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- W2590982766 startingPage "1740001" @default.
- W2590982766 abstract "Sharing forecast information helps supply chain parties to better match demand and supply. The extant literature has shown that sharing forecast information improves supply chain performance. In the big data era, supply chain managers have the ability to deal with a massive amount of data by big data technologies and analytics. Big data technologies and analytics provide more accurate forecast information and give an opportunity to transform business models. In this paper, a comprehensive review on forecast information sharing for managing supply chain in the big data era is conducted. The value and obstacles of sharing forecast information are discussed. Given the sufficient data, the appropriate approaches of analyzing and sharing forecast information are highlighted. Insights on the current state of knowledge in each respective area are discussed and some associated pertinent challenges are explored. Inspired by various timely and important issues, future research directions are suggested." @default.
- W2590982766 created "2017-03-03" @default.
- W2590982766 creator A5012204898 @default.
- W2590982766 creator A5079013016 @default.
- W2590982766 date "2017-02-01" @default.
- W2590982766 modified "2023-10-03" @default.
- W2590982766 title "Forecast Information Sharing for Managing Supply Chains in the Big Data Era: Recent Development and Future Research" @default.
- W2590982766 cites W109998294 @default.
- W2590982766 cites W1599919350 @default.
- W2590982766 cites W171179063 @default.
- W2590982766 cites W1895650610 @default.
- W2590982766 cites W1911451788 @default.
- W2590982766 cites W1969733971 @default.
- W2590982766 cites W1974898391 @default.
- W2590982766 cites W1979199856 @default.
- W2590982766 cites W1981714185 @default.
- W2590982766 cites W1983946597 @default.
- W2590982766 cites W1987802766 @default.
- W2590982766 cites W1988277750 @default.
- W2590982766 cites W1992880712 @default.
- W2590982766 cites W1997789066 @default.
- W2590982766 cites W2000765441 @default.
- W2590982766 cites W2003357211 @default.
- W2590982766 cites W2006746888 @default.
- W2590982766 cites W2007012838 @default.
- W2590982766 cites W2007343074 @default.
- W2590982766 cites W2014281697 @default.
- W2590982766 cites W2014697970 @default.
- W2590982766 cites W2015147440 @default.
- W2590982766 cites W2020330575 @default.
- W2590982766 cites W2023877155 @default.
- W2590982766 cites W2025420296 @default.
- W2590982766 cites W2029087371 @default.
- W2590982766 cites W2029471946 @default.
- W2590982766 cites W2039319960 @default.
- W2590982766 cites W2040182676 @default.
- W2590982766 cites W2040263621 @default.
- W2590982766 cites W2046407444 @default.
- W2590982766 cites W2046606519 @default.
- W2590982766 cites W2053029130 @default.
- W2590982766 cites W2053123023 @default.
- W2590982766 cites W2069433961 @default.
- W2590982766 cites W2078707111 @default.
- W2590982766 cites W2080126116 @default.
- W2590982766 cites W2080419654 @default.
- W2590982766 cites W2083601119 @default.
- W2590982766 cites W2083619263 @default.
- W2590982766 cites W2084998730 @default.
- W2590982766 cites W2090007741 @default.
- W2590982766 cites W2093343009 @default.
- W2590982766 cites W2098205863 @default.
- W2590982766 cites W2102049239 @default.
- W2590982766 cites W2109574129 @default.
- W2590982766 cites W2109871381 @default.
- W2590982766 cites W2117013321 @default.
- W2590982766 cites W2118356485 @default.
- W2590982766 cites W2118379819 @default.
- W2590982766 cites W2123594576 @default.
- W2590982766 cites W2128557162 @default.
- W2590982766 cites W2135628665 @default.
- W2590982766 cites W2135846084 @default.
- W2590982766 cites W2141085463 @default.
- W2590982766 cites W2141771514 @default.
- W2590982766 cites W2142338071 @default.
- W2590982766 cites W2142505438 @default.
- W2590982766 cites W2146218808 @default.
- W2590982766 cites W2147028502 @default.
- W2590982766 cites W2153092427 @default.
- W2590982766 cites W2158138669 @default.
- W2590982766 cites W2161909739 @default.
- W2590982766 cites W2163646188 @default.
- W2590982766 cites W2171722265 @default.
- W2590982766 cites W2178204454 @default.
- W2590982766 cites W2232637590 @default.
- W2590982766 cites W2233963192 @default.
- W2590982766 cites W2276034055 @default.
- W2590982766 cites W2302800291 @default.
- W2590982766 cites W2317980674 @default.
- W2590982766 cites W2325444619 @default.
- W2590982766 cites W3009668625 @default.
- W2590982766 cites W3121600425 @default.
- W2590982766 cites W3121751697 @default.
- W2590982766 cites W3121945729 @default.
- W2590982766 cites W3122132082 @default.
- W2590982766 cites W3123115705 @default.
- W2590982766 cites W3124899801 @default.
- W2590982766 cites W4233479037 @default.
- W2590982766 cites W4255055682 @default.
- W2590982766 cites W4376595326 @default.
- W2590982766 cites W969360544 @default.
- W2590982766 doi "https://doi.org/10.1142/s0217595917400012" @default.
- W2590982766 hasPublicationYear "2017" @default.
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