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A novel network-based analysis to measure efficiency in science and technology parks: the ISA framework approach

Author

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  • M. Pilar Latorre

    (University of Zaragoza)

  • Ramón Hermoso

    (University of Zaragoza)

  • María A. Rubio

    (University of Zaragoza)

Abstract

In the last years, Science and Technology Parks (STPs) have been considered facilitators of inter-organizational relationships, as well as instruments of public policy, by creating networks and allowing access for the learning of local innovation. In this study, we propose a quantitative tool as support for measuring the efficiency of STPs through the analysis of the complex networks they form. We present a generic framework called the Inter-Relationship Science-Park Analysis (ISA) framework to study STPs at three different levels of management: (1) individual entities (research centres, universities, innovation companies, etc.); (2) STP global management; and (3) productive sector development. Moreover, we have applied the ISA framework to a real-world case study: the Walqa Science and Technology Park. Through it we have been able to know what relationships are established within this Science and Technology Park and which are the most important nodes in this network of interactions.

Suggested Citation

  • M. Pilar Latorre & Ramón Hermoso & María A. Rubio, 2017. "A novel network-based analysis to measure efficiency in science and technology parks: the ISA framework approach," The Journal of Technology Transfer, Springer, vol. 42(6), pages 1255-1275, December.
  • Handle: RePEc:kap:jtecht:v:42:y:2017:i:6:d:10.1007_s10961-017-9585-9
    DOI: 10.1007/s10961-017-9585-9
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    Cited by:

    1. Alberto Albahari & Andrés Barge-Gil & Salvador Pérez-Canto & Paolo Landoni, 2023. "The effect of science and technology parks on tenant firms: a literature review," The Journal of Technology Transfer, Springer, vol. 48(4), pages 1489-1531, August.
    2. Laura Lecluyse & Mirjam Knockaert & André Spithoven, 2019. "The contribution of science parks: a literature review and future research agenda," The Journal of Technology Transfer, Springer, vol. 44(2), pages 559-595, April.
    3. Marta Ferrer-Serrano & M. Pilar Latorre-Martínez & Lucio Fuentelsaz, 2021. "The European research landscape under the Horizon 2020 Lenses: the interaction between science centers, public institutions, and industry," The Journal of Technology Transfer, Springer, vol. 46(3), pages 828-853, June.
    4. Good, Matthew & Knockaert, Mirjam & Soppe, Birthe & Wright, Mike, 2019. "The technology transfer ecosystem in academia. An organizational design perspective," Technovation, Elsevier, vol. 82, pages 35-50.
    5. T. Theeranattapong & D. Pickernell & C. Simms, 2021. "Systematic literature review paper: the regional innovation system-university-science park nexus," The Journal of Technology Transfer, Springer, vol. 46(6), pages 2017-2050, December.
    6. Robert Huggins & Daniel Prokop & Piers Thompson, 2020. "Universities and open innovation: the determinants of network centrality," The Journal of Technology Transfer, Springer, vol. 45(3), pages 718-757, June.
    7. Klofsten, Magnus & Lundmark, Erik & Wennberg, Karl & Bank, Megan, 2019. "Incubator specialization and size: divergent paths towards operational scale," Ratio Working Papers 326, The Ratio Institute.

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    More about this item

    Keywords

    Science and technology parks; Innovation; Complex networks; Inter-organizational networks;
    All these keywords.

    JEL classification:

    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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