Transferability of cognitive products

For the heterogeneous networks of cooperation to work, the transfer of activities must meet a basic principle: that of transferability. In other words, not merely a component of the network delivers component products following the division of labor flow. It requires the same time; the product can be delivered over as a basis to further processing. Transferability is a quality product to be created cognitive so much that it can be retrieved and processed on the next "link." For example, education professionals must make the necessary profiles various companies who will use them. Often, however, numerous professional profiles are prepared by some universities as they would be suitable employers.

In this case, we can appeal to an intermediate transfer: organizations that complement the "processing" of a product in order to make it usable directly by an employer. The previously mentioned case, appealing to companies that prepare specialists for the profile required by employers (operators' skills banks, mediators in negotiating relationships, chief of staff in public services, etc.). Transfer intermediaries appear in the product of a research institute such as laboratories, business incubators, "business angels" that assume the risk of investment in research, scientific or industrial parks, etc. Heterogeneous networks of cooperation bring changes in the nature of economy.

Research component of economy

There are different stages of relationships between economy and science (research) specific to modernity. In the early emergence of modern science (XVII)[1] they did not have a direct influence on the processes of material production. It is known that the industrial revolution (1750-1790) was made without the benefit of using science. Science began to contribute to the development of industry in the second half of the 19th century.

Today, the economy is an essential component of science (research). Heterogeneous networks of cooperation bring science in the "heart" of economy. Economies not only "scientize" (a process carried out in the 20th century), but runs more and more, directly connected with science. Research and its results are beginning to increasingly contribute to the achievement of GDP. Resulting competitive advantages, especially in research - innovation and training people. We do not have only, "an economy based on science," or an economy driven by science, but a science economy, an economy of production and exploitation of knowledge. In countries with economies in transition, production and use of software, patents, licenses, are an important part in achieving growth in GDP. Industry itself is going to restructure, focusing on more and more to "products - intensive - cognitive" in terms of both services and goods.

The new economy will have a different socio-professional structure. The 'traditional' economies have most of employment concentrated in the sectors of material production, and most of this population consists of people practicing most execution jobs. The mechanization (classic Taylorism), as well as automation (new taylorism) makes man a servant of the machine, transferring to machine the human ability and qualifications. The transition to the knowledge driven economy and its focus on creation, dissemination and use of knowledge opens the possibility of changes in socio-professional structure of societies. What is essential to retain in this issue is how to achieve these changes. The process is not such linear determinations, which generates necessary cause effects.

The new cognitive resources are owned by actors, their use depends also on the decisions of other actors. Analysis of resource "knowledge" means, in fact, an institutional approach to decision making. Global networks, involve on the one hand, a simplify decision making, but on the other hand, an increase in its complexity. Here, why, in this matter, we ought to learn some aspects of the decision making process of cooperation in heterogeneous networks. Cooperation networks make professions education, research and innovation to become predominant. Heterogeneous networks of cooperation have been characterized as "network science - technology," because the problems which is the objective for network is precisely the type of problem solving knowledge and technology. Present study will deal, therefore, the analysis of problem solving activities - training knowledge in this field into a side of their main activity.

  • [1] I. Newton's work, "Principles of nature philosophy," appeared in 1687.
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