[
Alicke, K., Gupta, R., & Trautwein, V. (2020). The coronavirus pandemic’s unprecedented tests are inspiring companies to consider bold moves in rebuilding their supply chains for the future. Retrieved September 20, 2020, from https://www.mckinsey.com/business-functions/operations/our-insights/resetting-supply-chains-for-the-next-normal#
]Search in Google Scholar
[
Anthony Jnr, B., & Abbas Petersen, S. (2020). Examining the digitalization of virtual enterprises amidst the COVID-19 pandemic: a systematic and meta-analysis. Enterprise Information Systems, 1-34. https://doi.org/10.1080/17517575.2020.1829075
]Search in Google Scholar
[
Araz, O.M., Choi, T.M., Olson, D., & Salman, F.S. (2020). Data analytics for operational risk management. Decision Sciences. 51(6), 1316-1319. https://doi.org/10.1111/deci.12443
]Search in Google Scholar
[
Aviv, Y. (2001). The effect of collaborative forecasting on supply chain performance. Management Science, 47(10), 1326-1343.
]Search in Google Scholar
[
Azadegan, A., & Jayaram, J. (2018). Resiliency in Supply Chain Systems: A Triadic Framework Using Family Resilience Model. In Y. Khojasteh (ed.), Supply Chain Risk Management, Singapore: Springer.
]Search in Google Scholar
[
Baumgartner, T., Malik, Y., & Padhi, A. (August 12, 2020). Reimagining industrial supply chains. McKinsey and Company. Retrieved on November 27, 2020, from https://www.mckinsey.com/industries/advanced-electronics/our-insights/reimagining-industrial-supply-chains
]Search in Google Scholar
[
Blackhurst, J.V., Scheibe, K.P., & Johnson, D.J. (2008). Supplier risk assessment and monitoring for the automotive industry. International Journal of Physical Distribution and Logistics Management, 38, 143–165.
]Search in Google Scholar
[
Bogataj, D., & Bogataj, M. (2007). Measuring the supply chain risk and vulnerability in frequency space. International Journal of Production Economics, 108, 291–301.
]Search in Google Scholar
[
Brandon-Jones, E., Squire, B., & Van Rossenberg, Y.G. (2015). The impact of supply base complexity on disruptions and performance: the moderating effects of slack and visibility. International Journal of Production Research, 53(22), 6903-6918.
]Search in Google Scholar
[
Bratianu, C., & Bejinaru, R. (2020). Knowledge dynamics: a thermodynamics approach. Kybernetes, 49(1), 6-21. https://doi.org/10.1108/K-02-2019-0122
]Search in Google Scholar
[
Bratianu, C., & Vatamanescu, E.M. (2017). Students’ perception in developing generic skills for business: a knowledge approach. VINE Journal of Information and Knowledge Management Systems, 47(4), 490-505. https://doi.org/10.1108/VJKMS-11-2016-0065
]Search in Google Scholar
[
Brennen, S., & Kreiss, D. (2014). Digitalization and digitization. Culture digitally, September 8. Retrieved from https://culturedigitally.org/2014/09/digitalization-and-digitization/.
]Search in Google Scholar
[
Busse, C., Kach, A.P., & Bode, C. (2016). Sustainability and the false sense of legitimacy: How institutional distance augments risk in global supply chains. Journal of Business Logistics, 37(4), 312-328. https://doi.org/10.1111/jbl.12143
]Search in Google Scholar
[
Carpenter, S., Walker, B., Anderies, J., & Abel, N. (2001). From Metaphor to Measurement: Resilience of What to What?. Ecosystems, 4(8), 765–81.
]Search in Google Scholar
[
Chen, I.J. (2001). Planning for ERP systems: analysis and future trend. Business Process Management Journal, 7(5), 374-386. https://doi.org/10.1108/14637150110406768
]Search in Google Scholar
[
Chew, D.S.H., Choi, K.P., Heidner, H., & Leung, M.Y. (2004). Palindromes in SARS and other coronaviruses. INFORMS Journal on Computing, 16(4), 331–340. https://doi.org/10.1287/ijoc.1040.0087
]Search in Google Scholar
[
Choi, T.M., Guo, S., & Luo, S. (2020). When blockchain meets social-media: Will the result benefit social media analytics for supply chain operations management? Transportation Research Part E: Logistics and Transportation Review, 135, 101860.
]Search in Google Scholar
[
Chopra, S., & Sodhi, M. S. (2004). Supply-chain breakdown. MIT Sloan Management Review, 46(1), 53-61.
