Tech Mining: Exploiting New Technologies for Competitive Advantage

List of Figures. Preface. Acknowledgments. Acronyms & Shorthands-Glossary. PART I. UNDERSTAND TECH MINING. Chapter 1. Technological Innovation and the Need for Tech Mining. 1.1 Why Innovation is Significant. 1.2 Innovation Processes. 1.3 Innovation Institutions and Their Interests. 1.4 Innovators and Their Interests. 1.5 Technological Innovation in an Information Age. 1.6 Information About Emerging Technologies. Chapter 1 Take-Home Messages. Chapter Resources. Chapter 2. How Tech Mining Works. 2.1 What is Tech Mining? 2.2 Why Do Tech Mining? 2.3 What Is Tech Mining's Ancestry? 2.4 How to Conduct the Tech Mining Process? 2.5 Who Does Tech Mining? 2.6 Where Is Tech Mining Most Needed? Chapter 2 Take-Home Messages. Chapter Resources. Chapter 3. What Tech Mining Can Do for You. 3.1 Tech Mining Basics. 3.2 Tech Mining Analyses. 3.3 Putting Tech Mining Information to Good Use. 3.4 Managing and Measuring Tech Mining. Chapter 3 Take-Home Messages. Chapter 4. Example Results: Fuel Cells Tech Mining. 4.1 Overview of Fuel Cells. 4.2 Tech Mining Analyses. 4.3 Tech Mining Results. 4.4 Tech Mining Information Processes. 4.5 Tech Mining Information Products. Chapter 4 Take-Home Messages. Chapter Resources. Chapter 5. What to Watch For in Tech Mining. 5.1 Better Basics. 5.2 Research Profiling and Other Perspectives on the Data. 5.3 More Informative Products. 5.4 Knowledge Discovery. 5.5 Knowledge Management. 5.6 New Tech Mining Markets. 5.7 Dangers. Chapter 5 Take-Home Messages. Chapter Resources. PART II. DOING TECH MINING. Chapter 6. Finding the Right Sources. 6.1 R&D Activity. 6.2 R&D Output Databases. 6.3 Determining the Best Sources. 6.4 Arranging Access to Databases. Chapter 6 Take-Home Messages. Chapter Resources. Chapter 7. Forming the Right Query. 7.1 An Iterative Process. 7.2 Queries Based on Substantive Terms. 7.3 Nominal Queries. 7.4 Tactics and Strategies for Query Design. 7.5 Changing the Query. Chapter 7 Take-Home Messages. Chapter 8. Getting the Data. 8.1 Accessing Databases. 8.2 Search and Retrieval from a Database. 8.3 What to Do, and Not to Do. Chapter 8 Take-Home Messages. Chapter 9. Basic Analyses. 9.1 In the Beginning. 9.2 What You Can Do with the Data. 9.3 Relations Among Documents and Terms Occurring in Their Information Fields. 9.4 Relationships. 9.5 Helpful Basic Analyses. Chapter 9 Take-Home Messages. Chapter 10. Advanced Analyses. 10.1 Why Perform Advanced Analyses? 10.2 Data Representation. 10.3 Analytical Families. Chapter 10 Take-Home Messages. Chapter Resources. Chapter 11. Trend Analyses. 11.1 Perspective. 11.2 An Example Time Series Description and Forecast. 11.3 Multiple Forecasts. 11.4 Research Fronts. 11.5 Novelty. Chapter 11 Take-Home Messages. Chapter Resources. Chapter 12. Patent Analyses. 12.1 Why patent Analyses? 12.2 Getting Started. 12.3 The 'What' and 'Why' of patent Analysis. 12.4 Tech Mining Patent Analysis Case Illustration: Fuel Cells. 12.5 Patent Citation Analysis. 12.6 For Whom? 12.7 TRIZ. 12.8 Reflections. Chapter 12 Take-Home Messages. Chapter Resources. Chapter 13. Generating and Presenting Innovation Indicators. 13.1 Expert Opinion in Tech Mining. 13.2 Innovation Indicators. 13.3 Information Representation and Packaging. 13.4 Examples of Putting Tech Mining Information Representation to Use. 13.5 Summing Up. Chapter Resources. Chapter 14. Managing the Tech Mining Process. 14.1 Tough Challenges. 14.2 Tech Mining Communities. 14.3 Process Management. 14.4 Enhancing the Prospects of Tech Mining Utilization. 14.5 Institutionalizing the Tech Mining Function. 14.6 The Learning Curve. Chapter 14 Take-Home Messages. Chapter 15. Measuring Tech Mining Results. 15.1 Why Measure? 15.2 What to Measure. 15.3 How to Measure. 15.4 Enabling Measurement. 15.5 Effective Measurement. 15.6 Using Measurements to Bolster Tech Mining. Chapter 15 Take-Home Messages. Chapter Resources. Chapter 16. Examples Process: Tech Mining on Fuel Cells. 16.1 Introduction. 16.2 First Step: Issue Identification. 16.3 Second Step: Selection of Information Sources. 16.4 Third Step: Search Refinement and Data Retrieval. 16.5 Fourth Step: Data Cleaning. 16.6 Fifth Step: Basic Analyses. 16.7 Sixth Step: Advanced Analyses. 16.8 Seventh Step: Representation. 16.9 Eight Step: Interpretation. 16.10 Ninth Step: Utilization. 16.11 What Can We Learn. Chapter 6 Take-Home Messages. Chapter Resources. Appendix A: Selected Publication and patent Databases. Appendix B: Text Mining Software. Appendix C: What You Can Do Without Tech Mining Software. Appendix D: Statistics and Distributions for Analyzing Text Entities. References. Index.

