大学生网络购物忠诚度关键影响因素实证研究

大学生网络购物忠诚度的提高对网络零售企业利润的增长有重要的影响。通过问卷调查和统计分析,找出影响大学生网络购物忠诚度关键因素,采取相应对策措施,有利于提高大学生网络购物忠诚度,拓展网络商家的市场空间。     

数学教学的生活化与非智力因素开发

数学,源于生活,寓于生活,用于生活,高于生活。数学教学的生活化,不仅是数学教学的大势所趋,也是数学教学改革的应有之义。数学教学的生活化,不仅有利于非智力因素的开发,也有利于发挥非智力因素的作用。     

Understanding the role of situational factors on online grocery shopping among older adults

This paper seeks to identify the situational factors that drive the adoption of online grocery shopping among older adults. A two-step research process is employed. First, exploratory qualitative research is carried out to identify situational factors that older adults take into account when deciding whether to buy groceries online. This is followed by a conjoint experiment to determine which situational factors are considered most important when making such a decision. The sample consisted of 9 participants in the in-depth individual interviews and 206 respondents in the conjoint experiment. The findings indicate that health, mobility issues, and distance to a store are the most important situational factors driving older adults to buy groceries online. Moreover, the findings confirm that the adoption of online grocery shopping among older adults is a result of a complex trade-off of situational variables. The findings contribute to managerial practice by providing online grocery retailers with insight that can be applied when designing promotional programs targeted at older adults.     

农村基本公共服务农户满意度影响因素研究 ——基于Logistic-ISM模型

农村基本公共服务农户满意度对促进农村基本公共服务的可持续健康发展具有重要意义。基于496份调查数据,运用多元有序Logistic模型和ISM模型分析了农村基本公共服务农户满意度的影响因素及各影响因素间的关联关系和层次结构。结果显示,农户满意度受年龄、文化程度、家庭年收入水平、政府投入力度、政府监管力度、政府人员服务态度、农户参与度和对基本公共服务的了解程度等8个因素影响。因此,建立信息披露机制,完善政府投入机制,加强政府监管力度,有助于提升农户对农村基本公共服务的满意度。     

中国货币错配引致原因的实证分析: 1986～2005

货币错配是发展中国家普遍存在的一种经济金融现象,研究这一现象对我国汇率制度改革和金融深化过程中经济金融政策的制订具有重要的意义。文章首先简单介绍了国外对货币错配引致原因的最新研究成果,在此基础上对1986年至2005年间我国货币错配的引致原因进行了实证检验,实证结果表明,国家的经济规模、金融市场的发展水平和实际有效汇率的变动等因素对我国的货币错配程度有着显著的影响,最后结合我国货币错配现象的特点对以上因素的影响机制进行了分析。     

国有上市公司经营者报酬的影响因素分析

国有上市公司经营者报酬受公司绩效、公司规模、行业和地区等因素的影响。公司绩效、规模对经营者现金报酬有显著的正影响,对经营者持股比例虽有影响但并不显著,公司所在行业和地区因素影响经营者报酬水平。     

百年奥运经久不衰的探析

现代奥林匹克运动经过一百多年的发展,已经成为一项全球最具有影响力的运动。具有明确的指导思想、完整的组织结构、综合而持久的活动内容是奥林匹克运动发展的重要因素。     

新课改背景下学校教师学习的个案探析

基础教育新课程改革背景下教师如何通过学习来促进教师专业发展,是目前大家关注的话题。笔者对深圳某中学教师的学习状态、学习类型和学习的影响因素等进行调研,发现他们的学习类型各具特色,但同时也存在一些问题,影响教师学习的主要因素有:对基础教育新课改的困惑、教师责任的压力、教师地位的现状以及来自学生和家长的压力等,应采取对策,促进教师学习提高。     

API开放银行：金融科技背景下商业银行转型升级的重要方向

对API开放银行的国际、国内监管和市场动态开展现实观察,就API开放银行对商业银行数字化转型、生态圈场景建设、平台升级迭代等方面金融科技转型升级的重要影响进行分析阐述,对API开放银行创新发展的制约因素开展深入研究,并总结、提炼出商业银行推进API开放银行创新发展的对策建议。     

Predicting credit card fraud with Sarbanes‐Oxley assessments and Fama‐French risk factors

This research developed and tested machine learning models to predict significant credit card fraud in corporate systems using Sarbanes‐Oxley (SOX) reports, news reports of breaches and Fama‐French risk factors (FF). Exploratory analysis found that SOX information predicted several types of security breaches, with the strongest performance in predicting credit card fraud. A systematic tuning of hyperparamters for a suite of machine learning models, starting with a random forest, an extremely‐randomized forest, a random grid of gradient boosting machines (GBMs), a random grid of deep neural nets, a fixed grid of general linear models where assembled into two trained stacked ensemble models optimized for F1 performance; an ensemble that contained all the models, and an ensemble containing just the best performing model from each algorithm class. Tuned GBMs performed best under all conditions. Without FF, models yielded an AUC of 99.3% and closeness of the training and validation matrices confirm that the model is robust. The most important predictors were firm specific, as would be expected, since control weaknesses vary at the firm level. Audit firm fees were the most important non‐firm‐specific predictors. Adding FF to the model rendered perfect prediction (100%) in the trained confusion matrix and AUC of 99.8%. The most important predictors of credit card fraud were the FF coefficient for the High book‐to‐market ratio Minus Low factor. The second most influential variable was the year of reporting, and third most important was the Fama‐French 3‐factor model R² – together these described most of the variance in credit card fraud occurrence. In all cases the four major SOX specific opinions rendered by auditors and the signed SOX report had little predictive influence.