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高校科研创新团队成员知识创新的激励机制研究 被引量:43

Knowledge Innovation Incentive Study on University Scientific Research Innovation Team Members
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摘要 结合高校科研创新团队经费支持和科研管理的实践,系统研究了高校科研创新团队成员知识创新的激励机制。通过模型分析发现,团队成员知识创新的内在动机(成果的未来收益)应该成为知识创新激励机制设计的核心,团队的经费支持应该成为机制设计的补充措施。采用动态分析的视角将高校科研创新团队成员知识创新的动机分为声誉建立和声誉获利两个阶段。在声誉建立阶段,团队成员对知识创新成果未来收益进行预期而选择相应的努力水平,而声誉获利阶段是成果收益的实现阶段,同时又对未来的知识创新提供了新的预期。最后,结合当前中国科研资助的实践,提出"当期资助与未来奖励"并存的知识创新激励机制,以强化知识创新的内在动机。 This paper discusses the knowledge innovation incentive mechanism of university scientific research inno- vation team members, basing on the practice of university scientific research innovation teams' funding support and scientific research management. The modeling analysis tells us that the intrinsic motivation of team members knowledge innovation, which is the future benefits of team members' knowledge innovation outputs, should be the focus of knowledge innovation incentive mechanism design, while teams' funding support, the extrinsic motivation, should play the supplement roles in the knowledge innovation incentive mechanism design. The motivations of team members' knowledge innovation comprise of two stages of reputation establishment and reputation profit. In the reputation establishment stage, the team members choose their effort levels according to the knowledge innova- tion outputs' future benefits, and the reputation profit stage is realizing the knowledge innovation outputs' benefits, which then forms the new expectation to the forthcoming knowledge innovation. At last the 'present funding sup- port and future rewarding' mechanism is presented for encouraging knowledge innovations of team members to en- force the knowledge innovation intrinsic motivations, and take a scientific research funding example in china to support the idea.
出处 《科学学与科学技术管理》 CSSCI 北大核心 2013年第3期89-99,共11页 Science of Science and Management of S.& T.
基金 国家自然科学基金项目"中国重点大学核心能力提升过程中知识整合的系统研究"(70873027) 国家社会科学基金项目"基于社会网络知识图谱的高校科研创新团队内部的知识整合研究"(12CTQ029) 黑龙江省教育厅人文社会科学面上项目"高校科研创新团队建设研究"(11552220)
关键词 科研创新团队 知识创新 科研政策 激励机制 scientific research innovation team knowledge innovation scientific research policy incentive mecha-nism
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