报务兵选拔与训练关键心理素质研究

研究报务兵的关键心理素质和选拔训练方法。通过听抄实验、密码记忆实验、概念模型发现人与人之间的素质确实存在着很大的差别,通过这些实验可以发现更适合于报务训练的人群,通过概念模型可以提高练习发报的效率。     

基于泛在图书馆的高职院校教学服务研究

通过分析当前信息技术下的高职学生的阅读习惯,研究基于泛在服务的图书馆报务的创新模式,探索基于泛在图书馆的高职院校教学服务的实现方案。     

嵌入性-跨组织学习-技术创新之关系研究

运用文献分析与深度访谈调查的方法,探索网络嵌入性、跨组织学习与技术创新间的关系,在此基础上,提出三变量之间关系的概念模型,根据访谈研究的结果,进一步研究了检验该概念模型的校验模型,运用该校验模型可以对原概念模型的适应性进行校验,进一步验证模型的有效性。     

基于知识元的非常规突发事件情景模型研究

通过抽取情景共性要素及要素关系提出情景元模型,在此基础上提出具体领域的基于知识元的情景概念模型,而决策人员面对的具体情景则是对情景概念模型的实例化。本研究一方面有利于应用计算机进行情景模拟的研究实现,另一方面也可以提供决策人员在决策时所需的信息,降低决策时所面对的不确定性,为进一步针对情景进行非常规突发事件的应对提供基础。     

一种语义Web服务的理论框架及实现

Web服务是Web上信息和数据集成的有效机制。本文阐述了语义Web服务的相关概念,给出了语义Web报务的理论框架,并通过实例介绍了语义Web服务的实现方法。两者的结合将为下一代网络提供更为广阔的发展前景。     

环境变动、非营利组织创新与组织绩效的关系研究

将组织创新的研究视野拓展至我国不同类型的非营利组织,构建了环境变动、非营利组织创新与组织绩效间关联的概念模型,并以浙江省的公益型和互益型非营利组织为样本对概念模型进行了实证检验。研究结果表明,环境变动对非营利组织创新有直接推动作用,非营利组织创新对组织绩效也有直接正向影响;虽然环境变动对非营利组织绩效的直接影响并不显著,但非营利组织通过采用组织创新战略,可以使环境变动对组织绩效间接产生积极的影响。     

新创企业社会网络对知识获取的影响研究

研究表明,知识越来越受到新创企业的重视,它能促进新创企业的生存及快速成长。而企业拥有的社会网络能够为其获得知识提供广泛的途径。本文以社会网络理论和组织学习理论为基础,构建了社会网络→组织学习→知识获取的概念模型。通过对吉林省、福建省和北京476家新创企业进行问卷调研,获得相关数据,并运用回归法对该概念模型进行实证研究。结果表明新创企业的社会网络不仅对知识获取具有直接的积极影响;还可以通过组织学习对知识获取有间接积极影响。     

基于市场轨道的创新路径研究--以苹果公司为例

技术轨道理论为企业技术创新路径选择提供了重要启示,但实践中存在的“创新路径多样性”对其提出了挑战。构建了“市场轨道”概念模型,并通过美国苹果公司的创新案例研究论证和剖析了市场轨道的存在及其所对应的创新路径。基于市场需求的动态演化特性,以满足新需求、打开新市场为导向的创新路径是新“市场轨道”创立的结果。“市场轨道”概念模型拓展了技术轨道理论,总结了基于需求导向和利用市场机会进行创新的演化规律,可以丰富企业的创新路径选择空间。     

需求分析中概念模型影响用户参与有效性实验室研究

一直以来,有效的用户参与被认为是改善信息系统项目实施结果的重要途径,特别是用户参与早期的需求分析工作.概念模型是用户参与需求分析时理解系统需求的重要工具,本研究试图揭示概念模型对用户参与有效性的影响作用.本研究通过实验室研究发现.概念模型对用户参与有效性起到间接的影响作用:用户对概念模型的.理解程度显著地正向影响用户参与需求分析活动的有效性;概念模型直接影响用户的理解程度,但对用户参与有效性没有直接影响.本研究结论对丰富信息系统领域关于用户行为的研究,以及对信息系统开发实践都有着重要的启示,但还有一些不足之处有待后续研究.     

科学引证概念模型建构与分析

【目的】 为科技编辑出版中的参考文献引用、引文内容鉴审、引用格式规范化,以及科技期刊引文分析和学术评价提供整体性的思维框架和理论参考。【方法】 通过分析科学引证的概念,提出由科学论著、参考文献和引文内容三要素构成的科学引证概念模型。【结果】 根据科学引证概念模型,从科技编辑视角,系统分析了科学论著、参考文献与引文内容的相互作用关系。【结论】 科学引证概念模型分析发现了科技编辑出版和引文分析中存在的问题和缺陷,并得到若干有益的启示,启发值得引起重视的研究课题。     

基于数据挖掘的固网大客户流失组合预警

应用C5.0决策树算法、CART决策树算法、RBF神经网络建立某固网运营商客户的收入流失预警模型,然后运用GMDH方法建立了客户的收入流失组合预警模型。研究表明:模型提高了预警的准确率和覆盖率,模型能够帮助运营商找出收入有可能流失的客户,使其能对这些客户开展提前、有效的挽回营销工作,最大程度减少客户流失。     

中英新闻语言的修辞对比研究

语言的修辞现象带有很浓郁的文化属性。由于中西方文化和语言特点的差异,中英新闻语言也表现出了很大的不同。本文拟从修辞的角度对中英新闻语言的相似和不同进行探讨,希望能加深读者对汉语和英语语言特点的认识。     

Linguistic aggregation methods in blog retrieval

This paper addresses the blog distillation problem, that is, given a user query find the blogs that are most related to the query topic. We model each post as evidence of the relevance of a blog to the query, and use aggregation methods like Ordered Weighted Averaging (OWA) operators to combine the evidence. We show that using only highly relevant evidence (posts) for each blog can result in an effective retrieval system. We also take into account the importance of the posts in a query-based cluster and investigate its effect in the aggregation results. We use prioritized OWA operators and show that considering the importance is effective when the number of aggregated posts from each blog is high. We carry out our experiments on three different data sets (TREC07, TREC08 and TREC09) and show statistically significant improvements over state of the art model called voting model.     

