Recent Development in Big Data Analytics for Business Operations and Risk Management

被引:168
作者
Choi, Tsan-Ming [1 ]
Chan, Hing Kai [2 ]
Yue, Xiaohang [3 ]
机构
[1] Hong Kong Polytech Univ, Fash Business, Hong Kong, Hong Kong, Peoples R China
[2] Univ Nottingham, Sch Business, Ningbo 315100, Zhejiang, Peoples R China
[3] Univ Wisconsin, Milwaukee, WI 53201 USA
关键词
Big data analytics; business intelligence (BI); operational risk analysis; operations management; systems reliability; security; SUPPLY CHAIN; CLOUD SERVICE; DATA SYSTEMS; MASTER DATA; INTELLIGENCE; INFORMATION; MODEL; SECURITY; INTERNET; IMPACT;
D O I
10.1109/TCYB.2015.2507599
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
"Big data" is an emerging topic and has attracted the attention of many researchers and practitioners in industrial systems engineering and cybernetics. Big data analytics would definitely lead to valuable knowledge for many organizations. Business operations and risk management can be a beneficiary as there are many data collection channels in the related industrial systems (e.g., wireless sensor networks, Internet-based systems, etc.). Big data research, however, is still in its infancy. Its focus is rather unclear and related studies are not well amalgamated. This paper aims to present the challenges and opportunities of big data analytics in this unique application domain. Technological development and advances for industrial-based business systems, reliability and security of industrial systems, and their operational risk management are examined. Important areas for future research are also discussed and revealed.
引用
收藏
页码:81 / 92
页数:12
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