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Enregistrement W1581981667

The Social Dimension of Network Ties between Entrepreneurial Firms: Implications for Information Acquisition

2003· article· en· W1581981667 sur OpenAlexvenueno aff
Lynnette Claire

Notice bibliographique

RevueSound Ideas (University of Puget Sound) · 2003
Typearticle
Langueen
DomaineBusiness, Management and Accounting
ThématiqueEntrepreneurship Studies and Influences
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésInterpersonal tiesBusinessElement (criminal law)Multinational corporationGuanxiMarketingExecutive summaryIndustrial organizationPublic relationsChinaSociologyFinanceLaw
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Executive Summary Current research on interorganizational network ties has not explicitly addressed the social elements (business, personal and brokerage) of network ties. We suggest that each element adds to the strength of a given tie and brings unique information benefits. The business element brings relevance; the personal element brings reliability; and the brokerage (or third party) element brings access to non-redundant, timely information. The layering of elements moves a tie from simplex to duplex to multiplex. Because of the costs associated with creating and maintaining ties, not all ties should be multiplex ties. This model helps entrepreneurial firms determine which type(s) of ties they need to create and maintain. Consider the experience of Mr. Lim, a typical Indonesian entrepreneur of Chinese origin: owns and manages a factory making plastic household goods. This relies on machinery transferred to second generation use after its first six years of life in a Hong Kong factory owned by a cousin. He purchases raw materials from a major multinational chemical company, in which two of his nephews are employed, one of them in the pricing department, the other in sales. He sells to three wholesalers in different parts of Java, two of them Hokkienese and one Cantonese by origin. His banker is a large Indonesian bank owned by an Indonesian Chinese of Hokkien extraction, and which employs one of his nephews and two nieces... He meets regularly with other members of the Chinese community socially: firstly, as a board member of a local hospital funded largely by Chinese business support; secondly, through the church which has a large Chinese membership; thirdly, with a group of close friends, all businessmen, who play mahjong together weekly; fourthly, at a series of social occasions such as weddings, dinners for new-born sons... (Redding, 1990: 17-18) Redding (1990) has described how a Chinese-Indonesian entrepreneur runs an international business primarily based on his social network. The entrepreneur's strong network with his business partners is created through a combination of different social elements: personal relationships, business interactions, and brokerage (or third party) relationships. Ties that are introduced and endorsed by individual or organizational brokers bring in new contacts, new opportunities, and ensure the honoring of partners' obligations. Business interactions between him and his partners help them understand each other's needs and capabilities. However, his networks would not be reliable without a strong sense of interpersonal bonding between the parties that serve as a source of identity, support and loyalty. This combination of business relationships, personal bonding and brokerage provides opportunity and creates a high level of trust, allowing the entrepreneur to use such networks to cope with high levels of environmental uncertainty (Redding, 1990). One could argue that the personal nature of the entrepreneur's networks in Redding's (1990) story stems from the social and institutional characteristics of traditional Chinese society. However, it should not be surprising that entrepreneurs employ personal relationships in developing networks in many different contexts (Powell, 1990; Granovetter, 1973; 1985; Burt, 1992; Coleman, 1988; Uzzi, 1997; Larson, 1992). What is striking from the story, however, is the notion that the strength of an interorganizational network tie stems not only from the frequency of interactions between the parties, but, more importantly, from its social elements. Yet these social elements of network ties have not been adequately accounted for in current studies. This raises the research question for this article: how do the three social elements (personal, business, brokerage) strengthen network ties and piovide information benefits to entrepreneurial firms? We define network ties as those ties embedded in on-going relationships (Granovetter, 1985). …

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,013
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,019
Score d'incertitude au seuil0,062

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,013
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0020,003
Études des sciences et des technologies0,0030,002
Communication savante0,0080,007
Science ouverte0,0010,002
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0190,001

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.

Tête enseignante Opus0,018
Tête enseignante GPT0,228
Écart entre enseignants0,210 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2003
Routes d'admission1
Résumé présentoui

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