[1]  Dana W Clarke,et al.  Strategically Evolving the Future , 2000 .

[2]  Alan L. Porter,et al.  Trends in Computer Use in Industrial R&D , 1988 .

[3]  J. Hagedoorn,et al.  Learning in Dynamic Inter-Firm Networks: The Efficacy of Multiple Contacts , 2002 .

[4]  Semyon Savransky,et al.  Engineering of Creativity: Introduction to TRIZ Methodology of Inventive Problem Solving , 2000 .

[5]  Fang Xuan.  R&D Trends in the U.S.Economy: Strategies and policy lmplications , 2001 .

[6]  Wil Weston,et al.  Access to scientific literature , 2002, Nature.

[7]  D. Hecker.  High-Technology Employment: A Broader View , 1999 .

[8]  Holger Ernst,et al.  Patent information for strategic technology management , 2003 .

[9]  Edwin Mansfield,et al.  How Economists See R&D , 1982 .

[10]  Bobby Khan.  Innovation by design , 2005 .

[11]  D. Wilemon,et al.  A Survey of Major Approaches for Accelerating New Product Development , 1992 .

[12]  Morten T. Hansen,et al.  What's your strategy for managing knowledge? , 1999, Harvard business review.

[13]  Strengths and Weaknesses of Spatial Language: Mapping activities as debating instrument in a spatial planning process , 2002 .

[14]  S. Dunphy,et al.  The innovation funnel , 1996 .

[15]  T. Kappel,et al.  Roadmapping in the corporation , 2003, IEEE Engineering Management Review.

[16]  Jesper W. Schneider,et al.  Mapping scientific frontiers: The quest for knowledge visualization , 2004, J. Assoc. Inf. Sci. Technol..

[17]  M. Porter.  Competitive Advantage: Creating and Sustaining Superior Performance , 1985 .

[18]  Tessaleno C. Devezas,et al.  The biological determinants of long-wave behavior in socioeconomic growth and development , 2001 .

[19]  V.A.W.J. Marchau.  Technology assessment automated vehicle guidance , 2000 .

[20]  Wm. E. Souder,et al.  A guide to the best technology-transfer practices , 1990 .

[21]  Luis Gravano,et al.  Learning to find answers to questions on the Web , 2004, TOIT.

[22]  Harold A. Linstone,et al.  Decision making for technology executives : using multiple perspectives to improved performance , 1999 .

