题名 | Big data and predictive analytics in humanitarian supply chains: Enabling visibility and coordination in the presence of swift trust |
作者 | |
通讯作者 | Dubey, Rameshwar |
发表日期 | 2018
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DOI | |
发表期刊 | |
ISSN | 0957-4093
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EISSN | 1758-6550
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卷号 | 29期号:2页码:485-512 |
摘要 | Purpose The purpose of this paper is to understand how big data and predictive analytics (BDPA), as an organizational capability, can improve both visibility and coordination in humanitarian supply chains. |
关键词 | |
相关链接 | [来源记录] |
收录类别 | |
语种 | 英语
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学校署名 | 其他
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WOS研究方向 | Business & Economics
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WOS类目 | Management
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WOS记录号 | WOS:000433898900002
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出版者 | |
来源库 | Web of Science
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引用统计 |
被引频次[WOS]:136
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成果类型 | 期刊论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/28315 |
专题 | 工学院_计算机科学与工程系 |
作者单位 | 1.Montpellier Business Sch, Montpellier, France 2.Southern Univ Sci & Technol, Dept Comp Sci & Engn, Shenzhen, Peoples R China 3.Univ Massachusetts Dartmouth, Charlton Coll Business, Dept Decis & Informat Sci, N Dartmouth, MA USA 4.Univ Wollongong, Sch Management Operat & Mkt, Wollongong, NSW, Australia 5.US Air Force, Inst Technol, Dept Operat Sci, Wright Patterson AFB, OH 45433 USA 6.Univ Tennessee, Dept Mkt & Supply Chain Management, Knoxville, TN USA |
推荐引用方式 GB/T 7714 |
Dubey, Rameshwar,Luo, Zongwei,Gunasekaran, Angappa,et al. Big data and predictive analytics in humanitarian supply chains: Enabling visibility and coordination in the presence of swift trust[J]. International Journal of Logistics Management,2018,29(2):485-512.
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APA |
Dubey, Rameshwar,Luo, Zongwei,Gunasekaran, Angappa,Akter, Shahriar,Hazen, Benjamin T.,&Douglas, Matthew A..(2018).Big data and predictive analytics in humanitarian supply chains: Enabling visibility and coordination in the presence of swift trust.International Journal of Logistics Management,29(2),485-512.
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MLA |
Dubey, Rameshwar,et al."Big data and predictive analytics in humanitarian supply chains: Enabling visibility and coordination in the presence of swift trust".International Journal of Logistics Management 29.2(2018):485-512.
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条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | 操作 | |
10-1108_IJLM-02-2017(268KB) | -- | -- | 限制开放 | -- |
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