dc.contributor | Desarrollo y Gerencia Integral de Proyectos | |
dc.creator | Figueroa Galvis, Neira Yolima | |
dc.creator | Olaya Escobar, Erika Sofía | |
dc.creator | Castro Silva, Hugo Fernando | |
dc.date.accessioned | 2021-05-06 | |
dc.date.accessioned | 2021-10-01T17:40:09Z | |
dc.date.accessioned | 2022-09-29T14:36:56Z | |
dc.date.available | 2021-05-06 | |
dc.date.available | 2021-10-01T17:40:09Z | |
dc.date.available | 2022-09-29T14:36:56Z | |
dc.date.created | 2021-05-06 | |
dc.date.created | 2021-10-01T17:40:09Z | |
dc.date.issued | 2020 | |
dc.identifier | 0718-2724 | |
dc.identifier | https://repositorio.escuelaing.edu.co/handle/001/1407 | |
dc.identifier | 10.4067/S0718-27242020000200081 | |
dc.identifier | https://doi.org/10.4067/S0718-27242020000200081 | |
dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/3776088 | |
dc.description.abstract | La transferencia de conocimiento y tecnología de las universidades contribuye al desarrollo regional y favorece la innovación. El objetivo de este trabajo es proponer un modelo para la selección de estrategias de transferencia adaptadas a las características contextuales de las Instituciones de Educación Superior de Colombia. Para ello, se realizó un Análisis Cualitativo Comparativo (QCA), mediante el cual se identifica la combinación de condiciones de fondo que generan una salida. La medida de desempeño fue el número de patentes de invención otorgadas y la aplicación empírica consideró 184 Instituciones de Educación Superior de Colombia. | |
dc.description.abstract | The transfer of knowledge and technology from universities contributes to regional development and favors innovation. The objective of this paper is to propose a model for the selection of transfer strategies adapted to the contextual characteristics of Higher Education Institutions of Colombia. For this purpose, a Qualitative Comparative Analysis (QCA) was performed, by which the combination of background conditions that generate an output is identified. The performance measure was the number of invention patents granted and the empirical application considered 184 Higher Education Institutions of Colombia. The results of the study identified ten strategic configurations that suggest different alternatives to potentiate protection through transfer mechanisms and highlights “productivity” and “innovation by territorial unit” as the best predictor of patents. | |
dc.language | spa | |
dc.publisher | Revista del Grupo de Innovación y Gestión Tecnológica | |
dc.publisher | Chile | |
dc.relation | Vol. 15 No. 2 (2020) | |
dc.relation | 94 | |
dc.relation | 2 | |
dc.relation | 81 | |
dc.relation | 15 | |
dc.relation | N/A | |
dc.relation | Journal of Technology Management and Innovation | |
dc.relation | Arenas, J., & González, D. (2018). Technology Transfer Models and Elements in the University-Industry Collaboration. Administrative Sciences, 8(2), 19. https://doi.org/10.3390/admsci8020019 | |
dc.relation | Berbegal-Mirabent, J., & Guerrero, A. D. (2016). Examining technolo-gy transfer activities at universities : Does one recipe explain all outco-mes ? 137–144. | |
dc.relation | J. Technol. Manag. Innov. 2020. Volume 15, Issue 2ISSN: 0718-2724. (http://jotmi.org)Journal of Technology Management & Innovation © Universidad Alberto Hurtado, Facultad de Economía y Negocios.91Berbegal-Mirabent, J., & Guerrero, A. D. (2016). Examining technolo-gy transfer activities at universities : Does one recipe explain all outco-mes ? 137–144. | |
dc.relation | Bierly, P., & Chakrabarti, A. (1996). Generic knowledge strategies in the U.S. pharmaceutical industry. Strategic Management Journal, 17(S2), 123–135. https://doi.org/10.1002/smj.4250171111 | |
dc.relation | Bolisani, E., & Bratianu, C. (2017). Knowledge strategy planning: an integrated approach to manage uncertainty, turbulence, and dyna-mics. Journal of Knowledge Management, 21(2), 233–253. https://doi.org/10.1108/JKM-02-2016-0071 | |
