Introducción del contexto en la investigación SEW: retos y oportunidades / Introducing context in SEW research: challenges and opportunities
Notice bibliographique
Résumé
Based on a sample of family firms from five diverse countries, this empirical exploratory study investigates noneconomic driver represented by socioemotional wealth (SEW) across cultures. SEW refers to the pursuit of affective endowment by family firms and has been recently emphasized to be the main reference point for family firms. Despite the popularity of SEW, there has been concerns regarding its validity as a construct. Since SEW is deeply rooted in family firms; it is thus suggested to be highly influenced by contextual settings, this study suggests that one way to enhance SEW research is by contextualizing it. A random sample was obtained from family firms in Saudi Arabia, Spain, Mexico, Vietnam and Canada through a number of relevant data bases. The data was collected from chairmen and CEOs of firms who were also family members. A multi-group comparison and a linear regression were performed to explore the differences in SEW across cultures as well as the moderating effect of cultures on the relationship between SEW and performance. Findings suggests that SEW varies across cultures. Some SEW dimensions were found to be different across some cultural groups, while the “Emotional Attachment” showed to be consistently different across all cultural groups. The research also shows that culture moderates the relationship between SEW and performance. It was found to be significant and positive in societies with high power distance and low individualism. It was found to be insignificant in cultures characterized with low power distance and high individualism. The research contributes to the SEW research by exploring the relationship between context, SEW and performance thus helping in highlighting possible reasons of why previous research has been inconclusive regarding SEW and its relationship to performance. By comparing SEW across cultures, we notice the possibility that the underlying logic of the SEW approach might not be standard across contexts. To the researcher’s knowledge, contextualizing SEW research as a way to enhance knowledge of the field and addressing its criticism, has not been done despite its high relevance. Thus, the research addresses this perceived gap. In addition, the research makes a methodological contribution by confirming measurement invariance of the FIBER conceptualization of SEW, thus confirming its universal applicability. Finally, this research contributes to the understanding of the heterogeneity of family firms by highlighting the differences of SEW among them which is more evident across cultures. This study asserts the importance of contextualizing SEW research by demonstrating the variation in SEW and in its relationship with firm’s outcomes. It also provides samples of how to conduct context by sampling and context by comparing research and offers them a validated conceptualization of SEW construct. It opens new avenues of research by providing research agenda on how to further develop the research through context by theorizing.
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 | 0,011 | 0,009 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,004 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,013 | 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 ».