[23]  Pierre Baldi,et al.  Modeling the Internet and the Web: Probabilistic Method and Algorithms , 2002 .

[24]  Alan L. Porter,et al.  Innovation forecasting , 1997, Innovation in Technology Management. The Key to Global Leadership. PICMET '97.

[25]  Bronwyn H Hall,et al.  Market value and patent citations , 2005 .

[26]  O. Granstrand.  The Economics and Management of Intellectual Property , 1999 .

[27]  Anthony J. Trippe,et al.  Patinformatics: Tasks to tools , 2003 .

[28]  G. Fourez.  Technology Assessment: a Pocket Version , 1994 .

[29]  G. Gann Xu.  Information for corporate IP management , 2004 .

[30]  Thorsten Teichert,et al.  Text mining for technology monitoring , 2002, IEEE International Engineering Management Conference.

[31]  Nils C. Newman,et al.  Information professionals: Changing tools, changing roles , 2001 .

[32]  R. J. Watts.  Knowledge discovery using the Tech OASIS: meeting the information infrastructure needs , 2001, PICMET '01. Portland International Conference on Management of Engineering and Technology. Proceedings Vol.1: Book of Summaries (IEEE Cat. No.01CH37199).

[33]  Alan L. Porter,et al.  A Guidebook for Technology Assessment and Impact Analysis , 1982 .

[34]  Erwin Danneels.  The dynamics of product innovation and firm competences , 2002 .

[35]  Alan L. Porter,et al.  Iraqi engineering: Where has all the research gone? , 2003 .

[36]  Alan L. Porter,et al.  Research profiling: Improving the literature review , 2002, Scientometrics.

[37]  Kerstin Cuhls,et al.  Innovations for our Future , 2002 .

[38]  Henry Mintzberg,et al.  The Structure of "Unstructured" Decision Processes , 1976 .

[39]  Eckhard Lichtenthaler.  Third generation management of technology intelligence processes , 2003 .

[40]  Jack V. Michaels,et al.  Technical Risk Management , 1996 .

[41]  陳煥文.  世界智慧財產權組織[The World Intellectual Property Organization, WIPO] 仲裁規則評釋 , 1996 .

[42]  M. Huijbregts,et al.  Handbook on Life Cycle Assessment: Operational Guide to the ISO Standards , 2002 .

[43]  John Bessant,et al.  Managing Innovation: Integrating Technological, Market, and Organizational Change, 2nd Edition , 2001 .

[44]  Alan L. Porter,et al.  On the Future of Technological Forecasting , 2001 .

[45]  Alan L. Porter,et al.  The Education of a Technology Policy Analyst—to Process Management , 2004, Technol. Anal. Strateg. Manag..

[46]  Dimitri N. Mavris,et al.  A Process for Tracking and Assessing Emerging Technology Development Programs for Resource Allocation , 2001 .

[47]  Ronald N. Kostoff,et al.  Strategic Management and Implementation of Textual Data Mining in Government Organizations , 1999 .

[48]  Robert J. Hoeksema.  The Delta Project , 2006 .

[49]  P Hadridge,et al.  The best laid plans. , 1987, Lampada.

[50]  Neil R. Smalheiser,et al.  Artificial Intelligence An interactive system for finding complementary literatures : a stimulus to scientific discovery , 1995 .

[51]  Alan L. Porter,et al.  R&D Cluster Quality Measures and Technology Maturity , 2003 .

[52]  Zvi Griliches,et al.  Research Funding as an Investment: Can We Measure the Returns? , 1995 .

[53]  Alan L. Porter,et al.  A process for mining science & technology documents databases, illustrated for the case of "knowledge discovery and data mining" , 1999 .

[54]  George Karypis,et al.  A Comparison of Document Clustering Techniques , 2000 .

[55]  Donald Streeter,et al.  The Transfer of Technology from Research to Development , 1979 .

[56]  Alan L. Porter,et al.  Automated extraction and visualization of information for technological intelligence and forecasting , 2002 .

