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Innovative Collaboration and Acceleration: an Integrated Framework Based on Knowledge Transfer and Triple Helix

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Abstract

Although the triple helix model has successfully explained the complex evolution of multi-agent interaction in the innovation ecosystem, further research is still needed to classify and examine the mechanism of micro-innovation systems. Different from previous work, we regard the research institution as an independent innovation unit, and on this basis, we redefine the efficiency of the innovation system from the perspective of the collaboration and spatial relationship among the innovation units. In this way, the innovation system is actually carried out based on the accumulation of knowledge in the innovation unit, on the collaborative efficiency as the driving factor, and on the conditions of economic equilibrium under local resource constraints. The microscopic description of mathematical modeling clarifies the interaction mechanism of innovation units and provides a new angle for evaluating the efficiency of innovation systems. In addition, the model can better understand the evolution direction of innovation systems under the acceleration of changes in the economic and knowledge creation paradigm, and it also provides quantitative ideas for predicting the development of future innovation systems.

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References

  • Afonso, O., Monteiro, S., & Thompson, M. (2012). A growth model for the quadruple helix. Journal of Business Economics and Management, 13, 849–865.

    Article  Google Scholar 

  • Baccarne, B., Logghe, S., Schuurman, D., & De Marez, L. (2016). Governing quintuple helix innovation: Urban living labs and socio-ecological entrepreneurship. Technology Innovation Management Review, 6, 22–30.

    Article  Google Scholar 

  • Bai Chunli, E. A. (2013). Overview of major national scientific research institutions in the world. Science Press.

  • Carayannis, E. G., Barth, T. D., & Campbell, D. F. (2012). The quintuple helix innovation model: Global warming as a challenge and driver for innovation. Journal of Innovation and Entrepreneurship, 1, 1–12.

    Article  Google Scholar 

  • Carayannis, E. G., Campbell, D. F. (2017). Quadruple and quintuple helix innovation systems. In European Meetings on Cybernetics and Systems Research Vienna, 25.

  • Carayannis, E. G., Campbell, D. F. (2019). Innovation systems in conceptual evolution: Mode 3 knowledge production in quadruple and quintuple helix innovation systems. In Smart Quintuple Helix Innovation Systems, 39–49. Springer.

  • Carayannis, E. G., Campbell, D. F., & Rehman, S. S. (2016). Mode 3 knowledge production: Systems and systems theory, clusters and networks. Journal of Innovation and Entrepreneurship, 5, 1–24.

    Article  Google Scholar 

  • Carayannis, E. G., Grigoroudis, E., Campbell, D. F., Meissner, D., & Stamati, D. (2018). The ecosystem as helix: An exploratory theory-building study of regional co-opetitive entrepreneurial ecosystems as quadruple/quintuple helix innovation models. R&D Management, 48, 148–162.

    Article  Google Scholar 

  • Dusdal, J., Powell, J. J., Baker, D. P., Fu, Y. C., Shamekhi, Y., Stock, M. (2020). University vs. research institute? The dual pillars of german science production, 1950–2010. Minerva 1–24.

  • Etzkowitz, H., & Leydesdorff, L. (2000). The dynamics of innovation: From national systems and “mode 2” to a triple helix of university–industry–government relations. Research Policy, 29, 109–123.

    Article  Google Scholar 

  • Faria, J., Mixon, F., & Upadhyaya, K. (2019). Public policy and the university-industry R&D nexus. Knowledge Management Research & Practice, 17, 499–506.

    Article  Google Scholar 

  • Feng, C., Ding, M., & Sun, B. (2010). Selection of modes of cooperation among industries, universities and research institutes. Asian Social Science, 6, 97.

    Article  Google Scholar 

  • Freeman, C. (1987). Technology, policy, and economic performance: Lessons from Japan. Pinter Pub Ltd.

  • Gancarczyk, J. (2015). Generating systems of innovation in small and medium-sized tourism enterprises. International Journal of Contemporary Management 12.

  • Griffiths, R. (2004). Knowledge production and the research–teaching nexus: The case of the built environment disciplines. Studies in Higher Education, 29, 709–726.

    Article  Google Scholar 

  • Ivanova, I. (2014). Quadruple helix systems and symmetry: A step towards helix innovation system classification. Journal of the Knowledge Economy, 5, 357–369.

    Article  Google Scholar 

  • Ivanova, I. A., & Leydesdorff, L. (2014). Rotational symmetry and the transformation of innovation systems in a triple helix of university–industry–government relations. Technological Forecasting and Social Change, 86, 143–156.

    Article  Google Scholar 

  • Ivanova, I. A., & Leydesdorff, L. (2015). Knowledge-generating efficiency in innovation systems: The acceleration of technological paradigm changes with increasing complexity. Technological Forecasting and Social Change, 96, 254–265.

    Article  Google Scholar 

  • Ju, Z. (2003). A study on the pattern of international S&T cooperation in research universities and their functions in the cooperation. R & D Management.

  • Kaiser, R., & Prange, H. (2004). The reconfiguration of national innovation systems the example of German biotechnology. Research Policy, 33, 395–408.

    Article  Google Scholar 

  • Kamien, M. I., & Zang, I. (2000). Meet me halfway: Research joint ventures and absorptive capacity. International Journal of Industrial Organization, 18, 995–1012.

