Knowledge mapping of resilience and human rights in supply chains: a systematic review
Full Citation (APA):
Liu, Y., Zhang, Y., & Wang, L. (2023). Knowledge mapping of resilience and human rights in supply chains: A systematic review. Frontiers in Environmental Science, 11, 1152345.
Summary:
This peer-reviewed SCM article uses bibliometric mapping and a systematic review of 150+ studies to analyze research on supply chain resilience, identifying key themes like digital technologies for risk visualization and integrating human rights protections. The authors propose a taxonomy showing how tools like GIS mapping and data analytics can make supply chains more resilient while addressing worker exploitation and environmental justice—issues often hidden in traditional logistics models. It explicitly calls for interdisciplinary approaches that combine quantitative SCM data with qualitative narratives on social impacts.
Connection to DH:
This validates DH-SCM collaboration: SCM experts see value in DH-style “knowledge mapping” and visualization to reveal ethical/human dimensions of chains, just like our ibuprofen risk map.
Chetty, Raj, et al. (2014). Where is the Land of Opportunity? American Economic Review.
This study analyzed millions of U.S. tax records to examine intergenerational income mobility. The researchers used large datasets and statistical modeling to identify geographic patterns in economic opportunity. The study demonstrates how modern economics relies on digital data analysis to understand complex social systems. This aligns with Digital Humanities because both disciplines use computational tools and large datasets to analyze human behavior and present findings through data visualization.
