| The arrival of the "New Normal" era of big data,cloud computing and China's economy has brought about significant changes in the production and business environment of enterprises.While providing technical support for open innovation,it also brings future technology-market Uncertainty has increased and the policy environment has changed significantly.Changes in the internal and external environment will inevitably require companies to respond by adapting to their innovative strategies.The competitive advantage of the pioneers in continuous innovation requires that the innovation process must be sufficiently efficient-flexibility(integration level)to respond in advance cannot be fully determined.The innovative product portfolio.Then,how to effectively integrate the product development process to meet the current product portfolio and the future uncertainty of the product portfolio development task needs,not only is the enterprise to optimize the innovation process design needs to solve the key issues,but also to promote the upgrading of China's industrial structure,enhance the stability of economic development the only way to go.This research is based on the decision framework of integrated utility-integration cost to explore the process integration decision-making for the uncertainty product portfolio.First of all,we clarified the role of environmental uncertainty-innovation product portfolio feature distribution-innovation process integration.Secondly,based on the analysis of innovation process integration analysis framework based on efficiency-flexibility requirements,we analyzed the integration of innovation process and compound utility.Theoretically,the variable dimension included in cost theory.Third,the theory of expected uncertainty utility and the subjective state space construction theory are introduced,and a functional decision model of integrated utility-integration cost is constructed;then,the model analysis and application are applied to the relationship between endogenous and exogenous variables.The discussion of the value puts forward the future research direction.The main findings are as follows:(1)Environmental uncertainty affects the overall-local feature distribution of innovative product portfolios.The proportion of local structure of the current cross-section product portfolio and the overall innovation scale are subject to continuous uncertainty in the objective driving of environmental uncertainty,whether it is the integrated driving role of environmental uncertainty or the driving role of specific dimensions.It is believed that the scope of change in the overall scale of exploitative-explorative innovation products in the product portfolio at the future will increase with the increase of environmental uncertainty,and the range of the proportion of the number of partial structures of exploitative-exploration innovation products will change.The increase in environmental uncertainty will then decrease.(2)The cross-timing characteristics of the innovative product portfolio influence the degree of integration(level)of the innovation process.1)Overall perspectives:On the one hand,the innovation characteristics of the product to be developed and the external environment(environmental uncertainty and policy environment)act together in the choice of integration degree(level)of the innovation process,and the cross-section characteristics of the product portfolio will heighten the development efficiency.The overall needs of the product;on the other hand,the timing characteristics of the product mix have a higher demand for the flexibility of conversion between time points.2)Specific perspectives:At present(future)moments,the specific characteristics of the product portfolio are essentially homogenous to the integration process of innovation process-flexible demand,and the use of innovative products has a strong dependence on efficiency,and exploration-based innovation Product features have a strong dependence on flexibility.(3)Efficiency-Flexibility demand influences the integrated utility of cross-sequence product portfolio-integration costs.Firstly,the constraint relationship between integration level and efficiency-flexibility:higher integration level maps higher efficiency,while lower integration level maps higher flexibility;efficiency There is a nonlinear constraint relationship between binary inverse conflict and flexibility.Secondly,the impact of efficiency-flexibility on cross-sequence-timed innovation process integration of compound utility:high efficiency has a positive effect on the utilization of product development and the integration of the current moment,while high flexibility on the development of exploration products and the momentary integration utility has a positive promotion effect in the future.Third,the impact of the efficiency-flexibility requirement on the composite cost of cross-sequence-timed innovation process:high efficiency has a negative inhibitory effect on the current integration costs,and high flexibility has a negative inhibitory effect on the integration costs in the future.(4)The influence of exogenous,endogenous and endogenous variables in the integration process of innovation process.Firstly,the influence of the individual characteristics of the decision maker(degree of uncertainty perception and attitude of uncertainty)on the integration decision variables:1)The influence of decision makers' perception of uncertainty on the degree of integration(level)is positively correlated,and the future moment The impact of product mix innovation scale is negatively correlated,and the impact on the quantitative proportion of product mix structure in the future is positively correlated;2)The influence of attitudes of decision makers on uncertainty on integration degree is positively correlated,and the scale of product mix innovation for future time,the impact was positively correlated and negatively related to the impact of the number of product mixes in the future.Secondly,The impact of the company's dynamic capabilities on the degree of integration is positively correlated,positively related to the impact of future product portfolio innovation scale,and the number of product mix structures in the future.The effect of the proportion is negatively correlated.Third,the impact of industrial policies on the degree of integration is an inverted U-shaped relationship,and the inverted U-shaped relationship of future product portfolio innovation scales,and the product portfolio for future moments.The ratio of the number of structures presents a U-shaped relationship.Fourth,the influence relationship between endogenous variables:In the future,the scale of innovation of the product portfolio has a negative correlation with the degree of integration.In the future,the relationship between the proportion of the product mix of the product mix and the degree of integration will be positively correlated.In the future,the proportion of the product mix of the product mix has a positive correlation with the scale of innovation.The paper is based on the expected uncertain utility theory and subjective state space,this dissertation constructs an innovative process integration decision model for efficiency-flexible demand integration dynamic mechanism and measurement scheme,which not only optimizes companies in the context of environmental uncertainties-the future does not At the same time,the point of innovation process and the degree of matching integration(level)and product portfolio choices provide a decision framework,but also provides a feasible path and practical inspiration for the design of policy promotion programs in the process of corporate innovation in the context of the transitional period in order to help the Chinese enterprises improve and integrate the innovation process. |
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