New Relationships between Japanese and Taiwanese Electronics Firms
Bibliographic record
Abstract
This paper examines the cultural dimensions of production networks between Japanese and Taiwanese firms. Conceptually, we argue that, due to historical and cultural ties between the two countries, as well as long-standing associations with Taiwanese suppliers, Japanese lead firms have deepened their relationships as Taiwan has entered a more technologically based stage of development. Taiwan has also been pivotal in Japan–Taiwan–China relations because of its cultural as well as geographic proximity to the two economic giants. Empirically, the analysis draws on interviews with sixteen Japanese electronics companies in Taipei and Hsinchu Science City, as well as secondary data concerning Japanese trade and investment in Taiwan. We contend that Japanese lead firms have moved to a position of insiders and partners with their Taiwanese suppliers in the information, technology, and communications sector. In addition, Japanese electronics firms now see Taiwan as a viable bridge to production and markets in China, while corporate relations are moving towards heterarchical or matrix arrangements, away from the hierarchical flying geese model. The study notes that there are challenges and limits to these new forms of relations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".