Structural and relational influences on the role of reward interdependence in product innovation
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 study examines the relationship between reward interdependence, or the extent to which managers' rewards are tied to the performance of colleagues in other functions, and product innovation. It also considers how structural and relational features of the organizational context might moderate this relationship. Our analysis of a sample of C anadian‐based firms reveals a positive relationship between reward interdependence and product innovation that is invigorated at higher levels of job rotation, social interaction, and interactional fairness, but we find no evidence of a moderating effect of decision autonomy. Consistent with a systems approach to organizational contingencies, we also find that the reward interdependence–product innovation relationship is stronger when the organization's context comes closer to an ‘ideal’ holistic configuration that is most conducive to knowledge exchange within the organization, with a more prominent role played by the relational sub‐context (social interaction and interactional fairness) than the structural sub‐context (job rotation and decision autonomy). The findings have important implications for innovation research as they shed light on how the extent to which individual rewards are tied to collective performance can be channeled to enhance innovation pursuits.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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