Proceedings of the 2022 2nd International Conference on Management Science and Software Engineering (ICMSSE 2022)

<Previous Article In Volume
Next Article In Volume>

Research on Improving the Community Group Buying Model with Big Data Technology

Authors
Xinjia Zhuang1, *
1Accounting Department, Wuhan University of Technology, Wuhan, Hubei, China
*Corresponding author. Email: 1730537068@qq.com
Corresponding Author
Xinjia Zhuang
Available Online 29 December 2022.
DOI
10.2991/978-94-6463-056-5_7How to use a DOI?
Keywords
Big data technology; community group buying; Internet platform; simulation experiment; model optimization
Abstract

In recent years, community group buying has developed rapidly and competition in the market is fierce. The government's restrictions on corporate price wars have caused the development of community group buying platforms to stagnate, and there is an urgent need for reasonable optimization of the model. In the Internet trading platform, big data technology can play a good role in promoting the transaction and development of the platform, and help the development of the platform. This article mainly analyzes the current model of community group buying and its drawbacks, and explores the application methods of big data technology from the perspective of the target market, the supply chain, and the personalized demand. And it optimizes the mode of setting self-pickup points with a weighted algorithm in a simulated situation. Finally, it provides many suggestions for community group buying companies.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2022 2nd International Conference on Management Science and Software Engineering (ICMSSE 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
29 December 2022
ISBN
978-94-6463-056-5
ISSN
2589-4900
DOI
10.2991/978-94-6463-056-5_7How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Xinjia Zhuang
PY  - 2022
DA  - 2022/12/29
TI  - Research on Improving the Community Group Buying Model with Big Data Technology
BT  - Proceedings of the 2022 2nd International Conference on Management Science and Software Engineering (ICMSSE 2022)
PB  - Atlantis Press
SP  - 34
EP  - 39
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-056-5_7
DO  - 10.2991/978-94-6463-056-5_7
ID  - Zhuang2022
ER  -