Research On The Improving Information Communication Resilience In Innovation

The value of innovation arises from the communication of information within and outside the organization,and the full acquisition of information source and information flow are very important in the process of innovation.Vuori and Huy's research suggests that Nokia,which announced its exit from the mobile phone market in 2014,was due to poor information communication.Nokia's top executives' inability to get real information about market feedback in a timely manner led to their blind optimism and lack of innovation,which ultimately led to Nokia's failure in the smartphone market.In fact,Sears,Kodak,Xerox,the once-red-hot high-quality enterprises,in the face of market and technology changes,even if well-managed,determined to enhance competitiveness,listen carefully to customers,and actively invest in information technology research and development,there is still a high probability of encountering Waterloo.Further consideration of its causes reveals that either these companies ignore important external innovation information in the innovation process,rely too much on the wrong information demand provider,or interrupt the communication channel of information in the internal information communication without the manager knowing.So,how to maximize the risk of reducing the lack of access to information sources and the interruption of information flow within and outside the organization in innovation?The theoretical uncertainty of ontology has a great impact on the innovation process,but existing risk management tools and methods(e.g.COSO comprehensive risk management framework)emphasize risk identification,prevention,mitigation and monitoring,and in the context of innovation,the future market environment is difficult to match past experience.It is difficult for enterprises to obtain sufficient and complete information to know the probability and impact of the specific risks to innovation,so traditional risk management methods are not suitable for dealing with innovation risks.The latest view is that AMJ editor-in-chief Van Der proposes to use elasticity as a method of managing unpredictable risk,which merges with risk management theory,which recognizes that risk is inevitable,but its probability and influence are difficult to predict.Therefore,from the perspective of systemic vulnerability,it is considered that improving system resilience and rapid recovery under the impact of risk.Based on the above considerations,this paper integrates elasticity theory into innovation risk management,takes the vulnerability of information communication as the starting point,and constructs the innovative elastic model of the process of information communication within and outside the enterprise.On the one hand,for the acquisition of information sources,this paper first uses the Hopfield neural network method to identify and classify information sources,and secondly,to build a two-goal 0-1 planning model based on the mathematical expression of innovative elasticity of the above-mentioned process.Provides multiple options for information source to achieve the shortest recovery time to meet the information quality requirements for innovation risk management,and then completes the optimal management strategy to deal with the vulnerability of innovative information sources.On the other hand,in view of the elastic enhancement strategy of information flow,this paper completes the definition and analysis of network elasticity by calculating and analyzing the correspondence between the impact of different number of connection interruptions and the loss increment,and constructs the elastic optimization model based on this,and seeks the communication path of key information.Develop effective strategies to improve the ability of information distribution network to withstand risk shock.Finally,by applying the actual study of the enterprise to the above process for feasibility and validity verification,providing the appropriate innovative risk management strategy for the enterprise.The following conclusions are mainly drawn through the study:(1)In the absence of a source of information,an enterprise can ensure that the innovation process recovers quickly from the adverse effects of a single information source from the disruption provided by a single source of information,and the creation of the optimization model enables decision makers to select the most appropriate information source from the effective class in an interactive environment.The optimal choice of information source schemes with the shortest recovery time in order to meet the information quality demand is realized,which has a significant effect on improving the elasticity of innovative information sources.(2)In the event of the interruption of information flow,the elastic promotion strategy model based on the key path can significantly improve the ability of the information circulation network to resist the risk impact,however,due to the complexity of its network structure,the selection of the key path can not be directly determined by the ftunction value of the path.The information flow network elasticity enhancement strategy is analyzed by The Monte Carlo method to analyze the sensitivity of the number of interrupt paths,and if the robustness of the promotion strategy is good,the decision maker only needs a rough estimate of the path interruption to obtain the optimization strategy.There are two main innovations in this article:(1)Unlike the literature on innovation risk research in the past,this paper innovatively examines the response of information comnunication vulnerability to innovation risk from the two links of information source acquisition and information circulation,and discusses the effective strategies of improving innovation elasticity in each link on the basis of the overall management framework;(2)This paper introduces elasticity theory into traditional risk management,constructs the innovation elasticity optimization model,emphasizes the resilience and resilience of the fragile point of the system to the impact,and fundamentally weakens the influence of unknown uncertainty on innovation.At the same time,in the field of elastie risk management,more effective decision-making methods and optimization models are introduced,and the mathematical expression of the whole process of innovative information flow is completed,further reducing the adverse effects of subjective factors on innovative risk management decision-making.