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Analysis on the knowledge transfer in regional innovation network game

Author: DanYingJie From: www.yourpaper.net Posted: 2010-07-05 00:35:15 Read:

Abstract: regional learning and innovation ability is the key factor of the regional economic development, learning and innovation main body of regional innovation network between the knowledge transfer ability is the key of regional innovation and learning ability.But because of the existence of principal-agent relationship between the innovation main body, adverse selection and moral hazard problems in the process of knowledge transfer.To suppress the knowledge capital function in certain degree.This paper constructs the game model, analyzes the innovation main body in the innovation network elements of the knowledge transfer conditions.And based on this, puts forward some feasible suggestions.
Keywords: the regional innovation network; learning region; principal-agent relationship; knowledge transfer
Nowadays the development of world economy has entered the era of knowledge economy and show the regional characteristics.Learning regional innovation network refers to a geographical region, under the guidance of the government, regional innovation subjects such as enterprise, University, scientific research institutions, intermediary service organizations and the government to establish a network of mutual trust, interactive learning through the network, the formation of a regional innovation system based on learning, to improve the regional innovation through regional learning ability, promote the development of regional economy, and eventually form an effective regional innovation network has a competitive advantage.Therefore, the learning region is a kind of regional innovation network based on learning.
The dynamic structure of
, learning regional innovation network
Innovation of the main elements of learning regional innovation network in the region a strong enterprise, University, scientific research institutes, intermediary service institutions, and the regional governments.All the actors in the network by learning from each other, communication is simple to build relationships, with the accelerated increase, the participation main body of knowledge flows, in strengthening the regional interaction and international background, premise and strengthening regional innovation environment of the main behavior of regional main supporting role, to improve the regional innovation capacity and the formation of innovation efficiency as the goal, dynamic network structure with open boundary, complete elements, high efficiency, regionalization in certain geographical.Dynamic structure as shown in Figure 1 of the learning region innovation network.

In a specific network system, mechanism of complex formation between universities, research institutes, enterprises, government, intermediary institutions.Among colleges and universities, research institutes is the study of the system of regional science, is the knowledge production network; enterprise is the main body of regional technical innovation, is the application of the network knowledge; catalyst function of intermediary service institutions as regional innovation resources in the process of regional innovation, knowledge dissemination network; government agencies is the macro-control of regional innovation.In the process of regional innovation, the actors are not isolated, they are in the same network platform, is a network platform, through interaction, collective learning and the formation of a complex innovation network.Between each subject network through formal and informal long-term cooperation and exchanges, forming a network of relationships to enhance regional innovation capability for the purpose of, relatively stable based on interactive learning.Between learning region inside the main innovation, through various networks constitute a learning system based on regional innovation.
two, learning subject of regional innovation network knowledge transfer type asked commissioned - agent relationship
Learning regional innovation network knowledge transfer ability is one of the key elements to measure regional learning ability and innovation ability.Knowledge transfer is a mobile object of knowledge from a knowledge of the subject to another body of knowledge.The transfer of knowledge into explicit knowledge and tacit knowledge, explicit knowledge can be encoded, easy to express and transfer of knowledge and the tacit knowledge is not to be encoded, difficult to express and transfer knowledge.Explicit knowledge about knowledge, 20% of the total, is the knowledge of the tip of the iceberg, tacit knowledge is the main content of knowledge.Knowledge transfer is a world without end of the spiral rising upward move in circles of knowledge transfer in this process, the total knowledge capital to expand the knowledge capital function can be improved, the core competence of the corporation to be formed and grow.In learning regional innovation network has three layers: the first layer of knowledge transfer in knowledge transfer between enterprises is a regional innovation subjects of interactive learning process, which includes the interaction between individual learning and interaction mode of enterprise and enterprise.Second levels of knowledge transfer is to provide the knowledge flow of technological knowledge and information support to enterprises in the region through regional intermediary service institutions, University and scientific research institution.Third levels of knowledge transfer is a kind of regional network learning to peripheral areas within the core network knowledge flow, where the local government plays the role of bonds, local government is mainly responsible for the regional innovation network formation and coordination of activities to development process as well as the specific business activity.Complement each other and cohesion are the three levels of knowledge transfer, constitute the regional innovation network based on learning.
In the process of knowledge transfer within the region the main elements in the principal-agent relationship.The transferor has private information knowledge (tacit knowledge and explicit knowledge), consumption of certain costs in the knowledge transfer activities (monopoly utility loss brought about by sharing knowledge transferor energy, time and conversion costs and knowledge), knowledge to give a certain degree of compensation.Knowledge to have no private information, access to certain interests in knowledge transfer activities (knowledge transfer value), interest compensation in a soft constraint conditions requires knowledge of the transferee to certain extent to ensure that knowledge transfer.In the process of knowledge transfer and knowledge transfer, the adverse selection and moral risk behavior is widespread, so we must design a contract (or system) to encourage and restrain the knowledge transferor, to select the most favorable to action of knowledge.The process of knowledge transfer is a process of both sides for a supply of sth., namely the game process, can achieve a mutually satisfactory results, to achieve Nash equilibrium of the game. "".
three, game model of knowledge transfer
In learning regional innovation network, knowledge transfer occurs in a plurality of innovation subject, for the sake of simplicity, we assume that the two innovation in enterprises and research institutions are subject to ask.The participants viewed as rational economic man assumption that people are selfish in the analysis process, and in the face of more than two kinds of choices will always choose to maximize the more beneficial to their scheme to realize its expected benefits.In the knowledge transfer game model, research institutes and enterprises have respectively four species selection strategy: integrity and honesty does not cooperate, not sincere cooperation and integrity are not not cooperative, as shown in table 1.

In the model R said research institutions expected return, is an exogenous variable, scientific research institutions and enterprises that do not know; a brings both dishonest behavior of the loss of income; n said many times in the game, the game process transactions subject to several times, each time not good faith cooperation will increase the value of the psychological expectations, an is increasing; C said the two sides knowledge transfer cost, if the enterprises and schools do not trust each other, both are selfish behavior, is that there is no any cooperation, knowledge transfer is not, at this time the two sides payment is 0; T said the two sides gains good faith cooperation at.
Set up scientific research institutions and enterprises game strategies are respectively x, Y,:

If the enterprise is represented by Q probability uncooperative, probability of cooperation for 1-Q given Q value, scientific research institutions to choose good faith cooperation and non - good faith cooperation expected returns were:

In fact, type (5) on the left side of said research institutions cooperate in good faith when the expected return, right said non integrity when the expected benefits.Therefore, Y mixed strategies taken by enterprises in the Nash equilibrium, must make scientific research institution in good faith cooperation or not good faith cooperation choice because of the expected return and the same show indifferent attitude.Solution of
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