]Search in Google Scholar
[
Christopher, M., & Peck, H. (2004). Building the Resilient Supply Chain. International Journal of Logistics Management, 15(2), 1–13.
]Search in Google Scholar
[
Closs, D.J., & McGarrell, E.F. (2004). Enhancing security throughout the supply chain (pp.10-12). Washington, DC: IBM Center for the Business of Government.
]Search in Google Scholar
[
Coker, R., Rushton, J., Mounier-Jack, S., Karimuribo, E., Lutumba, P., Kambarage, D., & Rweyemamu, M. (2011). Towards a conceptual framework to support one-health research for policy on emerging zoonoses. The Lancet Infectious Diseases, 11(4), 326-331.
]Search in Google Scholar
[
Cortez, R.M., & Johnston, W.J. (2020). The Coronavirus crisis in B2B settings: Crisis uniqueness and managerial implications based on social exchange theory. Industrial Marketing Management, 88, 125-135. https://doi.org/10.1016/j.indmarman.2020.05.004
]Search in Google Scholar
[
Craighead, C.W., Blackhurst, J., Rungtusanatham, M.J., & Handfield, R.B. (2007). The severity of supply chain disruptions: design characteristics and mitigation capabilities. Decision Sciences, 38(1), 131-156.
]Search in Google Scholar
[
Christopher, M., & Peck, H. (2004). Building the resilient supply chain. The International Journal of Logistics Management, 15, 1–13.
]Search in Google Scholar
[
Currie, C.S., Fowler, J.W., Kotiadis, K., Monks, T., Onggo, B.S., Robertson, D.A., & Tako, A.A. (2020). How simulation modelling can help reduce the impact of COVID-19. Journal of Simulation, 14(2), 83-97. https://doi.org/10.1080/17477778.2020.1751570
]Search in Google Scholar
[
Dolgui, A., Ivanov, D., & Rozhkov, M. (2020). Does the ripple effect influence the bullwhip effect? An integrated analysis of structural and operational dynamics in the supply chain. International Journal of Production Research, 58(5), 1285-1301. https://doi.org/10.1080/00207543.2019.1627438
]Search in Google Scholar
[
Eisenhower, D. (1957). A speech to the National Defense Executive Reserve Conference in Washington, DC, November 14, 1957. Public Papers of the Presidents of the United States, Dwight D. Eisenhower, 818.
]Search in Google Scholar
[
Fahimnia, B., Pournader, M., Siemsen, E., Bendoly, E., & Wang, C. (2019). Behavioral operations and supply chain management-a review and literature mapping. Decision Sciences, 50(6), 1127-1183. https://doi.org/10.1111/deci.12369
]Search in Google Scholar
[
Fiksel, J. (2006). Sustainability and Resilience: Toward a Systems Approach. Sustainability: Science, Practice and Policy, 2(2), 14–21. https://doi.org/10.1080/15487733.2006.11907980
]Search in Google Scholar
[
Fisher, M. (1997). What is the right supply chain for your product?. Harvard Business Review, 75(2), 105-116.
]Search in Google Scholar
[
Flynn, B.B., Schroeder, R.G., & Sakakibara, S. (1995). The impact of quality management practices on performance and competitive advantage. Decision Sciences, 26(5), 659-691.
]Search in Google Scholar
[
Gaur, V., & Gaiha, A. (2020). Building a Transparent Supply Chain Blockchain can enhance trust, efficiency, and speed. Harvard Business Review, 98(3), 94-103.
]Search in Google Scholar
[
Georgiadis, P., Vlachos, D., & Tagaras, G. (2006). The impact of product lifecycle on capacity planning of closed-loop supply chains with remanufacturing. Production and Operations Management, 15(4), 514-527.