dc.relation | Bradley, S. R., Hayter, C. S., & Link, A. N. (2013). Models and Methods of University Technology Transfer. Foundations and Trends® in Entre-preneurship, 9(6), 571–650. https://doi.org/10.1561/0300000048 | |
dc.relation | Brătianu, C. (2015). Developing Strategic Thinking in Business Edu-cation. Management Dynamics in the Knowledge Economy, 3(3), 409–429. www.managementdynamics.ro | |
dc.relation | Budyldina, N. (2018). Entrepreneurial universities and regional con-tribution. International Entrepreneurship and Management Journal, 14(2), 265–277. https://doi.org/10.1007/s11365-018-0500-0 | |
dc.relation | Carree, M., Piergiovanni, R., Santarelli, E., & Verheul, I. (2015). Factors favoring innovation from a regional perspective: A comparison of pa-tents and trademarks. International Entrepreneurship and Management Journal, 11(4), 793–810. https://doi.org/10.1007/s11365-014-0313-8 | |
dc.relation | Chang, Y.-C., Chen, M.-H., Hua, M., & Yang, P. Y. (2006). Managing academic innovation in Taiwan: Towards a ‘scientific–economic’ fra-mework. Technological Forecasting and Social Change, 73(2), 199–213. https://doi.org/10.1016/J.TECHFORE.2004.10.004 | |
dc.relation | Chang, Y.-C., & Yang, P. Y. (2008). The impacts of academic patenting and licensing on knowledge production and diffChang, Y.-C., & | |
dc.relation | Yang, P. Y. (2008). The impacts of academic patenting and licensing on knowledge production and diffusion: a test of the anti-commons effect in Taiwan. R&D Man. R&D Management, 38(3), 321–334. https://doi.org/10.1111/j.1467-9310.2008.00513.x-i1 | |
dc.relation | Chang, Y.-C., Yang, P. Y., & Chen, M.-H. (2009). The determinants of academic research commercial performance: Towards an organi-zational ambidexterity perspective. Research Policy, 38(6), 936–946. https://doi.org/10.1016/J.RESPOL.2009.03.005 | |
dc.relation | Chang, Y.-C., Yang, P. Y., Martin, B. R., Chi, H.-R., & Tsai-Lin, T.-F. (2016). Entrepreneurial universities and research ambidexterity: A multilevel analysis. Technovation, 54, 7–21. https://doi.org/10.1016/J.TECHNOVATION.2016.02.006 | |
dc.relation | Chapple, W., Lockett, A., Siegel, D., & Wright, M. (2005). Assessing the relative performance of U.K. university technology transfer offi-ces: parametric and non-parametric evidence. Research Policy, 34(3), 369–384. https://doi.org/10.1016/J.RESPOL.2005.01.007 | |
dc.relation | Cornell University, INSEAD, & WIPO. (2017). The Global Innova-tion Index 2017 Innovation Feeding the World. In The Global Innova-tion Index 2017: Innovation Feeding the World. | |
dc.relation | Di Gregorio, D., & Shane, S. (2003). Why do some universities ge-nerate more start-ups than others? Research Policy, 32(2), 209–227. https://doi.org/10.1016/S0048-7333(02)00097-5 | |
dc.relation | Eisenhardt, K. M., & Santos, F. M. (2012). Knowledge-Based View: A New Theory of Strategy? In Handbook of Strategy and Management (pp. 139–164). SAGE Publications Ltd. https://doi.org/10.4135/9781848608313.n7 | |
dc.relation | Etzkowitz, H. (2003). Innovation in Innovation: The Triple Helix of University-Industry-Government Relations. Social Science Informa-tion, 42(3), 293–337. https://doi.org/10.1177/05390184030423002 | |
dc.relation | Etzkowitz, H., & Leydesdorff, L. (2000). The dynamics of innovation: from National Systems and “Mode 2” to a Triple Helix of universi-ty–industry–government relations. Research Policy, 29(2), 109–123. https://doi.org/10.1016/S0048-7333(99)00055-4 | |
dc.relation | Etzkowitz, H., Webster, A., Gebhardt, C., & Terra, B. R. C. (2000). The future of the university and the university of the future: evolution of ivory tower to entrepreneurial paradigm. Research Policy, 29(2), 313–330. https://doi.org/10.1016/S0048-7333(99)00069-4 | |
dc.relation | Fiss, P. C. (2011). Building Better Causal Theories: A Fuzzy Set Approach to Typologies in Organization Research. Academy of Management Journal, 54(2), 393–420. https://doi.org/10.5465/amj.2011.60263120 | |
