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Improving supply chain risk management –can additional data help?
KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.).ORCID iD: 0000-0002-9417-9421
Cross-Border Research Association.
2018 (English)In: International Journal of Logistics Systems and Management, ISSN 1742-7967, E-ISSN 1742-7975, Vol. 30, no 2, p. 195-224Article in journal (Refereed) Published
Abstract [en]

The recent large number of catastrophic events, such as terrorist attacks, natural disasters and pandemics, has drawn attention to the vulnerability of supply chains and the capability of IT system to monitor, predict and counteract adverse events. Experts agree that visibility and information sharing are fundamental tools to enhance the management of supply chain risks. Hence, by means of field studies conducted with seven companies, this study aims to shed more light upon how information sharing can improve supply chain risk management. As a result, the analysed companies showed great differences in their wishes for how to develop information sharing in the supply chain. Some respondents had clear visions for sophisticated, automated systems, whereas others expressed no wishes at all.

Place, publisher, year, edition, pages
InderScience Publishers, 2018. Vol. 30, no 2, p. 195-224
Keywords [en]
supply chain risk management; information systems; information and communication technology; information exchange
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-227939OAI: oai:DiVA.org:kth-227939DiVA, id: diva2:1205693
Note

QC 20180517

Available from: 2018-05-15 Created: 2018-05-15 Last updated: 2018-05-17Bibliographically approved

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fulltext(453 kB)29 downloads
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Urciuoli, Luca

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf