Technology forecasting with science indicators: The case of laptop battery futures

Portland International Conference on Management of Engineering and Technology

Volumn , Issue , 2007, Pages 1643-1650

  Jordan, Stephen W ^a  

^a Portland State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTERS; ELECTRIC LOAD FORECASTING; FORECASTING; FUEL CELLS; LITHIUM; LITHIUM BATTERIES; TECHNOLOGICAL FORECASTING; TECHNOLOGY;

CHARGE POTENTIALS; CONVERGING TECHNOLOGIES; ENERGY DENSITIES; FUEL CELL; INTERNATIONAL (CO); LENGTH OF TIME; LI- ION BATTERIES; MOBILE COMPUTERS; PORTLAND; POWER DEMANDS; SCIENCE INDICATORS; TECHNICAL PERFORMANCE; TECHNOLOGICAL CHANGES; TECHNOLOGY FORECASTING;

LAPTOP COMPUTERS;

EID: 47849098012     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PICMET.2007.4349489     Document Type: Conference Paper

References (20)

1. T Anderson R. Fare, S. Giosskopf, L. Inman, X. Song, "Further Examination of Moore's Law with Data Envelope Analysis", Technological Forecasting & Social Change 69 (2002) 465-477.
2. H. Linestone Decision Making for Technology Executives: Using Multiple Perspectives to Improve Performance", Artech House, 1999.
3. T. Daim G. Rueda, H. Martin, P. Gerdsri, "Foiecasting Emerging Technologies: Use of Bibliometrics and patent Analysis", Technology Forecasting and Social Change, 71: p 5-26, 2004
4. Journal of Power Sources, Elsevier, Science Direct. http://www. sciencedirect.com/science/journal/03787753
5. Battery Conference on Applications and Advances, http://ieeexplore.ieee. org/servlet/opac?punumber=7743
6. Sandia National laboratory Technical Library, http://infoserve.sandia. gov/
7. US Patent Office, http://www.uspto.gov/
8. A. Kayal "Measunng the Pace of Technilogical Progress: Implications for Technological forecasting", Technological Forecasting and Social Change 60, 237-245 (1999)
9. O. Inman, T. Anderson, R. Harmon, "Predicting US Jet Fighter Aircraft Introductions from 1944 to 1982: A Dogfight Between Regression and TFDEA", Technilogical Forecasting and Social Change, In Press, Corrected Proof, 2006.
10. M. Bengisu, R. Nekhili, "Forecasting Emerging Technologies With the aid of Science and Technology Databases", Technological Forecasting & Social Change, 73 (2006) 835-844.
11. R. Watts, A. Porter, "Innovation Forecasting", Technology Forecasting and Social Change, Elsevier Science Inc. 1997.
12. M. Span, M. Adams, W. Souder, "Measures of Technology Transfer Effectiveness: Key Dimensions and Differences in Their Use by Sponsors, Developers, and Adopters", IEEE transactions on Engineering Management, Vol. 42, No. 1, February 1995.
13. G. Collantes, "Incorporating Stakeholders Perspectives into Models of New Technology Diffusion: The Case of Fuel-cell Vehicles", Technological Forecasting & Social Change, 74 (2007) 267-280
14. C. Haynes, "Clarifying Reversible Efficiency Misconceptions of High Temperature Fuel Cells in Relation to Reversible Heat Engines", Elsevier, Journal of Power Sources 92 (2001) 199-203
15. J. Irvine, "The Bourner Lecture Power sources and the Energy Economy', Journal of Power Sources, 136 (2004) 203-207
16. U. Bessel, B. Eliason, "Energy and the Hydrogen Economy", Oberrohrdorf and Baden-Datwell Switzerland, 2003.
17. K. Shah, R. Besser, "key Issues in the Microchemical Systems Based methanol Fuel Processor: Energy Density, Thermal Integration, and heat Loss Mechanisms", Science Direct, Elsevier doi:10.1016/j.jpowsour.2007.01.009
18. W. yang, S. Chou, C. Shu, "Effect of Current-collector Structure on Performance of Passive Micro Direct Methanol Fuel Cell", Science Direct, Elsevier doi:10.1016/j.jpowsour.2006.11.014
19. S. Jordan, "Engineering and Technology Management and the Development of the Hydrogen Fuel Cell", http://projects.etm.pdx.edu/ stdproject/2004/2004-F-520-13-1.pdf
20. F. Bass, "Diffusion Theory in Marketing: A Historical Perspective", University of Texas at Dallas, 1999