dc.relation | Franco, M., & Haase, H. (2015). University-industry cooperation: Researchers’ motivations and interaction channels. Journal of Engi-neering and Technology Management - JET-M, 36, 41–51. https://doi.org/10.1016/j.jengtecman.2015.05.002 | |
dc.relation | Fuquen, H. S., & Olaya-Escobar, E. S. (2018). A technology transfer strategy based on the dynamics of the generation of intellectual pro-perty in Latin-America. Intangible Capital, 14(2), 203–252. https://doi.org/10.3926/ic.873 | |
dc.relation | Hamdoun, M., Chiappetta Jabbour, C. J., & Ben Othman, H. (2018). Knowledge transfer and organizational innovation: Im-pacts of quality and environmental management. Journal of Clea-ner Production, 193, 759–770. https://doi.org/10.1016/J.JCLE-PRO.2018.05.031 | |
dc.relation | Han, J. (2017). Technology commercialization through sustainable knowledge sharing from university-industry collaborations, with a focus on patent propensity. Sustainability (Switzerland), 9(10). https://doi.org/10.3390/su9101808 | |
dc.relation | HAN, J., & KIM, J. (2016). EMPIRICAL ANALYSIS OF TECHNO-LOGY TRANSFER IN KOREAN UNIVERSITIES. International Journal of Innovation Management, 20(08), 1640018. https://doi.org/10.1142/S1363919616400181 | |
dc.relation | Hogan, T. (2011). an Overview of the Knowledge Economy , With a Focus on. August, 1–35. | |
dc.relation | Johnson, W. H. A. (2008). Roles, resources and benefits of interme-diate organizations supporting triple helix collaborative R&D: The case of Precarn. Technovation, 28(8), 495–505. https://doi.org/10.1016/J.TECHNOVATION.2008.02.007 | |
dc.relation | Kashyap, A., & Agrawal, R. (2019). Scale development and modeling of intellectual property creation capability in higher education. Jour-nal of Intellectual Capital, 21(1), 115–138. https://doi.org/10.1108/JIC-09-2018-0168 | |
dc.relation | Kasten, J. (2007). Knowledge strategy and its influence on knowledge organization (Vol. 1). http://dlist.sir.arizona.edu/1907 | |
dc.relation | Landry, R., Amara, N., Cloutier, J. S., & Halilem, N. (2013). Technolo-gy transfer organizations: Services and business models. Technovation, 33(12), 431–449. https://doi.org/10.1016/j.technovation.2013.09.008 | |
dc.relation | Laredo, P. (2007). Revisiting the Third Mission of Universities: Toward a Renewed Categorization of University Activities? Higher Education Policy, 20(4), 441–456. https://doi.org/10.1057/palgrave.hep.8300169 | |
dc.relation | Linton, J. D. (2018). DNA of the Triple Helix: Introduction to the special issue. Technovation. https://doi.org/10.1016/J.TECHNOVA-TION.2018.07.002 | |
dc.relation | Lockett, A., & Wright, M. (2005). Resources, capabilities, risk capital and the creation of university spin-out companies. Research Policy, 34(7), 1043–1057. https://doi.org/10.1016/J.RESPOL.2005.05.006 | |
dc.relation | Lockett, A., Wright, M., & Wild, A. (2015). The Institutionalization of Third Stream Activities in UK Higher Education: The Role of Dis-course and Metrics. British Journal of Management, 26(1), 78–92. https://doi.org/10.1111/1467-8551.12069 | |
dc.relation | Longest, K. C., & Vaisey, S. (2008). fuzzy: A program for performing qualitative comparative analyses (QCA) in Stata. Stata Journal, 8(1), 79–104. https://ideas.repec.org/a/tsj/stataj/v8y2008i1p79-104.html | |
dc.relation | Markman, G. D., Phan, P. H., Balkin, D. B., & Gianiodis, P. T. (2005). Entrepreneurship and university-based technology transfer. Jour-nal of Business Venturing, 20(2), 241–263. https://doi.org/10.1016/J.JBUSVENT.2003.12.003 | |
dc.relation | Mintzberg, H. (1993). The Fall and Rise of Strategic Planning. Har-vard Business Review | |
dc.relation | O’Shea, R. P., Allen, T. J., Chevalier, A., & Roche, F. (2005). Entre-preneurial orientation, technology transfer and spinoff performan-ce of U.S. universities. Research Policy, 34(7), 994–1009. https://doi.org/10.1016/j.respol.2005.05.011 | |
