With the widespread popularity and the rapid development of e-commerce, e-commerce ecosystem is becoming a hot pot. Structure, the main elements and sources of information of e-commerce ecosystem are analyzed. Sensors from multisource of e-commerce eco-system are defined according to the information fusion technology. The knowledge and model bases of information fusion are determined. The decision support model of e-commerce ecosystem based on information fusion from multisource is developed. The specific fusion algorithms and decision-making process are introduced. This study can provide a new practice idea for dealing with the problems of information fusion from multisource and decision-making.
CITATION STYLE
Li, L., Zhao, L., & Liu, D. (2016). Study on Ecosystem Model and Decision Making of E-Commerce Based on Multisource Information Fusion. In Proceedings of the 6th International Asia Conference on Industrial Engineering and Management Innovation (pp. 845–854). Atlantis Press. https://doi.org/10.2991/978-94-6239-145-1_81
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