Abstract
The increasing complexity and dynamism of contemporary technology places great demands on the effectiveness and adaptability of R&D systems. Among the problems which receive intensive attention in the current policy discussions are the appropriate organizational forms for generic R&D and the optimum methods for the internal and external interfacing of various aspects of technological and scientific activity. At the practical level, attempts are made to solve these problems by experimenting with novel ways of organizing and supporting R&D (research parks, joint industry-university research centres, technology development programmes, etc.). At the analytical level there is a renewed interest in the relationships between science, technology and economy (see, e. g., chapter 1). As the record of scholary debates indicates we are still far from a concensus on what constitutes the appropriate general model for the analysis of those relationships. Various diametrically opposed approaches are being tried out.
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Stankiewicz, R. (1992). Technology as an Autonomous Socio-Cognitive System. In: Grupp, H. (eds) Dynamics of Science-Based Innovation. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-86467-4_2
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DOI: https://doi.org/10.1007/978-3-642-86467-4_2
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