Big Data Analytics in E-commerce for the U.S. and China Through Literature Reviewing

Zhuang Weiqing (), Wang Morgan C. (), Nakamoto Ichiro () and Jiang Ming ()
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Zhuang Weiqing: School of Internet Economics and Business, Fujian University of Technology, Fuzhou350108, China
Wang Morgan C.: College of Science, University of Central Florida, Florida32525, USA
Nakamoto Ichiro: School of Internet Economics and Business, Fujian University of Technology, Fuzhou350108, China
Jiang Ming: School of Internet Economics and Business, Fujian University of Technology, Fuzhou350108, China

Journal of Systems Science and Information, 2021, vol. 9, issue 1, 16-44

Abstract: Big data analytics (BDA) in e-commerce, which is an emerging field that started in 2006, deeply affects the development of global e-commerce, especially its layout and performance in the U.S. and China. This paper seeks to examine the relative influence of theoretical research of BDA in e-commerce to explain the differences between the U.S. and China by adopting a statistical analysis method on the basis of samples collected from two main literature databases, Web of Science and CNKI, aimed at the U.S. and China. The results of this study help clarify doubts regarding the development of China’s e-commerce, which exceeds that of the U.S. today, in view of the theoretical comparison of BDA in e-commerce between them.

Keywords: big data analytics; e-commerce; U.S. and China; literature review (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:bpj:jossai:v:9:y:2021:i:1:p:16-44:n:1

DOI: 10.21078/JSSI-2021-016-29

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