Reverse Innovation Networks: Connecting Emerging Economies to the Developed World
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
Reverse innovation (RI) is a relatively recent and understudied phenomenon. It is a product development strategy where an innovation is designed and adopted first in emerging economies before transferring to the West. Research has not comprehensively explained what induces RI. Since RI results in international network building, this research engages network theory to shed light on the network mechanisms likely to position new emerging market SMEs for RI. Illustrations from the sustainable transportation sector provide some applicable clarifying context. Cities around the world are similarly growing rapidly such that firms’ transportation technologies can be interchanged across them, but the technologies may also require some local customization. Overall, the theoretical development suggests that: 1) network centrality in terms of prominence, 2) connectedness to powerful others as defined by eigenvector centrality, and 3) brokerage in accordance with betweenness centrality could be indicative of potential RI in local and international value system networks. This research adds to the literature on the dynamics of globalization.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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