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Collaboration with External Organizations and Technological Innovations: Evidence from Spanish Manufacturing Firms

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  • Dragana Radicic

    (Department of Accountancy, Finance and Economics, University of Lincoln, Lincoln LN5 7AT, UK)

  • Jonathan Pinto

    (Management Department, Imperial College London, London SW7 2AZ, UK)

Abstract

Based on the two knowledge dimensions of availability and accessibility, this study investigates the influence of cooperation with external organizations on technological, product, and process innovations. Using longitudinal data from Spanish manufacturing firms, we estimate dynamic random-effects probit models and thus take into account that technological innovations exhibit persistent behavior. We find that cooperation with suppliers and universities is positively associated with both product and process innovations. However, sectoral analysis according to technological intensity reveals that cooperation with suppliers increases the propensity to technological innovation in industries with a higher degree of technological intensity, while cooperation with universities increases the likelihood of innovation in industries with a lower degree of technological intensity. Moreover, empirical results indicate a high degree of true or genuine state dependence in both types of innovations. Based on these findings, we discuss the theoretical, managerial, and policy implications of the study.

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  • Dragana Radicic & Jonathan Pinto, 2019. "Collaboration with External Organizations and Technological Innovations: Evidence from Spanish Manufacturing Firms," Sustainability, MDPI, vol. 11(9), pages 1-31, April.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:9:p:2479-:d:226461
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    Cited by:

    1. Chang Lu & Bo Yu, 2020. "The Effect of Formal and Informal External Collaboration on Innovation Performance of SMEs: Evidence from China," Sustainability, MDPI, vol. 12(22), pages 1-21, November.
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    3. Enrique Acebo & José-Ángel Miguel-Dávila & Mariano Nieto, 2021. "The Impact of University–Industry Relationships on Firms’ Performance: A Meta-Regression Analysis," Science and Public Policy, Oxford University Press, vol. 48(2), pages 276-293.

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