Title: Research on Chinese well-known e-commerce enterprises' innovation ability based on real comment
Authors: Shufang Li; Changbing Jiang; Liang Li
Addresses: School of Accounting and Finance, Zhejiang Vocational College of Commerce, Hangzhou 310053, China ' School of Management Science and Engineering, Contemporary Business and Trade Research Center, Zhejiang Gongshang University, Hangzhou 310018, China ' School of Management Science and Engineering, Zhejiang Gongshang University, Hangzhou 310018, China
Abstract: Based on the real comments from Jingdong Mall, T-mall and other e-commerce platforms as for the data resource, according to analysis to the customers' online shopping comments' vocabularies, obtained 11 indicators which are constituted e vocabularies, obtained 11 indicators which are constituted e-commerce platform customer satisfaction index system and the satisfaction indicator value, using projection pursuit model (PPM) and genetic algorithms to make a further calculation to satisfaction indicators. The results show that: which has the greatest impact on e-commerce platforms' overall satisfaction is the product reputation and popularity; Jingdong Mall has the best overall satisfaction among Jingdong Mall, T-mall, and Amazon this three e-commerce platforms. Meanwhile, each ecommerce platforms has its own superiority and own superiority and weakness.
Keywords: comment; word frequency statistics; satisfaction indicator; projection pursuit; genetic algorithms.
International Journal of Computing Science and Mathematics, 2020 Vol.11 No.1, pp.54 - 62
Received: 07 Mar 2018
Accepted: 16 May 2018
Published online: 02 Mar 2020 *