Análisis comparativo de la red de flujos de conocimiento e información tecnológica en dos regiones líderes en el cultivo de camarón en México
Resumen
El presente estudio tiene por objetivo “reconstruir” y comparar las redes de flujo de conocimiento e información tecnológica (RFCIT) en la industria acuícola, específicamente en el cultivo de camarón, de dos de las principales regiones productoras de camarón de cultivo en México: el municipio de Ahome, ubicado al norte del Estado de Sinaloa, y la región costera centro-sur del estado de Sonora. La investigación se basa en el enfoque del análisis de redes sociales y la información fue obtenida mediante la aplicación de una encuesta a una muestra de 91 empresas dedicadas al cultivo de camarón en las regiones mencionadas. Las conclusiones del estudio señalan que las características y la configuración de las RFCIT de la acuicultura de Sinaloa le han permitido a esta entidad tener una ventaja de competitividad frente a Sonora, para paliar los efectos de la crisis de los últimos años.
Descargas
Referencias bibliográficas
Get persistent links for your reference list or bibliography.
Copy and paste the list, we’ll match with our metadata and return the links.
Members may also deposit reference lists here too.
Ahuja, G. (2000) Collaboration networks, structural holes, and innovation: a longitudinal study. Administrative Science Quarterly, 4, pp. 425-455.
https://doi.org/10.2307/2667105
Bonacich P.F. (1987). Power and centrality: A family of measures, Amer. J. Sociol., 92 (1987), pp. 1170-1182.
https://doi.org/10.1086/228631
Booher, D. E., & Innes, J. E. (2002) Network power in collaborative planning. Journal of planning education and research, 21(3), 221-236.
https://doi.org/10.1177/0739456X0202100301
Borgatti, S., A. Mehra, D. Brass & Labianca, G. (2009) Network analysis in the social sciences. Science CCCXXIII (5916): 892-895.
https://doi.org/10.1126/science.1165821
Borgatti, S., Everett, M. & Freeman, L. (2002) Ucinet for Windows: Software for social network analysis. Analytic Technologies.
Brand M, E. G. (2006). Estructura de relaciones interorganizacionales. Análisis de Redes Sociales Comuna seis de Medellín Proceso: Mapeo de relaciones interorganizaciones comunitarias. (Centro de Estudios de Opinión, Ed.). Medellín: Universidad de Antioquia.
Caloghirou, Y., Kastelli, I. & Tsakanikas, A. (2004) Internal capabilities and external knowledge sources: complements or substitutes for innovative performance? Technovation, 24, 29-39
https://doi.org/10.1016/S0166-4972(02)00051-2
D'costa, A.P. (2002) Export growth and path-dependence: the locking-in of innovations in the software industry. Science Technology & Society 7(1), 51-89.
https://doi.org/10.1177/097172180200700104
Freeman, L. C. 1979. Centrality in social networks: Conceptual clarification. Social Networks, 1(3), 215-239
https://doi.org/10.1016/0378-8733(78)90021-7
Frenzen, J. & Nakamoto K. (1993), "Structure, Cooperation, and the Flow of Market Information," Journal of Consumer Research, 20 (December), 360-75.
https://doi.org/10.1086/209355
Fritsch, M. & Kauffeld-Monz, M. (2010) The impact of network structure on knowledge transfer: an application of social network analysis in the context of regional innovation networks", The Annals of Regional Science, Vol. 44, No. 1, pp. 21-38.
https://doi.org/10.1007/s00168-008-0245-8
Gomes, C. & Kruglianskas, I. (2009) Management of external sources of technological information and innovation performance, Int. J. Innovation and Technology Management, 6, No. 2, pp.207-226.
https://doi.org/10.1142/S0219877009001649
Granovetter, M. (1973) The strength of weak ties. American Journal of Sociology, 78, p.1360-1380
https://doi.org/10.1086/225469
Gutiérrez V. & León-Balderrama J. (2015) Redes de transferencia de conocimiento y su impacto en la innovación. En: Bracamonte Sierra y León Balderrama. Redes Regionales de Conocimiento e Innovación. CIAD y Colegio de Sonora; Hermosillo, México
Hambrick D, Cho T. & Chen M. (1996). The influence of top management team heterogeneity on firms' competitive moves. Administrative Science Quarterly 41: 659-684.
