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Author:

Liu, Dongru (Liu, Dongru.) | Gao, Longfei (Gao, Longfei.) | Lyu, Zongyi (Lyu, Zongyi.)

Indexed by:

EI Scopus

Abstract:

With the rapid development of technology, people's lifestyles and thinking patterns have been transformed. Combining the theories of big data, consumer behavior and predictive science, this paper explores new ways to predict consumer purchase decision behavior and revises the traditional consumer purchase behavior model from the perspective of consumer purchase decision through literature research, case study and comparative research. At the same time, this paper emphasizes the instrumental properties of big data itself, pointing out that big data has not changed the fundamentals of marketing concepts, but using it well can better realize precision marketing, create customer perceived value, and create customer resources. © 2021 IEEE

Keyword:

Big data Sales Decision making Forecasting Purchasing Commerce Consumer behavior

Author Community:

  • [ 1 ] [Liu, Dongru]Beijing University of Technology, Beijing, China
  • [ 2 ] [Gao, Longfei]Southwestern University of Finance and Economics, Chengdu, China
  • [ 3 ] [Lyu, Zongyi]University of Science and Technology Beijing, Beijing, China

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Source :

Year: 2021

Page: 584-586

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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