dc.relation | Olaya-Escobar, E. S., Berbegal-Mirabent, J., & Alegre, I. (2020). Te-chnological Forecasting & Social Change Exploring the relationship between service quality of technology transfer offices and researchers ’ patenting activity. Technological Forecasting & Social Change, 157(No-vember 2018), 120097. https://doi.org/10.1016/j.techfore.2020.120097 | |
dc.relation | OMPI. (2019). World Intellectual Property Indicators 2019. | |
dc.relation | Philpott, K., Dooley, L., O’Reilly, C., & Lupton, G. (2011). The entre-preneurial university: Examining the underlying academic tensions. Technovation, 31(4), 161–170. https://doi.org/10.1016/J.TECHNO-VATION.2010.12.003 | |
dc.relation | Pinheiro, R., Langa, P. V., & Pausits, A. (2015). The institutionaliza-tion of universities’ third mission: introduction to the special issue. European Journal of Higher Education, 5(3), 227–232. https://doi.org/10.1080/21568235.2015.1044551 | |
dc.relation | Ragin, C. (2006). Guía del usuario de Fuzzy-Set / Qualitative Com-parative Analysis 2.0. Tucson, Arizona: Departamento de Sociología, Universidad de Arizona | |
dc.relation | Ragin, C., Drass, K. A., & Sean, D. (2006). Fuzzy-Set / Qualitative Comparative Analysis 2.0 . Tucson, Arizona: Departamento de Socio-logía, Universidad de Arizona. | |
dc.relation | Ragin, C., & Fiss, P. C. (2008). Net effects analysis versus configu-rational analysis: An empirical demonstration. In Redesigning Social Inquiry: Set Relations in Social Research. In press. Chicago, University of Chicago Press | |
dc.relation | Schmid, J., & Fajebe, A. (2019). Variation in patent impact by orga-nization type: An investigation of government, university, and cor-porate patents. Science and Public Policy, 46(4), 589–598. https://doi.org/10.1093/scipol/scz010 | |
dc.relation | Schneider, C. Q., & Wagemann, C. (2010). Standards of Good Practi-ce in Qualitative Comparative Analysis (QCA) and Fuzzy-Sets. Com-parative Sociology, 9(3), 397–418. https://doi.org/10.1163/156913210X12493538729793 | |
dc.relation | Shattock, M., Unesco., & International Institute for Educational Plan-ning. (2009). Entrepreneurialism in universities and the knowledge economy : diversification and organizational change in European hig-her education. Society for Research into Higher Education & Open University Press | |
dc.relation | Siegel, D. S., Waldman, D., & Link, A. (2003). Assessing the impact of organizational practices on the relative productivity of university te-chnology transfer offices: an exploratory study. Research Policy, 32(1), 27–48. https://doi.org/10.1016/S0048-7333(01)00196-2 | |
dc.relation | The World Bank. (2018). How does the World Bank classify countries? – World Bank Data Help Desk. https://datahelpdesk.worldbank.org/knowledgebase/articles/378834-how-does-the-world-bank-classify-countries | |
dc.relation | Thursby, J. G., Jensen, R., & Thursby, M. C. (2001). Objectives, Cha-racteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities. The Journal of Technology Transfer, 26(1/2), 59–72. https://doi.org/10.1023/A:1007884111883 | |
dc.relation | Thursby, J. G., & Kemp, S. (2002). Growth and productive efficiency of university intellectual property licensing. Research Policy, 31(1), 109–124. https://doi.org/10.1016/S0048-7333(00)00160-8 | |
dc.relation | Thursby, J. G., & Thursby, M. C. (2002). Who Is Selling the Ivory Tower? Sources of Growth in University Licensing. Management Science, 48(1), 90–104. https://doi.org/10.1287/mnsc.48.1.90.14271 | |
dc.relation | Toscano, F. L. P., Mainardes, E. W., & Lasso, S. V. (2017). Exploring Challenges in University Technology Transfer in Brazil. International Journal of Innovation and Technology Management, 14(04), 1750021. https://doi.org/10.1142/S0219877017500213 | |
