CLIMATE CHANGE AND RISK MANAGEMENT USING A FRAMEWORK OF SYSTEM DYNAMICS, BIG DATA ARCHITECTURE AND DATA ANALYTICS

It is pertinent to incorporate global risks like climate change into business projections. With the outburst of the COVID-19 pandemic, climate change has become more important than ever. Lockdowns all over the world have forced mankind to think of re-inventing business models. In the past, climate change, calamities, pandemics etc. were considered as a black swan event and treated with little rigor traditionally. However, the advent of COVID-19 this has changed. It has become important to bring these macro risks into main stream business risk. Access to information differentiates how we handle an operational risk and how we handle a macro risk. In this paper we propose a big data framework to incorporate climate change as part of risk management to improve decision making. The prevalent mode of handling climate change risks in business plans is elaborated, we explain why this is insufficient and how climate change is influencing stock prices of companies. We consider expert stakeholders view point and undertake data exploration on data from World Bank and World Resource Institute to identify the critical variables. These variables are used to select the risk indicators or triggers which could be used for real time data analytics. The framework takes a system dynamics approach to policy making, aimed at helping organizations handle climate change risks and align business policy accordingly.

               

KEYWORDS: Climate Change, Risk, System Dynamics, Big Data Analytics.


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