Developing a causal model of factors influencing supply chain resilience

Document Type : Scientific Paper

Authors

1 Department of Operations and Supply Chain Management, Faculty of Management, Tabriz University, Tabriz, Iran

2 Department of Management, Faculty of Management and Economics, Tabriz University, Tabriz, Iran

Abstract

Factors such as political issues, demand fluctuations, technological changes, financial
instability, natural disasters, and more importantly the competitive environment of the business,
increase the uncertainty and risks in the supply chain. Management of such risks, namely,
resilient supply chain, is one of the current challenges of organizations. Therefore, organizations
need to design and understand the dynamics of factors affecting supply chain resiliency to
formulate sustainability strategies. In this research, by investigating related literature, the related
components of the resilient supply chain and balanced scorecard have been identified to map the
causes and effects of resilient supply chain with the Meta-synthesis approach, which have been
confirmed by experts. The results were categorized into three categories and ten dimensions with
83 codes. Finally, by the help of the results and the relationships between them, the causal model
of the factors influencing resilient supply chain has been developed. The diagram prepared in
this research provides an overview for supply chain managers by considering the dynamics of
parameters affecting policy making. Effective key components to reduce recovery time and
increase resilience have been identified based on field studies, which have highlighted the
importance of risk management in resilience through supply chain agility, reengineering,
integration and flexibility which is strengthened by investing in the development of
organization's growth and learning.

Keywords

References

[1] Altay, N., Ramirez, A., Impact of disasters on firms in different sectors: implications for supply chains. J. Supply Chain Manag. 46 (4) , 59–80. 2010.
 
[2] Bode, Paul, & A. Bahcall, Neta, & B. Ford, Eric, & P. Ostriker, Jeremiah., Evolution of the Cluster Mass Function: Gpc3 Dark Matter Simulations. The Astrophysical Journal, 551, 15-22. 2001.
 
[3] Gulati, R., Nohrian, N., Zaheer, A., Introduction to the special issue: strategic networks. Strategic Management Journal, 21: 199–201. 2000.
 
[4] Hindle, T., Guide to management ideas and gurus: John Wiley & Sons, 2008.
 
[5] Sawik T., "Selection of resilient supply portfolio under disruption risks", Omega, 41: 259–69. 2013.
 
[6] Ponomarov, S. Y., & Holcomb, M. C., Understanding the concept of supply chain resilience. International Journal of Logistics
 
[7] Christopher, M., & Peck, H., Building the resilient supply chain. Int. J. Logist. Manage. 15 (2), 1–14. 2004.
 
[8] Wang, J., Dou, R., Muddada, R. R., &
Zhang, W., Management of a holistic supply
chain network for proactive resilience: Theory and case study. Computers & Industrial Engineering, 125, 668-677. 2017.
[9] جعفرنژاد، احمد، و محسنی، مریم، ارائه چارچوبی برای بهبود عملکرد زنجیره تأمین تاب‏آور. فصلنامه علمی ترویجی مدیریت زنجیره تأمین، 17 (48)، 38-51، 1394.
[10] Lambert, D. M., J. R. Stock, and L. M. Ellram, Fundamentals of Logistics Management, Irwin/McGraw-Hill, Boston, MA, 1998.
 
[11] Lambert, D. M., & Cooper, M. C., Issues in Supply Chain Management. Industrial Marketing Management, 29(1), 65–83, 2000.
[12] Mills, J., Schmitz, J. and Frizelle, G., A Strategic Review of Supply Networks. International Journal of Operations & Production Management, 24, 1012-1036, 2004.
 
 [13] Towill, D. R., The seamless supply chain the predator's strategic advantage. International Journal of Technology Management, 13 (1), 37-56. 1997.
 
[14] Towill, D. R., Naim, M. M., & Wikner, J., Industrial dynamics simulation models in the design of supply chains. International Journal of Physical Distribution & Logistics Management, 22 (5) , 3-13. 1992.
 
[15] Haeuptle MA, Hennet T: Congenital disorders of glycosylation: an updateon defects affecting the biosynthesis of dolichol-linked oligosaccharides. Human mutation, 30:1628-1641, 2009.
[16] Wolf, J., The nature of supply chain management research. Frankfurt: Gabler-Verlag, 2008.
 
[17] Zsidisin, G.A., Ellram, L.M., An agency theory investigation of supply risk management. The Journal of Supply Chain Management: A Global Review of Purchasing and Supply Summer 2003, 15-27. 2003.
 [18] Kaplan, R. S., Norton, D. P., The Balanced Scorecard- Measures that drive performance. Harvard Business Publishing, 1992.
[19] تربتی، امیر، محمدعلی ارسنجانی و محسن فیروزشاهی، تدوین نقشۀ استراتژی مدیریت زنجیرۀ تأمین با تلفیق نمودار حلقۀ علی و کارت امتیازی متوازن، مدل‌سازی درمهندسی، 4، 151-165، 1394.
 
[20] آقاجانی، حسنعلی؛ روانستان، کاظم،؛ قادیکلایی، عبدالحمید صفایی؛ یحیی زاده فر، محمود، طراحی مدل تاب‏آوری در زنجیره تأمین ایران خودرو با رویکرد مدل معادلات ساختاری و تکنیک‏های کیفی. فصلنامه مدیریت صنعتی دانشکده علوم انسانی واحد سنندج، 12 (40)، 49-62، 1396.

Files

History

  • Receive Date: 06 April 2020
  • Revise Date: 26 April 2020
  • Accept Date: 26 July 2020
  • Publish Date: 17 December 2020

Share

How to cite

Statistics