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      The scientometrics of a Triple Helix of university-industry-government relations (Introduction to the topical issue)

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      Scientometrics
      Springer Science and Business Media LLC

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          Most cited references56

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          An Evolutionary Theory of Economic Change

          This book contains the most sustained and serious attack on mainstream, neoclassical economics in more than forty years. Nelson and Winter focus their critique on the basic question of how firms and industries change overtime. They marshal significant objections to the fundamental neoclassical assumptions of profit maximization and market equilibrium, which they find ineffective in the analysis of technological innovation and the dynamics of competition among firms. To replace these assumptions, they borrow from biology the concept of natural selection to construct a precise and detailed evolutionary theory of business behavior. They grant that films are motivated by profit and engage in search for ways of improving profits, but they do not consider them to be profit maximizing. Likewise, they emphasize the tendency for the more profitable firms to drive the less profitable ones out of business, but they do not focus their analysis on hypothetical states of industry equilibrium. The results of their new paradigm and analytical framework are impressive. Not only have they been able to develop more coherent and powerful models of competitive firm dynamics under conditions of growth and technological change, but their approach is compatible with findings in psychology and other social sciences. Finally, their work has important implications for welfare economics and for government policy toward industry.
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            The dynamics of innovation: from National Systems and “Mode 2” to a Triple Helix of university–industry–government relations

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              Sectoral patterns of technical change: Towards a taxonomy and a theory

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                Author and article information

                Journal
                Scientometrics
                Scientometrics
                Springer Science and Business Media LLC
                0138-9130
                1588-2861
                February 2007
                February 2007
                : 70
                : 2
                : 207-222
                Article
                10.1007/s11192-007-0200-y
                f0ab557b-0334-49ba-861a-3e27d424b423
                © 2007

                http://www.springer.com/tdm

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