Media Disaster Reporting Effects on Public Risk Perception and Response to Escalating Tornado Warnings: A Natural Experiment

Previous research has evaluated public risk perception and response to a natural hazards in various settings; however, most of these studies were conducted either with a single scenario or after a natural disaster struck. To better understand the dynamic relationships among affect, risk perception, and behavioral intentions related to natural disasters, the current study implements a simulation scenario with escalating weather intensity, and includes a natural experiment allowing comparison of public response before and after a severe tornado event with extensive coverage by the national media. The current study also manipulated the display of warning information, and investigated whether the warning system display format influences public response. Results indicate that (1) affect, risk perception, and behavioral intention escalated as weather conditions deteriorated, (2) responses at previous stages predicted responses at subsequent stages of storm progression, and (3) negative affect predicted risk perception. Moreover, risk perception and behavioral intention were heightened after exposure to the media coverage of an actual tornado disaster. However, the display format manipulation did not influence behavioral responses. The current study provides insight regarding public perception of predisaster warnings and the influence of exposure to media coverage of an actual disaster event.     

多渠道医疗门诊挂号的时间策略研究

现阶段多种门诊挂号方式并存时，根据患者特性制定不同的等待时间策略尤为重要。本文考虑门诊挂号的三种渠道：直接排队挂号渠道、电话预约挂号渠道与O2O预约挂号渠道。在价格外生前提下，综合考虑患者的渠道偏好程度、时间敏感性与提前支付敏感性，基于效用理论构建患者的渠道选择模型。根据该模型推导得出不同市场条件下医院的需求，医院再据此制定患者的等待时间策略以达到利润最大化的目的。研究发现：当医院仅开通单一挂号渠道时，若患者的时间敏感度越大、渠道偏好程度越小，等待时间均越小；开通某两种挂号渠道时，还需考虑患者对两种渠道的偏好比例，偏好某种渠道的患者比例增加，选择该渠道的患者等待时间增加，选择另一渠道的患者等待时间减小；同时开通三种渠道时，最偏好某渠道的患者比例越大，选择该渠道的患者的等待时间也越大；在所有情况下，患者对提前支付的敏感度均不影响最优等待时间的制定。     

一类稀疏投资组合双层参数估计模型及其应用

带基约束的投资组合问题是近年来投资组合领域的热点问题，但是参数不确定性直接影响了模型的效果。带基约束的投资组合问题所涉及的参数不仅包括以往研究认为非常重要的预期收益率，还包括控制投资组合规模的稀疏度，尤其是最优稀疏度估计方面的专门研究还十分匮乏。为了使带基约束的投资组合模型更好地为投资决策服务，本文从投资者效用出发，用双层规划的思想构建了带基约束的投资组合双层参数估计模型。然后根据模型的特点，设计了无导数优化算法框架，并基于ADMM对算法子问题进行求解。本文实验针对真实的市场数据给出了预期收益率和最优稀疏度的估计，接着通过与等权重策略和含上下界约束的均值-方差模型进行比较，说明了模型及算法的有效性和实用性。最后，将本文提出的双层参数估计模型推广到了更一般的形式。     

基于多目标加权灰靶决策模型的节能服务公司选择研究

用能方对节能服务公司（Energy Service Company，ESCO）的选择关系到合同能源管理（Energy Performance Contracting，EPC）能否顺利实施。从用能方的角度，采用灰色系统理论中的多目标加权灰靶决策模型，对存在多决策目标的ESCO选择问题进行研究。通过层次分析法确定ESCO的11个决策目标的决策权数，根据综合效果测度值的比较，最终实现最优对策的选择。本文为用能方的ESCO选择问题提供了一种新的思路。     

Learning,signaling, and convincing: The role of experimentation in the business modeling process

This study examines experimentation in the business modeling process, unpacking three different roles of experimentation: learning, signaling, and convincing. Learning is an inherent role of experimentation, as managers typically experiment to engage with the environment and to obtain knowledge. This study uncovers another set of roles, which have a symbolic nature. These roles show that experimentation is not just a learning process, but also a strategic legitimation process, aimed at enacting the environment. Experimentation serves the purpose of signaling to potential customers and other stakeholders, and of convincing them to embrace the business model. Furthermore, this study shows that experimentation takes two forms—purposeful interactions and experimental projects—and that these forms can support the different roles of experimentation.     

