Corporate Governance Research of Family Enterprises 3.0
Notice bibliographique
Résumé
The systematic integration of family business governance research across academic disciplines (entrepreneurship, strategy, finance, and family business) has occurred haphazardly. The first wave of research was driven by finance researchers and focused on the efficiency of corporate governance in family versus non-family firms (Anderson & Reeb, 2003; 2004). The second wave of research was led by research in strategy, finance, and family business and focused on how common best practices in corporate governance could help improve the efficiency of family businesses (Villalonga & Amit, 2009; Miller et al., 2011). While many important insights were gained, the growing complexity of the body of knowledge has led to many sub-discussions focusing on some aspects of family business governance within each discipline. Fewer efforts have been focused on overcoming the mixed and disjointed body of knowledge across disciplines. It has only been more recently, in what we coin the third wave of research, that academics have started to bridge the traditional family business literature with more modern family business research in other disciplines, recognizing that business-owning families different needs and challenges, such as their lived traditions and history, the larger family’s influence over the family owners, and the particular family dynamics, require tailored governance to enable business efficiency (Combs et al., 2020; Jaskiewicz et al., 2017). This symposium will focus on emerging theories, approaches, and insights that offer promise for strengthening and integrating research across disciplines to identify the unique drivers, characteristics, and outcomes of tailored family business governance. Despite the growing recognition that new forums are needed to unify parallel discussions on this topic, opportunities for such dialogue have been scarce. We have rallied academic experts who have led important discussions on different aspects of family business governance over the last few years to fill this gap. Each of these experts will share their perspective before engaging with the other experts and the audience about making contributions that transcend the siloed discussions on family business governance. Our symposium aims to synthesize current discussions across disciplines and develop a research agenda of vital interdisciplinary research opportunities
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,002 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».