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Measuring Technology Maturity

Operationalizing Information from Patents, Scientific Publications, and the Web

  • TillĀ Albert

Part of the Forschungs-/Entwicklungs-/Innovations-Management book series (FEIM)

Table of contents

  1. Front Matter
    Pages I-XXIX
  2. Till Albert
    Pages 1-8
  3. Till Albert
    Pages 115-119
  4. Till Albert
    Pages 243-250
  5. Back Matter
    Pages 251-311

About this book

Introduction

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.

 

Contents

  • Information Scattering in Different Text Media
  • Identifying Text Media Suitable for Informetric Analyses and Deriving Relevant Indicator Values
  • Using Machine Learning to Gauge the Maturity Classification Performance of a Set of Indicators
  • Representation, Interpretation, and Utilization of Maturity Analysis Results

 

Target Groups

  • Researcher and students of Business Engineering, Informatics, and Mathematics
  • Innovation Managers, Technology Managers, Business Intelligence 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 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.

 

Keywords

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

Authors and affiliations

  • TillĀ Albert
    • 1
  1. 1.BremenGermany

Bibliographic information