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| The Impact of Government Intervention and Organizational Heterogeneity Interaction on Cooperative Innovation Performance |
| Chen Guanju,Dong Jinjin,Wang Ke |
| (School of Economics and Management, Northwest University, Xi'an 710127, China) |
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Abstract Existing research lacks an investigation on the non-enterprise innovation entities and other heterogeneous organizations participating in the cooperative innovation process and the mechanism of action.In order to explore how heterogeneous subjects, including the government, can achieve cooperative innovation through inter-organizational interaction and enhance the effect of government intervention in cooperative innovation.Based on the heterogeneity theory, this paper studies how the government intervention in innovation network affects the relationship between organizational heterogeneity and innovation performance.SPSS25.0 and Process3.3 were used to analyze the data.The results show that: cultural heterogeneity, decision-making power heterogeneity and objective heterogeneity all have significant positive effects on cooperative innovation performance; government intervention positively moderates the relationship between cultural heterogeneity and cooperative innovation performance, but doesn't moderate the relationship between decision-making power heterogeneity, objective heterogeneity and cooperative innovation performance; organizational interaction mediates organizational heterogeneity and cooperative innovation performance.The results reveal the existence of the positive moderating role of government intervention to the path of "organizational heterogeneity- organizational interaction-cooperative innovation performance", using different dimensions of organizational interaction as intermediary variables, the moderating effects of government intervention are different at each phases.The research shows that government intervention is not always effective.The research reveals the relationship between organizational heterogeneity and cooperative innovation performance, and puts forward management implications based on the conclusions.
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Received: 29 December 2020
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