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Record W226796466

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

2005· article· en· W226796466 on OpenAlexaboutno aff
Sverker Alänge, Sari Scheinberg

Bibliographic record

VenueChalmers Publication Library (Chalmers University of Technology) · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education and Sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsLatin AmericansIncentiveIndigenousEntrepreneurshipStakeholderInnovation systemCompetence (human resources)Intellectual propertyBusinessEconomic growthDeveloping countryPolitical scienceMarketingPublic relationsEconomicsManagementIndustrial organizationFinance
DOInot available

Abstract

fetched live from 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

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.220
Threshold uncertainty score0.437

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.008
Science and technology studies0.0030.002
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.240
Teacher spread0.224 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2005
Admission routes1
Has abstractyes

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