FIRM OWNERSHIP AND THE DETERMINANTS OF SUCCESS AND FAILURE IN NEW PRODUCT DEVELOPMENT: AN EMPIRICAL STUDY OF MANUFACTURING FIRMS IN THE GUANGDONG PROVINCE OF CHINA
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
This paper generates a new perspective on the growing literature in new product development (NPD): firm ownership and the determinants of success and failure of NPD firms operating in a Chinese region which has experienced unprecedented change. Cooper and Kleinschmidt's conceptual framework is utilised. 126 new product projects, from 84 firms were investigated using 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.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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