Anticipating Future Innovation Pathways Through Large Data Analysis
Editor
- Tugrul U. Daim(Portland State University)Denise Chiavetta(Search Technology, Inc)Alan L. Porter(Georgia Institute of Technology)Ozcan Saritas(National Research University)
Abstract
No abstract is available for this item.Individual chapters are listed in the "Chapters" tab
Suggested Citation
- Tugrul U. Daim & Denise Chiavetta & Alan L. Porter & Ozcan Saritas (ed.), 2016. "Anticipating Future Innovation Pathways Through Large Data Analysis," Innovation, Technology, and Knowledge Management, Springer, number 978-3-319-39056-7, December.
Handle: RePEc:spr:inntkm:978-3-319-39056-7
DOI: 10.1007/978-3-319-39056-7Download full text from publisher
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Cited by:- Pavel Bakhtin & Ozcan Saritas & Alexander Chulok & Ilya Kuzminov & Anton Timofeev, 2017. "Trend monitoring for linking science and strategy," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 2059-2075, June.
Book Chapters
The following chapters of this book are listed in IDEAS- Denis Loveridge & Cristiano Cagnin, 2016. "FTA as Due Diligence for an Era of Accelerated Interdiction by an Algorithm-Big Data Duo," Innovation, Technology, and Knowledge Management, in: Tugrul U. Daim & Denise Chiavetta & Alan L. Porter & Ozcan Saritas (ed.), Anticipating Future Innovation Pathways Through Large Data Analysis, chapter 0, pages 3-23, Springer.
- Munan Li, 2016. "A Conceptual Framework of Tech Mining Engineering to Enhance the Planning of Future Innovation Pathway (FIP)," Innovation, Technology, and Knowledge Management, in: Tugrul U. Daim & Denise Chiavetta & Alan L. Porter & Ozcan Saritas (ed.), Anticipating Future Innovation Pathways Through Large Data Analysis, chapter 0, pages 25-44, Springer.
- Per Dannemand Andersen & Lars Alkærsig, 2016. "Profile and Trends of FTA and Foresight," Innovation, Technology, and Knowledge Management, in: Tugrul U. Daim & Denise Chiavetta & Alan L. Porter & Ozcan Saritas (ed.), Anticipating Future Innovation Pathways Through Large Data Analysis, chapter 0, pages 45-58, Springer.
- Nadezhda Mikova, 2016. "Recent Trends in Technology Mining Approaches: Quantitative Analysis of GTM Conference Proceedings," Innovation, Technology, and Knowledge Management, in: Tugrul U. Daim & Denise Chiavetta & Alan L. Porter & Ozcan Saritas (ed.), Anticipating Future Innovation Pathways Through Large Data Analysis, chapter 0, pages 59-69, Springer.
- Irina V. Efimenko & Vladimir F. Khoroshevsky & Ed. C. M. Noyons, 2016. "Anticipating Future Pathways of Science, Technologies, and Innovations: (Map of Science)2 Approach," Innovation, Technology, and Knowledge Management, in: Tugrul U. Daim & Denise Chiavetta & Alan L. Porter & Ozcan Saritas (ed.), Anticipating Future Innovation Pathways Through Large Data Analysis, chapter 0, pages 71-96, Springer.
- Stephan Spiegeleire & Freija Duijne & Eline Chivot, 2016. "Towards Foresight 3.0: The HCSS Metafore Approach—A Multilingual Approach for Exploring Global Foresights," Innovation, Technology, and Knowledge Management, in: Tugrul U. Daim & Denise Chiavetta & Alan L. Porter & Ozcan Saritas (ed.), Anticipating Future Innovation Pathways Through Large Data Analysis, chapter 0, pages 99-117, Springer.
- Christopher L. Benson & Christopher L. Magee, 2016. "Using Enhanced Patent Data for Future-Oriented Technology Analysis," Innovation, Technology, and Knowledge Management, in: Tugrul U. Daim & Denise Chiavetta & Alan L. Porter & Ozcan Saritas (ed.), Anticipating Future Innovation Pathways Through Large Data Analysis, chapter 0, pages 119-131, Springer.
- Cherie Courseault Trumbach & Christopher McKesson & Parisa Ghandehari & Lawrence DeCan & Owen Eslinger, 2016. "Innovation and Design Process Ontology," Innovation, Technology, and Knowledge Management, in: Tugrul U. Daim & Denise Chiavetta & Alan L. Porter & Ozcan Saritas (ed.), Anticipating Future Innovation Pathways Through Large Data Analysis, chapter 0, pages 133-151, Springer.
