Social Network Analysis: Applications and New Metrics for Supply Chain Management—A Literature Review

<i>Background</i>: Supply chains, characterized by complexity and sensitivity, require continuous mapping to address challenges, particularly disruptions like the COVID-19 pandemic. In this context, Social Network Analysis (SNA) has proven valuable in analyzing how actors in a network co...

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Main Authors: Ana Isabel Bento, Carla Cruz, Gabriela Fernandes, Luís Miguel D. F. Ferreira
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Logistics
Subjects:
Online Access:https://www.mdpi.com/2305-6290/8/1/15
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author Ana Isabel Bento
Carla Cruz
Gabriela Fernandes
Luís Miguel D. F. Ferreira
author_facet Ana Isabel Bento
Carla Cruz
Gabriela Fernandes
Luís Miguel D. F. Ferreira
author_sort Ana Isabel Bento
collection DOAJ
description <i>Background</i>: Supply chains, characterized by complexity and sensitivity, require continuous mapping to address challenges, particularly disruptions like the COVID-19 pandemic. In this context, Social Network Analysis (SNA) has proven valuable in analyzing how actors in a network connect and create interdependencies. However, some studies suggest that the SNA literature needs to embrace new fields of application and develop innovative metrics. <i>Methods</i>: The aim of this study is to clarify the role and contribution of SNA when characterizing and understanding the challenges of contemporary supply chains. A literature review was conducted to achieve this. <i>Results</i>: The results reveal that SNA has been applied in a wide variety of areas (e.g., manufacturing and construction sectors), with an emerging application in the tertiary sector. Furthermore, the findings demonstrate that metrics related to the network and to nodes have been used repeatedly, highlighting the need for new supply-chain-related metrics, such as the novel concept of semi-directedness. <i>Conclusions</i>: Despite the versatility of SNA, some aspects may limit its application to supply chain management, including shortcomings in data acquisition and the fact that SNA only allows for the visualization of network configurations, thus preventing the capture of nuances that characterize the relationships between the actors involved.
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spelling doaj.art-0aa9ef10b8d4427cadce6e36c13ff1322024-03-27T13:51:35ZengMDPI AGLogistics2305-62902024-02-01811510.3390/logistics8010015Social Network Analysis: Applications and New Metrics for Supply Chain Management—A Literature ReviewAna Isabel Bento0Carla Cruz1Gabriela Fernandes2Luís Miguel D. F. Ferreira3University of Coimbra, CEMMPRE, ARISE, Department of Mechanical Engineering, Coimbra 3030-788, PortugalUniversity of Coimbra, CEMMPRE, ARISE, Department of Mechanical Engineering, Coimbra 3030-788, PortugalUniversity of Coimbra, CEMMPRE, ARISE, Department of Mechanical Engineering, Coimbra 3030-788, PortugalUniversity of Coimbra, CEMMPRE, ARISE, Department of Mechanical Engineering, Coimbra 3030-788, Portugal<i>Background</i>: Supply chains, characterized by complexity and sensitivity, require continuous mapping to address challenges, particularly disruptions like the COVID-19 pandemic. In this context, Social Network Analysis (SNA) has proven valuable in analyzing how actors in a network connect and create interdependencies. However, some studies suggest that the SNA literature needs to embrace new fields of application and develop innovative metrics. <i>Methods</i>: The aim of this study is to clarify the role and contribution of SNA when characterizing and understanding the challenges of contemporary supply chains. A literature review was conducted to achieve this. <i>Results</i>: The results reveal that SNA has been applied in a wide variety of areas (e.g., manufacturing and construction sectors), with an emerging application in the tertiary sector. Furthermore, the findings demonstrate that metrics related to the network and to nodes have been used repeatedly, highlighting the need for new supply-chain-related metrics, such as the novel concept of semi-directedness. <i>Conclusions</i>: Despite the versatility of SNA, some aspects may limit its application to supply chain management, including shortcomings in data acquisition and the fact that SNA only allows for the visualization of network configurations, thus preventing the capture of nuances that characterize the relationships between the actors involved.https://www.mdpi.com/2305-6290/8/1/15social network analysissupply chain managementmetricsriskvisibilityliterature review
spellingShingle Ana Isabel Bento
Carla Cruz
Gabriela Fernandes
Luís Miguel D. F. Ferreira
Social Network Analysis: Applications and New Metrics for Supply Chain Management—A Literature Review
Logistics
social network analysis
supply chain management
metrics
risk
visibility
literature review
title Social Network Analysis: Applications and New Metrics for Supply Chain Management—A Literature Review
title_full Social Network Analysis: Applications and New Metrics for Supply Chain Management—A Literature Review
title_fullStr Social Network Analysis: Applications and New Metrics for Supply Chain Management—A Literature Review
title_full_unstemmed Social Network Analysis: Applications and New Metrics for Supply Chain Management—A Literature Review
title_short Social Network Analysis: Applications and New Metrics for Supply Chain Management—A Literature Review
title_sort social network analysis applications and new metrics for supply chain management a literature review
topic social network analysis
supply chain management
metrics
risk
visibility
literature review
url https://www.mdpi.com/2305-6290/8/1/15
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AT carlacruz socialnetworkanalysisapplicationsandnewmetricsforsupplychainmanagementaliteraturereview
AT gabrielafernandes socialnetworkanalysisapplicationsandnewmetricsforsupplychainmanagementaliteraturereview
AT luismigueldfferreira socialnetworkanalysisapplicationsandnewmetricsforsupplychainmanagementaliteraturereview