Globalization of innovation networks: A model of the process
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
Research on innovation networks has increasingly considered their internationalization as a natural later stage in their evolution, necessitated by augmented competition and acceleration of technology cycles. A complex dynamic ensues in such later stages as firms and other actors in the innovation network begin to pursue their own interest in the innovation space, as it grows from local to global contexts. Grounded in complex system theory, in this paper we present a theoretical model of the interaction between centrifugal and centripetal forces that shape the decision making space in which entrepreneurs and higher management act as interdependent actors in a complex system. We base this model on an analysis of the way in which locally available resources, such as talent and knowledge interact with evolving business models, as technology-based firms face economic and technological uncertainties, and we set forth testable propositions derived from the model with the aim of identifying likely evolutionary paths in other innovation networks, and. Interview data from firms in the Vancouver fuel cell cluster is used to illustrate different components and processes in the model. Policy implications for innovation at the regional level are discussed.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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