Institutional differences and integration difficulties
Notice bibliographique
Résumé
Purpose The purpose of this paper is to examine how the location of a firm’s headquarters and component sourcing impact a firm’s responsiveness in a product-harm crisis in local market. Design/methodology/approach The authors collected data on 1,251 vehicle recalls from 12 manufacturers, six in the USA, three in Germany, and three in Japan. All of the recalls occurred in the USA between 2002 and 2010. The time the product was first released into the marketplace was used as the starting point while the time the recall was initiated (if at all) was used to record the probability of the product recall over time. Specifically, a survival analysis with an accelerated failure time model was employed to examine the speed with which a product is recalled. The authors examined the impact of foreign composition using information provided by the American Automobile Labeling Act, which lists the proportion of each vehicle that is composed of domestic parts (USA/Canada) and foreign parts. Organizational characteristics (i.e. size, market share, assets, net income, and reputation) and recall size (i.e. number of affected vehicles) that might have an effect on time to recall were controlled for. Findings The authors found that firms headquartered outside the local market would take longer to issue a product recall than firms that were headquartered in the local market. Firm headquartered outside the local market can reduce the time taken to recall by sourcing parts from the local marketplace, rather than from abroad. Interestingly, even local firms are affected by the location of component sourcing, such that they take longer to issue a recall if they sourced parts from abroad. Originality/value Research in international marketing has examined the benefits of integration to firms, but has not studied the risks of integration. By highlighting the challenges of managing institutional differences and integration difficulties, the authors show that location of headquarters and the location from where components are sourced have an effect on firm responsiveness in product-harm crises. Further, the authors build on the global supply chain management literature that has shown the effect of upstream activities (i.e. foreign production) on downstream activities (i.e. product quality). Specifically, the authors show that upstream activities can not only affect product quality, but also the ability of firms to respond to those product qualities in a timely fashion.
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 | 0,001 |
| 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 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».