OS-FCM: A semi-supervised clustering approach to investigating consumers’ usage patterns of contactless shopping-delivery (S-D) channel-Reference-Cited by-同舟云学术

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OS-FCM: A semi-supervised clustering approach to investigating consumers’ usage patterns of contactless shopping-delivery (S-D) channel

Published:2024-08 Issue: Volume:247 Page:123263
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Chen Tianyi^ORCID,Wong Yiik Diew,Yuen Kum Fai,Li Duowei,Wang Xueqin^ORCID

Publisher

Elsevier BV

Reference72 articles.

1. Customers’ online purchase intentions and customer segmentation during the period of COVID-19 pandemic;Akar;Journal of Internet Commerce,2021

2. How the covid-19 pandemic is changing online food shopping human behaviour in Italy;Alaimo;Sustainability,2020

3. Benefit-based consumer segmentation and performance evaluation of clustering approaches: An evidence of data-driven decision-making;Arunachalam;Expert Systems with Applications,2018

4. Integrating Fuzzy C-Means and TOPSIS for performance evaluation: An application and comparative analysis;Bai;Expert Systems with Applications,2014

5. Importance–performance analysis by fuzzy C-means algorithm;Ban;Expert Systems with Applications,2016

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