基于XML的B2B电子商务构架

电子商务通过基于因特网事务自动化提高了企业业务处理效率和可靠性。目前主要有两种类型电子商务：企业对客户型（Business-to-Consumer简称B2C）、企业对企业型（Business-to-Business简称B2B）。B2C参与的对象只是企业和单个的用户，其实现相对容易；但是对于B2B，情况就不一样，因为B2B涉及到多个不同规模企业的参与，要参与企业之间的商务活动，同时还需要与企业内部信息系统（如ERP系统）相连接，保证这些企业能通过因特网实现自动交互。

基于SP95标准的工厂模型设计与建模方法研究

为解决当前数字化工厂模型所存在的实时性不强和集成性不足等问题,提出了使用管控系统间集成通用标准--SP95标准进行数字化工厂建模。在应用SP95标准对工厂模型进行定义和描述的基础上,结合国内离散企业中的实际情况,提出了一种扩展的工厂模型。该模型在SP95标准的基础上扩展了料架和变量两个元素,并介绍了其实现方式和作用。通过SP95标准提供的功能,扩展了基于可扩展标记语言技术的制造标记语言的Schema结构,为业务系统集成提供统一的数据共享格式。最后给出了一个构建工厂模型的实例,验证了所提出的模型。

道德强度对企业道德决策的影响及作用机制

Moral decision-making in business means the decisions involved in moral issues in business context. Moral intensity is a construct that captures the extent of issue-related moral imperative in a situation, which is one of the most important factors in the study of moral decision-making in business. Based on Issue-Contingent Model, the present study investigated the influence of moral intensity on moral decision-making in business (including moral recognition, moral judgment, and moral intent in the present study), and further focused on exploring the mechanism of moral intensity in moral decision-making in business. Recently, the studies in decision-making gave more emphasis to the role of emotions. The present study tried to include empathy into moral decision-making in business to explore the role of empathy in the relationship between moral intensity and moral decision-making in business, which would enrich and extend Issue-Contingent Model. The present study would also make up for a deficiency in the study of moral decision-making in business that overemphasized the rational reasoning and neglected the role of emotions. There were three parts in the present study. Firstly, study 1 replicated the former study and explored the relationship between perceived moral intensity and moral decision-making in business in China by questionnaire method. Secondly, study 2 focused on exploring the influence of the components of moral intensity on moral decision-making in business and empathic response by experimental method. Finally, study 3 explored the role of empathy in the relationship between moral intensity and moral decision-making in business. The results indicated that, 1.Perceived moral intensity was the significant predictor for moral decision- making in business. 2.Magnitude of consequence, social consensus, and probability of effect had significant effects on moral decision-making in business. Magnitude of consequence and probability of effect could influence empathic response significantly. 3.Empathic response played the role of mediator between moral intensity and moral decision-making in business. Empathic response completely mediated the relationship between moral intensity and moral recognition. Empathic response partly mediated the relationship between moral intensity and moral judgment, moral intent. Further analysis indicated that probability of effect and magnitude of consequence relied more on empathic response than social consensus to influence moral judgment and moral intent. Dispositional empathy could influence moral decision-making in business through perceived moral intensity and empathic response. 4.Controlled empathic levels could influence moral decision-making in business significantly. Empathic levels influenced the effect of probability of effect on moral decision-making in business, and did not influence the effect of magnitude of consequence and social consensus on moral decision-making in business. These findings not only contribute to enrich the models of moral decision- making in business, but also have significant practical applications in the training of moral decision-making in business.