供应链合作及其契约研究

供应链合约是影响供应链整体绩效的重要因素,已引起众多学者的关注。本文对供应链合作进行了博弈分析,得出了不同合约下的均衡结果及相关结论,同时通过两种合约的比较探讨了利益共享合约的优越性。最后,文章也介绍了订立合约的影响因素及方法。     

纵向沟通中隐性信息获取的激励兼容机制研究

下属隐性信息的获取是确保上级决策者有效决策的一个重要基础,现有的研究未能解决隐性信息获取的效率与预算平衡的两难问题。本文通过确认决策者的作用,在分析模型中引入决策者成本,并借鉴政府征收“所得税”的思路,不仅解决了隐性信息获取的真实性,而且解决了原有方案未能同时兼顾的预算平衡、利润最大化以及向下属转移损失等问题。     

水库移民分享水电工程效益的制度逻辑、 实践困境及破解之道

水库移民分享水电工程效益旨在促成显性工程效益和隐性发展机遇实现跨地域、跨组织、跨主体的公平配置。 作为水库移民的应然权利,利益分享既符合公正补偿的制度逻辑,更彰显共商共建共赢的发展理念,但目前补偿救济色彩较重、市场导向偏弱,并存在后靠移民发展权利及机遇隐性被动减损、外迁移民脱嵌于迁出地及受益地发展红利、非农移民缺乏系统保障等实践困境,其原因在于水电工程综合效益量化难度大、参与主体关系地位不对等、执行管理机构人员配置短缺。 因此应健全水电工程效益分享协同管理机制,鼓励水电企业履行社会责任,优先助力贫困水库移民脱贫,灵活渐进地实现水库移民分享工程效益实践机制的稳步定型和有序推广。     

大数据时代国防动员潜力调查之路

如何应用大数据提升国防动员潜力调查的效率是当前政府重点关注的话题。从国防动员潜力大数据的定义和特征着手,分析大数据下国防动员潜力调查所具备的优势,发现仍然存在思维局限、指标不统一、体制不健全、技术缺乏及数据共享与防护难协同等困境。通过思维意识、管理体制、指标体系、核心技术、专业人才、安全共享等六大模块,打破“数据不可用、数据不会用”的现实瓶颈,实现整合国防动员数据资源、延展数据内容和提高工作效率的目标。     

Persuasion: An experimental study of team decision making

This paper studies persuasion within teams and investigates why teams commonly take, by some measures, better decisions than individuals. The analysis is based on data from electronic communication within teams of two players. Thanks to the experimental design, changes of an individual’s decision can be attributed to the content of the team partner’s message. The results for knowledge-related and strategic problems show that individuals’ decisions change upon receiving more informative and sophisticated arguments and remain the same otherwise. This individual behavior is an essential part of the information aggregation in teams and can explain the advantage of teams in decision making and in games.     

信息共享空间的构建与创新服务——以河北工程大学图书馆为例

信息共享空间是近几年发展起来的一种新生事物，给传统的图书馆服务模式带来了严峻的挑战，以河北工程大学图书馆信息共享空间建设为例，分析了实体层和虚拟层两个层面建设的内容，介绍了信息共享空间的创新服务，并就信息共享空间的深层次服务提出了对策建议。     

财务共享服务与企业竞争力的关系——基于双重差分模型的实证检验

从分析财务共享服务效果的视角出发，以市场结构、基础资源和新能力理论为依据，建立了评价企业竞争力的财务指标体系。研究结果显示：在市场地位方面，实施财务共享服务增强了企业资金管控效果，使营业收入质量提高，但是营业收入增长率却呈现负增长，说明财务共享服务对市场拓展能力的影响具有延迟效应；在资金资源方面，财务共享服务提高了企业的资金筹措能力和偿债能力，风险控制能力增强，使企业获得资金资源竞争优势；在企业能力方面，财务共享服务能够降低成本、增加绩效，更好地服务企业战略，提升企业的盈利能力和创新能力。总之，实施财务共享服务能够促使企业财务管理转型升级，为未来发展赢得先机，可增强企业竞争力。     

Some Results Based on a Version of the Generalized Dynamic Entropies

We propose new dynamic measures of uncertainty based on the notion of generalized dynamic entropy introduced in Di Crescenzo and Longobardi (2006). These can uniquely determine distribution functions in continuous and discrete cases, and the characterizations of some well-known distributions are provided. We also define some orderings and aging notions based on the generalized dynamic measures, and prove some of their properties, obtaining as corollaries results that have recently appeared in the literature.     

Flood Catastrophe Model for Designing Optimal Flood Insurance Program: Estimating Location‐Specific Premiums in the Netherlands

As flood risks grow worldwide, a well‐designed insurance program engaging various stakeholders becomes a vital instrument in flood risk management. The main challenge concerns the applicability of standard approaches for calculating insurance premiums of rare catastrophic losses. This article focuses on the design of a flood‐loss‐sharing program involving private insurance based on location‐specific exposures. The analysis is guided by a developed integrated catastrophe risk management (ICRM) model consisting of a GIS‐based flood model and a stochastic optimization procedure with respect to location‐specific risk exposures. To achieve the stability and robustness of the program towards floods with various recurrences, the ICRM uses stochastic optimization procedure, which relies on quantile‐related risk functions of a systemic insolvency involving overpayments and underpayments of the stakeholders. Two alternative ways of calculating insurance premiums are compared: the robust derived with the ICRM and the traditional average annual loss approach. The applicability of the proposed model is illustrated in a case study of a Rotterdam area outside the main flood protection system in the Netherlands. Our numerical experiments demonstrate essential advantages of the robust premiums, namely, that they: (1) guarantee the program's solvency under all relevant flood scenarios rather than one average event; (2) establish a tradeoff between the security of the program and the welfare of locations; and (3) decrease the need for other risk transfer and risk reduction measures.