Managing perceived operational risk factors for effective supply-chain management

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This research is part of a large scale comprehensive mathematical and empirical modeling investigation projects aimed at developing a better understanding of supply-chain risk management by offering a comprehensive framework including theoretical elements and empirical evidence based on managers' perception of improved organizational level of preparedness to safeguard against the threats of disruptions, delays and stoppage in the supply chain. More specifically, this paper reports the empirical investigation conducted using 92 companies in several eastern USA regions involved in international trades with global supply chains. Among the 56 general hypotheses investigated, the results support that managers strive to balance their control and decision impacts to mold their responses to risk factors with knowledge of the extent of cost consequences as stated in previous research. However, the results also propose new findings which significantly vary from previous research reports.

Original languageEnglish (US)
Title of host publicationAIP Conference Proceedings
EditorsNazrina Aziz, Haslinda Ibrahim, Jafri Zulkepli, Nazihah Ahmad, Syariza Abdul Rahman
PublisherAmerican Institute of Physics Inc.
Pages19-26
Number of pages8
ISBN (Electronic)9780735412743
DOIs
StatePublished - Jan 1 2014
Event3rd International Conference on Quantitative Sciences and Its Applications: Fostering Innovation, Streamlining Development, ICOQSIA 2014 - Langkawi, Kedah, Malaysia
Duration: Aug 12 2014Aug 14 2014

Publication series

NameAIP Conference Proceedings
Volume1635
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Other

Other3rd International Conference on Quantitative Sciences and Its Applications: Fostering Innovation, Streamlining Development, ICOQSIA 2014
Country/TerritoryMalaysia
CityLangkawi, Kedah
Period8/12/148/14/14

All Science Journal Classification (ASJC) codes

  • Physics and Astronomy(all)

Keywords

  • empirical investigation
  • global supply chain
  • mitigation strategies
  • risks management

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