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FDV, Osrednja družboslovna knjižnica J. Goričarja, Ljubljana (ODKLJ)
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  • Determinants of success in science - industry cooperation : case of Slovenia
    Bučar, Maja, 1957- ; Rojec, Matija, 1953-
    Science-industry cooperation, i.e. cooperation between universities and government or public research institutes (public research organisations - PROs), on one side, and firms, on the other, has ... attracted considerable attention in the literature as well as in the policy discussions. Slovenia as a small country has been trying to promote such cooperation in its S&T policy since the nineties, with limited success. The paper looks at the policy instruments, designed to stimulate cooperation with the aim to assess their impact. It describes main instruments, their intervention logic and evaluations at the instrument level as well as at the level of R&D data. Also, through three detailed case studies of identified cooperation cases the paper looks at the motivation behind cooperation, to identify problems and obstacles on the side of business entity and the side of research institution. Based on the relevant theoretical considerations and existing empirical evidence we tested the hypotheses that frequency and extent of science industry cooperation depends on: (i) the extent and nature of firms% in-house R&D and innovation activity, which also determine their absorption capacity, (ii) the existence of quality research and scientific productivity in PROs, (iii) critical mass of knowledge in specific areas of expertise, (iv) on motivation of researchers, (v) the development of a portfolio of intermediary institutions and their quality, and on (vi) the adequacy of national policy and institutional framework, supporting science industry cooperation. The interviews with relevant stakeholders reflected quite a pessimistic view of science-industry cooperation in Slovenia in general. The impact of the R&D support measures and instruments was found as non-significant, primarily because of frequent changes of instruments and excessive bureaucracy. Stability in the innovation policy, in the evaluation criteria as well as in the support measures is what makes the framework more supportive to the risky undertakings like science-industry cooperation. Instead of copypaste measures from advanced countries, Slovenia, as well as other small, innovation less-developed countries, needs to assess their own specifics and design measures in accordance with characteristics of their national innovation system
    Vrsta gradiva - prispevek na konferenci
    Leto - 2019
    Jezik - angleški
    COBISS.SI-ID - 29684995