Anticipating future innovation pathways through large data analysis. (2016)

• Record Type: Book
• Further Information: Note: Tugrul U. Daim, Denise Chiavetta, Alan L. Porter, Ozcan Saritas, editors.
• Editors: Daim, Tugrul Unsal, 1967-; Chiavetta, Denise; Porter, Alan L; Saritas, Ozcan
• Contents: 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.
• Publisher Details: Switzerland : Springer
• Publication Date: 2016
• Extent: 1 online resource (xviii, 360 pages), illustrations (some color)
• Subjects: 006.3/12; Business; Data mining; Technological innovations -- Forecasting; COMPUTERS -- General; Data mining; Technological innovations -- Forecasting; Business & Economics -- Industries -- Computer Industry; Science -- General; Business & Economics -- Industrial Management; Business mathematics & systems; Research & development management; Economics of industrial organisation; Management science; Management; Big data; Economic policy; Industrial organization; Business & Economics -- Production & Operations Management; Electronic books
• Languages: English
• ISBNs: 9783319390567; 3319390562; 3319390546; 9783319390543
• Related ISBNs: 9783319390543
• Notes: Note: Online resource; title from PDF title page (SpringerLink, viewed August 5, 2016).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.