Constructing and navigating personalised views of the Web

WebClass is a system that allows Web users to create personalised conceptual data which is dynamically merged with original HTML source by a specialised proxy server. This allows groups of users to share ‘views’ of the World Wide Web that include conceptual information such as annotations and subject information. WebClass records paths followed by users during Web exploration. Graph traversal operators can be used to answer a variety of questions about explored regions of Web space.     

The public's trust in scientific claims regarding offshore oil drilling

Our study examines how individuals decide which scientific claims and experts to believe when faced with competing claims regarding a policy issue. Using an experiment in a public opinion survey, we test the source content and credibility hypotheses to assess how much confidence people have in reports about scientific studies of the safety of offshore oil drilling along the California coast. The results show that message content has a substantial impact. People tend to accept reports of scientific studies that support their values and prior beliefs, but not studies that contradict them. Previous studies have shown that core values influence message acceptance. We find that core values and prior beliefs have independent effects on message acceptance. We also find that the sources of the claims make little difference. Finally, the public leans toward believing reports that oil drilling is riskier than previously believed.     

Inbound Open Innovation and Innovation Performance: A Robustness Study

In studies of firm's innovation performance, regression analysis can involve a significant level of model uncertainty because the ‘true’ model, and therefore the appropriate set of explanatory variables are unknown. Drawing on innovation survey data for France, Germany, and the United Kingdom, we assess the robustness of the literature on inbound open innovation to variable selection choices, using Bayesian model averaging (BMA). We investigate a wide range of innovation determinants proposed in the literature and establish a robust set of findings for the variables related to the introduction of new-to-the-firm and new-to-the-world innovation with the aim of gauging the overall healthiness of the literature. Overall, we find greater robustness for explanations for new-to-the-firm rather than new-to-the-world innovation. We explore how this approach might help to improve our understanding of innovation.     

Improving the performance of personal name disambiguation using web directories

Frequent requests from users to search engines on the World Wide Web are to search for information about people using personal names. Current search engines only return sets of documents containing the name queried, but, as several people usually share a personal name, the resulting sets often contain documents relevant to several people. It is necessary to disambiguate people in these result sets in order to to help users find the person of interest more readily. In the task of name disambiguation, effective measurement of similarities in the documents is a crucial step towards the final disambiguation. We propose a new method that uses web directories as a knowledge base to find common contexts in documents and uses the common contexts measure to determine document similarities. Experiments, conducted on documents mentioning real people on the web, together with several famous web directory structures, suggest that there are significant advantages in using web directories to disambiguate people compared with other conventional methods.     

民族旅游社区空间的竞争性——基于地方意义的视角

文章以郎木寺为调研区域,采用相片引导的半结构化访谈方式获取调查数据。借助质性分析软件NVivo10.0对访谈内容进行分析,依据特征将地方划分为11种类目,并构建8大类及39小类地方意义类目。研究结果显示：自然景点、佛教寺院、丧葬地点、清真寺、食宿地点和村子家乡是受访者认为最重要的地方;“地方特色”、“精神性”、“群体联系”及“情感与体验”构成了受访者地方意义的主体;不同人群对郎木寺地方意义的表征各有侧重,显示出了明显的差异性：当地居民（藏族与回族）依靠宗教和社区生活形成地方感,而外来者（游客与经营者）则主要依靠原生态文化和生计形成地方感;以游客为代表的外来者和以藏族居民为代表的当地居民对地方意义的表征存在竞争关系,这种地方意义的竞争反映了不同人群关于地方权力的博弈,成为郎木寺地方身份变化的动力,也为认识当地旅游开发过程中的复杂社会现象提供了途径。     

Conceptualising value creation in data-driven services: The case of vehicle data

The creation of data-driven services generates new value streams, leading to the emergence of new actors and ultimately to new market configurations. In the automotive industry, the data generated by vehicles during use paves the way for new types of data-driven services. Based on interviews with eleven prominent experts of the Central European automotive industry, we identify key actors in establishing vehicle data-driven services and their data sharing relationships. We illustrate both in a conceptual multi-actor model for value creation in vehicle data-driven services and evaluate it in the context of six real-life cases. Our study adopts an ecosystem perspective and marks an important step towards the systematic design of a conceptual multi-actor model for vehicle data-driven value creation that can help to guide next research endeavours in data-driven service development.     

A literature review of RFID-enabled healthcare applications and issues

Despite the rising implementation of RFID technology-based healthcare services, few empirical studies have been conducted to assess the potential of this technology within the healthcare sector. The purpose of this study is to help initiate and direct such empirical research by both conducting a review of the extant literature and using the findings to provide a discussion of current trends and future directions in this domain. In this paper, we develop a conceptual framework that can be used to classify publications on RFID applications and issues in the healthcare industry. We then use this framework to systematically summarize relevant articles. We conclude by highlighting future research directions where the deployment of RFID technology is likely to transform the healthcare sector.