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Measuring Technology Maturity

Operationalizing Information from Patents, Scientific Publications, and the Web

  • Book
  • © 2016

Overview

Authors:
  1. Till Albert

    1. Bremen, Germany

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  • Publication in the field of economic sciences
  • Includes supplementary material: sn.pub/extras

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

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Table of contents (5 chapters)

  1. Front Matter

    Pages I-XXIX
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  2. Introduction

    • Till Albert
    Pages 1-8

  3. Measuring Technology Maturity: Theoretical Aspects

    • Till Albert
    Pages 9-113

  4. Designing an Empirical Analysis

    • Till Albert
    Pages 115-119

  5. Execution and Results of the Empirical Analysis

    • Till Albert
    Pages 121-242

  6. Measuring Technology Maturity: Conclusions

    • Till Albert
    Pages 243-250

  7. Back Matter

    Pages 251-311
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Keywords

About this book

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.

Authors and Affiliations

  • Bremen, Germany

    Till Albert

About 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.

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