面向巴塞尔新资本协议的自优化神经网络信用评估方法

巴塞尔新资本协议中对信用风险评估使用的数据作了明确规定,而我国银行业目前所积累的数据还不能达到协议的要求;立足于我国银行业的现状,在新协议框架范围内探索可行的信用评估方法.对原有神经网络算法加以改进,提出自优化神经网络方法,该方法能较好地适应时变数据和自动优化神经网络评估模型,用真实的客户信用数据试验也表明该方法比普通神经网络有较高的准确性.     

Longitudinal Analysis of Inhibitors of Manufacturer Delivery Performance

This article examines demand, manufacturing, and supply factors proposed to inhibit manufacturer delivery execution. Extant research proposes many factors expected to harm delivery performance. Prior cross‐sectional empirical research examines such factors at the plant level, generally finding factors arising from dynamic complexity to be significant, but factors arising from detail complexity to be insignificant. Little empirical research examines the factors using product‐level operating data, which arguably makes more sense for analyzing how supply chain complexity factors inhibit delivery. For purposes of research triangulation, we use longitudinal product‐level data from MRP systems to examine whether the factors inhibit internal manufacturing on time job rates and three customer‐oriented measures of delivery performance: product line item fill rates, average delivery lead times, and average tardiness. Our econometric models pool product line item data across division plants and within distinct product families, using a proprietary monthly dataset on over 100 product line items from the environmental controls manufacturing division of a Fortune 100 conglomerate. The data summarize customer ordering events of over 900 customers and supply chain activities of over 80 suppliers. The study contributes academically by finding significant detail complexity inhibitors of delivery that prior studies found insignificant. The findings demonstrate the need for empirical research using data disaggregated below the plant‐level unit of analysis, as they illustrate how some factors previously found insignificant indeed are significant when considered at the product‐level unit of analysis. Managers can use the findings to understand better which drivers and inhibitors of delivery performance are important.     

东方管理学的创建与发展：渊源、精髓与框架

东方管理学是扎根于中华文化,融合东西方管理精华的当代管理新理论。经30余年的探索,已形成了独具特色的体系结构。在简要概述东方管理学体系形成的3个阶段的基础上,阐述了东方管理理论的渊源,以及“以人为本、以德为先、人为为人”的精髓,并详尽地介绍了东方管理学的体系框架——学、为、治、行、和。     

基于创新导向的风险投资领域公共政策

风险投资对促进创新活动具有重要作用,然而风险投资的健康发展需要政府公共政策的干预。为此从公共政策、风险投资与创新三者之间的关系入手,从创新的需求和供给角度建立模型,分别研究了创新产品市场和风险投资市场,并运用均衡分析方法研究了整个市场的均衡状态,根据社会效用最大化目标,分析政府最优公共政策组合及其对社会福利的影响。因此,这种最优政策工具组合可供政府制定相关政策时参考。     

生命周期下技术转让价格的特征分析

立足于生命周期理论,从动态的角度描述了影响技术转让价格的研究开发成本、技术收益、风险和市场供求关系等因素随技术生命周期的变化,据此分析技术生命周期中创新、成长、成熟和衰退四个阶段转让价格的特征,给出了技术转让价格随生命周期变化的总趋势。     

感知实绩、顾客满意与顾客忠诚--微观层次上的审视

最近几十年来,对顾客满意-企业利润之间关系的认识不断深化,使得对顾客满意的研究得到了很大的发展.其中,顾客忠诚被认为是顾客满意影响企业利润的中介.然而,对于顾客满意影响顾客忠诚的微观过程,目前缺乏一致的结论.我们采用声誉、重复消费意向和推荐他人消费意向作为中间变量,对顾客感知实绩、满意和忠诚之间的因果联系进行了实证研究.结果表明,顾客满意同顾客忠诚之间并无直接的因果联系,因此,企业在制定市场份额策略时,不应该仅局限于提高感知实绩和顾客满意的范畴,而应从多个角度出发来提高顾客忠诚.     

关于纤维化之间的映射

本文得到了两个纤维化之间的态仍成为纤维化的一个条件,并证明了纤维化的Whitney和、纤维连接仍是纤维化。     

乡村振兴视域中的农民主体作用、制约因素及路径选择——基于湖南岳阳乡村的调查与思考

农民是农业和农村的主体,也是乡村振兴的内生因素,发挥农民主体作用对实施乡村振兴战略意义重大。当前农民对乡村振兴关注度和支持度较高,农民的主体作用发挥成为乡村振兴的根本动力。但现实中,农民主体作用也受到诸如农业综合效益较低、农民自身思想文化和能力素质不高、管理机制滞后及基础条件薄弱等多方面的因素制约,需要党委、政府综合施策,采取完善乡村治理、健全政策扶持、建立引导机制、补齐短板缺陷、加强培育培训等一系列政策措施,尊重、引导、激励和支持农民自我管理、自我发展,激发农民的主动性、积极性、创造性。     

On a system of nonhomogeneous components sharing a common frailty

The components of a reliability system subjected to a common random environment usually have dependent lifetimes. This paper studies the stochastic properties of such a system with lifetimes of the components following multivariate frailty models and multivariate mixed proportional reversed hazard rate (PRHR) models, respectively. Through doing stochastic comparison, we devote to throwing a new light on how the random environment affects the number of working components of a reliability system and on assessing the performance of a k-out-of-n system.     

Jackknife empirical likelihood tests for distribution functions

It has been a long history for testing whether the underlying distribution belongs to a particular family. In this paper, we propose some jackknife empirical likelihood tests via estimating equations. The proposed new tests allow one to add more relevant constraints so as to improve the powers. A simulation study shows the effectiveness of the new tests.