企业通过联盟进行隐性知识转移的三阶段模型

本文针对隐性知识的特征及知识在联盟中转移的过程和特点,建立了企业通过联盟进行隐性知识转移的微分动力学模型,在此基础上,进一步分析了影响联盟隐性知识转移的渐近解的主要参数控制.模型揭示了联盟中隐性知识转移的规律,指出了企业获得联盟中隐性知识的条件及隐性知识在联盟企业中传播的条件,同时也阐明了一些能改进隐性知识转移效果的途径,文中最后还分析了模型对联盟中知识管理的现实意义.     

广告竞争模型中的混沌同步特性分析

提出一个基于V - W销售广告反应模型的二维离散广告竞争动态模型. 在两家卖主竞 争的市场中,企业可以生产相互替代的商品,运用广告促销吸引顾客,提高销量. 在V - W模型 的基础上,把广告投入作为控制量,采用线性反馈控制,通过数学分析和数值计算,得出模型中 两个状态变量在一定参数下混沌同步. 并且对混沌同步的稳定性进行了分析     

The dynamic development of gender variability

We diagram and discuss theories of gender identity development espoused by the clinical groups represented in this special issue. We contend that theories of origin relate importantly to clinical practice, and argue that the existing clinical theories are under-developed. Therefore, we develop a dynamic systems framework for gender identity development. Specifically, we suggest that critical aspects of presymbolic gender embodiment occur during infancy as part of the synchronous interplay of caregiver-infant dyads. By 18 months, a transition to symbolic representation and the beginning of an internalization of a sense of gender can be detected and consolidation is quite evident by 3 years of age. We conclude by suggesting empirical studies that could expand and test this framework. With the belief that better, more explicit developmental theory can improve clinical practice, we urge that clinicians take a dynamic developmental view of gender identity formation into account.     

教育动态论的哲学观照

教育是一个动态的发展过程,具有不可逆转的动态规律。教育又是一个系统的动态结构,既有整体的联系又有具体的动态结构的联系。教育的动态发展是由社会价值主体的需要来决定,并受社会发展的制约,社会的发展决定教育的发展也决定教育的形式。     

动态语境与话语选择

语境与话语分析的研究从传统单一的语境特征描述开始,经历了从一元到多元的发展过程,但都没有突破静态的研究,即只强调话语的情景场所,而忽视了话语参与者在每个话轮情景中的改变。Sperber和Wilson提出的关联理论从理据上阐明了动态语境研究的合理性,注重话语理解过程的语境变化。本文立足于认知语言学理论,通过研究动态的语境观察对话语选择的影响,从实践上证明话语的选择取决于不断变化着的语境,这也为话语人际意义的研究提供了更直接的分析途径。     

A note on adaptive l-statistics

The purpose of this note is to give a simple demonstration of the apparently widely-known principle that, under suitable conditions (primarily of a symmetry nature) an adaptive L-sta-tistic has the same asymptotic distribution as a non-adaptive L-statistic.     

野生动物资源最优管理的动态经济模型及实证研究

研究自然条件、社会发展和经济政策等多方面对野生动物资源管理的约束与系统分析野生动物资源管理的动态经济均衡,对于野生动物保护管理具有十分重要的理论支持和实践指导。在自然条件方面,以开放生物种群资源生长的Logistic增长模型作为约束条件;在社会发展方面,考虑产业资本投入的影响;在经济政策方面,以税收或补贴为约束条件,运用成本收益分析建立野生动物资源持续利用的动态经济均衡模型,并利用常微分方程、最大值原理等数学方法求解得到最优资源存量水平和最优收获量。同时以麝为例进行应用性实证分析,得到麝类资源的最优种群水平为143．01万只,最优持续收获量为66．24万只。当贴现率从0．01到0．1之间变化时,麝类资源最优种群水平将在149．93到134．36万只之间,而最优持续产量将维持在66．44到65．59万只之间。     

议价能力对审计定价的影响——基于双边随机边界模型的分析

审计收费中的最终价格确定是审计双方博弈的结果。使用双边随机边界模型分析框架分析审计收费中的定价,以及审计双方议价能力对审计定价的影响。结果发现:事务所的议价能力使得审计收费比理论均衡价格高出大约24.02%,上市公司的议价能力使得审计收费比理论均衡价格低了大约17.29%,两者的最终博弈结果使得中国审计收费比均衡价格高大约6.73%,中国事务所审计收费存在一定的高收费现象,事务所对大规模企业有收费溢价,2006年后,国际四大事务所存在高收费溢价现象。     

A unified approach to marginal equivalence in the general framework of group invariance

ABSTRACT

Two Bayesian models with different sampling densities are said to be marginally equivalent if the joint distribution of observables and the parameter of interest is the same for both models. We discuss marginal equivalence in the general framework of group invariance. We introduce a class of sampling models and derive marginal equivalence when the prior for the nuisance parameter is relatively invariant. We also obtain some robustness properties of invariant statistics under our sampling models. Besides the prototypical example of v-spherical distributions, we apply our general results to two examples—analysis of affine shapes and principal component analysis.     

Forecasting the industrial production using alternative factor models and business survey data

This paper compares the forecasting performance of three alternative factor models based on business survey data for the industrial production in Italy. The first model uses static principal component analysis, while the other two apply dynamic principal component analysis in frequency domain and subspace algorithms for state-space representation, respectively. Once the factors are extracted from the business survey data, then they are included into a single equation to predict the industrial production index. The forecast results show that the three factor models have a better performance than that of a simple autoregressive benchmark model regardless of the specification and estimation methods. Furthermore, the state-space model yields superior forecasts amongst the factor models.