大学生求学满意度实证研究--某高校学生个体特征对满意度单项要素的影响分析

求学满意度，又称为求学满意程度，它取决于教育需求主体对教育服务的预期同其实际所感知的教育服务水平的对比。教学计划、教学组织、教师教学、教学设施、校园环境、学生5知识技能等都是影响求学满意度的因素。本文在调查取得基本数据的基础上，使用相关的统计检验方法，分析了性别、生源地和不同年级这些学生个体地征对求学满意度单项要素的影响。主要结论有：学生性别差异对满意度单项要素的影响基本是随机的；不同生源地的学生对教学计划和管理制度两个要素的评价具有差异；不同年级的学生对教学设施和知识掌握程度的评价具有显著性差异；学生对学校服务评价单项因素差异很少，总体满意度在一定程度上反应学校的实际情况。     

Customer satisfaction and competitiveness in the Chinese E-retailing: Structural equation modeling (SEM) approach to identify the role of quality factors

This paper attempts to study the impact of customer satisfaction and the Chinese electronic retailers (E-retailers) competitiveness using quality factors. Two conceptual models based on asset-process-performance (APP) competitive theoretical framework have been proposed. The proposed models include E-retailers strategic factors such as logistics, quality and customer satisfaction equivalent to asset, process and performance entities of the APP framework. Using an empirical survey from a young population, this study, with the support of structural equation modeling (SEM) identifies reliability in service quality and purchasing experience in e-service quality as dominant customer satisfaction factors. This study uses both exploratory and confirmatory factor analysis and suggests that to be competitive Chinese E-retailers have to focus more on the delivery of products (logistics) compared to other intangible service quality factors. On theoretical front, this study is a novel attempt to validate the APP framework for E-retailers’ competitiveness. On the practical front, the outcome of the study would be highly beneficial to the Chinese E-retailers to fine tune their strategy to satisfy the growing demand. Furthermore, this study can supplement government policy makers to regulate the growing volatile market.     

一种融合服务满意度的多因素感知云服务性能预测策略

提出了一种多因素感知的云服务性能预测策略,它基于综合权衡服务提供商的利益,通过合理定价和性能保障来量化和优化服务满意度,并以之驱动性能预测,并引入效用理论实现服务满意度的合理定价.最后通过模拟实验表明,它能够降低SLA破坏率,有效提高云服务的资源利用率.     

基于集对分析与NSGA-Ⅱ的生产作业多目标优化

针对生产过程中生产作业的优化调度问题,以生产质量、效率和成本阈值为约束条件,基于集对分析建立了的生产质量—效率—成本控制的生产作业多目标优化模型;利用快速非支配排序遗传算法（NSGA-Ⅱ）求解优化模型,得到相对确定条件下质量—效率—成本控制的Pareto最优解集。决策者依据实际生产过程需要,为各项生产作业从Pareto最优解集中筛选最合理的调度方案。最后,通过算例仿真验证了结合集对分析与NSGA-Ⅱ的方法解决生产作业多目标优化问题的准确性、有效性和实用性。     

基于数据局部性的推测式Hadoop任务调度算法研究

针对Hadoop平台现有任务调度算法优化程度不高的问题, 提出了一种基于数据局部性的推测式任务调度算法。该算法通过计算节点上Map和Reduce任务时长比例, 结合不同节点上数据的局部特性, 采用了比现有算法更精确的任务进度探测方式找出快慢节点, 在快节点上启动剩余时间最长的落后任务的备份任务, 用移动计算代替移动数据。在Hadoop环境中进行了实验, 结果表明该算法比现有算法缩短了任务平均运行时间, 加快了任务的执行效率。     

Examining the role of perceived value in virtual communities continuance: its antecedents and the influence of experience

Although perceived value has long been recognised as an influential means of affecting continuance intention in information systems (IS), little attention has been devoted to explore its antecedents, which constitutes an important research issue. This study, building on prior literature on continued usage in IS as well as the resource-based view, proposed a model to address this gap. Our model suggests that perceived value, a major driving force for members’ satisfaction and continuance intention, is affected by four kinds of resources embedded in virtual communities, which are relationship resources, technology infrastructure, knowledge resources and human resources. To provide additional insights on the pivotal role of perceived value, we also postulate that experience moderates the link between perceived value and its antecedents. Data collected from 235 members of a professional virtual community provide strong support for the research model. It was found that perceived value exerts a great effect on both satisfaction and continuance intention. In addition, when different levels of experience are taken into consideration, relationship resources, knowledge resources and human resources were found to be more salient to high-experience members, whereas technology infrastructure was found to be more salient to low-experience members. Finally, this study discusses the implications of these findings and offers direction for future research.     

高职网络技术专业毕业生就业满意度调查分析

对高职网络技术专业125名毕业生就业满意度跟踪调查,从就业情况、首次就业成功因素、专业课程内容设置、专业教师教学水平、专业教学管理、专业技能重要性、运用专业技能熟练程度、对职业资格证书的意见等九个方面进行分析,为教学改革提供依据。研究大学生就业能力结构及其对就业结果的影响,对调整课程设置与教学内容,构建以能力为核心的课程体系具有重要意义。     

数据操作系统中的双层优化调度模型

调度问题是数据操作系统研究中的关键性问题,它建立了计算资源、计算任务以及数据间的链接关系。在海云协同网络环境下的调度问题中,常见的调度考量包括公平性、数据本地性等。由于数据操作系统使用环境的演化,工作负载中任务的交互特性给调度问题提出了新的挑战。本文在保留传统调度考量的基础上,兼顾交互、批处理两种作业模式的异同,提出一种优化的双层调度模型,并使用符合实际产业环境分布的工作负载在现实集群上对该调度模型进行了验证。实验结果说明,该模型以微量降低系统吞吐量的代价整体优化了交互作业的响应时间,同时兼顾了用户级公平性。     

基于LTE下行多业务传输QoS保证的跨层调度算法

众多资源分配的调度算法中, 有区别地实现不同业务QoS要求的调度策略研究不多。针对此问题, 通过将不同QoS等级和要求加入到调度策略的影响因素中, 提出了一种适用于LTE下行多业务传输的多目标跨层分组调度算法, 并设计了一个用户满意度函数, 用来评价分组调度算法的综合性能。对该算法性能进行了仿真验证, 并同PF算法仿真结果进行比较与分析, 表明该算法能够满足不同业务的QoS要求, 综合性能优于PF算法。     

顾客需求在QFD中地位的顾客满意度建模方法

为了客观的识别顾客需求,有效的获取顾客满意度,以质量功能展开(Quality Function Deployment,QFD)中顾客需求为研究对象,运用了层次分析法(Analytic Hierarchy Process,AHP)与QFD结合的方法,建立了AHP-CS模型,对顾客需求进行了定量识别,获得了顾客满意度.并以航天某公司为实例,对其顾客满意度测算公式做了修正,进而能够提高对QFD的后续工作的质量.