技术学习——企业技术能力演进的分析框架

企业技术能力的演进是一个技术学习过程,本文对技术能力和技术学习的基本内涵进行了分析和探讨,并提出了一个企业技术能力发展决定因素和机制的分析框架。我们认为,为获取技术能力发展所需要的知识和技能,技术学习需要整合三个维度的知识学习:个人学习与组织学习,内部知识学习与外部知识学习,以及显性知识与隐性知识的学习。因此,企业技术学习应该包含以下四个子过程:外部知识获取、内部知识获取、知识编码化以及知识社会化。由于这四个过程所获取的知识来源,性质不同,为完成这些子过程所需要的资源和机制也各不相同。通过对各个子学习过程决定因素和机制的分析识别,综合起来,我们为分析企业技术能力获取的决定因素和内部机制提供了一个基本理论框架。     

The convergence of least squares learning in stochastic temporary equilibrium models

Summary. This paper provides conditions for the almost sure convergence of the least squares learning rule in a stochastic temporary equilibrium model, where regressions are performed on the past values of the endogenous state variable. In contrast to earlier studies, (Evans and Honkapohja, 1998; Marcent and Sargent, 1989), which were local analyses, the dynamics are studied from a global viewpoint, which allows one to obtain an almost sure convergence result without employing projection facilities. Received: April 7, 2001; revised version: September 5, 2001     

Cost Uncertainty and Unilateral Abatement

Unilateral abatement is sometimes advocated in order to set a good example that will make other countries follow. The aim of this paper is to investigate whether existence of correlated cost uncertainty provides an incentive for a country to undertake unilateral abatement. The theoretical model is driven by two main mechanisms; first, a learning effect, as the follower country might reduce its risk premium as it can observe the cost level in the leader country. Second, there is the public good effect, i.e., the marginal benefit of abatement declines when abatement is a public good and other countries contribute to pollution reductions. Results shows that unilateral abatement would be efficient in reducing uncertainty about the unit costs of abatement if a country with low cost uncertainty would undertake abatement first, while a country with initially high cost uncertainty would follow. However, countries may prefer to act simultaneously because of the larger uncertainties that are inherent in a sequential game.      

关于非英语专业高职学生学习自主性问题的探讨

本文通过对某高职院校非英语专业学生英语学习的自主性、元认知、兴趣、动机、自信度、焦虑度测试的分析研究表明:英语学习的自主性和性别及英语的学习成绩、兴趣、动机、自信度有非常显著的正相关性,而和英语学习元认知没有相关性,同时和英语学习焦虑度有非常显著的负相关性,从而为构建有效的培养英语学习自主性的教学模式提供依据,并就此提出若干提高学生英语学习自主性的建议。     

日语教学中的母语语法问题

在学习和掌握母国语言的过程中,到底要不要学习语法?语法在外语教学与学习中起什么作用?母语的语法对外语学习有什么帮助?我们在《日语精读》课教学中发现,现在的许多大学生对汉语语法知识非常贫乏,对句子的语法成分不清楚。这种汉语语法知识的贫乏,直接导致学生对外语语法体系理解的困难,从而使外语教学的质量低、效率不高、效果不大。因此,笔者觉得有必要制定新的教育方针,加强母语语法的教学与研究,使得语法在教师的外语教学与学生的外语学习过程中发挥更大的作用。     

对我国医药企业自主创新演化机制的分析

自主创新是当前商业界和学术界研究比较热的话题。政府相应地制定了一系列的政策和法规来鼓励企业进行自主创新。在这种背景下,我国的医药企业也积极响应国家的政策进行自主创新。然而,医药企业创新在实际操作中的行动方向差异很大。针对这种差异,笔者将医药企业创新划分成新功能创新和新设计创新两种,并且通过对一系列的数据和资料分析后,发现我国的医药企业的创新并非实质上的自主创新即新功能创新,而是新设计创新。文中对产生这种局面的演化机制进行了分析。     

供应链分销系统奖金优化与仿真分析

研究由多个制造商与一个零售商组成的分销系统，他们以各自的利润最大化为目标，制造商给零售商提供奖金激励，零售商提供对应于奖金激励的服务水平，制造商需要进行为零售商提供多大奖金激励的决策。利用强化学习的启发式学习算法来优化制造商应提供的最优奖金激励。     

知识联盟"学习赛跑"的影响因素分析

通过分析影响知识联盟知识转移的各种因素和联盟动态演进的过程,重新定义了知识联盟成功的含义,并根据“学习赛跑”的理论模型讨论了知识联盟演进过程中各类影响因素的作用,给出了研究知识联盟动态演进过程的因素分析模型,为研究知识联盟提供了新的思路和方法。     

评价指标体系在经济责任审计中的应用

将评价指标体系应用于经济责任审计可避免审计的随意性和不同审计人员审计的不一致性,本文以高等院校为主体从合法合规性、效益性、目标性等方面设计了经济责任评价指标体系。     

Social learning with private and common values

Summary. We consider an environment where individuals sequentially choose among several actions. The payoff to an individual depends on her action choice, the state of the world, and an idiosyncratic, privately observed preference shock. Under weak conditions, as the number of individuals increases, the sequence of choices always reveals the state of the world. This contrasts with the familiar result for pure common-value environments where the state is never learned, resulting in herds or informational cascades. The medium run dynamics to convergence can be very complex and non-monotone: posterior beliefs may be concentrated on a wrong state for a long time, shifting suddenly to the correct state.Received: 6 January 2005, Revised: 5 May 2005, JEL Classification Numbers: C72, D82.Jacob K. Goeree: Correspondence toFinancial support from the National Science Foundation NSF (SBR-0098400 and SES-0079301) and the Alfred P. Sloan Foundation is gratefully acknowledged. We thank Richard McKelvey posthumously for insights and conjectures about information aggregation that helped shape our thinking about the problem. We also acknowledge helpful comments from Kim Border, Tilman Börgers, Bogachen Celen, Luis Corchon, Matthew Jackson and seminar participants at University College London, the University of Arizona, Universitat Autonoma de Barcelona, the California Institute of Technology, the 2003 annual meeting of ESA in Pittsburgh, the 2003 Malaga Workshop on Social Choice and Welfare Economics, the 2003 SAET meetings in Rhodos, and the 2003 ESSET meetings in Gerzensee.