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Developing Young Science and Technology Parks: Recent Findings from Industrial Nations Using the Data-Driven Approach

Author

Listed:
  • Charles Mondal

    (Computing & Maths, Kingston University, London KT1 2EE, UK)

  • Mousa Al-Kfairy

    (College of Technological Innovation, Zayed University, Abu Dhabi 144534, United Arab Emirates)

  • Robert B. Mellor

    (Computing & Maths, Kingston University, London KT1 2EE, UK)

Abstract

Science and technology parks (STPs) are curated locations where new technology-based firms (NTBFs) and other SMEs and firms can conglomerate and promote a culture of innovation. Overall, the aim is to construct a sustainable high-value tech entrepreneurship ecosystem, and to this end we present here some recent and novel concepts derived from approaches using a data-driven statistical foundation. This paper considers studies on the organic growth of young start-up science and technology parks by authors who have used big data, econometric analyses, panel data and computer simulations. The results and concepts are derived from industrialized countries, notably Sweden and the UK, and may well be applicable to many regions and emerging economies. The findings are of interest to regional development, technology entrepreneurs considering choosing an STP to inhabit, as well as those in STP central teams, specializing in management and enterprise development, including the sustainable growth of new parks.

Suggested Citation

  • Charles Mondal & Mousa Al-Kfairy & Robert B. Mellor, 2023. "Developing Young Science and Technology Parks: Recent Findings from Industrial Nations Using the Data-Driven Approach," Sustainability, MDPI, vol. 15(7), pages 1-12, April.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:7:p:6226-:d:1116104
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    References listed on IDEAS

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    1. Crescenzi, Riccardo & Nathan, Max & Rodríguez-Pose, Andrés, 2016. "Do inventors talk to strangers? On proximity and collaborative knowledge creation," Research Policy, Elsevier, vol. 45(1), pages 177-194.
    2. Sirirat Sae Lim & Hong Ngoc Nguyen & Chia-Li Lin, 2022. "Exploring the Development Strategies of Science Parks Using the Hybrid MCDM Approach," Sustainability, MDPI, vol. 14(7), pages 1-29, April.
    3. Ron Martin & Peter Sunley, 2011. "Conceptualizing Cluster Evolution: Beyond the Life Cycle Model?," Regional Studies, Taylor & Francis Journals, vol. 45(10), pages 1299-1318, November.
    4. David B. Audretsch & Maksim Belitski, 2022. "A strategic alignment framework for the entrepreneurial university," Industry and Innovation, Taylor & Francis Journals, vol. 29(2), pages 285-309, February.
    5. Rob Winters & Erik Stam, 2007. "Innovation Networks of High Tech SMES: Creation of Knowledge but no Creation of Value," Jena Economics Research Papers 2007-042, Friedrich-Schiller-University Jena.
    6. Enrico Vanino & Stephen Roper & Bettina Becker, 2020. "Knowledge to Money: Assessing the Business Performance Effects of Publicly Funded R&D Grants," ifo DICE Report, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 17(04), pages 20-24, January.
    7. Charles Mondal & Robert B. Mellor, 2021. "Analyses of small and medium-sized science and technology parks show that longer-term growth may depend upon attracting larger partners," International Journal of Management and Enterprise Development, Inderscience Enterprises Ltd, vol. 20(3), pages 311-328.
    8. Jeremy Howells & John Bessant, 2012. "Introduction: Innovation and economic geography: a review and analysis," Journal of Economic Geography, Oxford University Press, vol. 12(5), pages 929-942, September.
    9. Etzkowitz, Henry & Leydesdorff, Loet, 2000. "The dynamics of innovation: from National Systems and "Mode 2" to a Triple Helix of university-industry-government relations," Research Policy, Elsevier, vol. 29(2), pages 109-123, February.
    10. Matthias Georg Will & Robert B. Mellor, 2019. "Differences in creating product innovations versus process innovations across European industries," International Journal of Innovation and Regional Development, Inderscience Enterprises Ltd, vol. 9(1), pages 59-84.
    11. Mariagrazia Squicciarini, 2008. "Science Parks’ tenants versus out-of-Park firms: who innovates more? A duration model," The Journal of Technology Transfer, Springer, vol. 33(1), pages 45-71, February.
    12. Michael Carroll & Neil Reid & Bruce Smith, 2008. "Location quotients versus spatial autocorrelation in identifying potential cluster regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 42(2), pages 449-463, June.
    13. Andrew Johnston, 2019. "The roles of universities in knowledge-based urban development: a critical review," International Journal of Knowledge-Based Development, Inderscience Enterprises Ltd, vol. 10(3), pages 213-231.
    14. Nikiforou, Argyro Iro & Lioukas, Spyros & Voudouris, Irini, 2020. "Network structure and firm-level entrepreneurial behavior: The role of market and technological knowledge networks," Journal of Business Research, Elsevier, vol. 106(C), pages 129-138.
    15. Douglas Wegner & Anelise Rebelato Mozzato, 2019. "Shall we cooperate, or shall we compete? How network learning episodes influence strategic decisions in strategic networks," International Journal of Management and Enterprise Development, Inderscience Enterprises Ltd, vol. 18(3), pages 171-188.
    16. Perkmann, Markus & Tartari, Valentina & McKelvey, Maureen & Autio, Erkko & Broström, Anders & D’Este, Pablo & Fini, Riccardo & Geuna, Aldo & Grimaldi, Rosa & Hughes, Alan & Krabel, Stefan & Kitson, Mi, 2013. "Academic engagement and commercialisation: A review of the literature on university–industry relations," Research Policy, Elsevier, vol. 42(2), pages 423-442.
    17. Robert B. Mellor, 2018. "Big data modelling the knowledge economy," International Journal of Knowledge-Based Development, Inderscience Enterprises Ltd, vol. 9(3), pages 206-220.
    18. Andrew Johnston, 2022. "Open innovation in science: assessing the formation and function of SME-university collaborations through the proximity matrix," Industry and Innovation, Taylor & Francis Journals, vol. 29(2), pages 310-332, February.
    19. Robert B. Mellor, 2016. "Computer modelling the costs of management control in the development of knowledge-based SMEs," International Journal of Knowledge-Based Development, Inderscience Enterprises Ltd, vol. 7(4), pages 378-388.
    20. Johnston, Andrew & Huggins, Robert, 2018. "Partner selection and university-industry linkages: Assessing small firms' initial perceptions of the credibility of their partners," Technovation, Elsevier, vol. 78(C), pages 15-26.
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