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Identifying risk issues and research advancements in supply chain risk management

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  • Tang, Ou
  • Nurmaya Musa, S.
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    Abstract

    The purpose of this paper is to investigate the research development in supply chain risk management (SCRM), which has shown an increasing global attention in recent years. Literature survey and citation/co-citation analysis are used to fulfil the research task. Literature survey has undertaken a thorough search of articles on selected journals relevant to supply chain operations management. Meanwhile, citation/co-citation analysis uses Web of Sciences database to disclose SCRM development between 1995 and 2009. Both the approaches show similar trends of rising publications over the past 15 years. This review has piloted us to identify and classify the potential risk associated with different flows, namely material, cash and information flows. Consequently, we identify some research gaps. Even though there is a pressing need and awareness of SCRM from industrial aspect, quantitative models in the field are relatively lacking and information flow risk has received less attention. It is also interesting to observe the evolutions and advancements of SCRM discipline. One finding is that the intellectual structure of the field made statistically significant increase during 2000-2005 and evolved from passively reacting to vague general issues of disruptions towards more proactively managing supply chain risk from system perspectives.

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    Bibliographic Info

    Article provided by Elsevier in its journal International Journal of Production Economics.

    Volume (Year): 133 (2011)
    Issue (Month): 1 (September)
    Pages: 25-34

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    Handle: RePEc:eee:proeco:v:133:y:2011:i:1:p:25-34

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    Web page: http://www.elsevier.com/locate/ijpe

    Related research

    Keywords: Supply chain Risk management Citation/co-citation analysis;

    References

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    1. Berger, Paul D. & Gerstenfeld, Arthur & Zeng, Amy Z., 2004. "How many suppliers are best? A decision-analysis approach," Omega, Elsevier, vol. 32(1), pages 9-15, February.
    2. Tapiero, Charles S., 2007. "Consumers risk and quality control in a collaborative supply chain," European Journal of Operational Research, Elsevier, vol. 182(2), pages 683-694, October.
    3. Bardia Kamrad & Akhtar Siddique, 2004. "Supply Contracts, Profit Sharing, Switching, and Reaction Options," Management Science, INFORMS, INFORMS, vol. 50(1), pages 64-82, January.
    4. Goh, Mark & Lim, Joseph Y.S. & Meng, Fanwen, 2007. "A stochastic model for risk management in global supply chain networks," European Journal of Operational Research, Elsevier, vol. 182(1), pages 164-173, October.
    5. Gérard P. Cachon, 2004. "The Allocation of Inventory Risk in a Supply Chain: Push, Pull, and Advance-Purchase Discount Contracts," Management Science, INFORMS, INFORMS, vol. 50(2), pages 222-238, February.
    6. Lode Li & Evan L. Porteus & Hongtao Zhang, 2001. "Optimal Operating Policies for Multiplant Stochastic Manufacturing Systems in a Changing Environment," Management Science, INFORMS, INFORMS, vol. 47(11), pages 1539-1551, November.
    7. Yu, Gang, 1997. "Robust economic order quantity models," European Journal of Operational Research, Elsevier, vol. 100(3), pages 482-493, August.
    8. Sounderpandian, Jayavel & Prasad, Sameer & Madan, Manu, 2008. "Supplies from developing countries: Optimal order quantities under loss risks," Omega, Elsevier, vol. 36(1), pages 122-130, February.
    9. Brian Tomlin, 2006. "On the Value of Mitigation and Contingency Strategies for Managing Supply Chain Disruption Risks," Management Science, INFORMS, INFORMS, vol. 52(5), pages 639-657, May.
    10. Agrell, P.J.Per J. & Lindroth, Robert & Norrman, Andreas, 2004. "Risk, information and incentives in telecom supply chains," International Journal of Production Economics, Elsevier, Elsevier, vol. 90(1), pages 1-16, July.
    11. Gerry Dickinson, 2001. "Enterprise Risk Management: Its Origins and Conceptual Foundation*," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan, vol. 26(3), pages 360-366, July.
    12. Tang, Christopher S., 2006. "Perspectives in supply chain risk management," International Journal of Production Economics, Elsevier, Elsevier, vol. 103(2), pages 451-488, October.
    13. Nagurney, Anna & Cruz, Jose & Dong, June & Zhang, Ding, 2005. "Supply chain networks, electronic commerce, and supply side and demand side risk," European Journal of Operational Research, Elsevier, vol. 164(1), pages 120-142, July.
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    Citations

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    Cited by:
    1. Rika Ampuh Hadiguna, 2012. "Decision support framework for risk assessment of sustainable supply chain," International Journal of Logistics Economics and Globalisation, Inderscience Enterprises Ltd, vol. 4(1/2), pages 35-54.
    2. Chiang, Chi, 2013. "A note on periodic review inventory models with stochastic supplier’s visit intervals and fixed ordering cost," International Journal of Production Economics, Elsevier, Elsevier, vol. 146(2), pages 662-666.
    3. Shao, Xiao-Feng, 2012. "Demand-side reactive strategies for supply disruptions in a multiple-product system," International Journal of Production Economics, Elsevier, Elsevier, vol. 136(1), pages 241-252.
    4. Ku, Cheng-Yuan & Chang, Yi-Wen, 2012. "Optimal production and selling policies with fixed-price contracts and contingent-price offers," International Journal of Production Economics, Elsevier, Elsevier, vol. 137(1), pages 94-101.
    5. Laurent Lim, Lâm & Alpan, Gülgün & Penz, Bernard, 2014. "Reconciling sales and operations management with distant suppliers in the automotive industry: A simulation approach," International Journal of Production Economics, Elsevier, Elsevier, vol. 151(C), pages 20-36.
    6. Matevž Rašković & Maja Makovec Brenčić & Anuška Ferligoj & Jan C. Fransoo, 2013. "Relationship learning as a dimension of relationship quality: tentative evidence from transnational buyer-supplier relationships," Tržište/Market, Faculty of Economics and Business, University of Zagreb, vol. 25(1), pages 37-50.

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