基于混合策略纳什均衡的委托代理问题分析

在现代公司中,处于各权力关系中心的是所有者和经营者,委托代理问题是现代公司治理的核心问题,即所有者行为人对经营者的监督以及激励则是公司治理的核心和关键。从委托人对代理人监督的角度出发,利用博弈论的方法建立模型,二者之间的分析关系及其相关因素,其结论为公司治理目标是减低所有者的监督成本,使经营者以股东利益最大化为目标的概率越大越好。     

烯基琥珀酸酐（ASA）用于中性造纸施胶剂施胶性能及应用趋势

烯基琥珀酸酐(ASA)应用于中性造纸施胶可改变我国传统的松香酸性施胶效果和性能,显著提高纸张的防水性、拉力强度,增加纸张的耐磨性和白度,可生产出能长期保存的高质量纸张,并可以保护造纸设备和环境。     

基于博弈论的代建制研究

政府投资项目采用代建制的模式,实现了项目的专业化管理,有利于提高项目的投资效益。针对代建制实施的特点,运用博弈论的相关知识,依次建立了2 个模型 —— 激励相容约束模型和效率工资模型,并通过数学推理得到若干有益结论。     

中国轿车企业分销渠道管理问题解析

中国加入WTO,轿车工业面临着严峻的挑战。文章结合目前中国轿车企业在分销渠道管理中所存在的问题,提出了解决现存问题,加强轿车生产企业分销渠道管理的若干对策。     

.NET远程处理构架及分布式对象处理

Microsoft○R.NET远程处理为在不同的应用域(AppDomains)、不同的进程和不同计算机中活动的对象的交互提供了系统框架支持,使其相互之间能够进行畅通无阻的通信。分布式对象处理(Remoting)依托 NET远程处理框架运行库及编程模型的支持,使得分布式对象处理变得异常简捷透明。本文探索了可利用的 NET远程处理方案,并详细探讨了分布式对象的处理实例。     

新制度经济学委托代理理论视野的拓展*

新制度经济学中的委托代理理论基于“经济人理性”假定,设计出了精密、精巧、精致的委托代理制度,有效化解了现代企业中委托人与代理人之间利益冲突并提升了企业运营效率。然而,现代企业实践已经证明,即使委托代理制度十分精密、精巧、精致,仍然没有彻底解决委托人与代理人之间的利益冲突和企业运营效率进一步提升问题。因此,必须拓展既有理论视野,从“经济人理性”假定拓展到“经济人+社会人+家庭人复合理性”假定,这样就能够实现委托代理理论视野的拓展。运用新制度经济学研究方法和双边对称信任数理模型表明：基于委托代理制度,进一步强化委托人与代理人之间双边对称信任度,可以进一步化解他们之间的利益冲突并且改善企业运营效率。基于这一结论,强化委托人与代理人之间双边对称信任度的具体路径是优化社会信任环境系统。     

贸易保护政策的动态不一致性 ——以我国出口退税政策为例

本文从企业与政府之间博弈的视角,揭示贸易保护政策的动态不一致性问题。理论分析表明,在理性预期与信息不对称的假设前提下,政府在与私人企业的博弈中,往往处于劣势地位,容易受企业行为的牵引,其结果将导致贸易保护政策的动态不一致性。本文以我国出口退税政策的实施作为上述论断的经验证据,结果表明,出口企业的策略性行为可能是导致我国出口退税政策频繁变动的内在原因之一。     

牛胎盘中免疫调节因子的提取过程研究

采用盐析、膜技术及冷冻干燥等手段从牛胎盘中分离提纯了免疫调节因子,并通过大鼠实验验证了提取物的生物活性,效果显著。最佳工艺条件:盐析温度为0℃,pH值为5,转速为6 000r/min,冷冻干燥时间为24 h。在此条件下免疫调节因子提取率为0.673%。     

Deposit AI as the “invisible hand” to make the resale easier: A moderated mediation model

While existing works pay little attention to price setters and the application of artificial intelligence (AI) agents in second-hand trading, the current research examines whether, and how, price setter (AI VS. seller)affects buyers' willingness to pay (WTP)in the case of second-hand trading on P2P platform. 25 interviews and 3 online studies have been conducted to demonstrate the results: (i) compared with goods priced by sellers, buyers are more willing to pay for goods priced by platform AI (Studies 1&2), (ii) buyers' perceived objectivity mediates the relationship between price setter and buyers' WTP (Study 2), (iii) perceived reductionistic of AI eliminates the effect of price setter on WTP (Study 3), and (iv) augmented intelligence (vs. AI)can have equal effect on buyers’ WTP (Study 4). These findings offer considerable implications for practitioners on how to build an AI pricing agent that is superior to humans on P2P second-hand trading platforms while ensuring the well-being of platform traders.     

What do customers expect of travel agent–customer interactions? Measuring and improving customer experience in interactions with travel agents

ABSTRACT

The purpose of this study is to explore what customers expect of travel agent–customer interactions by developing a scale of customer service experience; further, a framework to demonstrate how to improve customer service experience derived from interactions with travel agents is proposed. The results indicate that the indirect effect of travel agent interpersonal competencies on word-of-mouth is not through cognitive customer service experience but rather through affective customer service experience. Also, the indirect effect of travel agent professional competencies on word-of-mouth is not through affective customer service experience but rather through cognitive customer service experience.