El acceso a canales de información y la adopción de tecnologías de proceso

  1. Gómez Villascuerna, Jaime 1
  2. Salazar Terreros, Idana 1
  3. Vargas Montoya, Pilar 1
  1. 1 Universidad de La Rioja
    info

    Universidad de La Rioja

    Logroño, España

    ROR https://ror.org/0553yr311

Journal:
Cuadernos de economía y dirección de la empresa

ISSN: 1138-5758

Year of publication: 2012

Volume: 15

Issue: 4

Pages: 169-180

Type: Article

DOI: 10.1016/J.CEDE.2012.04.003 DIALNET GOOGLE SCHOLAR

More publications in: Cuadernos de economía y dirección de la empresa

Abstract

The literature on diffusion has shown that, for some firms, the adoption of a technology can take place many years after the beginning of the diffusion process, or it can even never take place. Our objective in this paper is to provide evidence that firm�s different access to information conditions the probability of technology adoption. We identify two mechanisms through which a given firm could obtain information on the existence and profitability of the technology: foreign activities and collaboration agreements. Our findings have implications for the study of technology diffusion and for the explanation of differences in firm�s resource endowments

Bibliographic References

  • Abrahamson, E., Rosenkopf, L., 1997. Social network effects on the extent of innovation diffusion: a computer simulation. Organization Science 8 (3), 289-309.
  • Abrahamson, E., Rosenkopf, L., 1999. Modeling reputational and informational influences in threshold models of bandwagon innovation diffusion. Computational and Mathematical Organization Theory 5 (4), 361-384.
  • Astebro, T., 2002. Noncapital investment costs and the adoption of CAD and CNC in US metalworking industries. Rand Journal of Economics 33 (4), 672-688.
  • Baptista, R., 1999. The diffusion of process innovations: a selective review. International Journal of the Economics of Business 6, 107-129.
  • Baptista, R., 2000. Do innovations diffuse faster within geographical clusters? International Journal of Industrial Organisation 18, 515-535.
  • Bartel, A., Ichniowski, C., Shaw, K., 2007. How does information technology affect productivity? Plant-level comparisons of product innovation process improvement and worker skills. The Quarterly Journal of Economics 122 (4), 1721-1758.
  • Bass, F., 1969. A new product growth model for consumer durables. Management Science 15, 215-227.
  • Bayo-Moriones, A., Lera-López, F., 2007. A firm-level analysis of determinants of ICT in Spain. Technovation 27, 352-366.
  • Bayona, C., García, T., Huerta, E., 2003. ¿Cooperar en I+D? Con quién y para quién. Revista de Economía Aplicada 31, 103-134.
  • Belderbos, R., Carree, M., Diederen, B., Lokshin, B., Veugelers, R., 2004. Heterogeneity in R&D cooperation strategies. International Journal of Industrial Organization 22, 1237-1263.
  • Bharadwaj, A., Bharadwaj, S., Konsynski, B., 1999. Information technology effects on firm performance as measured by Tobin's Q. Management Science 45 (6), 1008-1024.
  • Blalock, G., Gertler, P., 2004. Learning from exporting revisited in a less developed setting. Journal of Development Economics 75, 397-416.
  • Borensztein, E., Gregorio, J., Lee, J., 1998. How does foreign direct investment affect economic growth. Journal of International Economics 45, 115-135.
  • Brass, D., Galaskiewicz, J., Greve, H., Tsai, W., 2004. Taking stock of networks and organizations: a multilevel perspective. Academy of Management Journal 47, 795-817.
  • Brynjolfsson, E., Hitt, L., 2000. Beyond computation: information technology, organizational transformation and business performance. Journal of Economic Perspectives 14 (4), 23-48.
  • Canepa, A., Stoneman, P., 2005. Financing constraints in the inter firm diffusion of new process technologies. The Journal of Technology Transfer, Springer 30 (2-2), 159-169.
  • Cappellari, L., Jenkins, S.P., 2003. Multivariate probit regression using simulated maximum likelihood. The Stata Journal 3 (3), 278-294.
  • Carr, N.G., 2003. IT doesn'i{dotless}t matter. Harvard Business Review 81 (5), 41-49.
  • Chen, L., 2009. Learning through informal local and global linkages: the case of Taiwan's machine tool industry. Research Policy 38, 527-535.
  • Chung, S.A., Kim, G.M., 2003. Performance effects of partnership between manufacturers and suppliers for new product development. Research Policy 32, 587-603.
  • Clemons, E.K., Kimbrough, S., 1986. Information systems, telecommunications, and their effect on industrial organization. En: Proceedings of the 7th International Conference on Information Systems, San Diego, CA.
  • Coe, D.T., Helpman, E., 1995. International R&D spillovers. European Economic Review 39, 859-887.