dc.relation | Von Krogh, G., Nonaka, I., & Aben, M. (2001). Making the most of your company’s knowledge: A strategic framework. Long Range Plan-ning, 34(4), 421–439. https://doi.org/10.1016/S0024-6301(01)00059-0 | |
dc.relation | Woodside, A. G. (2012). Proposing a new logic for data analysis in marketing and consumer behavior: case study research of large-N sur-vey data for estimating algorithms that accurately profile X (extremely high-use) consumers. Journal of Global Scholars of Marketing Science, 22(4), 277–289. https://doi.org/10.1080/21639159.2012.717369 | |
dc.relation | Wright, M., Clarysse, B., Lockett, A., & Knockaert, M. (2008). Mid-range universities’ linkages with industry: Knowledge types and the role of intermediaries. Research Policy, 37(8), 1205–1223. https://doi.org/10.1016/J.RESPOL.2008.04.021 | |
dc.relation | Zack, M. H. (1999). Developing a Knowledge Strategy. In CALIFOR-NIA MANAGEMENT REVIEW (Vol. 41, Issue 3) | |
dc.relation | CEPAL. (2016). Ciencia, tecnología e innovación en la economía di-gital. La situación de América Latina y el Caribe. Segunda Reunión de La Conferencia de Ciencia, Innovación y TIC de La CEPAL, 96. https://doi.org/10.1017/CBO9781107415324.004 | |
dc.relation | CRES. (2018a). El Papel Estratégico De La Educación Superior En El Desarrollo Sostenible De América Latina Y El Caribe. http://www.cres2018.org/uploads/educacion-superior-desarrollo-sostenible.pdfCRES. (2018b). Tendencias de la educación superior en América La-tina y el Caribe 2018. http://www.cres2018.org/uploads/educacion-superior-tendencias-ecuador.pdf | |
dc.relation | Fernández Guerrero, R., Revuelto Taboada, L., & Simón Moya, V. (2018). Supervivencia de empresas sociales de nueva creación. Un en-foque basado en el análisis cualitativo comparativo fsQCA. CIRIEC-España, Revista de Economía Pública, Social y Cooperativa. https://doi.org/10.7203/CIRIEC-E.92.10735 | |
dc.relation | Figueroa-Galvis, N. Y., Olaya-Escobar, E.S., & Castro Silva, H. (2019a). Identificación y comparación de factores que inciden en la transferencia de tecnología - XVIII Congreso Latino Iberoamericano de Gestión Tecnológica ALTEC 2019 Medellín. Debates Sobre Innova-ción. http://economiaeinnovacionuamx.org/secciones/debatessobre-%0Ainnovacion | |
dc.relation | Figueroa-Galvis, N. Y., Olaya-Escobar, E. S., & Castro Silva, H. (2019b). Diseño de un modelo para la selección de estrategias de trans-ferencia a la medida de las características contextuales de las Institucio-nes de Educación Superior: caso Colombia. Universidad Pedagógica y Tecnológica de Colombia. | |
dc.relation | Gandini, L. (2014). El análisis comparativo cualitativo como estrategia metodológica. June. | |
dc.relation | Olaya-Escobar, E. S., Berbegal-Mirabent, J., & Duarte, O. G. (2014). Desempeño de las oficinas de transferencia universitarias como in-termediarias para la potencialización del mercado de conocimien-to. Intangible Capital, 10(1), 155–188. https://doi.org/http://dx.doi.org/10.3926/ic.497 | |
dc.relation | Reuters. (2018). Reuters Top 100: las universidades más innovado-ras del mundo - 2018 - Reuters. https://www.reuters.com/article/us-amers-reuters-ranking-innovative-univ/reuters-top-100-the-worlds-most-innovative-universities-2018-idUSKCN1ML0AZ#unis | |
dc.relation | WIPO. (2020). Patentes académicas: cómo las universidades y las or-ganizaciones públicas de investigación están utilizando su propiedad intelectual para impulsar la investigación y estimular nuevas empresas innovadoras. https://www.wipo.int/sme/en/documents/academic_patenting.html | |
dc.rights | https://creativecommons.org/licenses/by-nc/4.0/ | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.rights | Atribución-NoComercial 4.0 Internacional (CC BY-NC 4.0) | |
dc.source | https://www.jotmi.org/index.php/GT/article/view/3369 | |
dc.title | Modelo de identificación de estrategias para potencializar la generación de patentes a la medida de la Institución de Educación Superior. | |
dc.type | Artículo de revista | |