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作 者:姚志臻 荣国阳 黄晓明 张斌 马费成[2] Yao Zhizhen;Rong Guoyang;Huang Xiaoming;Zhang Bin;Ma Feicheng(School of Journalism and Communication,Wuhan University,Wuhan 430072;Center for Studies of Information Resources,Wuhan University,Wuhan 430072;College of Business,City University of Hong Kong,Hong Kong 999077,China;Department of Mathematics,National University of Singapore,Singapore 119076;School of Business,Sun Yat-sen University,Guangzhou 510275;School of Information Management,Nanjing University,Nanjing 210023)
机构地区:[1]武汉大学新闻与传播学院,武汉430072 [2]武汉大学信息资源研究中心,武汉430072 [3]香港城市大学商学院,中国香港999077 [4]新加坡国立大学数学系,新加坡119076 [5]中山大学管理学院,广州510275 [6]南京大学信息管理学院,南京210023
出 处:《情报学报》2025年第2期171-184,共14页Journal of the China Society for Scientific and Technical Information
基 金:国家自然科学基金面上项目“基于注意力机制的学术信息动态推荐研究”(72074109),“隐私政策视角下企业数据合规与风险管理研究”(72474101)。
摘 要:复杂工作的顺利完成往往取决于合作解决问题的能力,科学合作使科学团队能够解决单个研究者或单一学科无法解决的复杂问题,从而在推动科技创新方面表现出更强的潜力。以往研究主要从静态结构或网络视角描述团队成员之间的合作关系,没有强调如何动态协调以解决团队绩效提升的问题。本研究通过对科学基金团队科学合作过程进行动态演化建模,直观分析了团队依赖关系和协调机制,并进一步探索基金团队科学合作流程对项目绩效的差异性提升效果。本研究提出了一种基于图挖掘和序列挖掘的科学合作流程模式挖掘方法,分析并提炼了最佳团队科学合作流程模式。研究结果表明,大部分科学合作流程模式对项目绩效的提升具有积极的正向影响。其中,以知识拓展模式开始并以知识增强模式结束,是科学基金团队执行项目过程中最高效的合作流程模式;若团队在项目执行期间,以知识开辟作为整体发展策略,或以知识开辟作为优先策略,而在发展中后期依赖内部知识增强,则不利于项目绩效提升。相关研究结论对项目申请人领导开展科学合作具有重大的实践意义和指导作用,可以为优化团队形成、改善协作环境、促进协作行为与评估项目绩效提供有针对性的建议和新的实现思路。The success of complex projects often depends on the ability to collaborate and solve problems.Scientific collaboration enables science teams to solve complex problems that individual researchers or disciplines cannot address,thereby demonstrating stronger potential for technological innovation.Previous studies have identified collaboration patterns from a static structural or network perspective without emphasizing how to dynamically coordinate to improve team perfor‐mance.In this study,dynamic evolutionary modeling of the scientific collaboration process was conducted to intuitively an‐alyze a teams dependency relationships and coordination mechanisms as well as the different improvement effects of the scientific collaboration process on project performance.A scientific collaboration process pattern mining approach based on graph and sequence mining was developed,and the optimal team collaboration process pattern was identified.The con‐clusions follow:1)most scientific collaboration process patterns have a positive impact on project performance;2)the most efficient collaboration process pattern begins with knowledge expansion and ends with knowledge enhancement;and 3)conversely,when a team adopts knowledge expansion as its overall development strategy or as a priority during project execution and relies on internal knowledge enhancement in the middle and later stages of development,it is not conducive to enhancing project performance.These findings have significant practical value and provide guidance for project appli‐cants,leading to scientific cooperation.They can provide targeted suggestions and new implementation ideas for optimiz‐ing team formation,improving collaborative environments,promoting collaborative behaviors,and evaluating project per‐formance.
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