  • Coe, D.T., Helpman, E., Hoffmeister, A.W., 1997. North-South R&D spillovers. Economic Journal 107, 134-149.
  • Cohen, W.M., Levinthal, D.A., 1990. Absorptive capacity: a new perspective on learning and innovation. Administrative Science Quarterly 35, 128-152.
  • Comin, D., Hobijn, B., 2004. Cross-country technology adoption: making the theories face the facts. Journal of Monetary Economics 51, 39-83.
  • Davies, S., 1979. The diffusion of process innovations. Cambridge University Press.
  • Fariñas, J.C., Jaumandreu, J., 1994. La Encuesta sobre Estrategias Empresariales: características y usos. Economía Industrial 299, 109-119.
  • Fariñas, J.C., Jaumandreu, J., 1999. Diez años de Encuesta sobre Estrategias Empresariales. Economía Industrial 329, 29-42.
  • Fosfuri, A., Motta, M., Ronde, T., 2001. Foreign direct investment and spillovers through workers' mobility. Journal of International Economics 53, 205-222.
  • Fosfuri, A., Tribó, J., 2008. Exploring the determinants of potential absorptive capacity and its impact on innovation performance. Omega 36 (2), 173-187.
  • Fudenberg, D., Tirole, J., 1985. Pre-emption and rent equalization in the adoption of new technology. Review of Economic Studies 52, 383-401.
  • Geroski, P.A., 2000. Models of technology diffusion. Research Policy 29, 603-625.
  • Gibbons, M., Limoges, C., Nowotny, H., Schwartzman, S., Scott, P., Trow, M., 1994. The new Production of Knowledge: The Dynamics of Science and Research in Contemporary Societies. Sage Publications, London.
  • Globerman, S., 1979. Foreign direct investment and spillover efficiency benefits in Canadian manufacturing industries. Canadian Journal of Economics 12, 42-56.
  • Gómez, J., Vargas, P., 2009. The effect of financial constraints, absorptive capacity and complementarities on the adoption of multiple process technologies. Research Policy 38, 106-119.
  • Greve, H.R., 2009. Bigger and safer: the diffusion of competitive advantage. Strategic Management Journal 30, 1-23.
  • Griffith, R., Harrison, R., Van Reenen, J., 2006. How special is the special relationship? Using the impact of U. S. Spillovers on U. K. firms as a test of technology sourcing. The American Economic Review 96 (5), 1859-1875.
  • Grossman, G.M., Helpman, E., 1991. Innovation and Growth in the Global Economy. MIT Press, Cambridge MA.
  • Gulati, R., 1995. Social structure and alliance formation patterns: a longitudinal analysis. Administrative Science Quarterly 40, 619-652.
  • Gulati, R., 1999. Network location and learning: the influence of network resources and firm capabilities on alliance formation. Strategic Management Journal 20, 397-420.
  • Hamel, G., Doz, Y., Prahalad, C.K., 1989. Collaborate with yours competitors and win. Harvard Business Review 67, 190-196.
  • Hejazi, W., Safarian, A.E., 1999. Trade, foreign direct investment, and R&D spillovers. Journal of International Business Studies 30, 491-511.
  • Helpman, E., 1997. R&D and productivity: the international connection. Working Paper No. 6101. Cambridge, MA: NBER.
  • Jimenez-Barrionuevo, M.M., García-Morales, V.J., Molina, L.M., 2011. Validation of an instrument to measure absorptive capacity. Technovation 31, 190-202.
  • Jiménez, J., Polo, Y., 2001. Key variables in the EDI adoption by retail firms. Technovation 21, 385-394.
  • Karshenas, M., Stoneman, P., 1993. Rank, stock, order, and epidemic effects in the diffusion of new process technologies: an empirical model. Rand Journal of Economics 24 (4), 503-528.
  • Karshenas, M., Stoneman, P., 1995. Technological diffusion. En: Stoneman, P. (Ed.), Handbook of the Economics of Innovation and New Technology. Blackwell.
  • Keller, W., 2004. International technology diffusion. Journal of Economic Literature 42, 752-782.
  • Levin, S.G., Levin, S.L., Meisel, J.B., 1987. A dynamic analysis of the adoption of a new technology, the case of optical scanners. The Review of Economics and Statistics 69 (1), 12-17.
  • Luque, A., 2002. An option value approach to technology adoption in U.S. manufacturing: Evidence from microdata. Economics of Innovation and New Technology 11 (6), 543-568.
  • Mahajan, V., Peterson, R.A., 1985. Models for Innovation Diffusion. Paper Series on Quantitative Applications in the Social Sciences. Sage Publications.
  • Mansfield, E., 1961. Technical change and the rate of imitation. Econometrica 29 (4), 741-766.
  • Mansfield, E., 1968. Industrial Research and Technological Innovation. Norton, New York.
  • Mansfield, E., Romeo, A., 1980. Technology transfer to overseas subsidiaries by USbased firms. The Quarterly Journal of Economics 94, 863-873.
