Research On Relation Risk Management In Industry Collaboration Innovation Alliances

In 2014,Premier Li keqiang on the national technology award conference very clear pointed out that our country should inspire all kinds of innovation subjects to innovate,and construct the collaboration innovation mechanism in which industries are main bodies together with many other subjects.And in 2015,he in the government work report again pointed out that “ the masses create industries,the people innovate ” which on one hand could create golden calf for the people,on the other hand could encourage the people to pursue spirits.Collaboration innovation alliances are through contracts or stock rights to shape innovation network organizations,subjects in which cooperate by the rules and evolution to other orderly and new organizational ones.That is a kind of complicate self-organization systems,and has some characters such as complicated,dynamical those can be expected.In addition to these,it has other characters such as: trans-boundary of organization,networking,regional and even vitalized.Collaboration innovation is derived that resources owned by innovation subjects themselves is limited and relied on others' resources.So innovation subjects construct a power relation because of their resources' reliance.With more and more innovation subjects entering these alliances,the whole alliances can control more resources,the innovation ability is more and more powerful.But the diversify of resources taken into alliances is more,the relation among subjects is more complicate,it even affects the stability of innovation alliances.During the process of collaborating,innovation subjects with their inherent heterogeneous resources take part in alliances.It makes the uncertainty of the process of collaborating,causes innovation risks.Through extensively entering alliances,outer risks can be canceled,but inner risks that come from entering alliances can not be canceled,on the contrary,even probably can be amplified.Meanwhile,with the depth of “ the masses create industries,the people innovate ”,and “ share economics ”is coming,there are more and more innovation subjects entering alliances,and some others withdraw from alliances.This phenomenon must aggravate the relation risk level in innovation alliances.How to concretely recognize the relation risk among innovation alliances,and how to measure it and early predict it,and control it,all are urgently need to face.In view of these,the dissertation uses the relation risk in industry collaboration alliances as the research project.Based on some risk management in collaboration innovation and the outcome of some relation risk management in strategy alliances,respectively do some research on the identification,conduction road,evaluation,early predication and control of relation risk in industry collaboration innovation alliances.Above these,the research work and results in this dissertation are as follows:Firstly,the whole industry collaboration innovation alliance is a complex system.At present it includes subjects such as: universities,industries,mediate service departments,governments.The push strength for this complex system are: economic benefits,technology and service.The unstable relation in industry innovation alliances is pushing the whole complex system to upgrade.The essence of innovation relation is:(1)a kind of power-reliable relation based on resource reliance;(2)a kind of competitive and cooperative relation based on innovation benefits based on innovation benefits;(3)the“ you are me,I am you ” symbiosis relation based on self-organization complex systems.Secondly,Using interval number Decision Making Trials and Evaluation Laboratory(DEMATEL)to identify the factors of relation risk in industry innovation alliances.Through carding and classifying relation risk's factors in innovation alliances,experts score those factor according to their professional knowledge and abundant reality experiences use interval numbers.With the help of experts,the direct effecting matrix can be obtained.Then go through the empirical process,it shows that: the first five important factors are: the way of control,investing proprietary assets,the asymmetry of information,the contract risk,shared benefits among alliances.And the reason influential factors are: the differences among members,shared benefits,the quality of relationship,asymmetrical information,the ability of absorbing and learning,the scope of alliances.The result influential factors in the industry-university-research alliances are: the contract risks,the ways of control,the fairness of alliances and investing proprietary assets.Thirdly,from the point of characteristics of heterogeneous subjects in industry collaboration innovation alliances,try to find out the conduction road of the relation risk.Combining the theory of heterogeneity and the reality of collaboration innovation,here use the factors-analysis to classify the characteristics into three categories: complement characteristics,balance characteristics,exclusion characteristics.Using SEM and three methods which are all used to test intermediate function: Confection multiplying,Bootstrap,MacKinnon.it shows that there is total intermediate function between the characteristics and relation risk.The detail are: Power Asymmetry is the intermediate variable between complement characteristics and relation risk;Trust and Information Share both are the double-intermediate variable between balance characteristics and relation risk,and between exclusion characteristics and relation risk.It also shows that complement characteristics cannot enhance trust among innovation subjects and information sharing also cannot reduce conflicts of benefits.Fourthly,based on the conclusions of Chapter4 and evaluates relation risk in innovation alliances by the extensible matter-element method.Through the matter-element method and experts' value points,the classical matter-element model and the value range of the risk factor can be obtained.According to the correlation function in Extenics,the distance from the assessment points to the classical matter-element area can be calculated,and the distances from the assessment points to the value range of the risk factor.The distances named the proximity degree,based on which,the correlation function and the variables relation matrix can be gotten.Then combining with the weight vector based on the makeshift theory,the lever of relation risk can be achieved.During the process of evaluating,Comparing the comprehensive relation risk lever and single index relation risk level in the innovation alliance.It shows that they are different: the former is higher than the latter.Also comparing the comprehensive relation risk level and the three-type heterogeneity characteristics based on Chapter 5,and comparing the comprehensive relation risk level and the two-type heterogeneity characteristics based on the heterogeneity theory.It shows that the conclusion based on the three-type is close to the comprehensive relation risk level.Fifthly,try to construct the relation risk early predication model for industry innovation alliances,and for governments.this dissertation chooses panel data from 30 provinces in China 2010-2014 as empirical data.Then explores the relation between the possibility of all level of relation risk and the coordination degree and others factors such as technology expenditure,education expenditure,finance expenditure.It can make a conclusion that one kind of ordered logistic regression model can be used as early predicting model in innovation alliances.This model uses the coordination degree as the independent variance,and the relation risk level in innovation alliances is the dependent variance in this model.Governments can use this model and the local industry coordination degree to make early predication.The last,gathering above conclusions and the characteristics of the present economic society,on the micro side innovation subjects can from three facets to cut down the intermediate between innovation subjects' heterogeneity and relation risk:(1)optimizing the power-reliability relation through the core subjects existing different innovation alliances;(2)enhancing the level of trust from statue trust,knowledge trust,management processing trust;(3)To construct the platform to share credit information connected with collaboration innovation subjects.The core innovation subject should be the leader to construct the credit information platform,and the technology immediate department can support the leader.Government should put together all kind of innovation alliances credit information to conform the whole area credit information sharing platform.All information platform should show out the common and the differences.The macro side,try to adjust the push strength in industry innovation alliances to control relation risk.The push strength should come from innovation push to technology to economic push which includes three layers instead of only economic push and technology push.So it can reduce interest conflicts among micro innovation subjects and make relation risk under the scope where it does not has side-effect on innovation alliances.In summary,the thinking way of this dissertation is based on the theory of collaboration innovation,the theory of strategy alliances and the theory of risk management.And this dissertation systematically research the process of relation risk management in industry collaboration alliances.That is beneficial to the practices and makes the collaboration innovation management more plentiful,even explores the scene of risk management application.There still are some unreasonable points which will be my future research.