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A methodology (based on multi‐dimensional scaling and mathematical statistics) is introduced that reduces the high dimensionality of “IC‐differencing components” into a 3‐D dimensional representation – the digital IC‐landscape. Building and maintaining a digital IC‐landscape supports systematically: pedagogical display of IC complexity, migration of IC‐affecting knowledge, exploratory retrieval of high IC‐efficiency, investment planning and forecasting. In this project, 11 companies – with a total of 20‐64 “essential variables” and “free parameters” – have been analyzed and results of the study reported.

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