The Text Mining and Classification Analyses on The Relationship between Green Supply Chain Management and Closed-Loop Supply Chain Research Trends (2000-2010)

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Title:	The Text Mining and Classification Analyses on The Relationship between Green Supply Chain Management and Closed-Loop Supply Chain Research Trends (2000-2010)
Authors:	Wu, Shian-Ghau;Guo, Jiann-Jong
Contributors:	淡江大學中國大陸研究所
Keywords:	Text Mining;Closed-Loop Supply Chain;Supply Chain Management
Date:	2012-09-01
Issue Date:	2014-10-13 15:13:10 (UTC+8)
Publisher:	Gyeongju-si: Advanced Institute of Convergence Information Technology
Abstract:	In recent years, many researches have been devoted to the topics of the green supply chain management (GSCM) and the closed-loop supply chain (CLSC); however, few have deployed the study of the relationship between the research trend of GSCM and CLSC researches. In fact, grasping the relationship of the research trend between the GSCM and CLSC is imperative for enterprises and researchers. The study aimed at analyzing the trend of the GSCM and CLSC researches from 2000 to 2010. The contribution of the study included the following two points. First, the study found a new way of literature survey by using the text mining method in order to explore the research trend. Second, the study applied the SVM (Support Vector Machine) and random forests classification analysis to explore the relationship between the GSCM and CLSC research trends.
Relation:	International Journal of Digital Content Technology and its Applications 6(23), pp.281-288
Appears in Collections:	[Graduate Institute of China Studies] Journal Article

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