{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,5]],"date-time":"2022-04-05T21:56:19Z","timestamp":1649195779452},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2020,10,12]],"date-time":"2020-10-12T00:00:00Z","timestamp":1602460800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,10,12]]},"abstract":"<jats:p>The sudden emergence of \u2018COVID-19\u2019 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\u2019s 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\u2019s 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.<\/jats:p>","DOI":"10.3233\/faia200647","type":"book-chapter","created":{"date-parts":[[2020,10,14]],"date-time":"2020-10-14T09:44:58Z","timestamp":1602668698000},"source":"Crossref","is-referenced-by-count":0,"title":["Supply Chain Finance for Targeted Poverty Alleviation: A Case Study of Suning"],"prefix":"10.3233","author":[{"given":"Shanliang","family":"Li","sequence":"first","affiliation":[{"name":"School of Politics and Public Administration, Suzhou University, China"}]},{"given":"Shan","family":"Yan","sequence":"additional","affiliation":[{"name":"School of Politics and Public Administration, Suzhou University, China"}]},{"given":"Liwen","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Politics and Public Administration, Suzhou University, China"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Modern Management based on Big Data I"],"original-title":[],"link":[{"URL":"http:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA200647","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,10,14]],"date-time":"2020-10-14T09:44:59Z","timestamp":1602668699000},"score":1,"resource":{"primary":{"URL":"http:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA200647"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,12]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia200647","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,10,12]]}}}