Measuring uncertainty in Triple Helix innovation systems
DOI:
https://doi.org/10.46661/revmetodoscuanteconempresa.4837Keywords:
triple helix, innovation systems, technology innovation, aerospace industry, USA, EnglandAbstract
The present work compares the University-Industry-Government interaction of the Southern California aerospace innovation system with that of the North West of England; using the methodology to measure the uncertainty proposed by Leydesdorf, Park and Lengynel (2013). Using information from various sources that prioritize investment funds over patents, Southern California showed greater interactions compared to North West England. The impact that public funds and government policies on the industry, the transformation of academic dynamics, the advancement of the field of research, the development of innovations and the market, indicate that this type of methodologies can help decision-making in developing countries, provided that information sources and their availability improve.
Downloads
References
Abramson, N. (1963). Information theory and codin. Nueva York: McGraw-Hill.
Adler, P. (2001). Market, Hierarchy, and Trust: The Knowledge Economy and the Future of Capitalism. Organization Science, 12, 15-234.
Adner, R. (2006). Match Your Innovation Strategy to Your Innovation Ecosystem. Harvard Business Review, 4(84), 1-11.
Aghion, P. & Howitt, P. (1990). A Model of Growth Through Creative Destruction. NBER Working Paper Series, 2, 323-351. https://doi.org/10.2307/2951599
Avaro, D. (2011). Ciencia, universidades e investigadores: agendas, desafíos y prácticas, Ciencia, universidades e investigadores: agendas, desafíos y prácticas. http://www.cloud.7tres.com/P037b.pdf
Carlsson, B. (2006). Internationalization of Innovation Systems: A Survey of the Literature, Conference in honor of Keith Pavitt: What Do We Know about Innovation? Sussex, UK: Science & Technology Policy Research. https://www.sciencedirect.com/science/article/abs/pii/S0048733305001757
Castells, M.C. (2006). The network society: From knowledge to policy. Washington, DC: Johns Hopkins Center for Transatlantic Relations.
Cohen, W.M., & Levinthal, D. A. (1990). Absorptive capacity: A new perspective on learning and innovation. Administrative science quarterly, 1(35), 128-152. https://doi.org/10.2307/2393553
David, P.A., & Foray, D. (2002). An introduction to the economy of the knowledge society. International Social Science Journal, 171(54), 9-23. https://doi.org/10.1111/1468-2451.00355
Dosi, G., Marengo, L., & Fagiolo, G. (2003). Learning in evolutionary environments. LEM Working Paper Series.
Etzkowitz, H. (2003). Innovation in Innovation: The Triple Helix of University-Industry-Government Relations. Social Science Information, 3(42), 293-337.
Etzkowitz, H., & Klofsten, M. (2005). The innovating region: toward a theory of knowledge-based regional development. R&D Management, 3(35), 243-255. https://doi.org/10.1111/j.1467-9310.2005.00387.x
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, 2(29), 109-123.
Etzkowitz, H., & Ranga, M. (2010). A Triple Helix system for knowledge-based regional development: from spheres to spaces, VIII Triple Helix Conference (pág. 129), Triple Helix Asociation.
Etzkowitz, H., & Zhou, C. (2007). Regional innovation initiator: the entrepreneurial university in various triple helix models, Triple Helix 6th Conference theme paper, Singapore, Singapur.
Feldman, J.M. (2001). Towards the post-university: Centres of higher learning and creative spaces as economic development and social change agents. Economic and Industrial Democracy, 1(22), 99-142. https://doi.org/10.1177/0143831X01221005
Feldman, J.M. (2007). The managerial equation and innovation platforms: the case of Linköping and Berzelius science park. European Planning Studies, 8(15), 1027-1045. https://doi.org/10.1080/09654310701448162
Hauge, A. (2008). Knowledge economies: innovation, organization and location by Wilfred Dolfsma. Journal of Economic Geography, 9, 285-287. https://doi.org/10.1093/jeg/lbn037
Hermens, F. (1941). Democracy or anarchy? A study of proportional representation. Notre Dame: Review of politics, University of Natre Dame.
Human Sciences and Technologies Advanced Research Institute (2011). The Triple Helix concept | Triple Helix IX International Conference 11-14 July 2011. http://www.triplehelixconference.org/th/9/the-triple-helix-concept.html
Islam, R. (2010). Human capital composition, proximity to technology frontier and productivity growth. Department of Economics, discussion paper, 10(23), 1-41.
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. https://doi.org/10.1016/j.techfore.2013.08.022
Lengyel, B., & Leydesdorff, L. (2011). Regional innovation systems in Hungary: the failing synergy at the national level. Regional Studies, 5(45), 677-693. https://doi.org/10.1080/00343401003614274
Leydesdorff, L., & Etzkowitz, H. (1998). The triple helix as a model for innovation studies. Science and public policy, 3(25), 195-203.
