基于适应性商务智能的虚拟企业合作伙伴选择模型

合作伙伴选择是虚拟企业运行中至关重要的问题。迅速而准确地找到合适的合作伙伴并实现协调运作，直接影响到虚拟企业合作绩效和整体目标的实现。文章将环境感知和适应性商务智能理论引入虚拟企业合作伙伴选择中，提出了基于适应性商务智能的虚拟企业合作伙伴选择模型，设计了模型的基本架构，分析了模型的构成模块，探讨了模型的应用机理。     

刍议虚拟财产的法律保护

随着网络,尤其是网络游戏的迅猛发展,虚拟财产的交易及其保护引发了是否要对其加以保护,如何进行保护,如何进行规范等一系列问题,在我国的司法实践中已经不得不开始面对这类纠纷的裁判,而在法律上有关虚拟财产的规则尚处于不确定的空白,给这类纠纷的解决带来了很大的障碍,基于此,进行虚拟财产特性、交易等等相关法律问题的研究,并在探讨其合法性的前提下,进一步论证虚拟财产的法律保护规则的建构具有十分重要的理论意义与现实意义。     

基于协整分析的东北区域产业结构优化与金融支持关系研究

基于1978—2003年的统计数据,采用协整关系检验法和格兰杰(Granger)因果检验法对东北地区金融发展与产业结构优化之间的关系进行了实证检验。分析结果表明东北区域产业结构优化与金融发展之间存在长期动态均衡关系及单向因果关系,即金融发展对东北区域产业结构优化具有支持作用,从而为政府经济决策提供了政策依据。     

对中国形成世界制造中心进程的冷思考

改革开放以来，我国迅速成为制造业大国，但还远远不是制造业的世界中心。只有认清我国制造业存在的预期利润低、结构不合理、产业链的低端定位、边际效应递减、研究与开发费用不足以及教育结构对制造业的瓶颈效应等问题，并对症下药，才能将我国的制造业真正做大做强。     

E-Consulting in Virtual Negotiations

In the e-world where many of us live and work, virtual work arrangements will become increasingly commonplace. This paper reports on an exploratory study into the way in which consultants can ply their trade virtually with clients whom they never meet. US-located e-consultants provided advice to Hong Kong-located web site developers on the interface and content aspects of a website that was being developed for an international audience. Extensive analyses of the communication between the consultants and developers is undertaken, in parallel with an analysis of survey data obtained from the two sets of stakeholders. Lessons are drawn for future research and practice.     

Regional job-turnover and industrial policy. a note on a potential time pattern of regional industrial policies and their job effects - the case of the german city-state of bremen

Many regions have experienced long-run economic fluctuations generated by the life cycles of their dominant industrial clusters. During the downswings in the 1970s and 1980s, proactive structural policies were typically launched in German regions to combat job losses in their core clusters and to create new jobs in new industries. With respect to the German State of Bremen, this paper provides empirical evidence of: (1) a long-run regional downswing; (2) the potential job effects of proactive regional industrial policy programmes in terms of increasing regional employment, by safeguarding jobs in the regional core industries and creating new jobs in new growth industries; and (3) a time pattern in the job effects, which are related to the different generations of programmes.     

长白山区发展效益农业的对策

本文在分析长白山区资源优势和生态环境特征的基础上，明确了发展生态环保型效益农业的基本思路和主导产业，提出了实施生态环保型效益农业的对策。     

推进西部大开发亟待全面深化对内开放

要实现西部大开发的伟大战略构想,改变西部经济落后面貌,缩小东西部差距最终实现西部地区的经济现代化,市场化和国际化,亟待全面深化对内开放,打破地区封锁,建立统一开放竞争有序的国内大市场,优化资源配置,调整产业结构,发挥区域优势,东西部进行合理分工,增强企业竞争力,使西部的发展融入全国全球的经济体系中.     

工业园区的物流建设

通过对我国工业园区的介绍,按物流活动特点对工业园区进行分类;介绍了我国工业园区的物流状况并提出提高园区物流水平的建议。     

Robustness issues in multilevel regression analysis

A multilevel problem concerns a population with a hierarchical structure. A sample from such a population can be described as a multistage sample. First, a sample of higher level units is drawn (e.g. schools or organizations), and next a sample of the sub‐units from the available units (e.g. pupils in schools or employees in organizations). In such samples, the individual observations are in general not completely independent. Multilevel analysis software accounts for this dependence and in recent years these programs have been widely accepted. Two problems that occur in the practice of multilevel modeling will be discussed. The first problem is the choice of the sample sizes at the different levels. What are sufficient sample sizes for accurate estimation? The second problem is the normality assumption of the level‐2 error distribution. When one wants to conduct tests of significance, the errors need to be normally distributed. What happens when this is not the case? In this paper, simulation studies are used to answer both questions. With respect to the first question, the results show that a small sample size at level two (meaning a sample of 50 or less) leads to biased estimates of the second‐level standard errors. The answer to the second question is that only the standard errors for the random effects at the second level are highly inaccurate if the distributional assumptions concerning the level‐2 errors are not fulfilled. Robust standard errors turn out to be more reliable than the asymptotic standard errors based on maximum likelihood.