2023 4th International Conference on E-Commerce and Internet Technology (ECIT 2023)

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Research on the Location of Community Group Purchase Pick-Up Points Based on Improved Sparrow Search Algorithm

Authors
Fei Chen1, *
1Institute of Logistics Science and Engineering, Shanghai Maritime University, Shanghai, China
*Corresponding author. Email: 747120564@qq.com
Corresponding Author
Fei Chen
Available Online 25 July 2023.
DOI
10.2991/978-94-6463-210-1_19How to use a DOI?
Keywords
Community group buying; Pick-up point location; Headmaster trust; Customer satisfaction; Improved sparrow search algorithm
Abstract

In order to develop in the long run and improve the overall revenue, community group buying enterprises should further improve the end of the self-pickup point. Community group buying self-pickup points are characterized by direct communication between the head of the group and the customer, therefore, customer satisfaction with the self-pickup points is not only affected by the pickup distance, but also deeply affected by the trust of the head of the group. Therefore, this paper constructs a site selection model with the goal of maximizing the revenue of self-pickup points and solves it by using the improved sparrow search algorithm. Finally, the results show that customer satisfaction has an important influence on the location selection result of the pickup point, and it is necessary for enterprises to consider more when reviewing the application of the head of the company.

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.

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Volume Title
2023 4th International Conference on E-Commerce and Internet Technology (ECIT 2023)
Series
Atlantis Highlights in Engineering
Publication Date
25 July 2023
ISBN
10.2991/978-94-6463-210-1_19
ISSN
2589-4943
DOI
10.2991/978-94-6463-210-1_19How 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  - Fei Chen
PY  - 2023
DA  - 2023/07/25
TI  - Research on the Location of Community Group Purchase Pick-Up Points Based on Improved Sparrow Search Algorithm
BT  - 2023 4th International Conference on E-Commerce and Internet Technology (ECIT 2023)
PB  - Atlantis Press
SP  - 147
EP  - 155
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-210-1_19
DO  - 10.2991/978-94-6463-210-1_19
ID  - Chen2023
ER  -