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Empirical analysis of customer behaviors in Chinese e-commerce

Wang, Jinlong, Gao, Ke and Li, Gang 2010, Empirical analysis of customer behaviors in Chinese e-commerce, Journal of networks, vol. 5, no. 10, Special Issue : Information Security and Applications, pp. 1177-1184.

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Title Empirical analysis of customer behaviors in Chinese e-commerce
Author(s) Wang, Jinlong
Gao, Ke
Li, Gang
Journal name Journal of networks
Volume number 5
Issue number 10
Season Special Issue : Information Security and Applications
Start page 1177
End page 1184
Total pages 8
Publisher Academy Publisher
Place of publication Oulu, Finland
Publication date 2010-10
ISSN 1796-2056
Keyword(s) customer behaviors
purchasing patterns
power-law distributions
Summary With the burgeoning e-Business websites, E-Commerce in China has been developing rapidly in recent years. From the analysis of Chinese E-Commerce market, it is possible to discover customer purchasing patterns or behavior characteristics, which are indispensable knowledge for the expansion of Chinese E-Commerce market. This paper presents an empirical analysis on the sale transactions from the 360buy website based on the analysis of time interval distributions in perspectives of customers. Results reveal that in most situations the time intervals approximately obey the power-law distribution over two orders of magnitudes. Additionally, time interval on customer’s successive purchase can reflect how loyal a customer is to a specific product category. Moreover, we also find an interesting phenomenon about human behaviors that could be related to psychology of customers. In general, customers’ requirements in different product categories are similar. The investigation into individual behaviors may help researchers understand how customers’ group behaviors generated.
Language eng
Field of Research 150604 Tourism Marketing
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1 Refereed article in a scholarly journal
HERDC collection year 2010
Copyright notice ©2010, ACADEMY PUBLISHER
Persistent URL http://hdl.handle.net/10536/DRO/DU:30032949

Document type: Journal Article
Collections: School of Information Technology
Open Access Collection
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