Competitive Dynamics in Family Firms: Transactional Versus Communal
Bibliographic record
Abstract
Scholars of competitive dynamics have emphasized economic and psychological drivers of rivalry. But in overlooking owner objectives, most have neglected important socioemotional priorities that can shape competitive conduct. Using the example of family firms, a dominant form of enterprise globally, we explore these influences. Drawing on the socioemotional wealth perspective we argue that family firms whose owners prioritize long term generational involvement as a source of socioemotional wealth will favor stakeholder-friendly, socially inclusive communal competition. By contrast, owners favoring current economic benefits for today’s family members will favor more short-term, family oriented transactional competition. We develop propositions differentiating these competitive models in core characteristics, competitive interactions, and repertoires, and draw implications for the classic AMC (awareness, motivation, capability) model of competitive behavior. We conclude that socioemotional priorities manifested by many family firms, require both recontextualization and rethinking of current understandings in competitive dynamics.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".