https://doi.org/10.2307/2393871
Hanneman, R.A. & Riddle M. (2005) Introduction to social network methods. Riverside, CA: University of California, Riverside
Hansen, M. (1999) The search transfer problem: The role of weak ties in sharing knowledge across organization subunits. Administrative Science Quarterly, 44, pp. 82-111.
https://doi.org/10.2307/2667032
Herminia, I. (1993) Network centrality, power, and innovation involvement: determinants of technical and administrative roles, Academy of Management Journal, 36(3), 471-502
https://doi.org/10.2307/256589
Kline, S.J. & Rosenberg, N. (1986) An Overview of Innovation. En: R. Landau and N. Rosenberg (eds) The Positive Sum Strategy: Harnessing Technology for Economic Growth, Washington D.C. National Academy Press, pp. 275-304
Knoke, D. & Yang S.(2008). Social Network Analysis. Los Angeles: Sage
https://doi.org/10.4135/9781412985864
Laursen, K. & Salter, A. (2006) Open for innovation: the role of openness in explaining innovation performance among UK manufacturing firms. Strategic Management Journal, 27(2), 131-150.
https://doi.org/10.1002/smj.507
Liu, J. & Chaminade, C. (2010) Dynamics of a technological innovator network and its impact on technological performance. Innovation, 12(1), 53-74.
https://doi.org/10.5172/impp.12.1.53
Lundvall, B.Å. (1992) User-producer relationships, national systems of innovation and internalization. En B.- Å. Lundvall National systems of innovation. Towards a theory of innovation and interactive learning. London, Pinter, pp. 45-67
Marsden, P. & Campbell K.(1984), "Measuring Tie Strength," Social Forces, 63 (December), 482-501.
https://doi.org/10.2307/2579058
McCarthy, B. (2008) The evolution and transformation of networks: a study of private health insurance in Ireland, Irish Journal of Management, 29(1), 87-113.
Moreno, J. L. (1951) Sociometry, Experimental Method and Science of Society. Beacon, NY: Beacon House
Narula, R. (2002) Innovation systems and 'inertia' in R&D location: Norwegian firms and the role of systemic lock-in. Research Policy 31(5), 795-816.
https://doi.org/10.1016/S0048-7333(01)00148-2
Nooteboom, B. (2004) Inter-firm collaboration, learning and networks. An integrated approach. London, Routledge.
https://doi.org/10.4324/9780203392102
Pelled L, Eisenhardt K. & Xin K. (1999) Exploring the black box: an analysis of work group diversity, conflict, and performance. Administrative Science Quarterly 44: 1-28.
https://doi.org/10.2307/2667029
Pietrobelli, C. y R. Rabellotti (2009) Innovation systems and global value chains In: B.-A. Lundvall, K. Joseph, C. Chaminade and J. Vang Handbook of innovation systems and developing countries. Cheltenham, Edward Elgar
Powell, W., Koput, K. & Smith-Doerr, L. (1996) Interorganizational collaboration and the locus of innovation: Networks of learning in biotechnology. Administrative Science Quarterly, 41(1):116-145.
https://doi.org/10.2307/2393988
Reagans, R. & McEvily, B. (2003) Network Structure and Knowledge Transfer: The Effects of Cohesion and Range. Administrative Science Quarterly 48:240-67.
https://doi.org/10.2307/3556658
Rodan S. & Galunic C. (2004). More than network structure: how knowledge heterogeneity influences managerial performance and innovativeness. Strategic Management Journal 25(6): 541-562.
https://doi.org/10.1002/smj.398
Sabatier, P. & Jenkins-Smith, H., Eds. (1993) Policy change and learning: an advocacy coalition approach. Boulder, CO, Westview Press
Scott, J. (2000) Social network analysis. A handbook, London, Sage.
Urban G. & Von Hippel E. (1988). Lead user analysis for development of new industrial products. Management Science 34(5): 569-582
https://doi.org/10.1287/mnsc.34.5.569
Uzzi, Brian (1996), "The Sources and Consequences of Embed- dedness for the Economic Performance of Organizations: The Network Effect," American Sociological Review, 61 (August), 674-98.
https://doi.org/10.2307/2096399
Wasserman, S. & Faust, K. (1994) Social network analysis. Cambridge, UK: Cambridge University Press.