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Measuring Technology Maturity

Operationalizing Information from Patents, Scientific Publications, and the Web

Till Albert

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Springer Fachmedien Wiesbaden GmbH img Link Publisher

Sozialwissenschaften, Recht, Wirtschaft / Management

Beschreibung

Till Albert presents a machine learning based approach to harnessing information contained in big data from different media sources such as patents, scientific publications, or the internet. He shows how this information can be used for automated maturity evaluation of yet unknown technologies. Elaborate patent based indicators contain very useful information on technological aspects of maturity but lack for others such as social, economic, ecological, or political factors. The approach presented in this book is able to incorporate these other factors and provide a firm basis for robust technology maturity and speed of maturity evaluation.

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Schlagwörter

Linear Discriminant Analysis, Machine Learning, Information Diffusion, Innovation and Technology Management, Dynamic Capabilities