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Fostering university-industry interactions under a triple helix model: the case of Nuevo Leon, Mexico

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  • Marcia Villasana

Abstract

This paper presents an empirical investigation into how academic researchers develop interactions with industry. Interviews with researchers in biotechnology in the two largest private and public universities in the state of Nuevo Leon, Mexico, were analyzed by applying a grounded theory approach. Findings show that researchers at both universities are motivated by the social impact that their research may have. However, biotech researchers at the public university appear to be more economically driven. In both cases, the participation of the technology transfer office is perceived to be weak. An implication for technology policy is that academic researchers' motivational patterns are important for the better design of policies seeking to promote university-industry interactions at a regional level. Copyright , Beech Tree Publishing.

Suggested Citation

  • Marcia Villasana, 2011. "Fostering university-industry interactions under a triple helix model: the case of Nuevo Leon, Mexico," Science and Public Policy, Oxford University Press, vol. 38(1), pages 43-53, February.
  • Handle: RePEc:oup:scippl:v:38:y:2011:i:1:p:43-53
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    File URL: http://hdl.handle.net/10.3152/030234211X12924093659996
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    Cited by:

    1. Arkadiusz Œwiadek & Piotr Dzikowski & Jadwiga Gor¹czkowska & Marek Tomaszewski, 2022. "The National Innovation System in a catching-up country: empirical evidence based on micro data of a triple helix in Poland," Oeconomia Copernicana, Institute of Economic Research, vol. 13(2), pages 511-540, June.
    2. Vega-Gonz¨¢lez & Lu¨ªs Roberto, 2015. "Public R&D Centers, Social Agents of the Socio Economic Innovation System of Mexico," Business and Economic Research, Macrothink Institute, vol. 5(1), pages 61-78, June.
    3. Yuandi Wang & Die Hu & Weiping Li & Yiwei Li & Qiang Li, 2015. "Collaboration strategies and effects on university research: evidence from Chinese universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 725-749, May.

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