A Study on the Technological Innovations in the Aircraft Manufacturing Industry -Focusing on the Technological Analysis of Embraer, the World's Number One Manufacturer of Small and Medium-sized Aircraft-
Bibliographic record
Abstract
Boeing and Airbus shared the global aircraft manufacturing market two decades ago, while several domestic manufacturers such as Brazil's Embraer and Canada's Bombardier manufactured a small number of small and midium-sized aircraft. But, growing sales of aircraft manufacturing market, the rapid progress of regional anilines and low-cost carriers, and furthermore, the growing demand for private-jets have led to the explosion in the popularity of small and midium-sized aircraft worldwide over the last decades. These changes in the market enable Embraer to upgrade his position in the market quickly enough to threaten the market leaders, Boeing and Aircraft which both failed to make the expected profits recently. Embraer became the world's third largest aircraft manufacturer after Boeing and Airbus through incessant innovation in times of crisis. As a manufacturer of small and medium-sized aircraft, it has developed into the world’s number one company. In the recent 20 years, at a time of change in the aviation industry, Embraer has pursued Boeing and Airbus, which are existing market leaders through disruptive innovation, while posing a destructive threat. Embraer completed the privatization in 1994, and within the last 20 years it has reached the current position through innovation in the supply chain due to accumulation of technological capabilities, system integration and risk partnership. It will be significant to look at recent trends and predict the future directions of the aircraft manufacturing industry through the strategic selection and technological analysis of Embraer, the world's highest manufacturer of small and medium-sized aircraft.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".