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The task coordination method of intelligence‐alliance innovation team of universities in Western China

Bibliographic Data

ID21353036
AuthorsQinwei Cao (0000-0002-9936-4167, School of Management Wuhan University of Technology Wuhan China), Qiaoyu Meng (0009-0002-6981-0733, Economics and Management School Wuhan University Wuhan China), Can Wang (0000-0003-3759-3543, Economics and Management School Wuhan University Wuhan China, corresponding author), Jing Wang (0000-0002-7594-8539, Economics and Management School Wuhan University Wuhan China), Wanchun Duan (0000-0003-1106-8791, School of Economics and Management Lijiang Culture and Tourism College Lijiang China)
Year2023
Volume63
Issue2
Pages503-524
Publication date2023-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Regional Science (JOURNAL)
Journal identifiersISSN: 0022-4146 • E-ISSN: 1467-9787
PublisherWiley (PUBLISHER • GB)
DOI10.1111/jors.12630
OpenAlexW4308590407
LanguageEN
References cited65

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

Alliance · Business · China · Dilemma · Economic shortage · Economics · Knowledge management · Management · Political science · Task (project management) · Cognitive Science and Mapping · Computer Science · Evolutionary Game Theory and Cooperation · Team Dynamics and Performance

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