High earnings through firm influence: the role of hierarchical structures in public procurement
Image credit: CRiSS-LABResumen
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.
Publicación
EPJ Data Science, 14, 27
Cristian Candia
Profesor Asociado, Instituto de Data Science, Facultad de Ingeniería, Universidad del Desarrollo, Chile. Director de CRiSS-LAB.
Cristian Candia es científico social computacional y estudia el comportamiento humano y colectivo usando datos a gran escala, ciencia de redes, experimentos e inteligencia artificial.
