Author:
Li Jinjing,Liu Yuming,Zhou Lin,Chen Jiaying
Abstract
Abstract
At present, the rapid development of e-commerce, effectively identifying the individualized needs of consumers and improving the service experience of consumers is a key factor for e-commerce companies to gain competitive advantage. This paper introduces the RFM model for the first time to study the field of agricultural products e-commerce, and provides new ideas for the consumer segmentation of agricultural products e-commerce platform. Based on the improved SERVQUAL evaluation method, the quality satisfaction of agricultural products online shopping service is studied to explore the agricultural products. Commercial consumers’ personalized service needs to provide practical development strategies.
Reference22 articles.
1. China Network Economy Annual Monitoring Report [A];Irene Consulting Series Research Report (No. 5, 2017) [C]
2. The Art of Appeal in Electronic Commerce: Understanding the Impact of Product and Website Quality on Online Purchases[J];Liu;Internet Research
3. To mine association rules of customer values via a data mining procedure with improved model: An empirical case study[J];Chiang;Expert Systems with Applications,2011
4. classification the segmentation of customer value via RFM model and RS theory [J];Cheng;Expert Systems with Applications,2008