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Data Analysis and Knowledge Discovery  2017, Vol. 1 Issue (7): 13-21    DOI: 10.11925/infotech.2096-3467.2017.0431
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Evaluating Brands of Agriculture Products: A Literature Review
Wang Xueying(), Zhang Zixuan, Wang Hao, Deng Sanhong
School of Information Management, Nanjing University, Nanjing 210023, China
Jiangsu Key Laboratory of Data Engineering and Knowledge Service (Nanjing University), Nanjing 210023, China
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Abstract  

[Objective] This paper analyzes titles of research evaluating brands of agriculture products in China, aiming to summarize the latest developments in this field. [Methods] First, we used the k-means to cluster the retrieved titles. Then, we employed factor analysis, multidimensional scale analysis, and hierarchical clustering analysis to examine the data. [Results] We found the total number of articles published each year, as well as research topics, brand types, evaluation methods and perspectives, and impact factors of these studies. [Limitations] We did not examine keywords and abstracts of the selected literature. [Conclusions] The results of clustering reveals the developments of related research. However, our study does not discuss types of products and methods of interband evaluations.

Key wordsBrand Evaluation of Agricultural Products      K-means Clustering      Hierarchical Cluster Analysis(HCA)      Factor Analysis (FA)      Multidimensional Scaling     
Received: 17 May 2017      Published: 12 July 2017
ZTFLH:  G252  

Cite this article:

Wang Xueying,Zhang Zixuan,Wang Hao,Deng Sanhong. Evaluating Brands of Agriculture Products: A Literature Review. Data Analysis and Knowledge Discovery, 2017, 1(7): 13-21.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.2096-3467.2017.0431     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2017/V1/I7/13

簇编号 篇数 聚类中心词
C_1 18 体系; 指标; 研究; 竞争力; 构建
C_2 27 竞争力; 研究; 农产品; 模型; 企业
C_3 8 例; 农产品; 城市; 分析; 关联; 灰色
C_4 32 研究; 影响; 方法; 联合; 模糊; 模式
C_5 22 消费者; 研究; 延伸; 影响; 产品; 实证
C_6 24 模糊; 综合; 法; 研究; 竞争力; 农产品
C_7 23 模型; 价值; 研究; 视角; 消费者; 理论
1 2 3
K_36 0.799
K_103 0.754
K_101 0.712
K_146 0.706
K_17 0.703
K_102 0.701
K_58 0.697
K_56 0.691
K_154 0.538
K_70 0.438
K_92 0.400 0.716
K_122 0.700
K_79 0.610
K_39 0.590
K_60 0.511 0.585
K_29 0.715
K_89 0.578
K_32 0.563 0.574
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