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Int. J. Applied Management Science, Vol. 6, No. 1, 2014
Supply chain risk management: an analysis of
sources of risk and mitigation strategies
Richard W. Monroe*
College of Technology and Computer Science,
East Carolina University,
Greenville, NC 27858, USA
Jay M. Teets and P. Richard Martin
E. Craig Wall Sr. College of Business,
Coastal Carolina University,
Conway, SC 29528, USA
Abstract: Within the broader supply chain risk management research, supply
chain disruptions have become a topic of interest for academic researchers in
the last decade. This interest has been motivated by real world events which
have caused major disruptions around the world in global supply chains for
many major companies. Given the actual events that have occurred, there is an
obvious interest on the part of supply chain practitioners as well. This paper
will analyse the literature on supply chain disruptions for the past ten years to
develop a clearer understanding of supply chain risk. By analysing the
literature, this paper will organise the main concepts according to common
themes appearing in the supply chain risk management literature.
Keywords: supply chain risk; supply chain disruptions; SCD; risk mitigation;
supply chain risk probability.
Reference to this paper should be made as follows: Monroe, R.W., Teets, J.M.
and Martin, P.R. (2014) ‘Supply chain risk management: an analysis of sources
of risk and mitigation strategies’, Int. J. Applied Management Science, Vol. 6,
No. 1, pp.4–21.
Biographical notes: Richard W. Monroe is an Associate Professor in the
Distribution and Logistics Program in the College of Technology and
Computer Science at East Carolina University. He has presented more than 50
international, national and regional conference papers and he has more than a
dozen peer-reviewed journal publications. His research interests include supply
chain risk management, intermodal shipping and infrastructure issues. He is an
active member of POMS, CSCMP and APICS.
Jay M. Teets is an Associate Professor in the Management and Decision
Sciences Department in the Wall College of Business at Coastal Carolina
University. He has extensive industry experience and is an active member of
several professional organisations including the Decision Sciences Institute.
His research interests include supply chain risk management, intelligent
visualisation systems, distributed visual objects, and process monitoring web
Copyright © 2014 Inderscience Enterprises Ltd.