Supply Chain Management How Analytics Discussion Chapter

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This dynamic is more than an experience effect or network effect, as it is multiplicative across the many members of the supplier network, in effect creating an entirely new platform for sharing knowledge and information. The reliance on analytics for creating the necessary integration links and platforms for decision making also dominate this phase of maturity in any supply chain network (Wang, Huang, Dismukes, 2004).

With the findings that what gets measured dictates the culture of an organization as much as how information is shared across the network, the development of an effective DDSN framework can begin. The initial steps of creating a common set of key performance indicators (KPIs) and metrics first needs to be completed, and the integration points across each area also defined.

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Third, there is the need for defining the idealized state of metrics performance followed by a best practices benchmark for comparable supply chain networks. With all of these factors in place, a supply chain can be effectively measured and compared relative to peers, so that a relative level of performance maturity can be assessed (Schlegel, Murray, 2010). With these factors in place a DDSN will over time transform itself into a knowledge sharing network provided that the key goals and objectives of the supplier chain itself continue to be accomplished (Dyer, Nobeoka, 2000). The ability to generate knowledge over time based on supply chain performance can then be achieved......

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"Supply Chain Management How Analytics", 06 August 2011, Accessed.28 April. 2024,
https://www.aceyourpaper.com/essays/supply-chain-management-analytics-43800