Firm ownership and the determinants of success and failure in new product development: an empirical study of manufacturing firms in the Guandong province of china.
Bibliographic record
Abstract
This paper generates a newperspective on the growing literature in newproduct development (NPD): firmownership and the determinants of success and failure ofNPDfirms operating in a Chinese region which has experienced unprecedented change. Cooper and Kleinschmidt’s conceptual framework is utilised. 126 new product projects, from 84 firmswere investigated \nusing a structured survey. Results are compared with those from studies in Canada, Korea, Japan and Slovenia. Contrary to other studies’ findings, a hostile market environment was found to be facilitative rather than a major de-facilitator. We then further examined NPD activities in three different types of manufacturing firms in Guangdong: state-owned, joint venture/foreign owned and private firms. A comparison with an earlier study conducted in China focusing mainly on state-owned firms is made and the paper concludes by drawing out implications for managers operating in China.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".