Leydesdorff, L., & Fritsch, M. (2006). Measuring the knowledge base of regional innovation systems in Germany in terms of a Triple Helix dynamics. Research Policy, 10(35), 1538-1553. https://doi.org/10.1016/j.respol.2006.09.027
Leydesdorff, L., & Meyer, M. (2006). Triple Helix indicators of knowledge-based innovation systems: Introduction to the special issue. Research Policy, 10(35), 1441-1449. https://doi.org/10.1016/j.respol.2006.09.016
Leydesdorff, L., & Strand, Ø. (2013). The Swedish System of Innovation: Regional Synergies in a Knowledge Based Economy. Journal of the Association for Information Science and Technology, 9(64), 1890–1902. https://doi.org/10.1002/asi.22895
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, 2(35), 181-199. https://doi.org/10.1016/j.respol.2005.09.001
Leydesdorff, L., Etzkowitz, H., Ivanova, I., & Meyer, M. (2017). The Measurement of Synergy in Innovation Systems: Redundancy Generation in a Triple Helix of University-Industry-Government Relations, SPRU Working Paper Series, 1-52. https://doi.org/10.2139/ssrn.2937647
Leydesdorff, L., Park, H.W., & Lengyel, B. (2013). A routine for measuring synergy in university–industry–government relations: mutual information as a Triple-Helix and Quadruple-Helix indicator. Scientometrics, 1(99), 27-35. https://doi.org/10.1007/s11192-013-1079-4
Lowe, C.U. (1982). The triple helix-NIH, industry, and the academic world. The Yale Journal of Biology and Medicine, 3(5), 239-246.
MacKay, D.J. (2003). Information theory, inference and learning algorithms. Cambridge University press.
Martin-de-Castro, G.L. (2008). Processes of knowledge creation in knowledge-intensive firms: Empirical evidence from Boston's Route 128 and Spain. Technovation, 4(28), 222-230. https://doi.org/10.1016/j.technovation.2007.10.002
McGill, W.J. (1954). Multivariate information transmission. In Transactions of the IRE Professional Group on Information Theory. Psychometrika, 19, 97-116. https://doi.org/10.1109/TIT.1954.1057469
Moore, J. (2006). Business ecosystems and the view from the firm. Antitrust Bulletin, 1(51), 51-75.
Park, H.W., & Leydesdorff, L. (2010). Longitudinal trends in networks of university–industry–government relations in South Korea: The role of programmatic incentives. Research Policy, 5(39), 640-649. https://doi.org/10.1016/j.respol.2010.02.009
Park, H.W., Hong, H.D., & Leydesdorff, L. (2005). A comparison of the knowledge-based innovation systems in the economies of South Korea and the Netherlands using Triple Helix indicators. Scientometrics, 2(25), 3-27. https://doi.org/10.1007/s11192-005-0257-4
Perevodchikov, E., Uvarov, A., & Leydesdorff, L. (2013). Measuring synergy in the Russian innovation system, 12th international conference about the triple helix of university-industry-government relations. Londres.
Peters, L., & Etzkowitz, H. (1990). University-industry connections and academic values. Technology in Society, 4(12), 427-440. https://doi.org/10.1016/0160-791X(90)90013-3
Powell, W., & Snellman, K. (2004). The Knowledge Economy. Annual Review of Sociology, 30, 199-220. https://doi.org/10.1146/annurev.soc.29.010202.100037
QS World University Rankings (2014). QS World University Rankings by Subject 2014-Engineering-Mechanical, Aeronautical & Manufacturing. Top Universities. QS World University Rankings.
Ranga, M., & Etzkowitz, H. (2013). Triple Helix systems: an analytical framework for innovation policy and practice in the Knowledge Society. Industry and Higher Education, 4(27), 237-262. https://doi.org/10.5367/ihe.2013.0165
Rohrbeck, R., Hölzle, K., & Gemünden, H.G. (2009). Opening up for competitiveadvantage. How DeutscheTelekom creates an open innovation ecosystem. R&D Management, 4(39), 420-430. https://doi.org/10.1111/j.1467-9310.2009.00568.x
Sabato, J., Makenzie, M., Brown, L., Mosher, A., Murmis, M., Bengoa, J., et al. (1982). La producción de tecnología: autónoma o transnacional. Mexico, D.F.: Instituto Latinoamericano de Estudios Transnacionales.
Schumpeter, J.A. (1934). Essays of JA Schumpeter. Boston: Adisson -Wesley Press.
Shanon, C. (1948). A mathematical theory of communication. The Bell systems technical journal, 27, 379-423. https://doi.org/10.1002/j.1538-7305.1948.tb01338.x
Strand, Ø., & Leydesdorff, L. (2013). Where is synergy indicated in the Norwegian innovation system? Triple-Helix relations among technology, organization, and geography. Technological Forecasting and Social Change, 3(80), 471-484. https://doi.org/10.1016/j.techfore.2012.08.010
Theil, H. (1972). Statistical decomposition analysis with applications in the social and administrative sciences (4). Londres, Inglaterra: London North-Holland.
Ye, F.Y., Yu, S.S., & Leydesdorff, L. (2013). The Triple Helix of University Industry Government Relations at the Country Level, and its Dynamic Evolution under the Pressures of Globalization. Journal of the American Society for Information Science and Technology, 11(64), 2317-2325. https://doi.org/10.1002/asi.22931
Yeung, R.W. (2008). Information theory and network coding. New York: Springer Science & Business Media.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Submission of manuscripts implies that the work described has not been published before (except in the form of an abstract or as part of thesis), that it is not under consideration for publication elsewhere and that, in case of acceptance, the authors agree to automatic transfer of the copyright to the Journal for its publication and dissemination. Authors retain the authors' right to use and share the article according to a personal or instutional use or scholarly sharing purposes; in addition, they retain patent, trademark and other intellectual property rights (including research data).
All the articles are published in the Journal under the Creative Commons license CC-BY-SA (Attribution-ShareAlike). It is allowed a commercial use of the work (always including the author attribution) and other derivative works, which must be released under the same license as the original work.
Up to Volume 21, this Journal has been licensing the articles under the Creative Commons license CC-BY-SA 3.0 ES. Starting from Volume 22, the Creative Commons license CC-BY-SA 4.0 is used.
