Understanding natural disasters as risks in supply chain management through web data analysis
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....
Saved in:
Main Authors: | , , , , , |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2015
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/7253 https://ink.library.smu.edu.sg/context/sis_research/article/8256/viewcontent/2015_Understanding_Natural_Disasters_as_Risks_in_Supply_Chain_Management_through_Web_Data_Analysis.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
id |
sg-smu-ink.sis_research-8256 |
---|---|
record_format |
dspace |
spelling |
sg-smu-ink.sis_research-82562022-09-12T10:15:35Z Understanding natural disasters as risks in supply chain management through web data analysis ONG, Jimmy WANG, Zhaoxia GOH, Rick Siow Mong YIN, Xiao Feng XIN, Xin FU, Xiuju 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. 2015-03-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/7253 info:doi/10.17706/ijcce.2015.v4.391 https://ink.library.smu.edu.sg/context/sis_research/article/8256/viewcontent/2015_Understanding_Natural_Disasters_as_Risks_in_Supply_Chain_Management_through_Web_Data_Analysis.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Natural disaster earthquake supply chain risk management web data real-time analysis visualization. Information Security |
institution |
Singapore Management University |
building |
SMU Libraries |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
SMU Libraries |
collection |
InK@SMU |
language |
English |
topic |
Natural disaster earthquake supply chain risk management web data real-time analysis visualization. Information Security |
spellingShingle |
Natural disaster earthquake supply chain risk management web data real-time analysis visualization. Information Security ONG, Jimmy WANG, Zhaoxia GOH, Rick Siow Mong YIN, Xiao Feng XIN, Xin FU, Xiuju Understanding natural disasters as risks in supply chain management through web data analysis |
description |
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. |
format |
text |
author |
ONG, Jimmy WANG, Zhaoxia GOH, Rick Siow Mong YIN, Xiao Feng XIN, Xin FU, Xiuju |
author_facet |
ONG, Jimmy WANG, Zhaoxia GOH, Rick Siow Mong YIN, Xiao Feng XIN, Xin FU, Xiuju |
author_sort |
ONG, Jimmy |
title |
Understanding natural disasters as risks in supply chain management through web data analysis |
title_short |
Understanding natural disasters as risks in supply chain management through web data analysis |
title_full |
Understanding natural disasters as risks in supply chain management through web data analysis |
title_fullStr |
Understanding natural disasters as risks in supply chain management through web data analysis |
title_full_unstemmed |
Understanding natural disasters as risks in supply chain management through web data analysis |
title_sort |
understanding natural disasters as risks in supply chain management through web data analysis |
publisher |
Institutional Knowledge at Singapore Management University |
publishDate |
2015 |
url |
https://ink.library.smu.edu.sg/sis_research/7253 https://ink.library.smu.edu.sg/context/sis_research/article/8256/viewcontent/2015_Understanding_Natural_Disasters_as_Risks_in_Supply_Chain_Management_through_Web_Data_Analysis.pdf |
_version_ |
1770576291909599232 |