- Ying Huang & Yi Zhang & Jing Ma & Alan L. Porter & Xuefeng Wang & Ying Guo, 2016. "Generating Competitive Technical Intelligence Using Topical Analysis, Patent Citation Analysis, and Term Clumping Analysis," Innovation, Technology, and Knowledge Management, in: Tugrul U. Daim & Denise Chiavetta & Alan L. Porter & Ozcan Saritas (ed.), Anticipating Future Innovation Pathways Through Large Data Analysis, chapter 0, pages 153-172, Springer.
- Lu Huang & Lining Shang & Kangrui Wang & Alan L. Porter & Yi Zhang, 2016. "Identifying Targets for Technology Mergers and Acquisitions Using Patent Information and Semantic Analysis," Innovation, Technology, and Knowledge Management, in: Tugrul U. Daim & Denise Chiavetta & Alan L. Porter & Ozcan Saritas (ed.), Anticipating Future Innovation Pathways Through Large Data Analysis, chapter 0, pages 173-186, Springer.
- Hongshu Chen & Yi Zhang & Donghua Zhu, 2016. "Identifying Technological Topic Changes in Patent Claims Using Topic Modeling," Innovation, Technology, and Knowledge Management, in: Tugrul U. Daim & Denise Chiavetta & Alan L. Porter & Ozcan Saritas (ed.), Anticipating Future Innovation Pathways Through Large Data Analysis, chapter 0, pages 187-209, Springer.
- Yi Zhang & Hongshu Chen & Donghua Zhu, 2016. "Semi-automatic Technology Roadmapping Composing Method for Multiple Science, Technology, and Innovation Data Incorporation," Innovation, Technology, and Knowledge Management, in: Tugrul U. Daim & Denise Chiavetta & Alan L. Porter & Ozcan Saritas (ed.), Anticipating Future Innovation Pathways Through Large Data Analysis, chapter 0, pages 211-227, Springer.
- Victoria Kayser & Erduana Shala, 2016. "Generating Futures from Text—Scenario Development Using Text Mining," Innovation, Technology, and Knowledge Management, in: Tugrul U. Daim & Denise Chiavetta & Alan L. Porter & Ozcan Saritas (ed.), Anticipating Future Innovation Pathways Through Large Data Analysis, chapter 0, pages 229-245, Springer.
- Marisela Rodríguez Salvador & Ana Marcela Hernández de Menéndez & David Alfredo Arcos Novillo, 2016. "Additive Manufacturing: Importance and Challenges for Latin America," Innovation, Technology, and Knowledge Management, in: Tugrul U. Daim & Denise Chiavetta & Alan L. Porter & Ozcan Saritas (ed.), Anticipating Future Innovation Pathways Through Large Data Analysis, chapter 0, pages 249-271, Springer.
- Tugrul U. Daim & Monticha Khammuang & Edwin Garces, 2016. "The Application of Social Network Analysis: Case of Smart Roofing," Innovation, Technology, and Knowledge Management, in: Tugrul U. Daim & Denise Chiavetta & Alan L. Porter & Ozcan Saritas (ed.), Anticipating Future Innovation Pathways Through Large Data Analysis, chapter 0, pages 273-302, Springer.
- Cristina d’Urso Souza Mendes & Adelaide Maria Souza Antunes, 2016. "Building a View of the Future of Antibiotics Through the Analysis of Primary Patents," Innovation, Technology, and Knowledge Management, in: Tugrul U. Daim & Denise Chiavetta & Alan L. Porter & Ozcan Saritas (ed.), Anticipating Future Innovation Pathways Through Large Data Analysis, chapter 0, pages 303-320, Springer.
- X. Liu & Y. Sun & H. Xu & P. Jia & S. Wang & L. Dong & X. Chen, 2016. "Combining Scientometrics with Patent-Metrics for CTI Service in R&D Decision-Making: Practices of National Science Library of CAS," Innovation, Technology, and Knowledge Management, in: Tugrul U. Daim & Denise Chiavetta & Alan L. Porter & Ozcan Saritas (ed.), Anticipating Future Innovation Pathways Through Large Data Analysis, chapter 0, pages 321-339, Springer.
- Pavel Bakhtin & Ozcan Saritas, 2016. "Tech Mining for Emerging STI Trends Through Dynamic Term Clustering and Semantic Analysis: The Case of Photonics," Innovation, Technology, and Knowledge Management, in: Tugrul U. Daim & Denise Chiavetta & Alan L. Porter & Ozcan Saritas (ed.), Anticipating Future Innovation Pathways Through Large Data Analysis, chapter 0, pages 341-360, Springer.
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