大数据背景下智库情报的服务创新——基于协同理论视角

Research on Intelligence Service Innovation of Think Tank in the Context of Big Data——From the Perspective of Collaborative Theory

[目的 /意义]针对大数据时代对智库发展带来的冲击与挑战,构建适应现代智库运行的情报服务体系,能够提升智库的情报服务水平,同时为我国智库的整体发展提供一定指引。[方法/过程]本文基于协同理论视角,在大数据背景下通过对传统用户需求分析、数据处理方法、服务模式和智库主体这4个方面的分析,认为现代智库的服务运作应协同现代科学技术、创新服务模式。[结果 /结论]本文最后构建了基于协同理论的智库情报创新服务体系,智库通过此服务体系不仅可以更好地满足用户日益增长的需求,而且能够形成一种用户和智库监督互利的关系,从而促进我国智库的整体发展。

[Purpose/Significance]The impact and challenge of the development of the great data age,which is to build up the intelligence service system of the modern think tank,to improve the level of intelligence service in the tank,and to provide a guide to the overall development of our nation s think tank.[Method/Process]Based on the perspective of synergetic theory,this article analyzed the four aspects of traditional user needs analysis,data processing methods,service models,and think tanks in the context of big data,and concluded that modern think tank service operations should be coordinated with modern science and technology and innovative service models.[Result/Conclusion]Finally,this paper constructed a service innovation service system for think tanks based on synergy theory.Through this service system,think tanks could not only meet the growing needs of users,but also form a relationship between users and think tanks to monitor mutual benefit,and this would promote the overall development of our think tanks.