面向个性化信息服务的图书馆移动用户行为分析模型设计

总结国内外图书馆移动用户行为的研究现状,为面向个性化信息服务的图书馆移动用户行为分析模型设计提供参考。采用理论研究与模型分析相结合的方法,从数据采集、数据处理与数据应用三方面研究用户行为动作序列和用户行为特征之间的关系。以前端操作行为与后端业务数据库相结合的方式定义和表示图书馆移动用户在iOS App、Android App与Web页面上与产品UI的隐形反馈行为,采集移动用户客户端基础信息字段、用户行为相关字段、配置Flume 3个方面数据,引入时间维度、用户维度、部门维度、资源维度、行为维度、入口渠道6个维度进行数据仓库层面的建模,从用户行为序列预测与用户兴趣引导两步实现数据应用。     

基于Citespace的技术机会发现研究——以物联网技术发展为例

近几年物联网市场连续保持近30%的高速增长,逐渐渗透到社会经济的各个领域,物联网已经成为全球最大市场。因此,深入研究物联网的技术机会对于提升企业核心竞争力具有重要的现实意义。本文主要借助于Citespace可视化分析软件挖掘科技论文与专利文献中有关物联网技术研究的文献,通过对比分析科技论文和专利文献中关键词聚类、技术研究热点分析发现物联网发展的两大类技术机会分别是在物联网应用层上GIS技术和平台层中多源大数据下融合计算技术,结尾部分总结了物联网行业未来发展的八大趋势。     

“互联网+”时代城市图书馆跨界服务发展模式研究

[目的/意义]通过此研究给图书馆跨界服务研究和图书馆发展提供参考和借鉴。[方法/过程]文章从研究城市图书馆跨界服务概念入手,在分析其动因的基础上,提出了城市图书馆基于服务集成的产业间跨界融合模式、基于"互联网+"的线上线下跨界服务模式和基于上下游协同的供应链跨界服务模式3种跨界服务模式,并根据功能的不同每种模式又可进行细分。[结果/结论]"互联网+"时代城市图书馆跨界服务是图书馆行业发展的必然趋势。     

Exploring the complex and non-linear evolution of Chinese international students’ experiences in US colleges

This article contests the narrative of Chinese international students (internationals for short) as passive and problematic to reveal the complexity and fluidity of their experiences. Simultaneously, it troubles the overly linear approach of stage theory in understanding internationals’ adjustment. Following nine first- and nine second-year students in US colleges over a year and involving them in semi-structured interviews and journal prompts, this research examined how they evolved. Findings show that while participants grew on academic and personal fronts, their experiences remained multi-dimensional, with second years being less sanguine and reporting challenges different from first years. This article argues that seeing Chinese internationals’ evolution as an uneven ascent affords a more nuanced understanding compared to a U-shape stage theory as it recognizes that while internationals are evolving, new situations provide challenges which they learn to overcome. Consequently, Chinese internationals’ growth troubles the deficit discourse around them and departs from pre-existing research around postgraduates. Findings spell implications for how the college community should enhance transcultural understanding and how future research around internationals could develop.     

Examining the antecedents of sport team brand equity: A dual-identification perspective

Although the practice of building brand equity in the context of professional sport teams is popular, the formation of sport team brand equity in the sport marketing literature is still relatively unknown and incompletely understood. In this study, the authors propose a dual-identification model to examine the formation of sport team brand equity in an Asia-based professional team sport setting. Baseball fans (N = 548) of the Chinese Professional Baseball League (CPBL) in Taiwan participated in the self-administered survey. A Partial Least Squares Structural Equation Model analysis revealed that marketplace characteristics (including group experience, salient experience, team history, and fan rituals) and brand-identified-related factors (including self-congruity and team brand prestige) were significantly related to identification with sport team and identification with sport team brand, respectively. In turn, both identification with sport team and identification with sport team brand were significant predictors of sport team brand equity. These findings highlight the importance of studying a dual-identification model in order to understand how sport team brand equity forms and suggest implications for sport team managers.     

多维度属性加权分析的微博用户聚类研究

[目的/意义]准确把握社交网络用户兴趣倾向,对用户进行分类并形成高聚合的用户群,对研究社交网络信息生态以及信息推荐有重大意义。[方法/过程]通过构造基于多维度的用户属性描述层次模型,根据模型数据需求从新浪微博抓取用户样本数据,对相关用户背景信息、用户博文信息以及用户行为信息的多维度属性下二阶变量进行量化,构造用户向量表达式,比较单一维度与多维度下的用户分类效果,进一步给属性赋予不同的权重值进行加权分析,在取得最优聚类效果后进行方差分析,对模型进行改进。[结果/结论]基于多维度属性加权后的用户聚类效果明显高于单一维度及多维度非加权条件下的用户聚类,且用户博文内容维度对于提高用户聚类效果的有效性最大。     

Beyond the paycheck: Chinese rural teacher well-being and the impact of professional learning and local community engagement

This paper proposes a theoretical framework to understand the structure and determinants for rural teacher well-being (TWB), with a focus on key factors that can mediate low pay and poor work conditions, specifically teachers’ professional learning (PL) and community engagement (CE). This framework was tested using structural equation model in a sample of 3155 rural teachers in China. The quantitative results confirmed a second-order factor structure for TWB, evidencing the significant impact of pay satisfaction and the mediating effects of PL and CE of rural teachers. Implications encourage policymakers to strengthen rural TWB by enhancing PL and community connections, while continuing to seek ways to improve pay and work conditions.     

Improving training outcomes: the significance of motivation when learning about new shipboard technology

This paper reports on some of the findings from a study of new technology and training in shipping. It identifies the key significance of motivation in the learning process and identifies potential factors that motivate or demotivate seafarers when undertaking training about new equipment. It shows that seafarers’ motivation is likely to be impacted by confidence that training is good for the job as well as for promotion. It demonstrates that companies can facilitate and encourage individuals to initiate learning activities but that they may equally adopt strategies which discourage learning. Enabling factors include: establishing a positive learning environment; adopting clear policies; allowing seafarers to identify their own training needs and allowing seafarers to request support for specific courses. Conversely, companies may demotivate some seafarers in relation to training by shifting the burden of training ‘costs’, such as time and money, onto them.     

供应链企业的商业模式创新机制研究

本文依托产业价值链的“微笑曲线”,结合供应链的“四流”价值流要素,构建供应链服务行业的价值链模型,接着结合商业模式创新的理论视角,应用探究性和案例性研究方法,对供应链企业从创新战略与创新路径两个维度研究商业模式创新机制,最后以实践案例进行分析。研究得出三点结论：在商业模式创新机制方面,企业可实施商流、物流、信息流和资金流四大价值流管理创新战略;企业可遵循专业性精深创新和综合性拓展创新两条路径;企业实施商业模式创新需要以其拥有的关键资源和能力以及依托其在所属行业的价值链模型作为参照基础。     

基于专利和科技论文的技术机会识别研究——以金属3D打印技术为例

主要基于Web of Science科技论文和Derwent专利文献,利用SATI、SPSS等分析工具,提取文本关键词并构建相异共现矩阵,采用多维聚类方法识别研究热点主题。在继承和发展Naoki Shibata技术机会理论的基础上,通过对比科技论文和专利文献研究热点主题的差异来识别金属3D打印的技术机会。研究得出,科技论文和专利文献分别有4个研究热点主题,识别了两大类共4个技术机会。首次基于专利和科技论文研究金属3D打印的技术机会,开拓了金属3D打印的研究视野,对金属3D打印行业的企业战略决策具有指导作用。