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挖掘在线餐饮外卖服务供应链中外卖业务的可持续性

Mining the sustainability of takeaway businesses in online food delivery service supply chain.

作者信息

Li Longxiao, Zhang Zusheng, Li Xixi, Su Jiafu, Jiang Yanling, Cao Jun, Zhao Fangsu

机构信息

School of Business Administration, Chongqing University of Science and Technology, No. 20, East University Town Road, Shapingba District, Chongqing, 401331, China.

College of Mechanical and Vehicle Engineering, Chongqing University, No.174 Shazhengjie, Shapingba District, Chongqing, 400044, China.

出版信息

Heliyon. 2024 Mar 10;10(6):e27938. doi: 10.1016/j.heliyon.2024.e27938. eCollection 2024 Mar 30.

Abstract

The online food delivery service supply chain constitutes a crucial element in achieving sustainable development goals. With its prosperity, an increasing number of takeaway businesses are drawn to this sector. As their numbers rise, issues such as profitability resilience, environmental friendliness, and fulfillment of social responsibility emerge, posing potential disruptions to the service supply chain. Against this backdrop, our endeavor is to mine the sustainability of takeaway businesses using the triple bottom line. We propose a two-stage approach involving the Bayesian best-worst method and a data mining technique to derive the weights of sustainability criteria and the clusters of takeaway businesses. Subsequently, a case study is conducted focusing on takeaway businesses on the platform in China. The results highlight economic sustainability as the most valued criterion, followed by social and environmental sustainability. Clustering outcomes reveal four distinct levels of sustainability, with a stronger performance in social sustainability compared to environmental and economic dimensions. Further discussions explore the relationship between sustainability levels, cuisine categories, and business size. Consequently, this study suggests an effective approach for advancing sustainability initiatives within the online food delivery service supply chain.

摘要

在线食品配送服务供应链是实现可持续发展目标的关键要素。随着其蓬勃发展,越来越多的外卖企业投身该领域。随着企业数量的增加,盈利能力弹性、环境友好性和社会责任履行等问题逐渐显现,给服务供应链带来潜在干扰。在此背景下,我们致力于运用三重底线来挖掘外卖企业的可持续性。我们提出了一种两阶段方法,涉及贝叶斯最佳 - 最差方法和数据挖掘技术,以确定可持续性标准的权重和外卖企业的集群。随后,以中国某平台上的外卖企业为重点进行了案例研究。结果表明,经济可持续性是最受重视的标准,其次是社会和环境可持续性。聚类结果揭示了四个不同的可持续性水平,与环境和经济维度相比,社会可持续性表现更强。进一步的讨论探讨了可持续性水平、菜系类别和企业规模之间的关系。因此,本研究为推进在线食品配送服务供应链中的可持续性举措提出了一种有效方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/402b/10950709/8550405538f8/gr1.jpg

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