Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/7526
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Title: Using social network analysis to combat counterfeiting
Authors: Ting, SL
Tsang, AHC
Issue Date: 2013
Abstract: Counterfeiting undoubtedly produces great harm to companies and the society. This article presents a study on the application of social network analysis (SNA) to combating this problem. The supply chain can be viewed as a network of parties involved in delivering value to consumers. Normally, SNA is used to analyse relationships between people. In this study, it is utilised to analyse supply chains for the identification of parties that are likely to be involved in counterfeiting activities. After identifying the suspects in a supply chain, the company can deter and detect counterfeiting by tightening surveillance on these parties. The feasibility of using SNA as an anti-counterfeiting tool is investigated in a case study, the findings of which indicate that SNA can effectively help companies to prevent sources of counterfeit products from infiltrating into the supply chain. Problematic parties can be identified by characterising the following features: high degree of centrality, high closeness of centrality and high betweenness of centrality.
Keywords: Anti-counterfeiting
RFID
Social network analysis
Supply chain management
Publisher: Taylor & Francis
Journal: International journal of production research 
ISSN: 0020-7543
EISSN: 1366-588X
DOI: 10.1080/00207543.2013.861947
Rights: © 2013 Taylor & Francis
This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Production Research on 29 Nov 2013, available online: http://www.tandfonline.com/10.1080/00207543.2013.861947
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