Product competitiveness analysis for e-commerce platform of special agricultural products

2017 2nd International Seminar on Advances in Materials Science and Engineering

Wan, Fucheng^1 ; Ma, Ning^1 ; Yang, Dongwei^2 ; Xiong, Zhangyuan^1

Northwest University for Nationalities, National Languages Information Technology Research Institute, Lanzhou city, Gansu province, China^1

Northwest University for Nationalities, School of Journalism and Communication, Lanzhou city, Gansu province, China^2

关键词: Analysis method;    Analytical method;    Competitiveness evaluations;    Competitiveness indices;    Evaluation factor;    Linear regression methods;    Principal component factor analysis;    Product competitiveness;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/231/1/012024/pdf
DOI  :  10.1088/1757-899X/231/1/012024

来源: IOP

【 摘 要 】

On the basis of analyzing the influence factors of the product competitiveness of the e-commerce platform of the special agricultural products and the characteristics of the analytical methods for the competitiveness of the special agricultural products, the price, the sales volume, the postage included service, the store reputation, the popularity, etc. were selected in this paper as the dimensionality for analyzing the competitiveness of the agricultural products, and the principal component factor analysis was taken as the competitiveness analysis method. Specifically, the web crawler was adopted to capture the information of various special agricultural products in the e-commerce platform - - chi.taobao.com. Then, the original data captured thereby were preprocessed and MYSQL database was adopted to establish the information library for the special agricultural products. Then, the principal component factor analysis method was adopted to establish the analysis model for the competitiveness of the special agricultural products, and SPSS was adopted in the principal component factor analysis process to obtain the competitiveness evaluation factor system (support degree factor, price factor, service factor and evaluation factor) of the special agricultural products. Then, the linear regression method was adopted to establish the competitiveness index equation of the special agricultural products for estimating the competitiveness of the special agricultural products.