Big data analytics in operations and supply chain management

被引：65

作者：

Wamba, Samuel Fosso ^{[1
]}

Gunasekaran, Angappa ^{[2
]}

Dubey, Rameshwar ^{[3
]}

Ngai, Eric W. T. ^{[4
]}

机构：

[1] Toulouse Business Sch, 20 Blvd Lascrosses, F-31068 Toulouse, France

[2] Calif State Univ Bakersfield, Sch Business & Publ Adm, 9001 Stockdale Highway, Bakersfield, CA 93311 USA

[3] Montpellier Res Management, Montpellier Business Sch, 2300 Ave Moulins, F-34185 Montpellier, France

[4] Hong Kong Polytech Univ, Kowloon, Hong Kong, Peoples R China

来源：

ANNALS OF OPERATIONS RESEARCH | 2018年 / 270卷 / 1-2期

关键词：

PREDICTIVE ANALYTICS; DATA SCIENCE; PERFORMANCE; CAPABILITY;

D O I：

10.1007/s10479-018-3024-7

中图分类号：

C93 [管理学]; O22 [运筹学];

学科分类号：

070105 ; 12 ; 1201 ; 1202 ; 120202 ;

摘要：

[No abstract available]

引用

页码：1 / 4

页数：4

共 17 条

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[2]

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[3]

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[7]

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[8] The role of Big Data in explaining disaster resilience in supply chains for sustainability [J].

Papadopoulos, Thanos ;

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[9]

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[10] Data Science, Predictive Analytics, and Big Data in Supply Chain Management: Current State and Future Potential [J].

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JOURNAL OF BUSINESS LOGISTICS, 2015, 36 (01) :120-132

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