Identifying and governing Australia's supply chain risk: a Big Data approach

该项目旨在通过使用数据驱动的方法，将公司和供应链层面的数据库与国际贸易数据相结合，研究减轻澳大利亚经济中供应链风险的战略。该项目预计将产生一种利用大数据分析识别风险的创新方法，以及澳大利亚和该地区的全面供应链。该项目的预期成果包括一项新的政策战略以及一种可供政策制定者今后使用的新的经验方法。这将为澳大利亚政策制定者提供显著的好处，因为它确定了在管理供应链风险方面的相关经济权衡，确保了政策干预的有效针对性。

This project aims to investigate strategies for mitigating supply chain risk in the Australian economy, by using a data-driven methodology that combines firm and supply-chain level databases with international trade data. The project expects to generate an innovative method to identify risks, using Big Data analysis, as well as a comprehensive supply chain for Australia and the region. Expected outcomes of this project include a new policy strategy as well as a new empirical methodology that can be used by policymakers into the future. This should provide significant benefits to Australian policymakers by identifying relevant economic trade-offs in managing supply chain risk, ensuring that policy interventions are effectively targeted.