Using big data to make better decisions in the digital economy

被引：56

作者：

Tan, Kim Hua ^{[1
]}

Ji, Guojun ^{[2
]}

Lim, Chee Peng ^{[3
]}

Tseng, Ming-Lang ^{[4
]}

机构：

[1] Univ Nottingham, Business Sch, Nottingham, England

[2] Xiamen Univ, Sch Management, Fujian, Peoples R China

[3] Deakin Univ, Inst Intelligent Syst Res & Innovat, Geelong, Vic, Australia

[4] Lunghwa Univ Sci & Technol, Dept Business Adm, Taipei, Taiwan

来源：

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH | 2017年 / 55卷 / 17期

关键词：

Advanced researches - Big data applications - Business analytics - Decision makers - Decision models - Digital economy - High quality papers - Improving performance;

D O I：

10.1080/00207543.2017.1331051

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The question this special issue would like to address is how to harvest big data to help decision-makers to deliver better fact-based decisions aimed at improving performance or to create better strategy? This special issue focuses on the big data applications in supporting operations decisions, including advanced research on decision models and tools for the digital economy. Responds to this special issue was great and we have included many high-quality papers. We are pleased to present 13 of the best papers. The techniques presented include data mining, simulation and expert system with applications span across online reviews, food retail chain to e-health. © 2017 Informa UK Limited, trading as Taylor & Francis Group.

引用

页码：4998 / 5000

页数：3

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