基于ACC支付模式的供应链金融模型研究

在零售商存在资金不足和顾客需求随机情况下，以报童模型为基础，针对变质品构建了供应链金融问题和ACC支付模式（提前支付Advance、现金支付Cash和信用支付Credit）相结合的零售商订货模型，即零售商与供应商、融资机构合作条件下的模型。研究表明，零售商会随着最优订货批量和最低期望成本的增加和降低趋势，进而调整订货量，从而规避供大于求的风险，最终降低总的期望成本。同时供应商可以适当调整支付比例，让零售商来分担坏账和商品变质风险。     

金融集聚、生产率增长与城乡收入差距的实证分析——基于动态空间面板模型

本文利用中国2003-2013年285个地级及以上城市的统计数据，采用动态空间面板模型实证分析了金融集聚对城市总体生产率增长及其内部城乡收入差距的影响，研究结论表明：金融集聚是促进城市总体生产率增长的重要推动力，同时也是导致城市内部城乡收入差距扩大的关键因素，这主要是因为金融集聚显著推动了城市居民人均收入水平的提高，而对农村居民人均收入水平的提升作用不显著。本文的政策含义在于，在城市金融集聚的扩散阶段还没有到来之前，政府旨在缓解城乡收入差距的金融政策可能会抑制城市总体生产率增长。     

Risk Mapping of Groundwater‐Drawdown‐Induced Land Subsidence in Heterogeneous Soils on Large Areas

Groundwater leakage into subsurface constructions can cause reduction of pore pressure and subsidence in clay deposits, even at large distances from the location of the construction. The potential cost of damage is substantial, particularly in urban areas. The large‐scale process also implies heterogeneous soil conditions that cannot be described in complete detail, which causes a need for estimating uncertainty of subsidence with probabilistic methods. In this study, the risk for subsidence is estimated by coupling two probabilistic models, a geostatistics‐based soil stratification model with a subsidence model. Statistical analyses of stratification and soil properties are inputs into the models. The results include spatially explicit probabilistic estimates of subsidence magnitude and sensitivities of included model parameters. From these, areas with significant risk for subsidence are distinguished from low‐risk areas. The efficiency and usefulness of this modeling approach as a tool for communication to stakeholders, decision support for prioritization of risk‐reducing measures, and identification of the need for further investigations and monitoring are demonstrated with a case study of a planned tunnel in Stockholm.     

Mentorship experiences during registrar training: reflections of Black African specialists in the Western Cape

In order to meet the significant staffing challenges to health care provision in South Africa, the need to support the training and retention of Black medical specialists has been identified. This small qualitative study aimed to explore experiences of mentorship among a group of Black medical specialists in hopes of understanding the value and potential challenges that these relationships raise. Ten Black medical specialists were interviewed about their experiences of being mentored during their registrar training. The interview data was analysed using discourse analysis, and the results comprise of three main themes, namely: Difficulty accessing mentorship, a lack of Black and/or female role models and finally, experiences of feeling excluded from soft networks. The experiences explored in this study indicate the need for open dialogue within the mentorship dyad regarding certain taken-for-granted assumptions surrounding race, so as to aid the provision of more effective and satisfying mentorship outcomes.     

A Probabilistic Framework for Risk Analysis of Widespread Flood Events: A Proof‐of‐Concept Study

This article presents a flood risk analysis model that considers the spatially heterogeneous nature of flood events. The basic concept of this approach is to generate a large sample of flood events that can be regarded as temporal extrapolation of flood events. These are combined with cumulative flood impact indicators, such as building damages, to finally derive time series of damages for risk estimation. Therefore, a multivariate modeling procedure that is able to take into account the spatial characteristics of flooding, the regionalization method top‐kriging, and three different impact indicators are combined in a model chain. Eventually, the expected annual flood impact (e.g., expected annual damages) and the flood impact associated with a low probability of occurrence are determined for a study area. The risk model has the potential to augment the understanding of flood risk in a region and thereby contribute to enhanced risk management of, for example, risk analysts and policymakers or insurance companies. The modeling framework was successfully applied in a proof‐of‐concept exercise in Vorarlberg (Austria). The results of the case study show that risk analysis has to be based on spatially heterogeneous flood events in order to estimate flood risk adequately.