A CROSS-PLATFORM MARKET STRUCTURE ANALYSIS METHOD USING ONLINE PRODUCT REVIEWS-Reference-Cited by-同舟云学术

A CROSS-PLATFORM MARKET STRUCTURE ANALYSIS METHOD USING ONLINE PRODUCT REVIEWS

Published:2021-08-18 Issue:5 Volume:27 Page:992-1018
ISSN:2029-4913
Container-title:Technological and Economic Development of Economy
language:
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Author:

Kou Gang¹,Yang Pei²,Peng Yi³,Xiao Hui⁴,Xiao Feng¹,Chen Yang¹,Alsaadi Fawaz E.⁵

Affiliation:

1. School of Business Administration, Southwestern University of Finance and Economics, 611130 Chengdu, China

2. College of Management Science, Chengdu University of Technology, 610059 Chengdu, China

3. School of Management and Economics, University of Electronic Science and Technology of China, 610054 Chengdu, China

4. School of Statistics, Southwestern University of Finance and Economics, 555 Liutai Avenue, Wenjiang District, 611130 Chengdu, China

5. Department of Information Technology, Faculty of Computing and IT, King Abdulaziz University, Jeddah, Saudi Arabia

Abstract

Studies have shown that online product reviews can indicate the position of a competitive brand. Even though reviews on different platforms may express different opinions, most studies are based on only one platform. This may lead to an inaccurate analysis of market structure. To solve this problem, we develop a novel market structure analysis based on multi-attribute group decision-making which can integrate reviews from different platforms. Multiple platforms more comprehensively reflect the market than single platforms do. To verify the effectiveness of the proposed method, we conduct a case study of mobile phone reviews across three top e-commerce platforms in China. In addition, we propose a process to generate priorities for product-attribute improvements using a cross-platform market structure analysis method. Our experiments demonstrate the effectiveness of the proposed method.

Publisher

Vilnius Gediminas Technical University

Subject

Finance

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