Anticipating Future Innovation Pathways Through Large Data Analysis
edited by Tugrul U. Daim, Denise Chiavetta, Alan L. Porter, Ozcan Saritas
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. .
