Capturing the broader picture of value co-creation management

The interactional, interdependent, and dynamic nature of value co-creation has made value management in business relationships a particularly challenging issue for both academicians and practitioners. In addition, studies on this topic have mostly focused on managing value co-creation in isolation from the wider relational context without completely capturing the influence of other value processes on value co-creation. This paper examines the broader picture of value co-creation management by providing a model based on interlinked value processes, namely, value communication, value appropriation, value measurement, and value representation. We adopted a qualitative approach based on 86 interviews with managers of both customer and supplier companies, which operated in different industries. Results showed that the management of value co-creation implies considering complex patterns of interconnections with other value processes. In particular, the study will shed light on the centrality of value appropriation to co-create value and on the importance of value representation to coordinate ideas and enable future co-creation opportunities.     

A new financial stress index model based on support vector regression and control chart

Financial stress index (FSI) is considered to be an important risk management tool to quantify financial vulnerabilities. This paper proposes a new framework based on a hybrid classifier model that integrates rough set theory (RST), FSI, support vector regression (SVR) and a control chart to identify stressed periods. First, the RST method is applied to select variables. The outputs are used as input data for FSI–SVR computation. Empirical analysis is conducted based on monthly FSI of the Federal Reserve Bank of Saint Louis from January 1992 to June 2011. A comparison study is performed between FSI based on the principal component analysis and FSI–SVR. A control chart based on FSI–SVR and extreme value theory is proposed to identify the extremely stressed periods. Our approach identified different stressed periods including internet bubble, subprime crisis and actual financial stress episodes, along with the calmest periods, agreeing with those given by Federal Reserve System reports.     

“一带一路”沿线国家设施联通对贸易利益的影响

以全球价值链（GVC）参与为视角，基于2005—2015年40个“一带一路”沿线国家与我国的增加值贸易数据，采用静态面板固定效应模型实证分析交通基础设施和通信基础设施对“一带一路”沿线国家贸易利益的影响。结果发现，加强交通和通信基础设施建设有利于提高一国出口中所包含的国内增加值，增进该国的贸易利益。作用机制研究表明，交通基础设施和通信基础设施都能够通过降低贸易成本促进贸易利益的提升，其中通信基础设施还能够通过提高贸易的时间效率对贸易利益产生积极影响。因此，“一带一路”沿线国家应以设施联通为依托，加强本国的交通和通信基础设施建设，把握参与国际生产分工的主动权，以实现共同发展繁荣。     

Statistical testing strategies for assessing treatment efficacy and marker accuracy in phase III trials

When a candidate predictive marker is available, but evidence on its predictive ability is not sufficiently reliable, all‐comers trials with marker stratification are frequently conducted. We propose a framework for planning and evaluating prospective testing strategies in confirmatory, phase III marker‐stratified clinical trials based on a natural assumption on heterogeneity of treatment effects across marker‐defined subpopulations, where weak rather than strong control is permitted for multiple population tests. For phase III marker‐stratified trials, it is expected that treatment efficacy is established in a particular patient population, possibly in a marker‐defined subpopulation, and that the marker accuracy is assessed when the marker is used to restrict the indication or labelling of the treatment to a marker‐based subpopulation, ie, assessment of the clinical validity of the marker. In this paper, we develop statistical testing strategies based on criteria that are explicitly designated to the marker assessment, including those examining treatment effects in marker‐negative patients. As existing and developed statistical testing strategies can assert treatment efficacy for either the overall patient population or the marker‐positive subpopulation, we also develop criteria for evaluating the operating characteristics of the statistical testing strategies based on the probabilities of asserting treatment efficacy across marker subpopulations. Numerical evaluations to compare the statistical testing strategies based on the developed criteria are provided.     

