Stewardship or Agency? A Social Embeddedness Reconciliation of Conduct and Performance in Public Family Businesses
Bibliographic record
Abstract
Two contradictory perspectives of family business conduct and performance are prominent in the literature. The stewardship perspective argues that family business owners and managers will act as farsighted stewards of their companies, investing generously in the business to enhance value for all stakeholders. By contrast, the agency and behavioral agency perspectives maintain that major family owners, in catering to family self-interest, will underinvest in the firm, avoid risk, and extract resources. This paper argues that both these views have application but under different circumstances, determined in part by the degree to which the firm and its executive actors are embedded within the family and thus identify with its interests. Stewardship behavior will be less common, and agency behavior will be more common the greater the number of family directors, officers, generations, and votes, and the more executives are susceptible to family influence. These findings are supported among Fortune 1000 firms, as well as among the subsample of those firms that are family businesses.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.013 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".