  • Merino, F., Salas, V., 1995. Empresa extranjera y manufactura española: efectos directos e indirectos. Revista de Economía Aplicada 9, 105-131.
  • Merino, F., Salas, V., 1996. Diferencias de eficiencia entre empresas nacionales y extranjeras en el sector manufacturero. Papeles de Economía Española 66, 191-207.
  • Milgrom, P., Roberts, J., 1990. The economics of modern manufacturing: technology, strategy and organization. The American Economic Review 80 (3), 511-528.
  • Molero, J., Buesa, M., 1996. Patterns of technological change among Spanish innovative firms: The case of the Madrid region. Research Policy 25, 647-663.
  • Nelson, R., Phelps, E., 1966. Investment in humans, technological diffusion, and economic growth. American Economic Review 56 (1/2), 65-75.
  • Nieto, M.J., Santamaría, L., 2007. The importance of diverse collaborative networks for the novelty of product innovation. Technovation 27 (6-7), 367-377.
  • Park, S., Russo, M., 1996. When competition eclipses cooperation: an event history analysis of joint venture failure. Management Science 42, 875-890.
  • Rao, H., Greve, H.R., Davis, G., 2001. Fool's gold: social proof in the initiation and abandonment of coverage by Wall Street analysts. Administrative Science Quaterly 46 (3), 502-526.
  • Reinganum, J.F., 1981. Market structure and the diffusion of new technology. The Bell Journal of Economics 12 (2), 618-624.
  • Robertson, T.S., Gatignon, H., 1986. Competitive effects on technology diffusion. The Journal of Marketing 50 (3), 1-12.
  • Rogers, E.M., Shoemaker, F.F., 1971. Communication and innovation: a cross-cultural approach. The Free Press, New York.
  • Romeo, A.A., 1975. Interindustry and interfirm differences in the rate of diffusion of an innovation. Review of Economics and Statistics 5 (3), 311-319.
  • Romeo, A.A., 1977. The rate of imitation of a capital-embodied process innovation. Economica 44, 63-69.
  • Rothwell, R., 1994. Issues in user-producer relations in the innovation process: the role of government. International Journal of Technology Management 9, 629-649.
  • Sánchez, R., 1995. Strategic flexibility in product competition. Strategic Management Journal 16, 135-159.
  • Sánchez, R., Mahoney, J., 1996. Modularity, flexibility, and knowledge management in product and organization design. Strategic Management Journal 17, 63-76.
  • Santamaría, L., Rialp, J., 2007. La elección del socio en las colaboraciones tecnológicas: un análisis empírico. Cuadernos de Economía y Dirección de la Empresa 31, 67-96.
  • Sorenson, O., Rivkin, J.W., Fleming, L., 2006. Complexity, networks and knowledge flow. Research Policy 35, 994-1017.
  • Spencer, J.W., 2003. Firm's knowledge-sharing strategies in the global innovation system: empirical evidence from the flat panel display industry. Strategic Management Journal 24, 217-233.
  • Stoneman, P., Diederen, P., 1994. Technology diffusion and public policy. The Economic Journal 104, 918-930.
  • Surroca, J., Santamaría, L., 2007. La cooperación tecnológica como determinante de los resultados empresariales. Cuadernos de Economía y Dirección de la Empresa 33, 31-62.
  • Swanson, E.B., 1994. Information systems innovation among organizations. Management Science 40 (9), 1069-1090.
  • Tether, B.S., 2002. Who co-operates for innovation, and why. An empirical analysis. Research Policy 31, 947-967.
  • Teece, D.J., 1977. Technology transfer by multinational firms: the resource cost of transferring technological know-how. The Economic Journal 87 (346), 242-261.
  • Teece, D., 1986. Profiting from technological innovation: implications for integration, collaboration, licensing and public policy. Research Policy 15, 285-305.
  • Tiessen, J.H., Wright, R.W., Turner, I., 2001. A model of e-commerce use by internationalizing SMEs. Journal of International Management 7, 211-233.
  • Tsai, K.-H., Wang, J.C., 2009. External technology sourcing and innovation performance in LMT sectors: an analysis based on the Taiwanese technological innovation survey. Research Policy 38, 518-526.
  • Van Pottelsberghe de la Potterie, B., Lichtenberg, F., 2001. Does foreign direct investment transfer technology across borders? Review of Economics and Statistics 83, 490-497.
  • Vega-Jurado, J., Gutiérrez-Gracia, A., Fernández-de-Lucio, I., 2009. Does external knowledge sourcing matter for innovation? Evidence from the Spanish manufacturing firms. Industrial and Corporate Change 18 (4), 637-670.
  • Whitley, R., 2002. Developing competences: the role of institutional frameworks. Industrial and Corporate Change 11 (3), 497-528.
  • Zahra, S.A., George, G., 2002. Absorptive capacity: A review, reconcepualisation, and extension. Academy of Management Review 27 (2), 185-203.
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