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• W4285147551 abstract "Measuring and managing performance to ensure the efficiency and effectiveness of business processes is a fundamental business activity. Supply chains are no exception. Various supply chain performance management frameworks and metrics have been developed by academics and practitioners and the topic is discussed widely in the research literature. However, many of the established frameworks do not appreciate the changing nature of performance measurement in a digital supply chain. In this chapter, we examine the relationships between supply chain performance metric categories and we present a data-driven framework for measuring and managing performance in a digital supply chain. The framework uses an Information Processing perspective to allow managers to visualize the flow of information and to organize the different metrics required for effective performance management of their supply chains. We use the framework to analyze three reported cases that illustrate a diversity of approaches to performance management in the digital age. We also take a step into the future and consider the impact of various emerging technologies, including supply chain performance dashboards, in the context of the framework. This chapter is aimed at managers and academic researchers interested in understanding how digital supply chains can benefit from a data-driven approach to performance management." @default.
• W4285147551 created "2022-07-14" @default.
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• W4285147551 date "2022-01-01" @default.
• W4285147551 modified "2023-09-29" @default.
• W4285147551 title "Measuring and managing digital supply chain performance" @default.
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• W4285147551 doi "https://doi.org/10.1016/b978-0-323-91614-1.00012-5" @default.
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