Study on Group Differences of Online Shopping Based on Data Mining

Abstract:

In the face of complex problems of implementation intentions predict the online shopping behavior, we conducted a preliminary exploration of group differences intention on the online shopping behavior using data mining method. The research results show, different types of temperament, personality, gender and living area in online shopping experience and behavior intention have common characteristics of groups, and different groups have obvious difference in online shopping behavior . Finally, this paper combined with large data and the mobile Internet era characteristic, put forward to large data comprehensive online shopping search behavior index, O2O business model as the foundation, the prospect of research on the construction of implementation intention theory of online shopping behavior.

• Periodical: Applied Mechanics and Materials (Volumes 713-715)
• Pages: 2482-2485
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.713-715.2482
• Online since: January 2015
• Authors: Yang Zhao*, Lin Wang
• Keywords: Behavior, Contextual Cues, Data Mining, Implementation Intentions, Online Shopping Behavior

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