细长油缸孔在卧式床上的加工

液压缸的基本零件是油缸,对于细长油缸孔的加工应采用拉削加工的方法。刀杆在工作时不是悬伸的,而是两头有支撑,从而改变了其切削条件。切削刚度的加强,消除了振动,保证了加工精度,提高了生产率。     

基于顾客让渡价值的异地品牌消费经济价值分析

在品牌消费市场存在着本地和异地二元市场的情况下,企业因发展需要会不断寻求顾客让渡价值与企业让渡价值的均衡值。企业的发展行为会改变产业的市场格局和竞争状态,进而影响市场价格的波动。当激烈的市场竞争造成企业让渡价值小于零的情况时,通过分析和认识品牌消费价值的组成,企业可以通过品牌价值交换平台来分别评估和出让各自的异地市场,以本地消费市场的扩大来变相实现异地品牌消费市场的价值,从而实现顾客让渡价值与企业让渡价值的再均衡。     

满意与忠诚的路径剖析:来自天津寿险业的实证

满意的顾客未必忠诚。对此,有学者认为满意是忠诚形成的必经环节,但忠诚的形成还受很多调节因素的影响;也有学者认为满意和忠诚之间呈现非线性关系。然而他们都未考虑满意和忠诚之间直接关系的假设是否合理。为此,笔者借鉴承诺-信任理论,对满意与忠诚的路径进行了剖析,并实证检验了变量之间的路径关系。研究发现满意、信任和承诺是普通顾客向忠诚顾客转化时心理变化的三个阶段。     

Karl Pearson and the Scandinavian School of Statistics

The relationship between Karl Pearson and the Scandinavian statisticians was more of a competitive than a collaborative nature. We describe the leading statisticians and stochasticists of the Scandinavian school, and relate some of their work to the work of Pearson.     

Exploring business process modelling paradigms and design-time to run-time transitions

The business process management literature describes a multitude of approaches (e.g. imperative, declarative or event-driven) that each result in a different mix of process flexibility, compliance, effectiveness and efficiency. Although the use of a single approach over the process lifecycle is often assumed, transitions between approaches at different phases in the process lifecycle may also be considered. This article explores several business process strategies by analysing the approaches at different phases in the process lifecycle as well as the various transitions.     

职工养老保险扩面征缴的政策过程分析——基于江苏省的实证分析

养老保险的扩面征缴是确保养老保险可持续发展的中心环节,而养老保险扩面征缴涉及到政策的输出、执行和反馈等环节,在职工养老保险政策扩面征缴过程中,可以发现问题,对原有的政策进行修正和调整,实现政策的优化。     

模糊层次分析法优化BP神经网络的交通冲突预测模型

本文通过全面剖析影响交通冲突的原因,以交通流量、道路几何设计和道路环境三方面的因素建立指标层次结构体系。提出基于模糊层次分析(FAHP)法优化BP神经网络(BPNN)的预测模型,应用于交通冲突预测。     

基于EAI构建企业外部服务平台

企业信息化过程逐步从优化内部管理转向提高外部服务，许多企业开始实施CRM和SCM，并进而实现B2B电子商务。EAI的目标是实现企业不同系统之间的集成，通过EAI的实施，可以使企业服务系统获得以ERP为代表的企业后台系统的支撑。     

网络经济新模式——协同商务

根据国内外有关协同商务的最新进展和研究成果，分析了协同商务产生的背景和动因，介绍了协同商务的概念、特点，提出了协同商务的初步框架结构和主要的使能技术，并对协同商务的应用现状和未来作了讨论。     

Does social capital determine innovation? To what extent?

This paper deals with two questions: Does social capital determine innovation in manufacturing firms? If it is the case, to what extent? To deal with these questions, we review the literature on innovation in order to see how social capital came to be added to the other forms of capital as an explanatory variable of innovation. In doing so, we have been led to follow the dominating view of the literature on social capital and innovation which claims that social capital cannot be captured through a single indicator, but that it actually takes many different forms that must be accounted for. Therefore, to the traditional explanatory variables of innovation, we have added five forms of structural social capital (business network assets, information network assets, research network assets, participation assets, and relational assets) and one form of cognitive social capital (reciprocal trust). Based on the survey data administered from April to June 2000 to 440 manufacturing firms of diverse industries in a region in the southwest of Montréal, we have found that 68.5% of the firms have developed product or process innovations during the 3 years preceding the survey. Assuming that innovation is not a discrete event but a complex process, we have modeled the decision to innovate as a two-stage decision-making process: in the first stage, the firms deal with the decision about whether to innovate or not whereas, at the second stage, the firms that have decided to innovate must make a decision about the degree of radicalness of the innovation to undertake. In a context where empirical investigations regarding the relations between social capital and innovation are still scanty, this paper makes contributions to the advancement of knowledge in providing new evidence regarding the impact and the extent of social capital on innovation at the two decision-making stages considered in this study. Regarding the decision to innovate or not that firms must initially make, we have provided strong evidence that diverse forms of social capital influence this decision and, more importantly, that marginal increases in social capital, especially in social capital taking the forms of participation assets and relational assets, contribute more than any other explanatory variable to increase the likelihood of innovation of firms. As for the decision to be made at the second stage concerning the magnitude of radicalness to bring in the development of new product or process innovations, this paper contributes to the advancement of knowledge by supplying the strongest evidence that diverse forms of social capital determine the radicalness of innovation, and more importantly, that social capital taking the form of research network assets contributes more than any other explanatory variable to explain the radicalness of innovation. The second variable that exerts the strongest impact on the radicalness of innovation is the number of different advanced technologies employed by firms for production.