Research on Risk Evaluation of Community Group Buying Supply Chain
- DOI
- 10.2991/978-94-6463-570-6_3How to use a DOI?
- Keywords
- Community Group Buying; Supply Chain; Risk Evaluation; Analytic Hierarchy Process; Fuzzy Comprehensive Evaluation
- Abstract
The community group buying model, characterized by its “online pre-sale + offline pickup” approach, has sparked a new trend, utilizing bulk purchasing to reduce costs and enhance supply chain efficiency. However, the unique aspects of community group buying introduce multiple risks to its supply chain model. This study aims to construct a risk assessment indicator system for the community group buying supply chain that includes six primary indicators and twenty-four secondary indicators. Using the Analytic Hierarchy Process (AHP) to determine the weights of these indicators and combining it with the Fuzzy Comprehensive Evaluation method to rank the risk levels of the primary indicators, this research seeks to strengthen the control over risks within the community group buying supply chain. The findings reveal significant risks across various segments of the supply chain. Consequently, this paper proposes targeted measures and suggestions for each segment to effectively mitigate these risks and improve supply chain performance.
- Copyright
- © 2024 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
TY - CONF AU - Weigang Zhang AU - Min Huang PY - 2024 DA - 2024/11/22 TI - Research on Risk Evaluation of Community Group Buying Supply Chain BT - Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024) PB - Atlantis Press SP - 17 EP - 28 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-570-6_3 DO - 10.2991/978-94-6463-570-6_3 ID - Zhang2024 ER -