Integrated Online Consumer Preference Mining for Product Improvement with Online Reviews
系统科学与信息学报英文版,系统科学与信息学报
 Home  |  About  |  Editorial Board  |  Order  |  Publication Ethics  |  Contact  |  
Quick Search in J Sys Sci & Info Advanced Search
Journal of Systems Science and Information  2019, Vol. 7 Issue (1): 17-36    DOI: 10.21078/JSSI-2019-017-20
Current Issue | Next Issue | Archive | Adv Search  |   
Integrated Online Consumer Preference Mining for Product Improvement with Online Reviews
Jie LI, Qiaoling LAN, Lu LIU, Fang YANG
School of Economics and Management, Hebei University of Technology, Tianjin 300401, China
 Download: PDF (446 KB)   HTML (1 KB)   Export: BibTeX | EndNote (RIS)      Supporting Info
Abstract 

Exploring consumer preferences for a product is essential for the enterprise in product improvement. Many studies have been conducted in consumer preference. However, few studies have concentrated on evaluating the product and service characteristics of a specific product, to facilitate product and service improvements. This study proposes a systematic research framework for exploring major product and service features that reflect consumer preferences based on the online reviews. By creatively integrating quantitative studies of multiple linear regression and meta-analysis, this study expects to generate a feature-based preference importance ranking. Furthermore, by adopting an importance-satisfaction analysis, we can draw a matrix that is valuable in product improvement. Coupled with the preference rankings, implications for competitive strategies that facilitate product improvement can be drawn. The effectiveness of this methodology is verified by a case study of laptop on the basis of the online reviews from amazon.cn.

Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors
Jie LI
Qiaoling LAN
Lu LIU
Fang YANG
Key wordsconsumer preference   product improvement   online reviews   meta-analysis     
Received: 2017-09-08;
Fund:

Supported by the National Social Science Foundation Project of China (16FGL014)

Corresponding Authors: Jie LI   
 E-mail: ljrsch@126.com
Cite this article:   
Jie LI,Qiaoling LAN,Lu LIU et al. Integrated Online Consumer Preference Mining for Product Improvement with Online Reviews[J]. Journal of Systems Science and Information, 2019, 7(1): 17-36.
URL:  
http://123.57.41.99/Jwk_si/EN/10.21078/JSSI-2019-017-20     or     http://123.57.41.99/Jwk_si/EN/Y2019/V7/I1/17
 
No Similar of article
  Copyright 2011 © Editorial Board of Journal of Systems Science and Information
Beijing 100190, P. R. China Tel: 86-10-82541407、1428 Email: sysengi@amss.ac.cn