企业数据库体系化环境及建设

信息化建设是目前企业为提高自身竞争而正在做的一项重要工作，企业信息化的目的就是要让自己和服务对象能及时获得所需要的信息，以调整和控制企业的运营，为用户提供更好的产品和服务，章从企业数据环境的角度，给出了企业数据库体系化环境的概念，说明了各层次数据库的作用，探讨了数据库体系化环境的建设。     

“放管服”视域下我国大学治理现代化路径探析

大学治理现代化包括大学治理体系现代化和大学治理能力现代化两个方面。从高等教育"放管服"改革视角看,目前大学治理仍存在治理理念缺乏"放管服"顶层设计、治理制度执行力欠佳、治理权力主体交错杂糅、治理步伐缓慢、治理手段更新滞后等问题。有鉴于此,通过注重治理理念的顶层设计、完善制度建设、理顺权力主体关系、改进大学治理方式和升级现代信息技术来实现大学治理现代化。     

MOOCs来了，开放大学如何积极应对

MOOCs大规模开放网络课程是远程教育近年来出现的新型课程模式。该课程模式具有开放、大规模、在线和免费的特点,它给高等学校特别是开放大学带来了极大震撼。本文分析了MOOCs的形成发展与优势,及其对高等学校和开放大学的影响,并依据开放大学的历史使命,提出了开放大学应对MOOCs挑战的措施。     

以诚信政府为视角谈我国政府信息公开

政府信息公开是现代民主法治建设的内在要求,是人民主权和公民知情权的具体体现,有利于发展、强化民主政治,保障公民的权利和维护公众的利益。如果信息公开化的程度不足,势必会引起腐败现象的滋生,直接导致广大群众对政府信任的缺失,因此加强政府信息的公开,是构建诚信政府的基本要求和第一要义。近年来,我国的政府信息公开制度在一定程度上取得了较大的进步和发展,但还不是很完善,仍然需要进一步的建设和完善,以便构建优质的诚信政府。     

数据挖掘技术在客户关系管理中的应用研究

客户关系管理以客户为中心,深入研究客户行为,通过客户关怀提高客户满意度,进而提高企业的竞争力。而数据挖掘技术则为客户关系管理提供了强有力的技术支持。文章阐述了数据挖掘技术在客户关系管理中应用的研究背景和意义,并介绍了客户关系管理思想、数据挖掘的过程和方法、以及数据挖掘技术在客户关系管理中的应用。     

An empirical investigation of factors influencing the adoption of data mining tools

Previous studies explored the adoption of various information technologies. However, there is little empirical research on factors influencing the adoption of data mining tools (DMTs), particularly at an individual level. This study investigates how users perceive and adopt DMTs to broaden practical knowledge for the business intelligence community. First, this study develops a theoretical model based on the Technology Acceptance Model 3, and then examines its perceived usefulness, perceived ease of use, and its ability to explain users’ intentions to use DMTs. The model's determinants include 4 categories: the task-oriented dimension (job relevance, output quality, result demonstrability, response time, and format), control beliefs (computer self-efficacy and perceptions of external control), emotion (computer anxiety), and intrinsic motivation (computer playfulness). This study also surveys the moderating effect of experience and output quality on the determinants of DMT adoption and use. An empirical study involving 206 DMT users was conducted to evaluate the model using structural equation modeling. Results demonstrate that the proposed model explains 58% of the variance. The findings of this study have interesting implications with respect to DMT adoption, both for researchers and practitioners.     

异构数据库数据迁移研究

数据迁移是指将一种数据环境中的数据根据需要进行某种转换,导入另外一种相异或者相同的数据环境中。异构数据库迁移是指将数据库管理系统中不同的,或者数据结构、数据组成与定义相异的数据之间尽量进行等价、无损的数据转移。通过文献案例和理论研究对异构数据库的迁移技术进行了分析,提出了一种以Java为编程语言和数据库结构JDBC为基础的异构数据库管理系统的迁移方法,并通过实验证实了此方法的有效性。     

Web数据挖掘在急性高原病易感人群预测中的应用

将Web数据挖掘技术应用于急性高原病易感人群的预测中,通过Web技术与数据挖掘技术相结合,将分散于Web中的数据经过检索、清洗、处理后存储在专门的数据仓库中。在现有研究成果的基础上,提出一个简便、高效的急性高原病易感人群预测模型。     

The timing of openness in a radical innovation project,a temporal and loose coupling perspective

We extend the Profit from Innovation (PFI) framework (Teece, 1986) by combining it with open innovation insights: we explore when and how managers make the transition between closed and open innovation, and how they use appropriation (formal and informal defense mechanisms) and project strategies to capture the value generated from the innovation at the project level. Based on a radical innovation project at Jaguar (UK), we contribute to a process and temporal perspective of open innovation by shedding light on two core project processes and their enabling mechanisms which influenced the ability of Jaguar to maximize profits from the innovation. The first core project process was the choice of timing of the shift from a closed to an open model of innovation: it was enabled by a pro-active change in the formal defense strategy (i.e. submission of a patent), and by an internal loose coupling project strategy that involved autonomy of the project champion and internal engineers’ weak membership in the project. The second core process was an external loose coupling project strategy that was enabled by the deployment of two complementary informal appropriation mechanisms namely, the reduction of the scope of tasks allocated to external partners combined with the development of guarded relationships with them.     

More is not always better: Effects of collaboration breadth and depth on radical and incremental innovation performance at the project level

This study investigates the effect of project-level collaboration breadth (i.e., the number of collaboration partner types) and collaboration depth (i.e., the intensity of the interactions with these partners) on the incremental and radical innovation performance of innovation projects. The econometric analyses, based on a Community Innovation Study sample of 218 innovation projects conducted in German manufacturing companies, reveal inverted U-shaped relationships between collaboration breadth and radical innovation performance and between collaboration depth and incremental innovation performance. These curvilinear effects speak to the high sensitivity of innovation projects to the extent of collaborative activity, which implies that practitioners should exert caution in managing collaborative innovation projects. This study contributes to the understanding of project-level open innovation and to the overall understanding of the performance effects of innovation collaboration, which, following recent assertions in the literature, could be flawed by analyses conducted at the organizational level.