]Search in Google Scholar
[
Gereffi, G., & Lee, J. (2012). Why the world suddenly cares about global supply chains. Journal of Supply Chain Management, 48(3), 24-32. https://doi.org/10.1111/j.1745-493X.2012.03271.x
]Search in Google Scholar
[
Gilly, J.P., Kechidi, M., & Talbot, D. (2014). Resilience of organisations and territories: The role of pivot firms. European Management Journal, 32(4), 596-602. https://doi.org/10.1016/j.emj.2013.09.004
]Search in Google Scholar
[
Golan, M.S., Jernegan, L.H., & Linkov, I. (2020). Trends and applications of resilience analytics in supply chain modeling: systematic literature review in the context of the COVID-19 pandemic. Environment Systems & Decisions, 40, 222–243. https://doi.org/10.1007/s10669-020-09777-w
]Search in Google Scholar
[
Golicic, S., Flint, D., & Signori, P. (2017). Building Business Sustainability through Resilience in the Wine Industry. International Journal of Wine Business Research, 29(1), 74–97. https://doi.org/10.1108/IJWBR-02-2016-0005
]Search in Google Scholar
[
Govindan, K., Azevedo, S., Carvalho, H., & Cruz-Machado, V. (2015). Lean, Green and Resilient Practices Influence on Supply Chain Performance: Interpretive Structural Modeling Approach. International Journal of Environmental Science and Technology, 12(1), 15–34. https://doi.org/10.1007/s13762-013-0409-7
]Search in Google Scholar
[
Govindan, K., Fattahi, M., & Keyvanshokooh, E. (2017). Supply chain network design under uncertainty: A comprehensive review and future research directions. European Journal of Operational Research, 263(1), 108-141. https://doi.org/10.1016/j.ejor.2017.04.009
]Search in Google Scholar
[
Hahn, J. (2015). Report: Wearable device shipments to surpass 214 million in 2019. Digital Trends, December 20. Retrieved from http://www.digitaltrends.com/android/apple-watch-leads-smartwatchmarket-61-percent-share-android-wear-gaining-ground/.
]Search in Google Scholar
[
Handfield, R.B., Graham, G., & Burns, L. (2020). Corona virus, tariffs, trade wars and supply chain evolutionary design. International Journal of Operations & Production Management, 40(10), 1649-1660. https://doi.org/10.1108/IJOPM-03-2020-0171
]Search in Google Scholar
[
Harland, C., Brenchley, R., & Walker, H. (2003). Risk in supply networks. Journal of Purchasing and Supply Management, 9, 51–62.
]Search in Google Scholar
[
Heinonen, K., & Strandvik, T. (2020). Reframing service innovation: COVID-19 as a catalyst for imposed service innovation. Journal of Service Management. ahead-of-print. https://doi.org/10.1108/JOSM-05-2020-0161
]Search in Google Scholar
[
Hendricks, K.B., & Singhal, V.R. (2005). An empirical analysis of the effect of supply chain disruptions on long-run stock price performance and equity risk of the firm. Production and Operations Management, 14(1), 35-52.
]Search in Google Scholar
[
Hendricks, K.B., Singhal, V.R., & Zhang, R. (2009). The effect of operational slack, diversification, and vertical relatedness on the stock market reaction to supply chain disruptions. Journal of Operations Management, 27(3), 233-246.
]Search in Google Scholar
[
Hillman, A.J., Withers, M.C., & Collins, B.J. (2009). Resource dependence theory: A review. Journal of Management, 35(6), 1404-1427.
]Search in Google Scholar
[
Holling, C.S. (1973). Resilience and stability of ecological systems. Annual Review of Ecology and Systematics, 4(1), 1-23.
]Search in Google Scholar
[
Holling, C.S. (1996). Engineering resilience versus ecological resilience. In P.C. Schulze (Ed.), Engineering within ecological constraints. Washington D.C.: National Academy Press.
]Search in Google Scholar
[
Hosseini, S., Ivanov, D., & Dolgui, A. (2019). Review of quantitative methods for supply chain resilience analysis. Transportation Research Part E: Logistics and Transportation Review, 125, 285-307. https://doi.org/10.1016/j.tre.2019.03.001
]Search in Google Scholar
[
Hutchins, G. (1992). Purchasing strategies for total quality: A guide to achieving continuous improvement. Homewood, IL: Irwin.
]Search in Google Scholar
[
Ivanov D. (2020). Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case. Transportation research. Part E, Logistics and transportation review, 136, 101922. https://doi.org/10.1016/j.tre.2020.101922
]Search in Google Scholar
[
Ivanov, D., & Dolgui, A. (2020). A digital supply chain twin for managing the disruptions risks and resilience in the era of Industry 4.0. Production Planning and Control. https://doi.org/10.1080/09537287.2020.1768450.
]Search in Google Scholar
[
Ivanov, D., Dolgui, A., Sokolov, B., Werner, F., & Ivanova, M. (2016). A dynamic model and an algorithm for short-term supply chain scheduling in the smart factory industry 4.0. International Journal of Production Research, 54(2), 386-402. https://doi.org/10.1080/00207543.2014.999958
]Search in Google Scholar
[
Ivanov, D., & B. Sokolov (2013). Control and system-theoretic identification of the supply chain dynamics domain for planning, analysis, and adaptation of performance under uncertainty. European Journal of Operational Research, 224(2), 313–323. https://doi.org/10.1016/j.ejor.2012.08.021
]Search in Google Scholar
[
Ju ttner, U., Peck, H., & Christopher, M. (2003). Supply chain risk management: Outlining an agenda for future research. International Journal of Logistics: Research and Applications, 6, 197–210.
