High earnings through firm influence: the role of hierarchical structures in public procurement
Image credit: CRiSS-LABAbstract
Public procurement markets are highly structured networks. Using over one million Portuguese public procurement contracts, this article shows that modularity, hierarchy, specialization, and firms’ network influence help explain which firms achieve higher earnings per bid.
Type
Publication
EPJ Data Science, 14, 27
Cristian Candia
Associate Professor, Data Science Institute, School of Engineering, Universidad del Desarrollo, Chile. Head of CRiSS-LAB.
Cristian Candia studies how societies transform information into collective relevance through attention, memory, preferences, and coordination. His work combines computational social science, network science, AI, and large-scale behavioral data to understand how groups, institutions, and societies decide what matters.
