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Study On Enterprises Collaborative Innovation In Network Alliance Base On Dynamic Modeling

Posted on:2014-02-16Degree:DoctorType:Dissertation
Country:ChinaCandidate:H Y ShenFull Text:PDF
GTID:1229330398486746Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
The network extended enterprise refers to a dynamic organization formed by some independent enterprises and units with different core competences through information and network technologies featuring interdependence, mutual trust and cooperation with a view to securing the quickest response to the market opportunities with the minimum investment and gaining the largest competitive advantage and maximum profit. Given that enterprises of the extended enterprise are independent economic entities, each participating enterprise is required to improve economic benefits of its own while raising the overall operating efficiency of the extended enterprise through cooperative innovation. In this sense, how to choose partners and innovation tasks, how to distribute innovation income and how to input innovation resources of the extended enterprise have become crucial challenges for participating enterprises to secure successful and efficient cooperative innovation. However, the existing research findings have hardly involved the specific cooperative behaviors and behavioral changes of the enterprises while the environment, attitude of decision-makers and innovation income are uncertain. This paper, bases on different organizations and structures, features of innovation resources and network extended enterprises, abilities and behavioral characteristics of cooperative enterprises, and in the light of its core vision of "construction-development-stability-development", aims to examine the behavioral strategy of cooperative innovation of the extended enterprise with a view to providing a theoretical basis for various organizations engaging in cooperative innovation.First, it discusses the application and significance of prospect theory and cumulative prospect theory in the partner selection model of the extended enterprise under uncertain environment, establishes prospect theory framework for partner selection of the extended enterprise and analyzes the attitudes of different decision-makes under different situations, regarding innovation cooperation risks as an uncertain factor in partner selection. In addition, it provides a rational interpretation on some decision behaviors of managers by establishing, from the perspective of resource access, a model for decision-makers to make selection from many fungible strategic partners with potential risks.Second, based on prospect theory in psychology and taking as an example value chains for mobile businesses, this paper studies selection differences in network extended enterprise’s decision making for innovation tasks by comparing it with expectation effect theory. Moreover, it, from the perspective of subjective risk preference, expounds on the role of prospect theory in decision making and analyzes the influence of various control variables on decision-makers. It simulates different decision-making environments and schemes by changing the external environmental constrains to judge the relation between the bounded rationality of the prospect-theory-based decision-maker and various internal and external factors.Third, it establishes a channel decision model for content provider with loss aversion, studies the influence of the degree of loss aversion on decision-making variables and objective function, and examines the content provider’s decision on the overall input in optimal capital construction. On the one hand, it finds out that optimal input changes with the increase of loss aversion. On the other hand, it compares and analyzes the optimal channel decision of the content provider while the content distribution network (as the intermediate) adopts two different pricing policies based on quantity discount and revenue sharing and makes a summary on loss aversion’s influence on channel decision as well as the relation between parameters of the model and decision variables and objective function.Next, it, game theory is used to analyzes the adoption of income distribution mechanism of the extended enterprise’ cooperative innovation, studies decision making of individual enterprise on resource input under various resource conditions in their independent innovation and cooperative innovation. Moreover, it calculates the expected utility value of the enterprise under different resource environment by introducing the effect of learning form each other. In addition, it discovers that the adoption of income distribution is influenced by resource innovation weight, that extended enterprises with advantageous resources of lower innovation weight are more inclined to adopt the income distribution mechanism based on input resource cost risks while extended enterprises with advantageous resources of higher innovation weight prefer to the input resource contribution-rate-oriented income distribution mechanism. Therefore, the network extended enterprise will make a rational selection on a rational income distribution mechanism instead of an optimal one.Finally, the paper, pointing out that innovation income of the extended enterprise and its input resource constitute a relation featuring check and balance, establishes a model of cooperative innovation income and a model of innovation resource input for participating enterprises. What’s more, by changing resource minimum yield, the degree of innovation risks and enterprise’s loss aversion, the paper studies the decision behaviors in resource input of enterprises with different characteristics under the two income distribution mechanisms. It comes to the conclusion that in the light of the two resource input-based income mechanisms, the enterprise, in order to maximize its profit, its input intention will decrease with the increase of risks and behave differently with the change of the size of weights of their advantageous resources in innovation resources.
Keywords/Search Tags:Alliance partner, Collaborative innovation, Innovation resource, Revenue distribution, Prospect Theory, Cumulative Prospect Theory
PDF Full Text Request
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