Using unlabeled data mining to detect customer perceptions of undefined commodity problems
| Year of publication: |
2021
|
|---|---|
| Authors: | Wu, Yiqiong ; Zhu, Qing ; Liu, Shan ; Zhang, Fan ; Wang, Linbo |
| Published in: |
International journal of services technology and management : IJSTM. - Geneva : Inderscience Enterprises Ltd., ISSN 1741-525X, ZDB-ID 2048156-1. - Vol. 27.2021, 3, p. 209-228
|
| Subject: | text mining | electronic commerce | online retailing | customer service | customer perception | Data Mining | Data mining | Online-Handel | Online retailing | Konsumentenverhalten | Consumer behaviour | Electronic Commerce | E-commerce | Kundenservice | Customer service | Kundenzufriedenheit | Customer satisfaction | Beziehungsmarketing | Relationship marketing | Einzelhandel | Retail trade | Wahrnehmung | Perception |
-
Mohammed Hariri Bakri, (2021)
-
Kamble, Aakash Ashok, (2019)
-
Promised hassle time management in online retailing with fraudulent and regretful customers
Kanyal, Rahul, (2025)
- More ...
-
Zhu, Qing, (2022)
-
Online dynamic group-buying community analysis based on high frequency time series simulation
Zhu, Qing, (2020)
-
Liu, Shan, (2024)
- More ...