Configuration Effect of University-Industry Collaboration Driving Academic Performance Improvement of Researchers Among Universities Based on the Motivational-Behavior Matching Perspective
Under the constraint of limited resources,how to effectively balance the time and energy between scientific and commercial activities is the core issue of the management of university-industry collaboration.Based on the individual level of university-industry collaboration subjects,this paper takes 360 researchers from university as samples and uses fuzzy set qualitative comparative analysis method to analyze the configuration effects of six antecedent conditions on academic performance from the perspective of motivation-behavior matching of university-industry collaboration.The findings are as follows:(1)The 10 adaptation configurations that generate high academic performance can be summarized into four core patterns:learning driven-family matching type,learning driven-mutual affection type,mission driven-family matching type and funding driven-mutual affection type;(2)From the dimension of academic productivity,the core driving models are:learning driven-family matching type,learning driven-mutual affection type and mission driven-family matching type. In the latter two models,researchers need to invest a lot of resources in university-industry collaboration;(3) From the dimension of academic influence,the core driving models are:learning driven-mutual affection type,mission driven-family matching type and funding driven-mutual affection type. Researchers with funding motivation are more likely to promote the improvement of academic influence without a large amount of resource input;(4) A comparative analysis shows that it is easier for researchers to enhance academic productivity when they are driven by learning motivation or mission motivation to invest high resources in the process of university-industry collaboration with "family matching". In addition,it is easier for researchers who are driven by learning motivation or funding motivation to carry out university-industry collaboration with "mutual affection" to enhance academic influence without a large amount of input of university-industry collaborative resources.
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