Skip to main content
SpringerLink
Log in

Research in Supply Chain Risk: Historical Roots and Future Perspectives

  • Chapter
  • First Online:
Revisiting Supply Chain Risk

Part of the book series: Springer Series in Supply Chain Management ((SSSCM,volume 7))

Abstract

Risk has always existed in business and networks—well before the terms supply chain and supply chain management became part of our lexicon. However, our understanding of supply chain risk only started to coalesce approximately twenty years ago. The purpose of this chapter is to highlight how "Revisiting Supply Chain Risk" serves as a bridge between our current knowledge of supply chain risk to where we believe the discipline will evolve.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 139.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 179.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Babich, V. R., & Hilary, G. (2018). Distributed ledgers and operations: What operations management researchers should know about blockchain technology. Georgetown McDonough School of Business Research Paper No. 3131250.

    Google Scholar 

  • Biswas, S., & Sen, J. (2016). A proposed architecture for big data driven supply chain analytics. International Journal of Supply Chain Management, 13(3), 7–34.

    Google Scholar 

  • Brindley, C. (2004). Supply Chain Risk. Williton, VT: Ashgate.

    Google Scholar 

  • Butner, K. (2010). The smarter supply chain of the future. Strategy & Leadership, 38(1), 22–31.

    Article  Google Scholar 

  • Delen, D., & Demirkan, H. (2013). Data, information and analytics as services. Decision Support Systems, 55(1), 359–363.

    Article  Google Scholar 

  • Evans, J. R. (2012). Business analytics: the next frontier for decision sciences. Decision Line, 43(2), 4–6.

    Google Scholar 

  • Güller, M., Koc, E., Hegmanns, T., Henke, M., & Noche, B. (2015). A simulation-based decision support framework for real-time supply chain risk management. International Journal of Advanced Logistics, 4(1), 17–26.

    Article  Google Scholar 

  • Henke, M. (2009). Supply risk management: Planung, Steuerung und Überwachung von Supply Chains. Berlin: Erich Schmidt Verlag.

    Google Scholar 

  • Henke, M., Blome, C., Seifert, M., Grötsch, V., & Sauerbier, M. (2010). Intensives Risikomanagement oder flexibles Krisenmanagement? Überlebensstrategien im Automobileinkauf in der Wirtschaftskrise. Wiesbaden: Supply Chain Management Institute (SMI).

    Google Scholar 

  • Jüttner, U., Peck, H., & Christopher, M. (2003). Supply chain risk management: Outlining an agenda for future research. International Journal of Logistics: Research and Applications, 6(4), 197–210.

    Article  Google Scholar 

  • Khan, O., & Zsidisin, G. A. (2012). Handbook for supply chain risk management: Case studies, effective practices and emerging trends. Fort Lauderdale, FL: J. Ross Publishing.

    Google Scholar 

  • Mitchell, V. W. (1995). Organizational risk perception and reduction: A literature review. British Journal of Management, 6(2), 115–133.

    Article  Google Scholar 

  • Norrman, A., & Jansson, U. (2004). Ericsson’s proactive supply chain risk management approach after a serious sub-supplier accident. International journal of physical distribution & logistics management, 34(5), 434–456.

    Article  Google Scholar 

  • Pettit, T. J., Fiksel, J., & Croxton, K. L. (2010). Ensuring supply chain resilience: Development of a conceptual framework. Journal of Business Logistics, 31(1), 1–21.

    Article  Google Scholar 

  • Raab, M., & Griffin-Cryan, B. (2011). Digital transformation of supply chains. White Paper: Capgemini Consulting.

    Google Scholar 

  • Rozados, I. V., & Tjahjono, B. (2014). Big data analytics in supply chain management: Trends and related research. In 6th International Conference on Operations and Supply Chain Management, Bali.

    Google Scholar 

  • Sanders, N. R. (2014). Big data driven supply chain management. A framework for implementing analytics and turning information into intelligence. Upper Saddle River, NJ: Pearson Education.

    Google Scholar 

  • Satyavolu, P., & Sangamnerkar, A. (2016). Blockchain’s smart contracts: Driving the next wave of innovation across manufacturing value chains. In Cognizant 20–20 Insights, June.

