Proceedings of the 2021 3rd International Conference on Economic Management and Cultural Industry (ICEMCI 2021)

The Influence of Big Data on Purchasing Behavior

Authors
Rui Tang
Hefei No.1 High School, Hefei, Anhui, China
Corresponding author. Email: gaoming@cas-harbour.org
Corresponding Author
Rui Tang
Available Online 15 December 2021.
DOI
10.2991/assehr.k.211209.184How to use a DOI?
Keywords
Big data; purchase behavior; marketing strategy; SOR model
Abstract

At present, with the improvement of people’s quality of life, people’s consumption level also rises, and they buy more and more products. In the purchase behavior, consumers will have different purchase intentions under different circumstances, thus affecting the sales of products. This paper aims to analyze the formation mechanism of consumers’ purchase intention based on big data environment. It highlights all aspects of big data, including the value of data, the privacy of data mining, and the quality of data filtering. Through SOR model and data substitution analysis, merchants can analyze this aspect to formulate sales strategies for different customers.

Copyright
© 2021 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

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Volume Title
Proceedings of the 2021 3rd International Conference on Economic Management and Cultural Industry (ICEMCI 2021)
Series
Advances in Economics, Business and Management Research
Publication Date
15 December 2021
ISBN
10.2991/assehr.k.211209.184
ISSN
2352-5428
DOI
10.2991/assehr.k.211209.184How to use a DOI?
Copyright
© 2021 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Rui Tang
PY  - 2021
DA  - 2021/12/15
TI  - The Influence of Big Data on Purchasing Behavior
BT  - Proceedings of the 2021 3rd International Conference on Economic Management and Cultural Industry (ICEMCI 2021)
PB  - Atlantis Press
SP  - 1135
EP  - 1137
SN  - 2352-5428
UR  - https://doi.org/10.2991/assehr.k.211209.184
DO  - 10.2991/assehr.k.211209.184
ID  - Tang2021
ER  -