The Legacy of the Samurai: how conflict between shareholder and stakeholder logics in communities affect ventures
Bibliographic record
Abstract
In this study, we explore how institutional complexity in communities shapes the strategic orientation of new ventures. Drawing on a dataset of Japanese ventures, we explore how firms exhibit strategic orientations associated with stakeholder versus shareholder logics as exhibited by the pursuit of employment growth versus financial growth. We exploit large urban environments where a Western shareholder logic became dominant over the traditional stakeholder logic. We find that increasing community engagement results in employment gains associated with the underlying stakeholder logic. We further find that these effects are moderated by the existence of a founder-CEO who is from an urban context. Conceptualizing community engagement and founder habitus as different forms of embeddedness, we show that community engagement fosters an employment-focused strategic orientation only when aligned with the logics of the founder’s origin. We discuss the implications of our findings for scholarship at the interface of institutions and entrepreneurship, and how the content of embeddedness shapes the effects of institutions and the strategic orientations of new venture.
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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 | 0.003 | 0.013 |
| 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 | 0.005 | 0.004 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| 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".