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dc.contributor.author | Rodríguez Rodríguez, Raúl | es_ES |
dc.contributor.author | Leon, Ramona-Diana | es_ES |
dc.date.accessioned | 2016-11-18T08:28:19Z | |
dc.date.available | 2016-11-18T08:28:19Z | |
dc.date.issued | 2016-01-15 | |
dc.identifier.issn | 2340-5317 | |
dc.identifier.uri | http://hdl.handle.net/10251/74321 | |
dc.description.abstract | [EN] This paper deals with social network analysis and how it could be integrated within supply chain management from a decision-making point of view. Even though the benefits of using social analysis have are widely accepted at both academic and industry/services context, there is still a lack of solid frameworks that allow decision-makers to connect the usage and obtained results of social network analysis – mainly both information and knowledge flows and derived results- with supply chain management objectives and goals. This paper gives an overview of social network analysis, the main social network analysis metrics, supply chain performance and, finally, it identifies how future frameworks could close the gap and link the results of social network analysis with the supply chain management decision-making processes. | es_ES |
dc.description.sponsorship | The research reported in this paper is supported by the European Commission for the project “Engaging in Knowledge Networking via an interactive 3D social Supplier Network (KNOWNET)” (FP7- PEOPLE-2013-IAPP 324408) | |
dc.language | Inglés | es_ES |
dc.publisher | Universitat Politècnica de València | |
dc.relation.ispartof | International Journal of Production Management and Engineering | |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject | Social network analysis | es_ES |
dc.subject | Supply chain management | es_ES |
dc.subject | Metrics | es_ES |
dc.title | Social network analysis and supply chain management | es_ES |
dc.type | Artículo | es_ES |
dc.date.updated | 2016-11-18T07:43:37Z | |
dc.identifier.doi | 10.4995/ijpme.2016.4425 | |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/FP7/324408/EU/Engaging in Knowledge Networking via an interactive 3D Social Supplier Network/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Politécnica Superior de Gandia - Escola Politècnica Superior de Gandia | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Centro de Investigación en Gestión e Ingeniería de Producción - Centre d'Investigació en Gestió i Enginyeria de Producció | es_ES |
dc.description.bibliographicCitation | Rodríguez Rodríguez, R.; Leon, R. (2016). Social network analysis and supply chain management. International Journal of Production Management and Engineering. 4(1):35-40. https://doi.org/10.4995/ijpme.2016.4425 | es_ES |
dc.description.accrualMethod | SWORD | es_ES |
dc.relation.publisherversion | https://doi.org/10.4995/ijpme.2016.4425 | es_ES |
dc.description.upvformatpinicio | 35 | es_ES |
dc.description.upvformatpfin | 40 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 4 | |
dc.description.issue | 1 | |
dc.identifier.eissn | 2340-4876 | |
dc.contributor.funder | European Commission |