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• W4285177978 abstract "Supply chain management is notable among management disciplines with its core focus on relationships and interactions between organizations. Yet, the unit of analysis in supply chain management research is typically a buyer–supplier dyad or a short chain of interfirm connections, neglecting the impacts of the broader network in which these connections are embedded. To address this major gap, several studies have analyzed supply chains from a network science perspective, which models a system as a set of nodes and links. It employs analytical and computational methods to examine both network structure and dynamics, highlighting the importance of the broader network structure on firms' capabilities and performance. In this chapter, we provide a concise review of the theory, methods, and empirical results from this growing stream of literature. We discuss the interpretations of different network concepts and measures in a supply chain management context. We present key results from computational modeling and empirical studies on the structure and dynamics of supply networks and their effects on operational and financial performance, innovation, network stability and resilience. In doing so, we provide mathematical definitions of key network concepts, methods, and measures for supply chain practitioners and researchers new to this area of research." @default.
• W4285177978 created "2022-07-14" @default.
• W4285177978 creator A5066517252 @default.
• W4285177978 date "2022-01-01" @default.
• W4285177978 modified "2023-09-26" @default.
• W4285177978 title "Network science for the supply chain" @default.
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• W4285177978 doi "https://doi.org/10.1016/b978-0-323-91614-1.00020-4" @default.
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