Critical Factors of Total Logistics Cost: A Survey of Vietnam-Based Logistics Service Providers
Notice bibliographique
Résumé
Since 1995, the integration of Vietnam into regional and global trade agreements, for example ASEAN, WTO and recent free trade agreements (FTA) with South Korea, Japan, EU has boosted the country’s import export volume tremendously. The ASEAN Economic Community (AEC) formed in late 2015 creates not only opportunities but also challenges for the Vietnamese economy in general and Vietnam's logistics sector in particular enter internationally. In addition, CPTPP (CPTPP - Comprehensive and Progressive Agreement for Trans-Pacific Partnership) and EVFTA (EVFTA- EU-Vietnam Free Trade Agreement) will contribute to expanding markets and increasing exports to 11 member countries (CPTPP, also known as TPP11) as well as 27 European Union member countries (EU). Especially when joining in the global organizations, the price of goods is always a decisive factor in the issue of competition with members in the organizations and outside the organizations. Countries always want to have products with high value but competitive prices to survive and create profits with those advantages and challenges.Logistics costs are considered as one of the factors causing high product’s price, especially Vietnam's leading import-export products, which contributes to reduce the competitive advantage of Vietnamese products in the international market. Therefore, there have been some previous studies to find out the factors that increase logistics costs in order to find solutions to reduce Vietnam's logistics costs, increase product value and increase competitiveness advantages. Many concerns about improving the logistics efficiency and effectiveness of these commodity chains in Vietnam recently have urged for more in-depth studies and academic researches about this topic. In this paper, we are going to conduct an empirical research about the critical factors on logistics cost by sending out surveys to Vietnam-based logistics service providers to interview. The SPSS software version 20 was used to check the suitability of six critical factors and their 41 elements and apply the dataset to build up the Analysis of Variance (ANOVA) model. Besides that, the authors also used in-depth interview method on different research subjects including: cargo owners, logistics service providers and associations for listening their difficulties related to logistics factors and finding out the causes for increasing logistics cost. Base on analyzing critical factors and opinions of enterprises, the authors want to suggest some solutions for decreasing logistics cost in Vietnam.
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 | 0,002 | 0,003 |
| 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 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».