Measuring Technology Maturity: Operationalizing Information from Patents, Scientific Publications, and the Web: Forschungs-/Entwicklungs-/Innovations-Management
Autor Till Alberten Limba Engleză Paperback – 29 ian 2016
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Specificații
ISBN-13: 9783658121310
ISBN-10: 3658121319
Pagini: 311
Ilustrații: XXIX, 311 p. 86 illus.
Dimensiuni: 148 x 210 x 22 mm
Greutate: 0.45 kg
Ediția:1st ed. 2016
Editura: Springer Fachmedien Wiesbaden
Colecția Springer Gabler
Seria Forschungs-/Entwicklungs-/Innovations-Management
Locul publicării:Wiesbaden, Germany
ISBN-10: 3658121319
Pagini: 311
Ilustrații: XXIX, 311 p. 86 illus.
Dimensiuni: 148 x 210 x 22 mm
Greutate: 0.45 kg
Ediția:1st ed. 2016
Editura: Springer Fachmedien Wiesbaden
Colecția Springer Gabler
Seria Forschungs-/Entwicklungs-/Innovations-Management
Locul publicării:Wiesbaden, Germany
Public țintă
ResearchCuprins
Information Scattering in Different Text Media.- Identifying Text MediaSuitable for Informetric Analyses and Deriving Relevant Indicator Values.- Using Machine Learningto Gauge the Maturity Classification Performance of a Set of Indicators.- Representation,Interpretation, and Utilization of Maturity Analysis Results.
Notă biografică
Till Albert wrote thisdissertation with Professor Martin G. Moehrle at the Institute of ProjectManagement and Innovation (IPMI) of the University of Bremen. He now works inthe area of data driven approaches to support innovation and technologymanagement, such as patent analysis, scientometrics, webometrics, socialnetwork analysis, and combinations thereof.
Textul de pe ultima copertă
Till Albert presents a machine learning based approach toharnessing information contained in big data from different media sources suchas patents, scientific publications, or the internet. He shows how this informationcan be used for automated maturity evaluation of yet unknown technologies. Elaboratepatent based indicators contain very useful information on technologicalaspects of maturity but lack for others such as social, economic, ecological,or political factors. The approach presented in this book is able toincorporate these other factors and provide a firm basis for robust technologymaturity and speed of maturity evaluation.
Contents
Target Groups
The Author Till Albert wrote this dissertation with Professor Martin G.Moehrle at the Institute of Project Management and Innovation (IPMI) of theUniversity of Bremen. He now works in the area of data driven approaches tosupport innovation and technology management, such as patent analysis,scientometrics, webometrics, social network analysis, and combinations thereof.
Contents
- Information Scattering in Different Text Media
- Identifying Text Media Suitable for Informetric Analyses andDeriving Relevant Indicator Values
- Using Machine Learning to Gauge the Maturity ClassificationPerformance of a Set of Indicators
- Representation, Interpretation, and Utilization of MaturityAnalysis Results
Target Groups
- Researcher and students of Business Engineering, Informatics,and Mathematics
- Innovation Managers, Technology Managers, BusinessIntelligence Professionals, Future Researchers
The Author Till Albert wrote this dissertation with Professor Martin G.Moehrle at the Institute of Project Management and Innovation (IPMI) of theUniversity of Bremen. He now works in the area of data driven approaches tosupport innovation and technology management, such as patent analysis,scientometrics, webometrics, social network analysis, and combinations thereof.
Caracteristici
Publication in the field of economic sciences Includes supplementary material: sn.pub/extras