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Also, based on the evaluation results and findings, some improvement suggestions are made for improving the cold chain LSQ of similar kinds of fresh ecommerce companies.<\/jats:p>","DOI":"10.1007\/s40747-020-00202-y","type":"journal-article","created":{"date-parts":[[2020,10,16]],"date-time":"2020-10-16T04:02:20Z","timestamp":1602820940000},"page":"2221-2235","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Applying catastrophe progression method to evaluate the service quality of cold chain logistics"],"prefix":"10.1007","volume":"9","author":[{"given":"Hao","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Yuxin","family":"Shi","sequence":"additional","affiliation":[]},{"given":"Bin","family":"Qiu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,10,16]]},"reference":[{"key":"202_CR1","doi-asserted-by":"crossref","first-page":"557","DOI":"10.1016\/j.ins.2016.07.014","volume":"373","author":"J Ruan","year":"2016","unstructured":"Ruan J, Shi Y (2016) Monitoring and assessing fruit freshness in iot-based e-commerce delivery using scenario analysis and interval number approaches. 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