我国校园足球政策的三维协同研究     

部义峰  来鲁振 《武汉体育学院学报》2020,54(3):92-100

采用内容分析法,构建集“政策工具-政策制定主体-时间数量”一体化的校园足球三维分析框架,对2009—2018年国务院以及各部委发布的校园足球相关政策进行计量分析,并构建了我国校园足球政策的协同模型。研究表明,校园足球政策制定主体以单一部门为主,联合部门发文量较少,政策制定主体协同度仍需提升。在政策工具的使用上存在较大差异,政府偏向于环境型政策的使用,供给型政策比例有待提高,需求型政策相对匮乏。随着校园足球的深入发展,应该进一步提高政策制定主体的协同性,适当调整环境型政策工具,增加税收金融类;合理匹配供给型政策工具,加强校园足球的推动力;增加需求型政策工具,提高校园足球的拉动力。  相似文献   

数据驱动视野下高校智慧图书馆建设及服务规划——兼论“十四五”时期智慧图书馆发展路径     

邵波  许苗苗  王怡 《图书情报工作》2021,65(1):41-46

[目的/意义] 在科研全面数据化和“十四五”规划的背景下，高校图书馆建设方向和路径对教学和科研具有重大影响，本文旨在提出图书馆智慧化转型的下一步落地和实践思路。[方法/过程] 梳理高校图书馆发展现状，解析发展新态势，以数据意识为出发点，尝试构建智慧图书馆在技术、服务、空间等方面的发展方案。[结果/结论] 智慧图书馆的建设应重点在智能设备、智慧服务平台和智慧空间上“下深功”，此外还需在馆员角色和联盟建设上深入思考。  相似文献   

From user-generated data to data-driven innovation: A research agenda to understand user privacy in digital markets     

《International Journal of Information Management》2021

In recent years, strategies focused on data-driven innovation (DDI) have led to the emergence and development of new products and business models in the digital market. However, these advances have given rise to the development of sophisticated strategies for data management, predicting user behavior, or analyzing their actions. Accordingly, the large-scale analysis of user-generated data (UGD) has led to the emergence of user privacy concerns about how companies manage user data. Although there are some studies on data security, privacy protection, and data-driven strategies, a systematic review on the subject that would focus on both UGD and DDI as main concepts is lacking. Therefore, the present study aims to provide a comprehensive understanding of the main challenges related to user privacy that affect DDI. The methodology used in the present study unfolds in the following three phases; (i) a systematic literature review (SLR); (ii) in-depth interviews framed in the perspectives of UGD and DDI on user privacy concerns, and finally, (iii) topic-modeling using a Latent Dirichlet allocation (LDA) model to extract insights related to the object of study. Based on the results, we identify 14 topics related to the study of DDI and UGD strategies. In addition, 14 future research questions and 7 research propositions are presented that should be consider for the study of UGD, DDI and user privacy in digital markets. The paper concludes with an important discussion regarding the role of user privacy in DDI in digital markets.  相似文献   

Complementing subjective with objective data in analysing expertise: A machine-learning approach applied to badminton     

Olivier Dieu  Christophe Schnitzler  Clément Llena  François Potdevin 《Journal of sports sciences》2020,38(17):1943-1952

ABSTRACT

This study aimed to assess which combination of subjective and empirical data might help to identify the expertise level. A group of 10 expert coaches classified 40 participants in 5 different expertise groups based on the video footage of the rallies. The expertise levels were determined using a typology based on a continuum of 5 conative stages: (1) structural, (2) functional, (3) technical, (4) contextual, and (5) expertise. The video allowed empirical measurement of the duration of the rallies, and tri-axial accelerometers measured the intensity of the player’s involvement. A principal component analysis showed that two dimensions explained 54.9% of the total variance in the data and that conative stage and empirical parameters during rallies (duration, intensity of the game) were correlated with axis 1, whereas duration and acceleration data between rallies were correlated with axis 2. A random forest algorithm showed that among the parameters considered, acceleration, duration of the rallies, and time between rallies could predict conative stages with a prediction accuracy above possibility.

This study suggests that performance analysis benefits from the confrontation of subjective and objective data in order to design training plans according to the expertise level of the participants.  相似文献   

Digital Module 16: Longitudinal Data Analysis     

Jeffrey R. Harring  Tessa L. Johnson 《Educational Measurement》2020,39(3):137-138

In this digital ITEMS module, Dr. Jeffrey Harring and Ms. Tessa Johnson introduce the linear mixed effects (LME) model as a flexible general framework for simultaneously modeling continuous repeated measures data with a scientifically defensible function that adequately summarizes both individual change as well as the average response. The module begins with a nontechnical overview of longitudinal data analyses drawing distinctions with cross-sectional analyses in terms of research questions to be addressed. Nuances of longitudinal designs, timing of measurements, and the real possibility of missing data are then discussed. The three interconnected components of the LME model—(1) a model for individual and mean response profiles, (2) a model to characterize the covariation among the time-specific residuals, and (3) a set of models that summarize the extent that individual coefficients vary—are discussed in the context of the set of activities comprising an analysis. Finally, they demonstrate how to estimate the linear mixed effects model within an open-source environment (R). The digital module contains sample R code, diagnostic quiz questions, hands-on activities in R, curated resources, and a glossary.  相似文献   

