TY - JOUR
T1 - Supply chain risk driver extraction using text mining technique
AU - Moriizumi, Saxa
AU - Chu, Bongsung
AU - Cao, Haiyan
AU - Matsukawa, Hiroaki
PY - 2011/6/1
Y1 - 2011/6/1
N2 - In this article we extracting supply chain risk drivers, which are the source factors of risk in supply chain risk management (SCRM). The author tried to extract, classify and analyze supply chain risk drivers from existing academic research papers covered by major eight data bases, such as science direct, EBSCOhost, Interscience, oxfordjoumals, informaworld, emeraldinsight, springerlink and Cambridge. 555 papers related to SCRM were colected using keyword search from the data bases. After pre-testing the efficiency of of IBM text mining tool, the "COGNOS CONTENT ANALYTICS", applying the tool to a tipical SCRM survey paper, archived 555 abstracts were analyzed using the tool. We finally got an objective result of SCRM drivers both for process and business operations of SCM eleminating personal biases.
AB - In this article we extracting supply chain risk drivers, which are the source factors of risk in supply chain risk management (SCRM). The author tried to extract, classify and analyze supply chain risk drivers from existing academic research papers covered by major eight data bases, such as science direct, EBSCOhost, Interscience, oxfordjoumals, informaworld, emeraldinsight, springerlink and Cambridge. 555 papers related to SCRM were colected using keyword search from the data bases. After pre-testing the efficiency of of IBM text mining tool, the "COGNOS CONTENT ANALYTICS", applying the tool to a tipical SCRM survey paper, archived 555 abstracts were analyzed using the tool. We finally got an objective result of SCRM drivers both for process and business operations of SCM eleminating personal biases.
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M3 - Article
AN - SCOPUS:84859230407
SN - 1343-4500
VL - 14
SP - 1935
EP - 1945
JO - Information (Japan)
JF - Information (Japan)
IS - 6
ER -