]Search in Google Scholar
[
Klaus, Ph., & Manthiou, A. (2020). Applying the EEE customer mindset in luxury: reevaluating customer experience research and practice during and after corona. Journal of Service Management, 31(6), 1175-1183. https://doi.org/10.1108/JOSM-05-2020-0159
]Search in Google Scholar
[
Klepper, S. (1996). Entry, exit, growth, and innovation over the product life cycle. The American Economic Review, 86(3), 562-583.
]Search in Google Scholar
[
Kovach, J.J., Hora, M., Manikas, A., & Patel, P. C. (2015). Firm performance in dynamic environments: The role of operational slack and operational scope. Journal of Operations Management, 37, 1-12.
]Search in Google Scholar
[
Kumar, S. (2012). Planning for avian flu disruptions on global operations: A DMAIC case study. International Journal of Health Care Quality Assurance, 25(3), 197-215. http://dx.doi.org.tamusa.idm.oclc.org/10.1108/09526861211210420
]Search in Google Scholar
[
Kumar, S.K., Tiwari, M.K., & Babiceanu, R.F. (2010). Minimisation of supply chain cost with embedded risk using computational intelligence approaches. International Journal of Production Research, 48(13), 3717–3739.
]Search in Google Scholar
[
Lee, H.L., Padmanabhan, V., & Whang, S. (1997). Information distortion in a supply chain: The bullwhip effect. Management Science, 43(4), 546-558.
]Search in Google Scholar
[
Lin, F.R., & Shaw, M.J. (1998). Reengineering the order fulfillment process in supply chain networks. International Journal of Flexible Manufacturing Systems, 10(3), 197-229.
]Search in Google Scholar
[
Lin, Y., & Zhou, L. (2011). The impacts of product design changes on supply chain risk: A case study. International Journal of Physical Distribution and Logistics Management, 41, 162–186.
]Search in Google Scholar
[
Linkov, I., & Florin, M. (eds.) (2016). IRGC Resource Guide on Resilience. Lausanne, CH: International Risk Governance Center. Retrieved September 2020 from https://www.irgc.org/riskgovernance/resilience/.
]Search in Google Scholar
[
Liu, Z.G., & Nagurney, A. (2011). Supply chain outsourcing under exchange rate risk and competition. Omega, 39, 539–549.
]Search in Google Scholar
[
MacCarthy, B.L., Blome, C., Olhager, J., Srai, J.S., & Zhao, X. (2016). Supply chain evolution– theory, concepts and science. International Journal of Operations & Production Management, 36(12), 1696-1718. https://doi.org/10.1108/IJOPM-02-2016-0080
]Search in Google Scholar
[
Manuj, I., & Mentzer, J.T. (2008). Global supply chain risk management strategies. International Journal of Physical Distribution and Logistics Management, 38, 192–223.
]Search in Google Scholar
[
March, J.G., & Shapira, Z. (1987). Managerial perspectives on risk and risk taking. Management Science, 33(11), 1404-1418.
]Search in Google Scholar
[
Marsden, T., Banks, J., & Bristow, G. (2000). Food supply chain approaches: exploring their role in rural development. Sociologia Ruralis, 40(4), 424-438.
]Search in Google Scholar
[
Morgan, T., Anokhin, S., Ofstein, L., & Friske, W. (2020). <? covid19?> SME response to major exogenous shocks: The bright and dark sides of business model pivoting. International Small Business Journal, 38(5), 369-379.
]Search in Google Scholar
[
Nigmatulina, K.R., & Larson, R.C. (2009). Living with infuenza: Impacts of government imposed and voluntarily selected interventions. European Journal of Operational Research, 195(2), 613–627. https://doi.org/10.1016/j.ejor.2008.02.016
]Search in Google Scholar
[
Nishiguchi, T. (1994). Strategic industrial sourcing: The Japanese advantage. New York, NY: Oxford University Press.
]Search in Google Scholar
[
Olson, D. L., & Wu, D. D. (2010). A review of enterprise risk management in supply chain. Kybernetes, 39, 694–706.
