重庆市土地整理项目过程后评价

通过借鉴一般性投资项目的后评价方法及内容,在分析重庆市的区域特性和进行区域划分的基础上,选取不同区域的项目作为研究对象,对典型研究项目进行过程后评价,以展现重庆市在土地整理实施过程中的成果与问题,为后续土地整理项目借鉴和参照。研究表明:项目的规划设计工作还有待加强,施工监管工作还有待进一步改善提高等。     

因子分析法在县域经济发展水平评价中的应用

县域经济是国民经济的重要组成部分。为了全面、客观、系统、科学地评价和分析县域经济发展水平,一般要采用多指标综合评价法,这种传统方法具有主观随意性与工作复杂性的缺点。采用因子分析法对县域经济发展水平进行评价,可以有效地克服传统多指标综合评价方法中的不足与缺陷。     

Exploring the factors that drive consumers to use contactless delivery services in the context of the continued COVID-19 pandemic

The spread of the COVID-19 pandemic has resulted in the launch of contactless delivery services. This research integrates resource matching, service quality evaluation, and perceived value theories to explore the factors that promote the use contactless delivery services. The data was obtained through questionnaire surveys, and research hypotheses were verified through the structural equation modelling approach. With the exception of convenience, the results show that privacy, reliability, security, and flexibility have a significantly positive effect on consumers' intention to use “contactless” delivery services through consumers' perceived value. This study contributes to the literature by introducing theoretical frameworks from various paradigms and enriches the academic research on existing theoretical structure models. It also helps optimize resource allocation and realize the social environment related to coexisting with the COVID-19 pandemic.     

The influence of anthropomorphic appearance of artificial intelligence products on consumer behavior and brand evaluation under different product types

While artificial intelligence products are widely used in the market, their anthropomorphic appearance design is becoming a frontier issue in product strategy and consumer behavior research. The aim of this study was to investigate the influence of anthropomorphic appearance on consumer behavior and brand evaluation under different AI product types. It was conducted in China, a new but rapidly-growing country in the field of Internet, AI technology and AI product consumption. This study conducted four situational experiments with a 2 (anthropomorphic design: anthropomorphic vs. non-anthropomorphic) × 2 (product type: hedonic vs. utilitarian) between subjects’ experimental design. Data was collected from 1172 Chinese “Digital Natives” by using a structured questionnaire. The findings revealed that for hedonic AI products, anthropomorphic appearance improves consumers' purchase intention and brand evaluation through perceived entertainment, and intelligence level significantly moderates the mediating effect of perceived entertainment; while for practical AI products, anthropomorphic appearance improves consumers' purchase intention and brand evaluation through perceived usefulness, and intelligence level does not significantly moderate the mediating effect of perceived usefulness. There is no significant moderating effect of intelligence level on perceived usefulness. The study contributes to development and validation of a more comprehensive understanding and theoretical foundation of anthropomorphism, and furthermore explores the impact of anthropomorphic appearance on consumer behavior and brand evaluation under different AI product types. This study also provides insights for companies to apply anthropomorphic strategies.     

E-commerce sellers' ratings: Is user feedback adequate?

The literature on the theory of public procurement points out two well-known informational problems arising out of information asymmetry: (i) adverse selection and (ii) moral hazard. To reduce these issues and foster credibility and trust in the procurement process while maintaining quality and efficiency in public procurement, e-procurement platforms have turned to reputation or rating systems. Therefore, the research and design of such rating systems are crucial. In this study, we discuss the theoretical underpinnings of procurement and employ the information-theoretic, regression analysis, artificial neural network and principal component analysis (PCA) approaches to estimate the weights of the variables entering the rating system. Using real data from Government e-Marketplace, a business-to-business public e-commerce portal, we empirically determine the weights of the rating variables derived from the transaction-level and user feedback data for sellers. The weights obtained from the PCA are the most applicable compared with the other three methods. We compare the old rating system with the newly proposed design using the Wilcoxon signed-rank test. This results in a statistically significant difference between the two ratings. The canonical correlation and Wilks' trial reveal that the ratings derived from transaction-level data and user feedback are uncorrelated to a great extent. Hence, considering only transaction-level data or user feedback is unlikely to divulge sellers' intrinsic worth. E-commerce platforms can use this approach to quickly implement methods to obtain rating scores on a real-time basis for sellers on online platforms.     

多属性决策方法在商业银行信用风险评估中的应用

决策理论中的多属性决策方法可以直观比较出多家银行所面临的信用风险大小,这对我国商业银行的信用风险监测具有重要意义。以我国具有代表性的四家商业银行作为样本,运用多属性决策方法对商业银行信用风险进行评估,结果表明,多属性决策方法具有科学性和可操作性。     

论资产评估与会计的关系

资产评估与会计是既有区别又有联系的专业服务活动,本文通过讨论两者之间的关系,使我们明确会计提供以事实判断为主要内容的服务,资产评估提供以价值判断为主要内容的服务,它们都是现代市场经济赖以正常运行的基础服务行业。使我们更深刻地认识资产评估,更好地利用会计信息为评估服务,从而提高资产评估质量。     

高校内部控制评价指标体系的构建与应用

内部控制评价对于强化高校内部控制是十分重要的,而进行内部控制评价要解决的关键问题之一则是建立科学的内部控制评价指标体系。要建立科学的高校内部控制评价指标体系,需要从高校内部控制的要素入手;再根据高校内部控制要素,构建高校内部控制评价指标体系,并在指标体系基础上建立模糊综合评价模型;运用模糊综合评价模型,可以对高校的内部控制状况进行全面的评价。     

盐城市水资源承载状态预警研究

在分析水资源承载状态预警概念的基础上,引入"三类六级"预警思想,采用可变模糊法和层次分析法的思想,构建盐城市水资源承载状态综合预警指标体系,评价盐城市2015年、2020年和2030年的水资源承载状态,并结合各年份承载状态变化趋势,对未来年份进行预警。结果表明:盐城市2015年水资源处于临界超载的状态,但随着"关于做好建立全国水资源承载能力监测预警机制工作的通知"等一系列措施的实施,2020年、2030年承载状态将逐步好转,到2030年将处于可载的状态。