[57]  H. Linstone.  Corporate planning, forecasting, and the long wave , 2001, PICMET '01. Portland International Conference on Management of Engineering and Technology. Proceedings Vol.1: Book of Summaries (IEEE Cat. No.01CH37199).

[58]  George P. Huber,et al.  The Decision-Making Paradigm of Organizational Design , 1986 .

[59]  A. Porter,et al.  Environmental Methods Review: Retooling Impact Assessment for the New Century , 1998 .

[60]  Kevin W. Boyack,et al.  Mapping scientific frontiers : the quest for knowledge visualization. , 2003 .

[61]  Kimberly S. Hamilton,et al.  The increasing linkage between U.S. technology and public science , 1997 .

[62]  Don E. Kash,et al.  Patterns of innovating complex technologies: a framework for adaptive network strategies , 2000 .

[63]  Clayton G. Smith.  Understanding technological substitution: Generic types, substitution dynamics, and influence strategies , 1992 .

[64]  An indicator-based characterization of the Proceedings of the National Academy of Sciences. , 2003 .

[65]  Erik-Hans Klijn,et al.  Dealing with Wicked Problems in Networks: Analyzing an Environmental Debate from a Network Perspective , 2003 .

[66]  Frédéric Deroïan.  Formation of social networks and diffusion of innovations , 2002 .

[67]  Kimberly S. Hamilton,et al.  The changing composition of innovative activity in the US -- a portrait based on patent analysis , 2001 .

[68]  Joseph P. Martino,et al.  Technological forecasting for decision making , 1983 .

[69]  M. Tushman,et al.  Technological Discontinuities and Dominant Designs: A Cyclical Model of Technological Change , 1990 .

[70]  Jens Rasmussen,et al.  Risk management in a dynamic society: a modelling problem , 1997 .

[71]  J. Lederberg.  Infectious disease as an evolutionary paradigm. , 1997, Emerging infectious diseases.

[72]  Alan L. Porter,et al.  A COMPARATIVE STUDY OF IMPACT ASSESSMENT METHODS IN DEVELOPED AND DEVELOPING COUNTRIES , 1992 .

[73]  V. Mahajan,et al.  Timing, Diffusion, and Substitution of Successive Generations of Technological Innovations: The IBM Mainframe Case , 1996 .

[74]  A. F. J. van Raan,et al.  Handbook of quantitative studies of science and technology , 1988 .

[75]  Alexander Fink,et al.  Scenario Management: An Approach to Develop Future Potentials , 1998 .

[76]  Francis Narin,et al.  Technology indicators in strategic planning , 1992 .

[77]  R. Burt,et al.  Applied Network Analysis: A Methodological Introduction , 1983 .

[78]  李春範.  세계 안보와 Westinghouse 社 , 1989 .

[79]  R. L. Henshel,et al.  Forecasting: An Appraisal for Policy-Makers and Planners. , 1978 .

[80]  Chaomei Chen,et al.  Visualizing knowledge domains , 2005, Annu. Rev. Inf. Sci. Technol..

[81]  A. Barabasi,et al.  Evolution of the social network of scientific collaborations , 2001, cond-mat/0104162.

[82]  Alan L. Porter,et al.  Forecasting and Management of Technology , 1991 .

[83]  Theodore Modis,et al.  Technological Substitutions in the Computer Industry , 1993 .

[84]  Israel Dror,et al.  Technology Innovation Indicators , 1989 .

[85]  Daniel J. Power,et al.  Decision Support Systems: Concepts and Resources for Managers , 2002 .

[86]  Toby E. Stuart,et al.  The geography of opportunity: spatial heterogeneity in founding rates and the performance of biotechnology firms , 2003 .

[87]  B Fischhoff,et al.  Risk perception and communication unplugged: twenty years of process. , 1995, Risk analysis : an official publication of the Society for Risk Analysis.

[88]  David M. Pennock,et al.  Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments , 2001, UAI.

[89]  L. Delbeke.  Quasi-experimentation - design and analysis issues for field settings - cook,td, campbell,dt , 1980 .