Permanent record
RIR-3024 · Logged 13 July 2026
Assessing the Role of University-Industry Knowledge Sharing in Emerging Economy Innovation Ecosystems
Open science and open innovation are critical for economic development in emerging markets. This study proposes examining the specific mechanisms that facilitate effective knowledge transfer between universities and private firms.
In plain words
In emerging economies, how can universities and private firms best share knowledge? This study would look for the partnership arrangements that work best, which could help local businesses compete and speed up development.
Primary research question
What specific institutional mechanisms most effectively facilitate knowledge transfer between universities and private firms in emerging economies?
Knowledge gap
What remains worth asking
The source suggests that while the connection is fundamental, it remains useful to test which specific partnership models yield the highest competitive advantage for local businesses.
Potential contribution
Why it may matter
Identifying effective knowledge sharing models can help emerging economies accelerate technological and economic development.
Academic placement
Academic fields and topic tags
Study frame: University-industry partnerships within a specific emerging economy. · Method signals: Comparative Case Study, Quantitative Network Analysis
Possible study pathways
One question, different levels
Professional master’s / MBA
Management of university-industry innovation partnerships.
Doctoral
Systemic analysis of innovation ecosystems in developing nations.
- originality
- Moderate
- methodology
- Moderate
- Data access
- Moderate
- ethics
- Accessible
Quality and audit
76/100 quality
Safeguard-based audit was not recorded under the prior standard.
- The record falls within the borderline quality band (73-77) due to the broad nature of 'institutional mechanisms', which will require significant operationalization in the research design phase.
- The source text supports the general premise of the record as a reasonable extension of the literature review provided in the source paper.
- The audit confidence is high as the record is well-structured and adheres to the required academic standards.
This older record can be checked against the current standard on request. It changes only if every academic gate and independent safeguard passes.
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Research Idea curation
- DOI and bibliographic metadata independently resolved through Crossref
- Crossref abstract retrieved independently
- Exact source location supplied
- AI-inferred direction—not stated by the source authors
The public contributor code contains no name or account email.
APA 7 source
Ottonicar, S. L. C., Arraiza, P. M., & Fabiano, A. (2020). Opening Science and Innovation: Opportunities for Emerging Economies. Foresight and STI Governance, 14(4), 95–111. https://doi.org/10.17323/2500-2597.2020.4.95.111
Paper abstract and discussion context; AI-inferred direction
This is an AI-inferred direction. The source authors did not state it as a recommendation.
Open source ↗