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SCOPUS 학술저널

Evaluation on Development Performances of E-Commerce for 50 Major Cities in China

중국 주요 50개 도시의 전자상거래 발전성과에 대한 평가

Purpose – In this paper, the degree of similarity and dissim-ilarity between pairs of 50 major cities in China can be shown on the basis of three evaluation variables(internet businessman index, internet shopping index and e-commerce development in-dex). Dissimilarity distance matrix is used to analyze both sim-ilarity and dissimilarity between each fifty city in China by calcu-lating dissimilarity as distance. Higher value signifies higher de-gree of dissimilarity between two cities. Cluster analysis is ex-ploited to classify 50 cities into a number of different groups such that similar cities are placed in the same group. In addi-tion, multidimensional scaling(MDS) technique can obtain visual representation for exploring the pattern of proximities among 50 major cities in China based on three development performance attributes. Research design, data, and methodology – This research is performed by the 2013 report provided with AliResearch in China(1/1/2013~11/30/2013) and utilized multivariate methods such as dissimilarity distance matrix, cluster analysis and MDS by using CLUSTER, KMEANS, PROXIMITIES and ALSCAL pro-cedures in SPSS 21.0. Results – This research applies two types of cluster analysis and MDS on three development performances based on the 2013 report of Aliresearch. As a result, it is confirmed that grouping is possible by categorizing the types into four clusters which share similar characteristics. MDS is exploited to carry out positioning of both grouped locations of cluster and 50 major cities belonging to each cluster. Since all the values corresponding to Shenzhen, Guangzhou and Hangzhou(which belong to cluster 1 among 50 major cities) are very large, these cities are superior to other cities in all three evaluation attributes. Twelve cities(Beijing, ShangHai, Jinghua, ZhuHai, XiaMen, SuZhou, NanJing, DongWan, ZhangShan, JiaXing, NingBo and FoShan), which belong to cluster 3, are inferior to those of clus-ter 1 in terms of

1. 서론

2. 연구방법

3. 실증분석 결과

4. 결론

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