The relationship among informational diversity, dynamic capabilities, and innovative performance in turbulent environments: evidence from R&D teams
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
The study examines the link between informational diversity and innovative performance, with a specific emphasis on the importance of a team's dynamic capabilities in turbulent environments. Utilizing 131 research and development teams, with 289 members from 87 manufacturing firms, our findings reveal that environmental turbulence not only influences the development of dynamic capabilities necessary to leverage diverse information among team members but also amplifies the positive relationship of these capabilities with innovative performance. The results demonstrate the significant roles of both environmental turbulence and dynamic capabilities in the diversity–performance relationship, providing fresh insights into this area of literature. For example, merely possessing diverse informational resources is not correlated with performance improvements. Instead, teams appear to require a catalyst to cultivate dynamic capabilities that effectively transform these resources into innovation.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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