]Search in Google Scholar
[
Paul, S., & Venkateswaran, J. (2020). Designing robust policies under deep uncertainty for mitigating epidemics. Computers & Industrial Engineering, 140, 106221. https://doi.org/10.1016/j.cie.2019.106221
]Search in Google Scholar
[
Paulraj, A., & Chen, I.J. (2007). Strategic buyer–supplier relationships, information technology and external logistics integration. Journal of Supply Chain Management, 43(2), 2-14.
]Search in Google Scholar
[
Pavlov, A., Ivanov, D., Pavlov, D., & Slinko, A. (2019). Optimization of network redundancy and contingency planning in sustainable and resilient supply chain resource management under conditions of structural dynamics. Annals of Operations Research, 1-30. https://doi.org/10.1007/s10479-019-03182-6
]Search in Google Scholar
[
Pettit, T.J., Croxton, K.L., & Fiksel, J. (2019). The evolution of resilience in supply chain management: a retrospective on ensuring supply chain resilience. Journal of Business Logistics, 40(1), 56-65. https://doi.org/10.1111/jbl.12202
]Search in Google Scholar
[
Ponomarov, S.Y., & Holcomb, M.C. (2009). Understanding the concept of supply chain resilience. The International Journal of Logistics Management.
]Search in Google Scholar
[
Pournader, M., Rotaru, K., Kach, A., & Hajiagha, S. (2016). An Analytical Model for System-Wide and Tier-Specific Assessment of Resilience to Supply Chain Risks. Supply Chain Management: An International Journal, 21(5), 589–609. https://doi.org/10.1108/SCM-11-2015-0430
]Search in Google Scholar
[
Prasad, E., & Wu, E (2020). April 2020 update to TIGER. The coronavirus collapse is upon us. Retrieved September 20, 2020, from https://www.brookings.edu/research/april-2020-update-to-tiger-the-coronavirus-collapse-is-upon-us/.
]Search in Google Scholar
[
Queiroz, M.M., Ivanov, D., Dolgui, A., & Wamba, S.F. (2020). Impacts of epidemic outbreaks on supply chains: mapping a research agenda amid the COVID-19 pandemic through a structured literature review. Annals of Operations Research, 1-38. https://doi.org/10.1007/s10479-020-03685-7
]Search in Google Scholar
[
Ravindran, A.R., Bilsel, R.U., Wadhwa, V., & Yang, T. (2010). Risk adjusted multicriteria supplier selection models with applications. International Journal of Production Research, 48, 405–424.
]Search in Google Scholar
[
Reynolds, J.G., & Warfield, W.H. (2010). Discerning the differences between managers and leaders. The Education Digest, 75(7), 61.
]Search in Google Scholar
[
Russo, B., Sun-Basorun, A., & Van Wamelen, A. (2012). The rise of the African consumer. McKinsey Global Institute, McKinsey Report, October 2012.
]Search in Google Scholar
[
Sarkar, A., & Mohapatra, P.K. (2006). Evaluation of supplier capability and performance: A method for supply base reduction. Journal of Purchasing and supply management, 12(3), 148-163.
]Search in Google Scholar
[
Sawik, T. (2011). Selection of supply portfolio under disruption risks. Omega, 39(2), 194-208.
]Search in Google Scholar
[
Schatteman, O., Woodhouse, D., & Terino, J. (2020). Supply chain lessons from Covid-19: Time to refocus on resilience. Bain & Company, Inc., Boston, MA. 1-12. Retrieved on November 27, 2020, from https://www.bain.com/insights/supply-chain-lessons-from-covid-19/.
]Search in Google Scholar
[
Scholten, K., Stevenson, M., & van Donk, D.P. (2019). Dealing with the unpredictable: supply chain resilience. International Journal of Operations & Production Management, 40(1), 1–10.
]Search in Google Scholar
[
Schrage, M. (2020). Data, Not Digitalization, Transforms the Post- Pandemic Supply Chain. MIT Sloan Management Review, 29th July.
]Search in Google Scholar
[
Sheffi, Y. (2005). The Resilient Enterprise: Overcoming Vulnerability for Competitive Advantage. Cambridge, MA: MIT Press.
]Search in Google Scholar
[
Sheth, J. (2020). Business of business is more than business: Managing during the Covid crisis. Industrial Marketing Management. 88, 261-264. https://doi.org/10.1016/j.indmarman.2020.05.028
]Search in Google Scholar
[
Shreve, C., Davis, B., & Fordham, M. (2016). Integrating animal disease epidemics into disaster risk management. Disaster Prevention and Management, 25(4), 506–519. https://doi.org/10.1108/DPM-10-2015-0241
]Search in Google Scholar
[
Smith, E (2020). Coronavirus could impact 5 million companies worldwide, new research shows. Retrieved March 20, 2020, from https://www.cnbc.com/2020/02/17/coronavirus-could-impact-5-million-companies-worldwide-research-shows.html.
