分簇传感器网络中对密钥管理方案

本文提出一种分簇传感器网络中的基于双变量多项式的对密钥建立方案,无需可信第三方存在,整个网络被划分戍若干个簇,根据节点的可信度选举出簇头,能够保证任意两个簇头节点都可以建立对密钥,任意两个簇内节点也可以建立对密钥。     

复杂产品系统研发团队的交互记忆系统与团队效能关系研究

本文采用实证研究,针对复杂产品系统的研发团队,从团队成员所具有的心理资本出发,探索团队成员心理资本对团队成员交互记忆系统的形成及发展的影响,进而得出其对团队效能的影响。从而为复杂产品系统中研发团队的建设提供建议,进而提升团队效能。     

预案分析的贝叶斯网络方法

在对预案进行评估分析和执行过程中常会涉及不确定性问题,传统的预案编制工具关键路径法(Critical Path Method,CPM)不具备处理不确定性问题的能力。本文推荐的贝叶斯网络法(Bayesian Networks)因其处理分析不确定性问题的能力已经被广泛应用于一系列的决策支持应用,但对预案评估分析的应用是新颖的。本文介绍了用贝叶斯网络法分析传统关键路径法编制的预案。     

创业团队成员信任对社会网络与企业创新能力关系的影响

本文通过对吉林省112家有效样本企业进行调查,将社会网络细分为内部社会网络和外部社会网络,在创业团队的定义下检验了社会网络与信任对新创企业创新能力的影响。研究结果表明,内外部社会网络都会对企业创新能力产生积极影响,而团队成员之间的信任则作为调节变量影响两者之间的关系。创业团队成员之间的信任越高,越有利于知识、信息的传播与交流,内部社会网络对企业创新能力的积极影响越大;但却易产生"非我发明症"现象,导致外部社会网络对企业创新能力的积极影响越小。     

基于多案例的复杂产品系统项目组织结构动态调整研究

现有研究认为项目武（BPO）是复杂产品系统（CoPS）实施最适合的组织结构,然而在项目实践中多数CoPS项目均未完全采用这一组织结构。本文以此现象为研究对象,主要采用文献研究和案例研究方法,借助问卷调查和访谈等手段,比较分析了四个典型复杂产品项目实施过程中组织结构的动态调整的过程。研究表明,在复杂产品系统需求分析、系统结构设计、模块开发阶段,项目的组织结构形式是从弱矩阵式逐步过渡到强矩阵式进而发晨为对接式项目团队,在系统集成阶段,进一步演化为项目式组织结构。     

基于非线性主成分分析的信用评估模型研究

传统的主成分分析（PCA）本质上是一种线性映射算法,无法有效处理非线性关系的数据。本文在分析自联想神经网络（AANN）的基础上,借鉴传统PCA方法中的序数主成分概念,提出了基于顺序自联想神经网络（SAANN）的非线性主成分分析法（NLPCA）。进一步,结合神经网络（NN）和Logisitic模型,以我国上市公司为研究对象,分别构建了基于NLPCA-NN和NLPCA-Logisitic的信用评估模型。实证结果及ROC曲线分析表明,本文构建的NLPCA相比传统的线性PCA方法能有效地实现数据的非线性特征提取与降维,提高模型预测性能。此外,实证结果还表明,在相同PCA方法处理数据的条件下,神经网络模型的信用评估效果要好于Logisitic模型。     

The Challenge of Adaptive Capability in Public Organizations

Abstract

This article describes an attempt within the Danish Crime Prevention Council to improve adaptive capability. The article applies a complex adaptive system perspective and analyses the organizational identities of the Council to determine how processes of integration, differentiation and fragmentation influence adaptive capability. The findings emphasize the importance of path dependency in actor's attempts to adapt. Based on this finding, the article suggests that the complex adaptive system perspective can be enriched by an institutional theory.     

The internationalisation from a network perspective: A longitudinal study

This article explores a range of internationalisation options in terms of their adequacy in explaining the patterns of internationalisation undertaken by contemporary organizations. It is argued that there is a life cycle in the internationalisation of firms and that existing explanations of internationalisation cater for some, but not all, elements in this life cycle. The paper then outlines a longitudinal study of the internationalisation of an Australian firm from its early tentative involvement via export in the 1960's to its acquisition by an overseas firm in 2000. This study shows that network embeddedness appears to offer the most comprehensive explanation for the international life cycle of contemporary organizations.     

演化经济学的两种系统观

演化经济学在系统处理方法上呈现出两种不同的主张,一种是以复杂适应系统理论为导向的演化建模分析方法,而另一种则强调多层级本体论和涌现观,并对复杂系统建模持抵制态度,尽管在反对主流经济学微观还原论这一点上两者取得了一致,但建立在相似性理论基础上的复杂系统建模更适合对复杂性存在的描述,而强调比较的、历史的和阐释的多层级本体论和涌现观的系统分析方法则更接近经验事实。     

Study based on ＂Situational Rationality＂ hypothesis for customer market classification model

The traditional market segmentation was based on ＂transcendental rationality＂ or ＂Situational Rationality＂, studies shows that it had disadvantages. This paper states the ＂Situational＂ integrated rationality hypothesis and then comes up with the market segmenting models and classification algorithm basing on this hypothesis. This algorithm combined the Rough Set theory and Neural Networks in application, which overcome the dilemma that caused complicated network structure and long training time by only using Neural Networks and influenced the classification precision caused by noise disturbance by only using Rough Set methods. Finally, the paper did a comparison experiment between the traditional method and the method we came up, the results shows that the model and algorithm has its advantage on every aspects.