https://scholars.lib.ntu.edu.tw/handle/123456789/612169
標題: | Role of Analytics for Operational Risk Management in the Era of Big Data | 作者: | Araz O.M. TSAN MING CHOI Olson D.L. Salman F.S. |
關鍵字: | Analytics; Big Data; Operations; Risk; Supply Chains | 公開日期: | 2020 | 出版社: | Blackwell Publishing Ltd | 卷: | 51 | 期: | 6 | 起(迄)頁: | 1320-1346 | 來源出版物: | Decision Sciences | 摘要: | Operational risk management (ORM) is critical for any organization, and in the big data era, analytical tools for operational risk management are evolving faster than ever. This paper examines recent developments in academic ORM literature from the data analytics perspective. We focus on identifying present trends in ORM related to various types of natural and man-made disasters that have been challenging all aspects of life. Although we examine the broader operations management (OM) literature, we keep the focus on the articles published in the well-regarded OM journals, including both empirical and analytical outlets. We highlight how the use of data analytics tools and methods have facilitated ORM. We discuss the need for data monitoring and the integration of various analytical tools into decision making processes by classifying the literature on application fields, analytics techniques, and the strategies used for implementation. We summarize our findings and propose a process to implement data-driven ORM with future research directions. ? 2020 Decision Sciences Institute |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85084152162&doi=10.1111%2fdeci.12451&partnerID=40&md5=264d4d34981a7efbd5a58e220577a095 https://scholars.lib.ntu.edu.tw/handle/123456789/612169 |
DOI: | 10.1111/deci.12451 |
顯示於: | 工商管理學系 |
在 IR 系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。