) · 2005
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueHigher Education and Sustainability
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésLatin AmericansIncentiveIndigenousEntrepreneurshipStakeholderInnovation systemCompetence (human resources)Intellectual propertyBusinessEconomic growthDeveloping countryPolitical scienceMarketingPublic relationsEconomicsManagementIndustrial organizationFinance
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The main purpose of the study was to identify and analyze the current status of local innovation and cluster activities in three Latin American countries, Bolivia, Honduras and Nicaragua. This included the goals to identify key stakeholders active in innovation and to analyze the relationships between the various stakeholder and cluster groups. More specifically we were also interested in analyzing the university’s role in innovation activities. Finally, our aim was to identify supports and hinders to innovation activities and the emergence of innovation clusters. \nThe cluster model (based on Sölvell et al. 2003) that was used for analysis was a good starting point – but not sufficient. We needed to adjust and adapt it during our research process and had to add 4 key stakeholders which were missing: Unions; Aid community; Development banks; and Indigenous communities. Using our interview data from Bolivia, Honduras and Nicaragua for the analysis, it was found that there were many similarities across the three countries. There is limited sharing of research results and lack of diffusion of competence, learning and know-how. There is a lack of research culture (incentives, funding) and research and science is not on the national agenda or connected to industry. Limited resources, risk avoidance and low esteem in locally grown inhibit local innovation and entrepreneurship. Intellectual property rights (IPR) are poorly developed and lack links to business development.\nPublic universities have most of the state research money as well as money from donors but have very limited contact with industry and there is a lack of trust. Some great examples of research being conducted were identified where financing for research and advanced degrees had been provided by international donor organisations. However, the researchers act as islands so research is not visible even internally at the universities. There is a lack of research culture where teachers have no time for research, and promotion/prestige does not value research. The research that exists is not linked to the market and there is no commercialization of research. Private universities are a recent phenomenon, during the last 10 years, primarily focused on education and typically with excellent contacts with industry, but with a few exceptions, without any research tradition. A few examples of well-functioning and market driven research institutes were identified. Industry is in general not making innovation and do not budget for innovation and R & D activities, although we found good examples of innovative activities in all three countries - primarily in organisation innovation and product innovation. Government policies and institutions for Innovation, Science and Technology are either non-existent or weak. Some innovative approaches were identified, e.g. in bidding system to link suppliers and producers in agro business (Bolivia), financing innovation in SMEs and support to cluster development (Nicaragua) and financing of micro businesses (Bolivia, Nicaragua). In the financial sector, traditional banks do not support SMEs and do not give loans for innovation. Instead, international donor agencies are important actors when it comes to financing, but they have their own agendas, which do not necessarily coincide with National goals. Various types of organizations, including NGOs, perform the role of linking organizations and the services provided can include financing which make them a stronger player. Laws and regulations are sometimes creating disincentives for local entrepreneurs, for example tax incentives for foreign investment, Tax free zones create islands of industry, without interaction with the local business or society. The Intellectual Property systems are weak with limited capacity to evaluate intellectual assets, mainly foreigners (90%) apply for patents and universities offer no courses or information to students or teachers on IP and IP processes. \nThe above study provided input for an action learning project with the main goal of introducing and developing a process that will increase awareness, cooperation and debate on the role and opportunity that ‘innovation clusters’ may have in the development of innovations. A sub-goal was to increase the connectivity between the key stakeholders active in innovation activities both locally in within the wider region. As part of this action learning project various stakeholders were invited to meet and discuss the preliminary findings in a workshop at the end of our visit to each of the Latin American countries. Finally, a group of stakeholders from each country were invited to participate in the 7th Global Innovation Cluster Conference in Ottawa, Canada.\n

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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)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,734
Score d'incertitude au seuil0,658

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,003
Études des sciences et des technologies0,0000,001
Communication savante0,0000,002
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
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 Opus0,015
Tête enseignante GPT0,240
Écart entre enseignants0,224 · 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