Predicting credit card delinquencies: An application of deep neural networks

The objective of this paper is twofold. First, it develops a prediction system to help the credit card issuer model the credit card delinquency risk. Second, it seeks to explore the potential of deep learning (also called a deep neural network), an emerging artificial intelligence technology, in the credit risk domain. With real-life credit card data linked to 711,397 credit card holders from a large bank in Brazil, this study develops a deep neural network to evaluate the risk of credit card delinquency based on the client's personal characteristics and the spending behaviours. Compared with machine-learning algorithms of logistic regression, naive Bayes, traditional artificial neural networks, and decision trees, deep neural networks have a better overall predictive performance with the highest F scores and area under the receiver operating characteristic curve. The successful application of deep learning implies that artificial intelligence has great potential to support and automate credit risk assessment for financial institutions and credit bureaus.     

Mobile Commerce Website Success: Antecedents of Consumer Satisfaction and Purchase Intention

With the rapid development of apparel mobile commerce in the United States, more companies view mobile commerce as a new source of competitive advantage. Despite the importance of apparel mobile website quality and its effect on consumer satisfaction and future purchase stimulus, extant research has paid little attention to these topics. This study proposes a website quality–consumer satisfaction–purchase intention research model based on the self-regulatory process theory. Six dimensions of apparel mobile website quality—website visual appeal, apparel visual appeal, brand trust, website information quality, website response time, and website security—were investigated. In all, 293 eligible responses were collected via an online survey. Multiple regression analysis was utilized to test the proposed relationships. Results reveal that website information quality, website visual appeal, apparel visual appeal, and website security positively affect consumer satisfaction toward apparel mobile commerce websites, while website response time and brand trust show insignificant impacts on consumer satisfaction. With higher satisfaction on an apparel mobile commerce website, consumers are more likely to purchase apparel through the website.     

长三角港口腹地动态演变及耦合协调度研究

明确港口腹地演变趋势、分析港腹耦合协调度,对长三角地区港腹联动发展具有重要意义。量化港口系统—腹地系统综合指标评价体系,运用高斯烟羽模型在2006、2011、2016年3个时间节点上测算长三角地区主要港口影响强度,并对腹地范围进行划分,利用耦合协调模型定量分析港口系统和直接腹地经济系统耦合协调度。研究结果表明:长三角地区港口呈现"一超多强"的格局,以上海港为中心,各港口多极发展;港口腹地范围整体稳定,局部波动,上海港的边缘腹地不断缩减;港口与腹地的耦合协调度处于上升态势,宁波—舟山港腹耦合协调度最高。     

Friends along supply chain and relationship-specific investments

Review of Quantitative Finance and Accounting - This study investigates whether the presence of school ties between supply chain partners encourages relationship-specific investments. Using Chinese...     

名山风景区风景特质理论体系及其实践 ——以武当山为例

名山风景区“人与天调”的风景系统代表了中国独有的山岳文化现象和山水相融的总体特征。在风景自然和文化整体性视角下研究风景系统的形态、类型及其形成原因和规律，分析了风景资源评价和风景特质评价的互补性；构建了“相-制-理”的名山风景区风景特质理论及其实践框架。以武当山为例，探索“以脉绘景”的风景特质之相、“山川流峙”的风景特质之制以及“因脉而成”的风景特质之理。最后总结了风景特质理论作为形态学理论、作为图谱理论、作为地脉文脉认识论实践的整体性特点及其应用前景。     

基于BIM技术的医院建筑设备运维管理研究

近年来,随着科学技术的不断发展,我国医疗水平也在逐步提升,医院建设标准越来越高,医院建筑设备越来越复杂,建筑设备运维管理的问题逐渐突显出来.本文通过分析研究现阶段医院建筑设备运维管理存在的问题,结合BIM技术的优势,提出在医院建筑设备运维管理中引入BIM技术,对医院建筑设备的运维管理方式、管理手段进行优化和改进,从而提高其运维效率、降低运维成本,为医院的长远可持续发展提供保障.     

小芯样法及其他混凝土抗压强度试验对比研究

混凝土的质量是决定建筑工程质量的重要因素,而混凝土抗压强度是反应混凝土质量最基本、最重要的指标.混凝土抗压强度的现场检测方法目前常用的有回弹法、超声回弹综合法和钻芯法.而随着混凝土强度的提高,钢筋间距的加密,小芯样法也逐渐被越来越多的人重视和研究.本文针对回弹法、超声回弹综合法和小芯样法展开试验研究,分析回弹法、超声回弹综合法和钻芯法检测混凝土抗压强度与标准试块强度之间的关系.     

Do ongoing networks block out new friends? Reconciling the embeddedness constraint dilemma on new alliance partner addition

Research Summary: This study addresses a theoretical dilemma regarding how alliance network constraint (reflected by network cohesion) affects a firm’s alliance formation with new partners. Using a network pluralism approach, we separate a firm’s ego alliance network into two activity‐based networks—an exploratory network and an exploitative network—based on the primary value chain activity involved in each alliance. We argue that the cohesion of exploratory or exploitative networks has an inverted U‐shaped effect on the addition of new partners in the same activity‐based network, and a positive effect on the addition of new partners in the other network. Results based on data from the biotechnology industry largely support our predictions with one exception. Our study contributes to both scholarly understanding of network embeddedness and alliance practice. Managerial Summary: The structure of firms’ ongoing alliance networks may have paradoxical implications for their efforts to search for and form alliance with new partners. That is, when a firm’s alliance partners are tightly connected with each other, the cohesive network tends to both encourage and impede the focal firm to add new partners. We resolve this dilemma by showing that when a firm is deeply entrenched in a cohesive alliance network conducting a certain type of activities (e.g., R&D activities), it may not easily add new R&D alliance partners. However, it may still be able to escape from the cohesive R&D alliance network by seeking new partners conducting other activities (e.g., manufacturing activities).     

基于跨境社交平台的产品推广模式研究

论文调查分析了近年来热度较高的跨境社交媒体平台以及相关使用数据,利用相关性分析方法分析了多个平台的数据,在此过程中发现了各平台间具有相当高的互惠性,并运用互惠比例和推广方式适配度模型完成了对跨境社交平台的运行模式以及推广方式的对比分析,最终研究得出跨境社交媒体平台的产品推广模式。     

中国科协建设高端科技创新智库的SWOT分析

建设高端科技创新智库是中国科协走中国特色群团发展道路的重大举措，对中国科协建设高端科技创新智库面临的内外环境进行分析具有重要的现实意义。本文采用SWOT分析法对中国科协建设高端科技创新智库面临的优势、劣势、机遇和挑战进行分析，研究结果表明：中国科协在组织网络、科技工作者状况调查、民间科技外交、智库成果宣传等方面具有自身优势，但同时也存在着智库网络未充分发挥作用、人才队伍结构有待完善、体制机制障碍、智库成果水平有待提升等劣势。深度参与全球科技治理、深化科技体制改革、科协事业转型升级、大数据技术发展是中国科协面临的机遇；国际竞争格局剧烈变动、全球科技治理领域话语权有限、国内外科技智库发展迅速是中国科协建设高端科技创新智库需要应对的挑战。