大学生网络道德教育研究

本文详细探究互联网对大学生各方面的影响及产生影响的原因和过程,并结合实际工作提出应对各种负面影响的措施,这将为进一步加强大学校园络管理及利用网络开展思想政治工作提供决策依据。     

网络环境对图书馆工作的影响

网络环境的形成给图书馆的馆藏结构、业务工作、文献信息服务等方面带来巨大影响,并对图书馆工作起到重大推动作用。     

当代大学生信息素质教育

信息素质教育是大学生素质教育的重要组成部分.高校图书馆应开设有关课程,开展一系列教育活动,加强大学生信息能力的培养,大力发展信息专业教育.     

团队跨边界活动对团队有效性的影响作用研究

通过文献综述,得出了团队跨边界活动对团队有效性有着倒U型的影响作用这一结论。同时,在团队学习理论和社会网络理论的基础上,对上述作用的内部机制进行研究探索,并从团队和个体两个层面分析相关的影响因素。最后,从企业管理实践的角度出发,基于研究结果提出几点思考和意见。     

互联网+背景下乌鲁木齐网约车的发展研究

网约车的出现使人们日常出行变得更加方便、快捷,但对传统的出租车行业产生了深远的影响。在“互联网+”背景下,如何使网约车在今后获得真正的可持续发展是当今社会普遍关注的热点之一。从网约车在我国的兴起与发展入手,以乌鲁木齐市为例,对乌鲁木齐市网约车发展过程中面临的主要问题,即自身网络平台、司机端、乘客端与传统出租行业的竞争以及相关监管部门等方面进行深入分析,并在完善平台系统、加强司机培训、引导市民认知、加快促进网约车和传统出租车融合发展及完善网约车服务运营管理五个方面提出合理性建议。     

Data-mining,GIS and multicriteria analysis in a comprehensive method for bicycle network planning and design

In many Brazilian cities, the most common procedure for planning cycling networks is using aggregated population data in census tracts, which may not take into account the true origin and destination of trips. It may also not identify potential users of a particular mode of transport. This is particularly important considering that implementing cycling infrastructures should be based on the assumption that they are able to meet the users' needs. Therefore, the aim of this study is to develop and adopt an objective method to design and compare cycling networks based on data-mining of disaggregated origin-destination data, GIS resources, and multicriteria analysis techniques. The method follows three steps: 1) identifying potential users based on real user profiles, 2) designing proposed cycling networks and 3) a comparison between the networks proposed in this study and those developed by the municipality selected as a case study, considering real and potential users, as well as cost and benefit criteria. As a positive outcome, using disaggregated data allows for a reasonable estimate of the number of people served by the networks, a detailed analysis of their proximity to the infrastructure, as well as identifying potential users. Comparing cycling networks considering cost and benefit criteria shows that the chosen criteria were effective. It was also determined that the cycling network of the studied city poorly serves bicycle transport users, if compared to the proposed networks. These findings indicate that appropriate methods for planning cycling networks are still needed.     

Predictive spatial network analysis for high-resolution transport modeling,applied to cyclist flows,mode choice,and targeting investment

Betweenness is a measure long used in spatial network analysis (SpNA) to predict flows of pedestrians and vehicles, and more recently in public health research. We improve on this approach with a methodology for combining multiple betweenness computations using cross-validated ridge regression to create wide-scale, high-resolution transport models. This enables computationally efficient calibration of distance decay, agglomeration effects, and multiple trip purposes. Together with minimization of the Geoffrey E. Havers (GEH) statistic commonly used to evaluate transport models, this bridges a gap between SpNA and mainstream transport modeling practice. The methodology is demonstrated using models of bicycle transport, where the higher resolution of the SpNA models compared to mainstream (four-step) models is of particular use. Additional models are developed incorporating heterogeneous user preferences (cyclist aversion to motor traffic). Based on network shape and flow data alone the best model gives reasonable correlation against cyclist flows on individual links, weighted to optimize GEH (r² = 0.78, GEH = 1.9). As SpNA models use a single step rather than four, and can be based on flow data alone rather than demographics and surveys, the cost of calibration is lower, ensuring suitability for small-scale infrastructure projects as well as large-scale studies.     

高管连锁网络与股价同步性

本文以2009—2018年中国A股上市公司为研究样本,考察了高管连锁网络对公司股价同步性的影响。研究发现：高管连锁网络会提高公司的股价同步性,处于高管连锁网络越中心位置的上市公司,其股价同步性越高;从趋同性和信息透明度两个方面进一步分析高管连锁网络对股价同步性的作用机制,发现高管连锁网络并非通过降低公司透明度这一途径对股价同步性产生影响,而是因为连锁高管加强了上市公司间的行为学习、信息和资源的共享,促使公司间基础特征趋同,进而提高了公司的股价同步性;根据联结类型的不同将高管连锁网络划分为董事网络、监事网络和高管网络,实证结果表明高管网络对股价同步性的提升效应最大,董事网络次之,监事网络对股价同步性无显著影响;区分产权性质和法治环境后发现,在国有企业和所处法治环境较差的企业中,高管连锁网络提高股价同步性的效应更显著。研究结论为提升资本市场信息效率提供了理论支撑。     

价值网络视角下纯电动汽车的破坏性创新研究

随着全球化的迅速发展,各行各业的竞争越来越激烈,为寻求自身竞争力的提高,后发企业凭借新的价值网络进行破坏性创新,从而实现对原有企业的冲击或替代。通过市场所要求的性能改善轨线与纯电动汽车技术性能改善轨线的有无交点的方法对我国纯电动汽车开展破坏性创新进行分析,研究发现,虽然充电时间是制约纯电动汽车的最大障碍,但是由于纯电动汽车整个价值网络的支撑和燃油汽车市场的开始衰落,纯电动汽车的破坏性技术已经对燃油汽车市场形成初步的冲击。     

The architecture of R&D joint projects: the social network analysis approach

This paper examines the effect of network properties on the performance R&D joint projects. In particular, we examine the impact of network cohesion, diversity and shape on the performance of these of exploration and exploitation R&D projects. We test these measures using data on projects from European R&D networks developed under the framework of Eureka projects. The empirical results indicated some network properties enhance the project’s performance and these differ depending on the kind of technological project developed. Our results suggest a lower heterogeneity, greater cohesion and network centralisation in exploitation than in exploration projects. Our findings show different types of structures depending on the aim of the joint project and that there exist different degrees of cohesion between the partners that comprise the core and the peripheral nodes.