Publication Type
Journal Article
Version
publishedVersion
Publication Date
3-2015
Abstract
With the increasing trend of global outsourcing, companies are now facing ever more complexsupply chains. When a company operates over a large geographical area, the likelihood of disruptions ispotentially increased due to such unforeseen events as natural disasters, union strikes or social unrest. Inthis paper, we consider natural disasters as a form of risks in supply chains and propose to aid itsmanagement by analyzing Web data collected in real-time. Using Twitter "tweets" as our primary source ofWeb data, a real-time data crawler is developed to collect and analyze tweets that are identified as relevant tonatural disasters. In addition, a visualization platform customizable to users’ requirements is implemented aspart of the decision making dashboard for supply chain risk management. The applicability of such a systemand its effectiveness for making informed decisions in risk mitigations are then discussed via a case study.
Keywords
Natural disaster, earthquake, supply chain risk management, web data, real-time analysis, visualization.
Discipline
Information Security
Research Areas
Information Systems and Management
Publication
International Journal of Computer and Communication Engineering
Volume
4
Issue
2
First Page
126
Last Page
133
Identifier
10.17706/ijcce.2015.v4.391
Publisher
International Academy Publishing
Citation
ONG, Jimmy; WANG, Zhaoxia; GOH, Rick Siow Mong; YIN, Xiao Feng; XIN, Xin; and FU, Xiuju.
Understanding natural disasters as risks in supply chain management through web data analysis. (2015). International Journal of Computer and Communication Engineering. 4, (2), 126-133.
Available at: https://ink.library.smu.edu.sg/sis_research/7253
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.17706/ijcce.2015.v4.391