Motivations for International Open InnovatioN (IOI): the perspective of Quebec SMES in Africa
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Objective: This research aims to understand the motivations for SMEs from developed countries to engage in open innovation (OI) projects with partners in developing countries. \n \nMethodology: We adopted a qualitative approach and studied the case of 16 SMEs from Quebec that successfully carried out OI projects within African countries. \n \nRelevance: Despite the growing body of research on OI within SMEs, the international perspective of OI still needs to be explored. In particular, the context of developing countries has received limited attention, especially the motivations for SMEs from developed countries to undertake OI projects in developing countries. \n \nMain results: The results show that OI projects with African partners allow SMEs to integrate into African markets and acquire knowledge different from that of developed economies. These partnerships strengthen the overall organizational capacity of the SME beyond the acquisition of specific knowledge related to the innovation project. They also include social objectives to improve local communities living conditions. \n \nTheoretical contributions: By addressing the calls for research on OI within developing countries, this article expands the scope of OI in this context. It also contributes to the resource-based view theory by identifying integration within foreign networks as the main strategic resource, motivating SMEs from developed countries to initiate OI projects in developing countries. \n \nManagerial contributions: The study provides insights to SMEs from developed countries about the various reasons for implementing OI projects with partners in developing countries. It also offers them tailored advice to carry out such projects successfully.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it