基于信号博弈的卖方欺诈行为分析

本文主要基于信号博弈的卖方欺诈行为进行研究，假设拍卖中可能存在欺诈型和诚实型两种卖家，其中欺诈行为有概率发生在第二价格拍卖中：欺诈型卖方冒充竞拍者递交仅次于最高价的报价从而获得额外收益。两种卖家根据各自效用选择拍卖形式：第一价格或者第二价格。而竞买者将卖者的选择作为信号，更新对卖方类型的判断，然后制定报价策略。这是一个买卖方信号交叉影响的过程。考虑到拍卖过程中买方价值相关性，本文在建立模型中参考了关联价值原理。针对该模型进行分析，得出了不同情况下的买卖方策略，并且研究了买方报价、买方判断、卖方收益三者之间的关系。文中利用贝叶斯公式对双方的策略选择问题进行预测，与单纯的概率分布方法相比，更具实践价值。     

Managing the Risk of Aggressive Dog Behavior: Investigating the Influence of Owner Threat and Efficacy Perceptions

Aggressive behavior in pet dogs is a serious problem for dog owners across the globe, with bite injuries representing a serious risk to both people and other dogs. The effective management of aggressive behavior in dogs represents a challenging and controversial issue. Although positive reinforcement training methods are now considered to be the most effective and humane technique to manage the risk of aggression, punishment‐based methods continue to be used. Unfortunately, there has been little scientific study into the various factors influencing whether dog owners choose to use positive reinforcement techniques to manage aggression in their dogs. As such, current understanding of how best to encourage and support dog owners to use these methods remains extremely limited. This article uses a survey methodology based on protection motivation theory (PMT) to investigate the factors that influence owner use of positive reinforcement methods to manage aggressive behavior, in an attempt to understand potential barriers and drivers of use. In addition, the article provides an initial exploration of the potential role of wider psychological factors, including owner emotional state, social influence, and cognitive bias. Findings show that the perceived efficacy of positive reinforcement methods and the perceived ability of owners to effectively implement the technique are both key factors predicting future intentions and current reported use. Future interventions should focus on enhancing owner confidence in the effective use of positive reinforcement techniques across multiple scenarios, as well as helping owners manage their own emotional responses when they encounter challenging situations and setbacks.     

论“莱西会议精神”对新时期全面深化农村基层党组织建设的价值和意义

农村基层党组织是党在农村的神经末梢,也是党的路线、方针、政策的"终端"推动者和实践者。现阶段农村党组织建设面临新兴组织不断涌现与党组织作用削弱的不适应,"权力和资源缺失"与服务刚性增强的不适应,村民自治进一步发展与群众政治参与欠充分的不适应,群众诉求多样化与满足渠道单一的不适应,部分党员党性不强、意识淡化与始终保持先进性的要求不适应等问题。在加强以党支部为核心的农村基层组织建设的"莱西会议精神"指导下,全面深化农村基层党组织建设:思想上高度认识是前提,加强支部建设是核心,坚持法治、完善村民自治是重点,紧扣服务、创新制度是关键,统筹协调、综合配套是保障。     

Beyond tail median and conditional tail expectation: Extreme risk estimation using tail Lp-optimization

The conditional tail expectation (CTE) is an indicator of tail behavior that takes into account both the frequency and magnitude of a tail event. However, the asymptotic normality of its empirical estimator requires that the underlying distribution possess a finite variance; this can be a strong restriction in actuarial and financial applications. A valuable alternative is the median shortfall (MS), although it only gives information about the frequency of a tail event. We construct a class of tail L^p-medians encompassing the MS and CTE. For p in (1,2), a tail L^p-median depends on both the frequency and magnitude of tail events, and its empirical estimator is, within the range of the data, asymptotically normal under a condition weaker than a finite variance. We extrapolate this estimator and another technique to extreme levels using the heavy-tailed framework. The estimators are showcased on a simulation study and on real fire insurance data.     

论政治冲突的功能

政治冲突的功能理论是政治冲突与整合理论的重要组成部分。由于目前对政治冲突与整合理论的研究非常少,所以作为它的重要组成部分的功能理论研究更为鲜见。本文在历史与逻辑相统一的理论框架下,结合前人的相关论述,特别是重点围绕马克思与L·科塞的观点,对政治冲突的功能:负功能和正功能进行了比较系统地分析。