]Search in Google Scholar
[
Sodhi, M.S., Son, B.G., & Tang, C.S. (2012). Researchers’ perspectives on supply chain risk management. Production and Operations Management, 21(1), 1-13. https://doi.org/10.1111/j.1937-5956.2011.01251.x
]Search in Google Scholar
[
Stogdill, R.M. (1974). Handbook of leadership: A survey of theory and research. Free Press.
]Search in Google Scholar
[
Tang, CS. (2005). Perspectives in supply chain risk management: a review. Perspectives in Supply Chain Risk Management: A Review (November 3, 2005).
]Search in Google Scholar
[
Tang, C.S. (2006). Perspectives in supply chain risk management. International Journal of Production Economics, 103(2), 451–488.
]Search in Google Scholar
[
Tang, C., & Tomlin, B. (2008). The power of flexibility for mitigating supply chain risks. International Journal of Production Economics, 116(1), 12-27.
]Search in Google Scholar
[
Tomlin, B. (2006). On the value of mitigation and contingency strategies for managing supply chain disruption risks. Management Science, 52(5), 639-657.
]Search in Google Scholar
[
Toor, S.U.R. (2011). Differentiating leadership from management: An empirical investigation of leaders and managers. Leadership and Management in Engineering, 11(4), 310-320.
]Search in Google Scholar
[
Trkman, P., & McCormack, K. (2009). Supply chain risk in turbulent environments: A conceptual model for managing supply chain network risk. International Journal of Production Economics, 119, 247–258.
]Search in Google Scholar
[
Tsai, C.Y. (2008). On supply chain cash flow risks. Decision Support Systems, 44, 1031–1042.
]Search in 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, 474–483.
]Search in Google Scholar
[
Tuzovic, S., & Kabadayi, S. (2020). The influence of social distancing on employee well-being: A conceptual framework and research agenda. Journal of Service Management. ahead-of-print. https://doi.org/10.1108/JOSM-05-2020-0140
]Search in Google Scholar
[
Vakharia, A.J., & Yenipazarli, A. (2009). Managing supply chain disruptions. Foundations and Trends in Technology, Information, and Operations Management, 2, 243–325.
]Search in Google Scholar
[
Waller, M., Johnson, M.E., & Davis, T. (1999). Vendor-managed inventory in the retail supply chain. Journal of Business Logistics, 20, 183-204.
]Search in Google Scholar
[
Wang, Y., Wallace, S.W., Shen, B., & Choi, T.M. (2015). Service supply chain management: A review of operational models. European Journal of Operational Research, 247(3), 685-698. https://doi.org/10.1016/j.ejor.2015.05.053
]Search in Google Scholar
[
Wagner, S.M., & Bode, C. (2008). An empirical examination of supply chain performance along several dimensions of risk. Journal of Business Logistics, 29, 307–325.
]Search in Google Scholar
[
Windrum, P., & Birchenhall, C. (1998). Is product life cycle theory a special case? Dominant designs and the emergence of market niches through coevolutionary-learning. Structural Change and Economic Dynamics, 9(1), 109-134.
]Search in Google Scholar
[
World Economic Forum (WEF) (2020). How China can rebuild global supply chain resilience after COVID-19. Retrieved April 5, 2020, from https://www.weforum.org/agenda/2020/03/coronavirus-and-global-supply-chains/.
]Search in Google Scholar
[
Wu, T., Blackhurst, J., & Chidambaram, V. (2006). A model for inbound supply risk analysis. Computers in Industry, 57, 350–365.
]Search in Google Scholar
[
Xu, S., Zhang, X., Feng, L., & Yang, W. (2020). Disruption risks in supply chain management: a literature review based on bibliometric analysis. International Journal of Production Research, 58(11), 3508-3526. https://doi.org/10.1080/00207543.2020.1717011
]Search in Google Scholar
[
Zhao K., Zuo Z., & Blackhurst J.V. (2019). Modelling supply chain adaptation for disruptions: An empirically grounded complex adaptive systems approach. Journal of Operations Management, 65(2), 190-212. https://doi.org/10.1002/joom.1009
]Search in Google Scholar
and 