Measuring Technology Maturity: Operationalizing Information from Patents, Scientific Publications, and the Web
Springer Gabler | Management | February 23, 2016 | ISBN-10: 3658121319 | 311 pages | pdf | 6.23 mb
Springer Gabler | Management | February 23, 2016 | ISBN-10: 3658121319 | 311 pages | pdf | 6.23 mb
Authors: Albert, Till
Publication in the field of economic sciences
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.
Number of Illustrations and Tables
86 illus.
Topics
Innovation/Technology Management
Operation Research/Decision Theory
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