Turning Agents into Psychological Principals: Aligning Interests of Non‐Owners through Psychological Ownership
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
Abstract Principals who delegate tasks to agents face the perennial challenge of overcoming agency problems. We investigate whether feelings of ownership among senior managers in the absence of formal ownership can align agents' interests with those of principals, thus turning agents into psychological principals. Using a moderated mediation model, we find that psychological ownership is positively related to company performance through the mediating effect of individual‐level entrepreneurial behaviour. We also find that the effect of psychological ownership on individual‐level entrepreneurial behaviour and, ultimately, company performance is weaker for high levels of monitoring compared to low levels. These findings offer important contributions to agency, psychological ownership, and entrepreneurship literatures.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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