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Mangla, S., & Sarma, P. R. S., (2022). Resilience and

                                                                 Complexity Measurement for Energy Efficient Global

                                                                 Supply Chains in Disruptive Events.Technological

                                                                 Forecasting & Social Change.





          The whole world is faced with the
          COVID-19 epidemic  that causes major
          disruptions in global supply chains. The
          aim of study is to evaluate the effects of
          COVID-19 on energy efficient global
          supply chains (SCs) and to model the
          global supply chain resilience and
          energy management affected during
          the COVID-19 considering trade between
          Turkey and China, and Turkey and the EU.
          In this study, firstly using System
          Dynamics (SD) model, the behaviour of
                                                          From the learning effect perspective, it has been seen that the effect
          countries against COVID-19 for a certain
                                                          on  the economy  and foreign  trade  are  less  than  first  wave of
          period of time is observed, subsequently
                                                          pandemic even though the number of patients  originating in the
          the increase in complexity is analysed
                                                          second wave are higher. It means that countries responded to the
          with entropy measurement to determine
                                                          second wave of COVID-19 in a more resilient way. It is found that as
          whether the systems are resilient or not
                                                          a major finding of this study, perceived complexity of the system
          and to mark the differences arising from
                                                          decreases in the second wave because of the resilience of supply
          reporting in the first and second wave of
                                                          chain considering learning effect and centralized decision making
          the pandemic in the developed model. It
                                                          ensure increasing resilience and resilience measure in global supply
          is  determined that the second  wave
                                                          chains. The study is highly helpful for governments, decision makers
          reporting differences is less than first
                                                          and managers to understand and manage the impacts of COVID-19
          wave     reporting   differences   except
                                                          on global supply chains being resilient and energy efficient.
          Turkey.





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