Traceability Technology Adoption in Supply Chain Networks

Modern traceability technologies promise to improve supply chain management by simplifying recalls, increasing demand visibility, or ascertaining sustainable supplier practices. Managers in the initiatives developing such face a difficult question: which companies should they target as early adopters ensure that their technology is broadly employed? To answer this question, managers must consider chains are interlinked complex networks and effect inherent technologies. More specifically, benefits obtained from conditional on adoption throughout product's chain. We introduce model of dynamics tackle problem selecting smallest set guaranteeing broad dissemination. Our builds extant diffusion models while incorporating firm's decision depends previous decisions its chains. We show NP-hard no approximation within polylogarithmic factor can be guaranteed for any polynomial-time algorithm. Nevertheless, we an algorithm identifies exact solution polynomial time under certain assumptions network structure provide evidence it tractable real-world networks. further propose random generative outputs consistent with The display, whp, structures allow us find optimal seed subexponential using our also provides approximate sets when information limited.