This study describes a data-driven visualization approach to the systemic study of innovations in global supply chain networks. We demonstrate its applicability with illustrative examples of a real-world supply chain in the electronics industry. Our visualization approach enhances the hypothesis-generating process as it can reveal important clusters, patterns, trends, and outliers in the networks.
![](https://gvu.gatech.edu/sites/default/files/research_lab_images/computational_enterprise_science_lab_cropped.png)
The Computational Enterprise Science Lab focuses on the design, analysis, and management of complex enterprise systems (e.g. organizations, supply chains, business ecosystems) using information visualization, modeling/simulation, and system science approaches.