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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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