Tech mining: exploiting new technologies for competitive advantage
Auteurs : PORTER Alan L., CUNNINGHAM Scott W.
A business's competitiveness depends on the effective use of the vast amounts of information available. Tech Mining: Exploiting New Technologies for Competitive Advantage shows technology managers and other professionals not only how to sift through the chaff and get to the key kernels that lead to innovation*in short, information management*but how to make better use of information leads in order to make better decisions.
Tech Mining explains how to use the available software tools, including generic search engines and standard MS Office capabilities, in conjunction with text mining software such as VantagePoint®, in order to quickly access the technological information needed to gain critical competitive advantage. With screen shots and charts throughout, the book shows the reader how to:
- Select and access the most valuable technology information resources
- Search, retrieve, and clean information on topics of interest
- Analyze huge quantities of information on emerging technologies to locate nuggets of value and to see the overall development profile
- Identify technological trends and forecast likely future developments
- Gauge prospects for successful technological innovation using tailored
- innovation indicators
- Integrate empirical findings with expert opinion to provide compelling answers to managerial questions
With Web based practice datasets and the VantagePoint reader software, Tech Mining will take managers and their enterprises beyond common information management to become wiser consumers*and exploiters*of today's science and technology.
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 Minings 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...
Date de parution : 01-2005
Ouvrage de 384 p.
