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Measuring Technology Maturity: Operationalizing Information from Patents, Scientific Publications, and the Web: Forschungs-/Entwicklungs-/Innovations-Management

Autor Till Albert
en Limba Engleză Paperback – 29 ian 2016
Till Albert presents amachine learning based approach to harnessing information contained in big datafrom different media sources such as patents, scientific publications, or theinternet. He shows how this information can be used for automated maturityevaluation of yet unknown technologies. Elaborate patent based indicators containvery useful information on technological aspects of maturity but lack forothers such as social, economic, ecological, or political factors. The approachpresented in this book is able to incorporate these other factors and provide afirm basis for robust technology maturity and speed of maturity evaluation.
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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

Public țintă

Research

Cuprins

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
  • 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