INNOVATION PROCESS, DECISION-MAKING, PERCEIVED RISKS AND METRICS: A DYNAMICS TEST
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
Innovation processes result from a series of decisions and these are influenced by the perceived risks and success metrics faced by the decision-maker. Aiming to understand whether innovation risks and success metrics change during and between innovations, four hypotheses were developed and a questionnaire-based survey was adopted targeting managers of mechanically based manufacturers. Respondents were asked to indicate the importance of perceived risks throughout specific innovations for four domains of risk: marketing, technical, organizational and financial. Respondents were also asked to identify changes in type and magnitude of innovation risk and success metric. Descriptive and statistical tests were conducted to analyse the data. The results suggest that innovation risk changes in type and magnitude during and between innovations and success metrics change in type and magnitude during innovation. This study calls for situation specific research to provide helpful advice to practitioners.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| 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