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The Technology Forecasting Of New Materials: The Example Of Nanosized Ceramic Powders


  • Cheng, An-Chin


  • Chen, Chia-Yon



New materials have been recognized as significant drivers for corporate growth and profitability in today’s fast changing environments. The nanosized ceramic powders played important parts in new materials field nowadays. However, little has been done in discussing the technology forecasting for the new materials development. Accordingly, this study applied the growth curve method to investigate the technology performances of nanosized ceramic powders. We adopted the bibliometric analysis through EI database and trademark office (USPTO) database to gain the useful data for this work. The effort resulted in nanosized ceramic powders were all in the initial growth periods of technological life cycles. The technology performances of nanosized ceramic powders through the EI and USPTO databases were similar and verified by each other. And there were parts of substitutions between traditional and nanosized ceramic powders. The bibliometric analysis was proposed as the simple and efficient tools to link the science and technology activities, and to obtain quantitative and historical data for helping researchers in technology forecasting, especially in rare historical data available fields, such as the new materials fields.

Suggested Citation

  • Cheng, An-Chin & Chen, Chia-Yon, 2008. "The Technology Forecasting Of New Materials: The Example Of Nanosized Ceramic Powders," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 5(4), pages 88-110, December.
  • Handle: RePEc:rjr:romjef:v:5:y:2008:i:4:p:88-110

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    References listed on IDEAS

    1. Emilian Dobrescu, "undated". "Integration of Macroeconomic Behavioural Relationships and the Input-output Block (Romanian Modelling Experience)," EcoMod2006 272100018, EcoMod.
    2. Dobrescu, Emilian, 2006. "Macromodel of the Romanian market economy (version 2005)," MPRA Paper 35749, University Library of Munich, Germany.
    3. Dobrescu, Emilian, 2007. "Modelling The Romanian Economy: Some Data Problems," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 4(1), pages 7-25, March.
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    Cited by:

    1. repec:spr:scient:v:101:y:2014:i:3:d:10.1007_s11192-014-1364-x is not listed on IDEAS
    2. Kim, Gabjo & Bae, Jinwoo, 2017. "A novel approach to forecast promising technology through patent analysis," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 228-237.
    3. repec:spr:scient:v:101:y:2014:i:2:d:10.1007_s11192-014-1244-4 is not listed on IDEAS

    More about this item


    new materials; bibliometric analysis; technology forecasting.;

    JEL classification:

    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
    • E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production


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