Anticipating Future Innovation Pathways Through Large Data Analysis

This book aims to identify promising future developmental opportunities and applications for Tech Mining. Specifically, the enclosed contributions will pursue three converging themes: The increasing availability of electronic text data resources relating to Science, Technology & Innovation (ST&a...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Daim, Tugrul U. (Editor ), Chiavetta, Denise (Editor ), Porter, Alan L. (Editor ), Saritas, Ozcan (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:Innovation, Technology, and Knowledge Management,
Temas:
Technological innovations.
Quantitative research.
Economic development.
Industrial organization.
Innovation and Technology Management.
Data Analysis and Big Data.
Economic Development, Innovation and Growth.
Industrial Organization.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Preface
  • Part I: Data Science/Technology Review
  • Chapter 1: FTA as Due Diligence for an Era of Accelerated Interdiction by an Algorithm-Big Data Duo
  • Chapter 2: A Conceptual Framework of Tech Mining Engineering to Enhance the Planning of Future Innovation Pathways
  • Chapter 3: Profile and Trends of FTA and Foresight
  • Chapter 4: Recent Trends in Technology Mining Approaches
  • Chapter 5: Anticipating Future Pathways of Science, Technology, and Innovations
  • Part II: Text Analytic Methods
  • Chapter 6: Towards Foresight 3.0--The HCSS Metafore Approach
  • Chapter 7: Using Enhanced Patent Data for Future-Oriented Technology Analysis
  • Chapter 8: Innovation and Design Process Ontology
  • Chapter 9: Generating Competitive Technical Intelligence Using Topical Analysis, Patent Citation Analysis and Term Clumping Analysis
  • Chapter 10: Identifying Targets for Technology Mergers and Acquisitions Using Patent Information and Semantic Analysis
  • Chapter 11: Identifying Technological Topic Changes in Patent Claims Using Topic Modeling
  • Chapter 12: Semi-Automatic Technology Roadmapping Composing Method for Multiple Science, Technology, and Innovation Data Incorporation
  • Chapter 13: Generating Futures from Text
  • Part III: Anticipating the Future--Cases and Frameworks
  • Chapter 14: Additive Manufacturing
  • Chapter 15: The Application of Social Network Analysis
  • Chapter 16: Building a View of the Future of Antibiotics Through the Analysis of Primary Patents
  • Chapter 17: Combining Scientometics with Patent-Metrics for CTI Service in R&D Decision Making
  • Chapter 18: Tech Mining for Emerging STI Trends through Dynamic Term Clustering and Semantic Analysis: The Case of Photonics. .

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