Collaborative innovation, partners, and geographical proximity in the tourism sector in Chile: Innovación colaborativa, socios y proximidad geográfica en el sector de turismo en Chile

• Cristian Geldes ^[1]
  1. [1] Universidad Alberto Hurtado

     Universidad Alberto Hurtado

     Santiago, Chile

     
• Localización: RIAT: Revista Interamericana de Medioambiente y Turismo, ISSN-e 0718-235X, Vol. 19, Nº. 1, 2023, págs. 2-12
• Idioma: inglés
• DOI: 10.4067/s0718-235x2023000100002
• Enlaces
  • Texto completo
• Resumen
  • español

    Cada vez más, las empresas colaboran con diversos acto¬res para innovar, como otras organizaciones empresaria¬les y organizaciones de apoyo a las empresas. Compren¬der mejor la relación entre los agentes que participan en la innovación colaborativa es esencial para la gestión y la política de la innovación. Sin embargo, la literatura sobre innovación colaborativa dirigida a países emergentes y al sector turístico es relativamente escasa. Utilizando da¬tos de 257 empresas turísticas chilenas y el modelo de ecuaciones estructurales de mínimos cuadrados parciales (PLS-SEM), analizamos el efecto de las interrelaciones de las empresas turísticas con las organizaciones empresa¬riales y con organizaciones de apoyo en la innovación de productos y procesos, y el efecto de la proximidad geo¬gráfica. Los resultados afirman que la colaboración con organizaciones empresariales como compradores y pro¬veedores facilita la innovación. Además, la colaboración con organizaciones de apoyo a la empresa como universi¬dades, organismos públicos y centros tecnológicos facilita la innovación de procesos y está influida por la proximidad geográfica. Se discuten las conclusiones e implicaciones.

  • English

    Increasingly, firms collaborate with diverse actors to innovate, such as other business organizations and bu-siness support organizations. A better understanding of the relationship between the actors engaged in co-llaborative innovation is essential to innovation mana¬gement and policy. However, literature on collaborati¬ve innovation addressing emerging countries and the tourism sector is relatively scarce. Using data from 257 Chilean tourism firms and partial least square structural equation modeling (PLS-SEM), we analyze the effect of the interrelations of tourism firms with business and su¬pport organizations on product and process innovation and the effect of geographical proximity. The results state that collaboration with business organizations as buyers and suppliers facilitates innovation. In addition, collaboration with business support organizations such as universities, public organisms, and technological centers facilitates process innovation and is influenced by geographical proximity. Conclusions and implica¬tions are discussed.

