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Supply Chain Finance for Targeted Poverty Alleviation: A Case Study of Suning
2020 Conference on Modern Management Based on Big Data, MMBD 2020 ; 329:132-146, 2020.
Article in English | Scopus | ID: covidwho-945607
ABSTRACT
The sudden emergence of 'COVID-19' in 2020 has tightened traffic control in various places, which has posed a huge challenge to the agricultural product supply chain. This research introduces the perspective of supply chain finance, uses in-depth case study methods, and takes Suning's agricultural supply chain finance as an example to discuss how e-commerce companies relying on big data adopt agricultural supply chain finance practices to promote accurate poverty alleviation. By analyzing Suning's four agricultural supply chain financial operation models, we find that the internal and external stakeholders of the enterprise are the driving factors for enterprises to adopt agricultural supply chain finance, and the adoption of agricultural supply chain finance measures has brought economic benefits and social benefits to enterprises benefit. Advanced big data tools, fintech and cooperation with other partners are necessary to adopt agricultural supply chain financial measures. © 2020 The authors and IOS Press.

Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Case report Language: English Journal: 2020 Conference on Modern Management Based on Big Data, MMBD 2020 Year: 2020 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Case report Language: English Journal: 2020 Conference on Modern Management Based on Big Data, MMBD 2020 Year: 2020 Document Type: Article