需求驱动下高校图书馆智慧信息服务平台设计研究

论文从需求驱动知识流动这一视角出发,构建了高校图书馆内用户与机器、用户与馆员,用户与资源的三种知识流动的组合结构模型,同时在分析智慧信息服务价值特征的基础上设计了高校图书馆智慧信息服务平台的总体结构,旨在为高校图书馆智慧变革提供借鉴。     

Identification of highly-cited papers using topic-model-based and bibliometric features: the consideration of keyword popularity

The number of received citations have been used as an indicator of the impact of academic publications. Developing tools to find papers that have the potential to become highly-cited has recently attracted increasing scientific attention. Topics of concern by scholars may change over time in accordance with research trends, resulting in changes in received citations. Author-defined keywords, title and abstract provide valuable information about a research article. This study performs a latent Dirichlet allocation technique to extract topics and keywords from articles; five keyword popularity (KP) features are defined as indicators of emerging trends of articles. Binary classification models are utilized to predict papers that were highly-cited or less highly-cited by a number of supervised learning techniques. We empirically compare KP features of articles with other commonly used journal-related and author-related features proposed in previous studies. The results show that, with KP features, the prediction models are more effective than those with journal and/or author features, especially in the management information system discipline.     

Knowledge spillovers: Does the geographic proximity effect decay over time? A discipline-level analysis,accounting for cognitive proximity,with and without self-citations

This work analyzes the variation over time of the effect of geographic distance on knowledge flows. The flows are measured through the citations exchanged between scientific publications, including and excluding self-citations. To calculate geographic distances between citing and cited publication, each publication is associated with a “prevailing” territory, according to the authors’ affiliations. We then apply a gravity model to account for the research size of the territories, in terms of cognitive proximity of citing-cited publications. The field of observation is the 2010–2017 world publications citing the 2010–2012 Italian publications, as indexed in the Web of Science. The results show that in domestic knowledge flows, geographic proximity remains an influential factor through time, although with differences among disciplines and trends of attenuating effects. Finally, we replicate the analyses of knowledge flows but with the exclusion of self-citations: in this manner the effect of geographic proximity seems reduced, particularly at the national scale, but the differences (with vs without self-citations) lessen through time. As shown in previous works, the effect of distance on continental flows is modest (imperceptible for intercontinental flows), yet here too time has some influence, including concerning exclusion of self-citations.     

和县模式研究综述

和县模式从试点至今已7年时间,受到业界普遍关注,褒贬不一。本文统计和县模式的研究成果,对和县模式及其改革的背景进行概述,并重点对和县模式改革的优越性、取得的阶段性成效以及存在的问题进行归纳和总结。     

运用专利引证开展技术热点监测的实证研究

分析目前利用专利文献进行技术热点监测的两种方法的不足,介绍一种基于专利引证的技术热点监测方法,包括该方法的理论依据、应用进展、详细设计流程,并利用DVD激光头技术进行实证研究,指出基于专利引证数据的热点监测方法更加科学、有效。     

我国公益性信息资源开发利用的发展现状与业务模式

回顾我国科教文卫4个行业的公益性信息资源开发利用发展现状,总结我国公益性信息资源开发利用的4种基本模式,即配置-共享模式、保存-传递模式、挖掘-支撑模式、服务-增值模式,并对4种基本模式在上述4个行业中的具体应用和基本特点进行论述。
     

政府信息资源市场配置动态模型研究

运用一阶差分方程构建政府信息资源市场配置的离散时间动态模型,探索影响其需求量的因素及最佳配给量。用MATLAB对所建模型进行数值求解的结果表明：用户信息素养及信息素养投资比例对政府信息资源市场配置需求量有显著影响。揭示出：当信息素养投资效应及投资比例达到一定程度时,政府信息资源配置易达到相对均衡,所建模型能反映政府信息资源配置均衡的一般式。     

IT产业国际竞争中的信息技术学习行为模型研究

在分析IT产业国际竞争中信息技术转移、吸收和创新机理的基础上,对信息技术学习行为模型进行研究。重点探讨IT产业全球梯度转移格局下,企业IT转移与学习行为的影响因素,竞争与合作过程中的IT复制进化学习博奕关系;期望在增大IT产业转出方利益的同时,努力提高产业转入方的IT学习、吸收和消化能力,增强转入产业的根植性,尽可能地实现双方的合作共赢,从而为我国企业IT自主创新决策提供支持。     

基于知识发酵理论的校企合作技术创新机理研究

在总结知识发酵理论的基础上,构建校企合作技术创新的知识发酵模型,并对模型的构成要素及其相互关系进行分析;进而将校企合作技术创新过程划分为确定知识菌种、建立合作技术创新组织等5个阶段,剖析校企合作技术创新的过程机理,从知识酶反应角度建立校企合作技术创新反应方程,直观体现校企合作技术创新的协同创新机理。     

数字图书馆用户信息选择行为研究

借鉴有限理性理论、透镜模型及准确-努力模型,构建了依赖于有限认知资源作出信息选择决策的行为模型,对用户信息选择的影响因素-信息线索和信息检索环境进行考察。应用实证方法研究信息线索和信息选择不确定性的相互作用关系,对不同的信息检索途径中信息线索的有用性和权重变化进行了深入分析。在不同信息检索环境调整信息线索的使用,使用户信息选择的准确性最大化和所需努力最小化,指出元信息充足度与用户满意度高度相关,提出数字图书馆应通过加强元信息的准确度、提高元信息的充足度、减少元信息的所需的认知努力提升用户的满意度。