• Referencias bibliográficas
  • Asheim, B. T., & Isaksen, A. (2002). Regional innovation systems: the integration of local ‘sticky’ and global ‘ubiquitous’ knowledge....
  • Balland, P. A., Boschma, R., & Frenken, K. (2022). Proximity, innovation and networks: A concise review and some next steps. Handbook...
  • Bengtsson, M., & Raza-Ullah, T. (2016). A systematic review of research on coopetition: Toward a multilevel understanding. Industrial...
  • Boschma, R. (2005). Proximity and innovation: a critical assessment. Regional studies, 39(1), 61-74.
  • Cantù, C., Corsaro, D. and Tunisini, A. (2015a). Editorial – Organizing for innovation networks. Journal Of Business & Industrial Marketing,...
  • Cantù, C., Corsaro, D. and Tunisini, A. (2015b). Editorial – Innovation networks: the key role of actors. Journal Of Business & Industrial...
  • Castillo-Vergara, M., & Torres Aranibar, E. (2019). El papel de la Cooperación para Desarrollar Innovación Tecnológica en la PYME. Journal...
  • Chesbrough, Henry William (2003). Open innovation: The new imperative for creating and profiting from technology. Harvard Business Press,...
  • Cho, G., Hwang, H., Sarstedt, M., & Ringle, C. M. (2020). Cutoff criteria for overall model fit indexes in generalized structured component...
  • Cohen, J. (1988). Statistical power Analysis for the behavioral sciences, 2nd ed. Hillsdale, NJ: Erlbaum
  • Crossan, M., & Apaydin, M. (2010). A multi-dimensional framework of organizational innovation: A systematic review of the literature....
  • De Faria, Pedro, Francisco Lima, and Rui Santos (2010). "Cooperation in innovation activities: The importance of partners." Research...
  • Divisekera, S., & Nguyen, V. K. (2018). Determinants of innovation in tourism evidence from Australia. Tourism Management, 67, 157-167.
  • Etzkowitz, H., & Leydesdorff, L. (2000). The dynamics of innovation: from National Systems and “Mode 2” to a Triple Helix of university–industry–government...
  • Fagerberg, J., & Sapprasert, K. (2011). National innovation systems: the emergence of a new approach. Science and public policy, 38(9),...
  • Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal...
  • Fuentes, R. A., Soto-Caro, A., & Paredes, D. (2019). The Impact of Cooperation on Business Innovation in Developing Countries: Evidence...
  • Gallaud, D. (2013). Collaborative Innovation and Open Innovation. In: Carayannis, E.G. (eds) Encyclopedia of Creativity, Invention, Innovation...
  • Geldes, C., Felzensztein, C., & Palacios-Fenech, J. (2017). Technological and non-technological innovations, performance and propensity...
  • Geldes, C., Felzensztein, C., Turkina, E., & Durand, A. (2015). How does proximity affect interfirm marketing cooperation? A study of...
  • Geldes, C., Heredia, J., Felzensztein, C., & Mora, M. (2017). Proximity as determinant of business cooperation for technological and non-technological...
  • Hair, J. F., Hult, G. T., Ringle, C. M., Sarstedt, M., Castillo-Apraiz, J.,
  • Cepeda Carrion, G., & Roldán, J. L. (2019). Manual de partial least squares structural equation modeling (pls-sem). SAGE Publications.
  • Hair, J., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. (2014). Partial least squares structural equation modeling (PLS-SEM). European...
  • Hair, Joseph F, Hult, G. T. M., Ringle, C., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM)....
  • Hall, B., & Rosenberg, N. (2010). Introduction to handbook. In B. H. Hall, & N. Rosenberg (Eds.), The handbook of economics of innovation....
  • Henseler, J., Hubona, G. and Ray, P.A. (2016). "Using PLS path modeling in new technology research: updated guidelines,” Industrial Management...
  • Heredia, J., Flores, A., Geldes, C., & Heredia, W. (2017). Effects of informal competition on innovation performance: the case of pacific...
  • Heredia, J.A.; Geldes, C.; Kunc, M.H.; Flores, A (2019). New Approach to the Innovation Process in Emerging Economies : The Manufacturing...
  • Knoben, J., & Oerlemans, L. A. (2006). Proximity and inter‐organizational collaboration: A literature review. international Journal of...
  • Lazonick, W. (2006). The innovative firm. In J. Fegerberg, D. C. Mowery, & R. R. Nelson (Eds.), The Oxford handbook of innovation (pp....
  • Lee, S., Olson, D. and Trimi, S. (2012). Co‐innovation: convergenomics, collaboration, and co‐creation for organizational values. Management...
  • Lopes, J. M., Silveira, P., Farinha, L., Oliveira, M., & Oliveira, J. (2021). Analyzing the root of regional innovation performance in...
  • Marasco, A., De Martino, M., Magnotti, F., & Morvillo, A. (2018). Collaborative innovation in tourism and hospitality: A systematic review...
  • OECD/Eurostat (2005), Oslo Manual: Guidelines for Collecting and Interpreting Innovation Data, 3rd Edition, The Measurement of Scientific...
  • OECD/Eurostat (2018), Oslo Manual 2018: Guidelines for Collecting, Reporting and Using Data on Innovation, 4th Edition, The Measurement of...
  • OECD Publishing, Paris/Eurostat, Luxembourg, https://doi.org/10.1787/9789264304604-en.
  • Oh, D.-S.; Phillips, F.; Park, S.; Lee, E. (2016). Innovation Ecosystems: A Critical Examination. Technovation 2016, 54, 1–6.
  • Olavarrieta, S., & Villena, M. G. (2014). Innovation and business research in Latin America: An overview. Journal of Business Research,...
  • Ortiz Henriquez, R. E., Crespo, F. A., Geldes, C., Alves Ferreira, T., & Castillo-Vergara, M. (2023). Impact of R&D on the Innovation...
  • Parker, C., Scott, S., & Geddes, A. (2019). Snowball sampling. SAGE research methods foundations.
  • Porter, M. E. (1998). Clusters. Innovation, and Competitiveness: New Findings and Implications for Policy.
  • Ringle, C. M., Wende, S., & Becker, J. M. (2022). SmartPLS 4. Oststeinbek: SmartPLS. Retrieved April, 3, 2023.
  • Rowley, J., Bargemen, A., & Sam Brook, S. (2011). Towards an innovation-type mapping tool. Management Decision, 49(1), 73–86.
  • Rubalcaba, L., Aboal, D., & Garda, P. (2016). Service innovation in developing economies: evidence from Latin America and the Caribbean....
  • Shin, H., & Perdue, R. R. (2022). Hospitality and tourism service innovation: A bibliometric review and future research agenda. International...
  • Subsecretary of Tourism (2020). ANUARIO DE TURISMO 2019. Retrieved from http://www.subturismo.gob.cl/wp-content/uploads/2015/10/ANUARIO-TURISMO-2019_29092020.pdf
  • World Intellectual Property Organization (WIPO) (2022). Global Innovation Index 2022: What is the future of innovation-driven growth? Geneva:...
  • Xie, X., Liu, X., & Chen, J. (2023). A meta-analysis of the relationship between collaborative innovation and innovation performance:...