The Correlation Analysis Of Synergy Motivation And Behavior In Network Perspective On Task Complexity

In a competitive environment against the background of an increasingly complex, the rapid expansion of world markets, the acceleration of scientific and technological upgrading and product cycles have been gradually reduced more and more people's attention. Facing the fact of the deepened the task complexity, the enterprises have gradually realized that it was not possible for a single company owns the entire necessary resources and capacity in the produced chain. Meanwhile, it is impossible of making the "imitation" with the advent of knowledge economy and the rapid development of science arid technology, making technology and accelerates product innovation cycle, life cycles. Therefore, based on task complexity and time pressure, the members of different abilities decides to cooperate in order to achieve the common products and services, finally, to respond to market changes and process changes.In this paper, in the distinctive perspective of the task complexity, the author analyzed the link between motivation and coordination in the members of the network based on the all tasks is complex and the premise. This research breakthrough in the existing framework, from a specific angle to cut into, and using empirical research to test their theoretical model to explore the synergistic relationship between motivation and behavior. Through the literature of the synergy in the members of network and sum up a lot of the English and Chinese literature, it is given the system summary of task complexity. The author explores the path of the motivation and behavior between the members in the network and gives a theoretical model. Namely, the depth of the internal mechanism of coordination networks is given. Finally, the empirical analysis method is used to test the theoretical model. First, the author selects variables using the factor analysis. Second, the relationship between motivation and behavior is verified in the Logit model. And the following conclusions:To face the challenges of new markets, network members more inclined to cooperate; For the manufacturing sector, sharing of resources is the main purpose of synergy behavior; In our country, the effect of band to the synergy behavior is no obvious among the members in the network; The market share of the synergy motive, especially for the relatively mature markets, reversely effects on the synergy behavior.Finally, the conclusion of this article is given in the sixth part. At the same time, there are many inadequate in the course of the study because of limited knowledge. Meanwhile, the author gives the prospects for the future research.