Suppliers' network analysis under the perspective of structural, relational and cognitive embeddedness: an exploratory study
| Autor: | Juliana Sayuri Kurumoto, Guilherme Rotta Capioto, Syntia Lemos Cotrim, Danilo Hisano Barbosa |
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| Rok vydání: | 2019 |
| Předmět: |
Supplier management
Knowledge management Embeddedness business.industry Computer science Exploratory research Cognition Single-subject design Industrial and Manufacturing Engineering Supplier relationship management lcsh:Manufactures Enterprise networks business Centrality Social network analysis lcsh:TS1-2301 Network analysis |
| Zdroj: | Production, Vol 29, Iss 0 (2019) Production v.29 2019 Production Associação Brasileira de Engenharia de Produção (ABEPRO) instacron:ABEPRO Production, Volume: 29, Article number: e20180041, Published: 18 FEB 2019 |
| ISSN: | 1980-5411 0103-6513 |
| Popis: | Paper aims To analyze and characterize a supplier network under the analytical perspective of structural, relational and cognitive embeddedness. Originality Analysis of a network of suppliers in a soft drink industry using Social Network Analysis (SNA) techniques. Research method The case study was used as a research strategy. The analysis of structural perspectives, relational and cognitive embeddedness and their respective variables were considered, as well as measures of centrality and density of the network of suppliers. Main findings The analysis allowed to establish the characteristics of the network of suppliers regarding structural, relational and cognitive embeddedness and their respective variables. However, it should be noted that the manuscript addresses a single case study, and it is not possible to generalize the results obtained. Implications for theory and practice The findings of this paper can be used as a basis to understand how to use the main metrics of social network analysis to investigate the structural, relational and cognitive characteristics of a company and your network. |
| Databáze: | OpenAIRE |
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