Qinwei Cao, Qiaoyu Meng, Can Wang, Jing Wang, Wanchun Duan
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引用次数: 0
Abstract
To resolve the dilemma among a shortage of high-end talents, low level of scientific research and a huge brain drain in western universities in China, we proposes a way out by building an intelligence-alliance innovation team—a new interregional and multiagent cooperation mode. We identify major disagreements that hamper a fruitful collaboration, and then analyze reasons of such poor coordination. Given diversified backgrounds and different preferences of intelligence-alliance innovation teams, we suggest multiagent group decision-making as a method of seeking task coordination for participants in conflict and their problem-solvers. Finally, a specific case is given to prove that this method can improve task coordination of intelligence-alliance innovation teams, and that holistic feedback coordination may be the best scheme of task coordination for intelligence-alliance innovation teams.
期刊介绍:
The Journal of Regional Science (JRS) publishes original analytical research at the intersection of economics and quantitative geography. Since 1958, the JRS has published leading contributions to urban and regional thought including rigorous methodological contributions and seminal theoretical pieces. The JRS is one of the most highly cited journals in urban and regional research, planning, geography, and the environment. The JRS publishes work that advances our understanding of the geographic dimensions of urban and regional economies, human settlements, and policies related to cities and regions.