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

In: Digital Transformation for Sustainability

Author

Listed:
  • Ahmad Pajam Hassan

    (Oldenburg University
    Intuitive AI GmbH)

  • Jorge Marx Gómez

    (Oldenburg University)

  • Frank Passing

    (Intuitive AI GmbH)

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.

Suggested Citation

  • Ahmad Pajam Hassan & Jorge Marx Gómez & Frank Passing, 2022. "Analyzing Environmental Risks for Sustainable Supply Chains: A Geospatial Analytics Approach," Progress in IS, in: Jorge Marx Gómez & Maria Rosa Lorini (ed.), Digital Transformation for Sustainability, pages 535-556, Springer.
    • Handle: RePEc:spr:prochp:978-3-031-15420-1_26
    DOI: 10.1007/978-3-031-15420-1_26
    as

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