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Evaluating Nanotechnologies For The Development Of National Agriculture Industry

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  • PISEK GERDSRI

    (Department of Engineering and Technology Management, Portland State University, Oregon 97201, Portland, USA)

  • DUNDAR F. KOCAOGLU

    (Department of Engineering and Technology Management, Portland State University, Oregon 97201, Portland, USA)

Abstract

This research demonstrates a systematic approach to evaluate nanotechnologies. A case study of applying nanotechnologies to the development of Thailand's agriculture industry is given as an example. A hierarchical decision model is built and qualified expert opinions are used as measurements. There are four levels in the hierarchy: mission, objectives, technological goals and research strategies. Three panels are formed based on their background and expertise in order to minimize and balance any possible biases among the members. The research results provide decision makers with a ranking of technological goals and research strategies in terms of their support for specific goals. The outcome of this research should help technology policy makers to evaluate technologies and research strategies on the basis of their contributions to the national mission.

Suggested Citation

  • Pisek Gerdsri & Dundar F. Kocaoglu, 2013. "Evaluating Nanotechnologies For The Development Of National Agriculture Industry," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 10(02), pages 1-21.
    • Handle: RePEc:wsi:ijitmx:v:10:y:2013:i:02:n:s021987701340004x
    DOI: 10.1142/S021987701340004X
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    References listed on IDEAS

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    1. Osborne, Stefan & Trueblood, Michael A., 2002. "Agricultural Productivity And Efficiency In Russia And Ukraine: Building On A Decade Of Reform," Agricultural Economic Reports 33937, United States Department of Agriculture, Economic Research Service.
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    Cited by:

    1. Zhang, Hao & Daim, Tugrul & Zhang, Yunqiu (Peggy), 2021. "Integrating patent analysis into technology roadmapping: A latent dirichlet allocation based technology assessment and roadmapping in the field of Blockchain," Technological Forecasting and Social Change, Elsevier, vol. 167(C).

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