图书情报学领域学科交叉及其国家差异的动态分析     

王思茗  滕广青 《图书情报知识》2020,(3):109-118,F0003

[目的/意义]领域知识的跨学科交叉研究能够打破学科间的壁垒,有助于发现重大科学问题的解决方案。[研究设计/方法]基于图书情报学领域文献题录信息构建轻量级领域知识图谱,从中提取学科信息、国家信息、时间信息及其关联,采用时间与空间相结合的多维度分析方法,对学科交叉的演化进程以及国家差异进行跟踪与分析。[结论/发现]图书情报学领域内学科交叉现象日渐显著,各国家的学科交叉程度与倾向存在差异,一些目前尚不突出的交叉学科方向值得关注。[创新/价值]采用多维度视角分析学科交叉现象,相关结论可以为国家科技战略制定及学科发展规划提供有益参考。  相似文献   

“健康中国2030”战略下健康数据协同治理体系研究     

周知  胡昌平 《图书情报工作》2021,65(1):102-109

[目的/意义] 提升公民健康水平是经济社会发展到一定程度后的必然要求，健康数据协同治理体系的构建有助于从信息科学角度达成这一要求，治理体系需要以国家战略为宏观指导，全方位服务于公民健康水平提升的总体目标。[方法/过程] 通过对《"健康中国2030"规划纲要》文本精神的领会，在分析了各治理主体对健康信息治理需求的基础上，提出一种面向"健康中国2030"战略的健康数据协同治理体系，并针对关键环节提出保障措施。[结果/结论] 协调各层级、各部门与各利益主体的健康数据治理体系构建与保障，有助于在推动国家健康战略目标的同时实现健康数据的社会价值，拓展健康信息学的研究范畴。  相似文献   

竞技武术套路运动员力量素质的训练措施分析     

安志超  何英 《中华武术(研究)》2020,(4):109-112

在现代竞技武术比赛中,超强的力量素质对创造优异的运动成绩起着重要作用。本文通过文献资料法、逻辑分析法等方法,针对竞技武术套路的运动特点指导和制定科学合理的力量素质训练方法,旨在使竞技武术套路训练走向更加科学化和规范化的道路,以期促进我国武术事业的发展。  相似文献   

我国体育产业政策变迁:进程、逻辑及演变趋势     

徐成立  张宝雷  张月蕾  田静  陈元欣  周祖宝 《武汉体育学院学报》2020,54(3):45-53

根据政策分析研究的理论范式,通过共词分析法、聚类分析法等研究方法,分析1978—2018年国家层面的172份体育产业政策变迁的历史进程、逻辑和未来发展趋势。研究认为,我国体育产业政策历经改革开放期(1978—1992年)、积极探索期(1993—2001年)、相对停滞期(2002—2009年)、战略发展期(2010—2018年)四个阶段,并呈现阶段性特点。进而总结出我国体育产业政策变迁的历史逻辑(1)政策理念从“政府管理”到“协同治理”理念的转变;(2)政策主体从政府的“一元主体”到“多元主体”的转变;(3)政策过程从“事前控制”到“全过程”的监管;(4)政策工具从“单一运用”到“综合运用”的转变。在此基础上,提出我国体育产业政策的演变趋势(1)继续深化多元协同治理理念;(2)进一步完善政策主体多元协同机制;(3)重点强调政策过程的全过程监管;(4)提高政策工具的合理运用。  相似文献   

马拉松消费者行为研究:特征、挑战与趋势     

鲍芳  袁园媛  张靖弦  黄海燕 《武汉体育学院学报》2020,54(6):10-18

采用实地问卷调查法，收集马拉松参赛者在运动参与行为、实物购买行为和人口特征方面的统计数据，使用k-means聚类分析将马拉松消费者细分为资深马拉松追求者、普通马拉松爱好者和社交者三个集群。研究表明，马拉松消费将面临以下挑战：泛娱乐性大于竞技性造成资深消费群体流失，赛事体系层级不清晰造成消费者混淆，赛事运营服务不专业拉低消费意愿，其他户外运动兴起导致消费份额分化，马拉松消费者非理性消费观念广泛存在。预测未来马拉松消费行为发展的六大趋势：以重点人群为目标扩大马拉松消费；科学跑马服务助力消费者持续参与赛事；沉浸体验式消费不断升级；建设马拉松产业载体拓展消费空间；社交媒体互动式消费发挥中介作用；5G开启智能马拉松消费时代。  相似文献