    Google Scholar 

  • Schrauf, S., & Bertram, P. (2017). Industry 4.0: How digitization makes the supply chain more efficient, agile, and customer-focused. Price Waterhouse Coopers Strategy.

    Google Scholar 

  • Seuring, S., & Müller, M. (2008). From a literature review to a conceptual framework for sustainable supply chain management. Journal of Cleaner Production, 16, 1699–1710.

    Article  Google Scholar 

  • Sodhi, M. S., & Tang, C. S. (2012). Managing supply chain risk (International Series in Operations Research & Management Science). New York: Springer.

    Google Scholar 

  • Svensson, G. (2000). A conceptual framework for the analysis of vulnerability in supply chains. International Journal of Physical Distribution & Logistics Management, 30(9), 731–750.

    Article  Google Scholar 

  • Svensson, G. (2002). Dyadic vulnerability in companies’ inbound and outbound logistics flows. International Journal of Logistics and Research Applications, 5(1), 13–44.

    Article  Google Scholar 

  • Tang, C. S. (2006). Perspectives in supply chain risk management. International Journal of Production Economics, 103(2), 451–488.

    Article  Google Scholar 

  • Tummala, R., & Schoenherr, T. (2011). Assessing and managing risks using the supply chain risk management process (SCRMP). Supply Chain Management: An International Journal, 16(6), 474–483.

    Article  Google Scholar 

  • Wang, G., Gunasekaran, A., Ngai, E. W. T., & Papadopoulos, T. (2016). Big data analytics in logistics and supply chain management. Certain investigations for research and applications. International Journal of Production Economics, 176, 98–110.

    Article  Google Scholar 

  • Wu, T., & Blackhurst, J. V. (2009). Managing supply chain risk and vulnerability: Tools and methods for supply chain decision makers. Berlin: Springer Science & Business Media.

    Book  Google Scholar 

  • Yoo, S. (2017). Blockchain based financial case analysis and its implications. Asia Pacific Journal of Innovation and Entrepreneurship, 11(3), 312–321.

    Article  Google Scholar 

  • Yu, M.-C., & Goh, M. (2014). A multi-objective approach to supply chain visibility and risk. European Journal of Operational Research, 233(1), 125–130.

    Article  Google Scholar 

  • Zsidisin, G. A. (2003). Managerial perceptions of supply risk. Journal of Supply Chain Management, 39(1), 14–25.

    Article  Google Scholar 

  • Zsidisin, G. A., & Ellram, L. M. (2003). An agency theory investigation of supply risk management. Journal of Supply Chain Management, 39(3), 15–27.

    Article  Google Scholar 

  • Zsidisin, G. A., Ellram, L. M., Carter, J. R., & Cavinato, J. L. (2004). An analysis of supply risk assessment techniques. International Journal of Physical Distribution & Logistics Management, 34(5), 397–413.

    Article  Google Scholar 

  • Zsidisin, G. A., Panelli, A., & Upton, R. (2000). Purchasing organization involvement in risk assessments, contingency plans, and risk management: An exploratory study. Supply Chain Management: An International Journal, 5(4), 187–197.

    Article  Google Scholar 

  • Zsidisin, G. A., & Ritchie, R. (2009). Supply chain risk: A handbook of assessment, management & performance. New York, NY: Springer International.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Supply Chain Management and Analytics, Virginia Commonwealth University, Richmond, USA

    George A. Zsidisin

  2. TU Dortmund University, Fraunhofer Institute for Material Flow and Logistics IML, Dortmund, Germany

    Michael Henke

Authors
  1. George A. Zsidisin
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Michael Henke
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to George A. Zsidisin .

Editor information

Editors and Affiliations

  1. Virginia Commonwealth University, Richmond, VA, USA

    George A. Zsidisin

  2. TU Dortmund University, Fraunhofer Institute for Material Flow and Logistics IML, Dortmund, Germany

    Michael Henke

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Zsidisin, G.A., Henke, M. (2019). Research in Supply Chain Risk: Historical Roots and Future Perspectives. In: Zsidisin, G., Henke, M. (eds) Revisiting Supply Chain Risk. Springer Series in Supply Chain Management, vol 7. Springer, Cham. https://doi.org/10.1007/978-3-030-03813-7_1

Download citation

Publish with us

Policies and ethics

Search

Navigation