44 resultados para Knowledge Representation Formalisms and Methods
Resumo:
"Mode 3" allows and emphasizes the co-existence and co-evolution of different knowledge and innovation paradigms: the competitiveness and superiority of a knowledge system is highly determined by its adaptive capacity to combine and integrate different knowledge and innovation modes via co-evolution, co-specialization and coopetition [sic] of knowledge stock and flow dynamics. What results is an emerging fractal knowledge and innovation ecosystem, well-configured for the knowledge economy and society. The intrinsic litmus test of the capacity of such an ecosystem to survive and prosper in the context of continually glocalizing [sic] and intensifying competition represents the ultimate competitiveness benchmark with regards to the robustness and quality of the ecosystem's knowledge and innovation architecture and topology.
Resumo:
Most comparative studies of public policies for competitiveness focus on the links among public agencies and industrial sectors. This paper argues that the professions---or knowledge-bearing elites-that animate these organizational links are equally significant. For public policies to promote technological advance, the visions and self-images of knowledge-bearing elites are par ticularly important. By examining administrative and technical elites in France and Germany in the 1980s, the paper identifies characteristics that enable these elites to implement policy in some cases, but not in others. France's "state-created" elites were well-positioned to initiate and implement large technology projects, such as digitizing the telecommunications network. Germany's state-recognized elites were, by contrast, better positioned to facilitate framework oriented programs that aimed at the diffusion of new technologies throughout industry. The linkages among administrative and technical elites also explain why French policymakers had difficulty adapting policy to changing circumstances over time while German policymakers managed in many cases to learn more from previous policy experiences and to adapt subsequent initiatives accordingly.
Resumo:
In Kazakhstan doctoral students are not expected to make a contribution to knowledge, as is required at Western universities. Rather, their task is to become familiar with what is known and then make policy recommendations for Kazakhstan. For example, how can the human capital in Kazakhstan be improved? This is a very broad subject for a PhD dissertation. However, it does require a holistic perspective, and such dissertation topics may create an opportunity for systems scientists. When Russell Ackoff created the Social Systems Sciences PhD program at the Wharton School of the University of Pennsylvania, he had his students solve practical problems for business or government managers. That program graduated a large number of people who became consultants. A few became academics in several countries. The program created a philosophy and methods for holistic management. Large issues in developing countries may be a source of clients for systems scientists who want to further develop philosophy, theories and methods by working with large social systems.