Measuring Technology Maturity
ISBN:
978-3-658-12131-0
Auflage:
1st ed. 2016
Verlag:
Springer Fachmedien Wiesbaden GmbH
Land des Verlags:
Deutschland
Erscheinungsdatum:
29.01.2016
Reihe:
Forschungs-/Entwicklungs-/Innovations-Management
Format:
Softcover
Seitenanzahl:
311
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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.
Schlagwörter
Biografische Anmerkung
Till Albert wrote this
dissertation with Professor Martin G. Moehrle at the Institute of Project
Management and Innovation (IPMI) of the University of Bremen. He now works in
the area of data driven approaches to support innovation and technology
management, such as patent analysis, scientometrics, webometrics, social
network analysis, and combinations thereof.
Organisationale Spannungen und Paradoxien in radikal selbst organisierten Unternehmen
Erscheinungsjahr:
2023
