Analyzing Environmental Risks for Sustainable Supply Chains: A Geospatial Analytics Approach

Ahmad Pajam Hassan (), Jorge Marx Gómez () and Frank Passing ()
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Ahmad Pajam Hassan: Oldenburg University
Jorge Marx Gómez: Oldenburg University
Frank Passing: Intuitive AI GmbH

A chapter in Digital Transformation for Sustainability, 2022, pp 535-556 from Springer

Abstract: Abstract Environmental issues, such as climate change, depletion of natural resources, hazardous emissions, waste, and extreme weather are increasing global concerns in society and business. According to World Economic Forum’s Global Risk Survey, environmental issues have the highest likelihood to impact business. Therefore, companies need to address environmental protection and sustainable supply chains (Sustainable Development Goal 9). Especially in times of globalization supply chains are complex and companies are facing challenges integrating environmental risk data into their business processes, because environmental risk events are not linked to their supply chains. In this article, we present a novel approach by applying geospatial analytics to public environmental risk warnings to enhance the process of supply chain risk management in business.

Keywords: CSR; Sustainabile supply chains; BDA; Geospatial analysis; Risk analytics; Risk management (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-031-15420-1_26

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DOI: 10.1007/978-3-031-15420-1_26

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