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Analysing High Technology Diffusion and Public Transference Programs: The Case of the European Game Program

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  • José Albors
  • José Hervas
  • Antonio Hidalgo

Abstract

This paper will try to contribute to the understanding of public programs supporting high technology diffusion and transference. The framework utilised will combine the theory of technology and innovation diffusion and the use of value mapping methodology. The article provides empirical evidence on the variables, which contribute to filling some research gaps on the assessment of high tech diffusion programs. For this we have utilised the evaluation of the GAME initiative, part of the European Commission IV Research Framework Programme. The objective of this program was to diffuse microelectronics technology among Spanish firms. Using one hundred set cases and employing multivariable analysis methods it was found that a model could be built with two multivariable constructs to explain and understand technology diffusion, absorption and transference flows. In addition, the model is useful for evaluating technology dissemination using the diffusion model to measure its social impact. The statistical methodology applied, as a complement to value mapping, provides a robustness in the results which is not normally furnished by classical evaluation methods. It also reinforces value mapping as an adequate tool for high tech cases with certain modifications to the original approach. The␣latter is due to the uncertainty of technology disruption curves and change, as well as to the changing conditions in the economies of scale. Copyright Springer Science+Business Media, LLC 2006

Suggested Citation

  • José Albors & José Hervas & Antonio Hidalgo, 2006. "Analysing High Technology Diffusion and Public Transference Programs: The Case of the European Game Program," The Journal of Technology Transfer, Springer, vol. 31(6), pages 647-661, November.
  • Handle: RePEc:kap:jtecht:v:31:y:2006:i:6:p:647-661
    DOI: 10.1007/s10961-006-0020-x
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    References listed on IDEAS

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    1. Susan Helper, 1995. "Supplier Relations and Adoption of New Technology: Results of Survey Research in the U.S. Auto Industry," NBER Working Papers 5278, National Bureau of Economic Research, Inc.
    2. Hall, Bronwyn H. & Khan, Beethika, 2003. "Adoption of New Technology," Department of Economics, Working Paper Series qt3wg4p528, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    3. Thomas N. Hubbard, 1998. "Why Are Process Monitoring Technologies Valuable? The Use of On-Board Information Technology in the Trucking Industry," NBER Working Papers 6482, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Bozeman, Barry & Rimes, Heather & Youtie, Jan, 2015. "The evolving state-of-the-art in technology transfer research: Revisiting the contingent effectiveness model," Research Policy, Elsevier, vol. 44(1), pages 34-49.
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    3. James A. Cunningham & Matthias Menter & Chris Young, 2017. "A review of qualitative case methods trends and themes used in technology transfer research," The Journal of Technology Transfer, Springer, vol. 42(4), pages 923-956, August.
    4. Patrick Holzmann & Erich J. Schwarz & David B. Audretsch, 2020. "Understanding the determinants of novel technology adoption among teachers: the case of 3D printing," The Journal of Technology Transfer, Springer, vol. 45(1), pages 259-275, February.

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    More about this item

    Keywords

    technology transference; technology difussion; O33;
    All these keywords.

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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