Social Capital and Inequality in Immigrant Entrepreneurship: Pathways and Barriers
Notice bibliographique
Résumé
Immigrant entrepreneurs who belong to marginalized populations face significant financial, social, cultural, and legal barriers (Hernandez, 2024). While founding and sustaining a new business is not an equal experience for all (Guzman & Kacperczyk, 2019), entrepreneurship offers marginalized people a pathway to greater economic inclusion and social mobility (Min & Bozorgmehr, 2003; Hwang & Phillips, 2023; Rider et al., 2023). Furthermore, despite the risks associated with new enterprises, immigrants are more likely than their native-born counterparts to become entrepreneurs (Kerr & Kerr, 2020). Considering this evidence, entrepreneurship has the potential to offer marginalized immigrants a pathway to economic inclusion and social mobility. As organizational scholars and members of an unequal society with growing anti-immigrant sentiment, it is crucial to investigate the mechanisms that could reduce barriers to entrepreneurial entry and growth for marginalized immigrants. The literature on social capital identifies it as a powerful resource facilitating entrepreneurial success (Burt, 1992; Lin et al., 2001; Adler and Kwon, 2002; Samila & Sorenson, 2017; Portes & Sensenbrenner, 1993). However, in the context of immigrant entrepreneurship, the role of social capital is far from straightforward.. Immigrants, being foreign to the host country, often lack access to the social networks that facilitate entrepreneurial entry, especially in the absence of resource-rich ethnic enclaves (Portes & Stepick, 1985). Even when such networks exist, cultural norms or an overreliance on insular perspectives within these enclaves can limit entrepreneurial ambition and growth (Portes, 2014). Finally, first-order barriers such as marginalized identities may further constrain immigrants’ ability to cultivate resourceful social ties. This symposium tackles such intricacies in the literature to advance our understanding of social capital and inequality in the context of immigrant entrepreneurship. It will feature research that explores how social capital shapes inequities in immigrant entrepreneurship and examines interventions to mitigate these disparities. Key questions addressed include: a) Can social capital offset financial inequities that hinder entrepreneurial entry? b) How do multiple overlapping identities of people influence their engagement with entrepreneurial ecosystems and networks? c) What interventions, such as macro policy changes or digital tools, can reduce the social network-driven inequities faced by immigrant entrepreneurs? The Impact of Financial Constraints on Entrepreneurship: The Moderating Role Of Social Capital Author: Inara Tareque; Columbia Business School Navigating Identity Networks in Entrepreneurial Ecosystems Author: Nada Basir; University of Waterloo Author: Bessma Momani; University of Waterloo Author: Melissa Finn; University of Waterloo Author: Leslie Nichols; Wilfrid Laurier University The Entrepreneurial Dynamics of Trade Liberalization: Immigrants as Agents of Change Author: Ashlee Li; Author: Astrid Marinoni; Georgia Institute of Technology A Digital Refuge: How WhatsApp Offers Stability Amidst Mobility to NYC Asylum Seekers Author: Sandra Portocarrero; The London School of Economics & Political Science Author: Rohini Jalan; McGill University
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 | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| 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 ».