LEADER 05814nam 22007934a 450 001 9910811830203321 005 20200520144314.0 010 $a9786610265480 010 $a9781280265488 010 $a1280265485 010 $a9780470357880 010 $a0470357886 010 $a9780471698456 010 $a0471698458 010 $a9780471698463 010 $a0471698466 035 $a(CKB)1000000000019095 035 $a(EBL)221253 035 $a(OCoLC)559958874 035 $a(SSID)ssj0000256339 035 $a(PQKBManifestationID)11215498 035 $a(PQKBTitleCode)TC0000256339 035 $a(PQKBWorkID)10224407 035 $a(PQKB)11220813 035 $a(MiAaPQ)EBC221253 035 $a(Au-PeEL)EBL221253 035 $a(CaPaEBR)ebr10114067 035 $a(CaONFJC)MIL26548 035 $a(Perlego)2777409 035 $a(EXLCZ)991000000000019095 100 $a20040503d2005 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aTech mining $eexploiting new technologies for competitive advantage /$fAlan L. Porter, Scott W. Cunningham 205 $a1st ed. 210 $aHoboken, N.J. $cWiley$dc2005 215 $a1 online resource (404 p.) 225 1 $aWiley series in systems engineering and management 300 $aDescription based upon print version of record. 311 08$a9780471475675 311 08$a047147567X 320 $aIncludes bibliographical references (p. 369-376) and index. 327 $aTECH MINING; Table of Contents; List of Figures; Preface; Acknowledgments; Acronyms & Shorthands-Glossary; Part I. Understanding Tech Mining; 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; 2. How Tech Mining Works; 2.1. What Is Tech Mining?; 2.2. Why Do Tech Mining? 327 $a2.3. 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; 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; 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 327 $a4.5. Tech Mining Information Products Chapter 4 Take-Home Messages; Chapter 4 Resources; 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 5 Resources; Part II. Doing Tech Mining; 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 327 $aChapter 6 Resources 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; 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; 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 327 $aChapter 9 Take-Home Messages 10. Advanced Analyses; 10.1. Why Perform Advanced Analyses?; 10.2. Data Representation; 10.3. Analytical Families; 10.4 Debrand Trust Advanced Analysis Example; Chapter 10 Take-Home Messages; Chapter 10 Resources; 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 11 Resources; 12. Patent Analyses; 12.1. Basics; 12.2. Why Patent Analyses?; 12.3. Getting Started; 12.4. The "What" and "Why" of Patent Analysis 327 $a12.5. Tech Mining Patent Analysis Case Illustration: Fuel Cells 330 $aTech Mining makes exploitation of text databases meaningful to those who can gain from derived knowledge about emerging technologies. It begins with the premise that we have the information, the tools to exploit it, and the need for the resulting knowledge.The information provided puts new capabilities at the hands of technology managers. Using the material present, these managers can identify and access the most valuable technology information resources (publications, patents, etc.); search, retrieve, and clean the information on topics of interest; and lower the costs and enhance the ben 410 0$aWiley series in systems engineering and management. 606 $aData mining 606 $aTechnological innovations$xEconomic aspects 606 $aResearch, Industrial 615 0$aData mining. 615 0$aTechnological innovations$xEconomic aspects. 615 0$aResearch, Industrial. 676 $a005.74 700 $aPorter$b Alan L$01703391 701 $aCunningham$b Scott W$01703392 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910811830203321 996 $aTech mining$94088541 997 $aUNINA