Please use this identifier to cite or link to this item:
http://hdl.handle.net/10553/73688
Title: | Social Networks and Supply Chain Management in Fish Trade | Authors: | Pedroza-Gutiérrez, Carmen Hernández, Juan M. |
UNESCO Clasification: | 5306 Economía del cambio tecnológico 531105 Marketing (comercialización) 550204 Teorías y métodos |
Keywords: | Fish Trade Knowledge Base View Qualitative Research Seafood Supply Chain Social Networks |
Issue Date: | 2020 | Journal: | SAGE Open | Abstract: | This study aims to construct a theoretical framework to analyze the elements of the network structure and the relationship system within the seafood supply chain. The scope of the investigation is to evaluate how these elements influence the flow of products and the efficiency of the seafood supply chain and why these social interactions can create value and enhance competitive advantage. The model combines the resource- and knowledge-based view and the social network analysis applied to seafood supply chains. To demonstrate the application of the model, two theoretical examples and a real case study of the Mercado del Mar in Guadalajara, Mexico, are used. Primary data are obtained from semi-structured interviews, social network analysis metrics, and qualitative analysis. Findings are based on the analysis of theoretical examples and must be considered with caution. Nevertheless, the observations in the examples and case study provide new arguments to the relationship between the pattern of interrelationship and the efficiency of a supply chain. This study emphasizes the necessity of combining quantitative and qualitative analyses to understand and explain real-life supply networks. | URI: | http://hdl.handle.net/10553/73688 | DOI: | 10.1177/2158244020931815 | Source: | SAGE Open [EISSN 2158-2440],v. 10 (2), (Enero 2020) |
Appears in Collections: | Artículos |
SCOPUSTM
Citations
11
checked on Nov 17, 2024
WEB OF SCIENCETM
Citations
12
checked on Nov 17, 2024
Page view(s)
87
checked on Jan 27, 2024
Download(s)
125
checked on Jan 27, 2024
Google ScholarTM
Check
Altmetric
Share
Export metadata
Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.