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    第七届南湖国际青年学者论坛(第8场)

    发布时间:2022-05-27作者: 浏览次数:

    时间:2022531日(星期二)16:30-18:30

    会议号:腾讯会议153 140 359

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    报告人1:程16:30-17:10

    题目:高校科研团队识别和评价研究

    Research on the Identification and Evaluation of Scientific Research Team

    摘要21世纪以来,以科研团队为对象的团队科学研究为一个新的跨学科研究领域,该领域强调通过实证研究分析各类科研团队、研究中心和研究所的科研过程,探索提高团队效能的方法。国外团队科学研究已经形成了系统的研究方向并表现出鲜明的研究特色。其中研究内容聚焦在团队组成、团队培训、团队组织支持等六个方面,研究特征表现在成员多样化、高深知识汇集等七个方面。尽管国内强调科研团队的重要性,但已有研究局限于科研团队识别、评价和绩效影响因素等方面的零散探索。

            本研究分析已有高校科研团队识别和评价的基础上基于科研论文的相关信息开发团队识别算法,根据社会网络分析理论将识别的团队分为项目型、个体型、复合型和骨干型。识别高校科研团队的基础上,研究进一步运用智力资本理论,基于团队视角和产出视角构建科研团队评价指标体系,探索影响高校科研团队绩效的因素,发现团队规模、学科多样性和本地合作对科研绩效的提高呈现出负面影响,而核心成员影响力、研究凸显度和团队联系程度能够有效提高科研团队的绩效。国内外案例的比较分析结果表明,国内顶尖科研团队呈现出集中式的柔性科层网络特征,国外顶尖科研团队呈现出分散式的松散合作网络特征,国内科研团队领导在身份上体现出更多的行政色彩,而国外科研团队领导在身份上体现出更多的学术色彩。

    Since the 21st century, team science has emerged and developed into a new interdisciplinary research field, emphasizing the analysis of scientific research teams, research centers, and research institutes through empirical research, aiming to improve team effectiveness. Team science research has formed a systematic research direction, focusing on six aspects such as team composition, team organizational support, and showing seven characteristics such as high diversity of membership, and deep knowledge integration. Despite the emphasis on the importance of scientific research teams in China, the existing research is still limited to the exploration of the identification, evaluation, and influencing factors of scientific research teams. After analyzing the main limitations of the research about team identification, our research developed a scientific algorithm to realize the scientific research team identification and classifies the team into four types. After identifying the members, our research further develop and construct an evaluation index system based on the theory of intellectual capital, and measure the important factors affecting the performance of the scientific research team. Results show that the size of the team, discipline diversity, and local cooperation hurt the scientific research performance, while the influence of core members, the level of research topic prominence, and the degree of team connection can effectively improve the performance. The study further compares the characteristics of high-level scientific research teams in China and Singapore. It is found that the characteristics of China’s team show a centralized flexible bureaucracy network, and the characteristics of Singapore’s team show a decentralized loose cooperation network. The leader of the scientific research team in China has more administrative color in the identity, while the leader in the foreign country shows more academic color.


    报告人2李丹17:10-17:50

    题目:关系智能在员工团队实践中的使用效果:基于国内私营企业中的应用

    Effectiveness of the Use of Relationship Intelligence in Employees’ Team-based Practice: An Application for the Private Sector in China

    摘要:本研究的目的是考察在国内员工的团队实践中发展和应用关系智能(Relationship Intelligence)的有效性,以清楚地了解关系智能在国内的团队生产力中发挥的作用。作为一种情绪智能(Emotional Intelligence)能力,关系智能关注团队关系,在团队建设中至关重要,但与更广泛的情绪智能研究相比,关系智能受到的关注较少,尤其是很少有在国内私营企业环境下的关系智能和团队实践的关系研究。为此,我们进行了探索性的定性研究,以情绪智能理论为框架,以投入-过程-产出(Input-Process-Output)的标准来显示团体的有效性。数据收集是在利用SDI 2.0作为学习工具建立团队的关系智能后,对私营企业的管理人员和工作人员进行半结构化访谈。研究结果确定了关系智能整合对团队实践产生积极影响的三种方式:更高的总体团队表现,积极的工作氛围,以及对同事和工作相关任务的态度的改善。这一积极的结果为研究者和实践者提供了关于如何利用关系智能来提高团队整体生产力的实际意义和宝贵信息。

    The purpose of this research is to examine the effectiveness of developing and applying relationship intelligence in Chinese employees’ team-based practice to provide a clear understanding of the role relationship intelligence plays in team productivity in China. As an emotional intelligence ability, relationship intelligence, which focuses on interpersonal interactions and is crucial in team building, has received less attention than the broader topic of emotional intelligence. There is little research on relationship intelligence, especially its application in team practice within the Chinese private sector. Exploratory qualitative research was undertaken, with the theory of emotional intelligence as the theoretical framework and the input-process-output criteria indicating group effectiveness. Data collection was based on semi-structured interviews with managers and staff of the private sector after utilizing SDI 2.0 as a leaning tool to build team relationship intelligence. The findings identified three ways in which the integration of relationship intelligence positively affected team practice: high overall performance, a positive work climate, and improved attitudes toward coworkers and work-related tasks. The positive outcomes provide researchers and practitioners practical implication and valuable information on how relationship intelligence might be leveraged to enhance overall team productivity.


    报告人3: 李凤林17:50-18:30

    题目:韩国产学研合作先导大学工程实施新趋向研究

    Research on the new trend of engineering implementation in Leaders in Industry-university Cooperation in South Korea

    摘要:韩国产学研合作先导大学工程实施的最新趋向体现为:对标未来产业,构建产业需求人才培养体系;促进产业变革,培育创造高附加值创业大学;强化合作基础,实现产学研合作可持续发展;促进共享合作,构建产学研合作生态体系。韩国产学合作工程的实施对我国更好开展产学合作工作具有重要的启示和借鉴意义,对标未来产业需求变革人才培养体系、立足产业变革需求推动知识技术创新、搭建专业化合作平台深化合作基础、构建支持保障机制促进共享合作是我国构建产学研深度融合的体制机制的重要着力点。

    The new trend of engineering implementation in Leaders in Industry-university Cooperation in South Korea are as follows :benchmarking the future industry, build a talent training system for industry needs; promote industrial transformation, cultivate and create high value-added entrepreneurial universities; strengthen the foundation of cooperation to achieve sustainable development of industry-university-research cooperation; promote shared cooperation and build an industry-university-research cooperation ecosystem. The implementation of the engineering implementation in Leaders in Industry-university Cooperation in South Korea has important enlightenment and reference significance for China to better carry out industry-university cooperation. China needs to change the talent training system benchmarks the future industry, and promotes knowledge and technology innovation based on the needs of industrial change., building a professional cooperation platform to deepen the cooperation foundation, and building a support and guarantee mechanism to promote shared cooperation.


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