    Article  Google Scholar 

  • Kudrina, O., & Omelyanenko, V. (2018). Research framework for system security of technological & innovation systems. Baltic Journal of Economic Studies, 4, 248–254.

    Article  Google Scholar 

  • Kulikowski, R. (2003). Acceleration of economic growth by technological change and knowledge management. Bulletin of the Polish Academy of Sciences. Technical Sciences, 51, 323–333.

    Google Scholar 

  • Lee, Y. H., & Kim, Y. (2016). Analyzing interaction in R&D networks using the triple helix method: Evidence from industrial R&D programs in Korean government. Technological Forecasting and Social Change, 110, 93–105.

    Article  Google Scholar 

  • Leydesdorff, L. (2012). The knowledge-based economy and the triple helix model. arXiv preprint arXiv:1201.4553.

  • Leydesdorff, L. (2012b). The triple helix, quadruple helix, and an n-tuple of helices: Explanatory models for analyzing the knowledge-based economy? Journal of the Knowledge Economy, 3, 25–35.

    Article  Google Scholar 

  • Leydesdorff, L., Dolfsma, W., & Van der Panne, G. (2006). Measuring the knowledge base of an economy in terms of triple-helix relations among technology, organization, and territory. Research Policy, 35, 181–199.

    Article  Google Scholar 

  • Leydesdorff, L., & Ivanova, I. (2016). Open innovation and triple helix models of innovation: Can synergy in innovation systems be measured? Journal of Open Innovation: Technology, Market, and Complexity, 2, 1–12.

    Article  Google Scholar 

  • Leydesdorff, L., & Meyer, M. (2006). Triple helix indicators of knowledge-based innovation systems: Introduction to the special issue. Research Policy, 35, 1441–1449.

    Article  Google Scholar 

  • Lundvall, B. A. et al. (1992). National systems of innovation: Towards a theory of innovation and interactive learning.

  • Maleki, K., Hamadeh, R. R., Gholami, J., Mandil, A., Hamid, S., Butt, Z. A., Saeed, A. B., El Kheir, D. Y., Saleem, M., Maqsoud, S. et al. (2014). The knowledge translation status in selected eastern Mediterranean universities and research institutes. PloS One 9.

  • Miller, K., McAdam, R., & McAdam, M. (2018). A systematic literature review of university technology transfer from a quadruple helix perspective: Toward a research agenda. R&D Management, 48, 7–24.

    Article  Google Scholar 

  • Miller, K., McAdam, R., Moffett, S., Alexander, A., & Puthusserry, P. (2016). Knowledge transfer in university quadruple helix ecosystems: An absorptive capacity perspective. R&D Management, 46, 383–399.

    Article  Google Scholar 

  • Montalvo, C., Moghayer, S. (2011). State of an innovation system: Theoretical and empirical advance towards an innovation efficiency index.

  • Nelson, R. R. (1993). National innovation systems: A comparative analysis. Oxford University Press on Demand.

  • P´ovoa, L. M. C., Rapini, M. S. (2010). Technology transfer from universities and public research institutes to firms in brazil: What is transferred and how the transfer is carried out. Science and Public Policy, 37, 147–159.

    Article  Google Scholar 

  • Powell, J. J., Dusdal, J. (2017). The European Center of Science Productivity: Research universities and institutes in France, Germany, and the United Kingdom. International Perspectives on Education & Society 33, 55–84.

  • Ranga, M., & Etzkowitz, H. (2013). Triple helix systems: An analytical framework for innovation policy and practice in the knowledge society. Industry and Higher Education, 27, 237–262.

    Article  Google Scholar 

  • Rao, K., Meng, X., Piccaluga, A. (2012). The impact of government R&D investments on Chinese university technology transfer contracts: Based on the triple helix theory. Science of Science and Management of S. & T 33, 74–81.

  • Roesler, C., & Broekel, T. (2017). The role of universities in a network of subsidized R&D collaboration: The case of the biotechnology-industry in Germany. Review of Regional Research, 37, 135–160.

    Article  Google Scholar 

  • Silverberg, G., & Verspagen, B. (2007). Self-organization of R&D search in complex technology spaces. Journal of Economic Interaction and Coordination, 2, 211–229.

    Article  Google Scholar 

  • Smeby, J. C. (1998). Knowledge production and knowledge transmission. The interaction between research and teaching at universities. Teaching in Higher Education, 3, 5–20.

    Article  Google Scholar 

  • Sun, F. (2013). The role of research institutes and universities in science and technology decision-making in China. SITC-STI Policy Briefs 2013.

  • Teece, D. J. (1985). Multinational enterprise, internal governance, and industrial organization. The American Economic Review, 75, 233–238.

    Google Scholar 

  • Vincent, S., Danielson, A., Santos, B. R. (2015). Interdisciplinary environmental and sustainability education and research: Institutes and centers at us research universities. In Integrative Approaches to Sustainable Development at University Level, 275–292. Springer.

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Support from National Social Science Fund Major Research Project (18VZL003).

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Correspondence to Jianxin Guo.

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Pan, J., Guo, J. Innovative Collaboration and Acceleration: an Integrated Framework Based on Knowledge Transfer and Triple Helix. J Knowl Econ 13, 3223–3247 (2022). https://doi.org/10.1007/s13132-021-00852-4

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