Transaction Frequency Based Trust for E-Commerce

Most traditional trust computing models in E-commerce do not take the transaction frequency among participating entities into consideration,which makes it easy for one party of the transaction to obtain a high trust value in a short time,and brings many disadvantages,uncertainties and even attacks.To solve this problem,a transaction frequency based trust is proposed in this study.The proposed method is composed of two parts.The first part is built on the classic Bayes analysis based trust modelswhich are ease of computing for the E-commerce system.The second part is the transaction frequency module which can mitigate the potential insecurity caused by one participating entity gaining trust in a short time.Simulations show that the proposed method can effectively mitigate the self-promoting attacks so as to maintain the function of E-commerce system.

Research on the Modern Precision E-commerce Marketing Model under the Big Data and Pattern Recognition Background

In this paper, we conduct research on the modern precision e-commerce marketing model under the big data and pattern recognition background. Large amount of consumption data provides the electricity enterprises grasp the user consumption pattern and the basis of the electric business enterprise through the use of big data can be personalized, accurate and intelligent advertising push service, service mode for the creation of more interesting and effective. Under this basis, electricity companies can also pass the assurance of pair of big data, looking for better increase user stickiness, development of new products and services, the ways and methods to reduce operational costs and accordingly, we propose the novel perspectives on the corresponding issues for the systematic level enhancement that provides the novel methodology of precision e-commerce marketing.

Process of Security Assurance Technique for Application Functional Logic in E-Commerce Systems

Security practices such as Audits that often focus on penetration testing are performed to find flaws in some types of vulnerability & use tools, which have been tailored to resolve certain risks based on code errors, code conceptual assumptions bugs, etc. Most existing security practices in e-Commerce are dealt with as an auditing activity. They may have policies of security, which are enforced by auditors who enable a particular set of items to be reviewed, but also fail to find vulnerabilities, which have been established in compliance with application logic. In this paper, we will investigate the problem of business logic vulnerability in the component-based rapid development of e-commerce applications while reusing design specification of component. We propose secure application functional processing Logic Security technique for component-based e-commerce application, based on security requirement of e-business process and security assurance logical component behaviour specification approach to formulize and design a solution for business logic vulnerability phenomena.

The Roles of Information and Communication Technologies (ICTs) and E-Commerce as Agents of Nigeria’s Economic Development: Review of Challenges and Prospects

Electronic commerce which denotes the process of electronic transaction via internet has led to a very significant improvement in the level of growth, development, efficiency and productivity of global economies. In order to benefit from the economic opportunities offered by electronic commerce, Nigerian government and business organizations needs to effectively integrate Information and Communication Technologies (ICTs) as the major component of e-commerce campaign initiatives. The discussion in the paper is centered on e-commerce and ICTs and their resultant effect on Nigeria’s economic growth and development. This paper has presented an in-depth discussion of the various types of e-commerce, the major contributions of e-commerce to the economic growth of Nigeria and finally the challenges that impede the growth of e-commerce in Nigeria were identified and the possible recommendations for solutions to those challenges were provided.

The Reasons for Enlarging Gap of E-Commerce between China and USA

E-Commerce in China and USA almost synchronously initiated. However, nowadays the differences of E-Commerce between the two countries are larger. In this paper, we try to find out what brings about the differences of E-Commerce between the two countries. We consider the contracting process of E-Commerce and analyze ex ante, ongoing and ex post transaction cost of E-Commerce contract. The conclusion is that the differences in economy and institution between China and USA result in the differences of transaction cost, which make for the differences in status quo of E-Commerce between the two countries.

ISO/TC 321电子商务标准化工作对非洲发展中国家的启示

This paper draws on the experience of the eighth plenary meeting of the ISO/TC 321, Transaction assurance in e-commerce, held in Hangzhou of China in November 2023, and explores potential ways in which developing countries in Africa can drive their development and contribute to global industrial progress by leveraging ISO/TC 321 standards. It provides practical recommendations for utilizing e-commerce standardization and related standards to stimulate economic growth and enhance business practices.

市场转向与专业化分工——以中国出口导向型制造企业为例

自2008年金融危机以来,中国出口导向型制造企业出现了以出口为主转向出口和内销并重的趋势,尤其在双循环新发展格局背景下,这一趋势更加明显。然而现有文献很少关注企业市场转向后的行为。本文基于企业分工的视角,以2009~2022年中国出口导向型制造企业为样本,实证研究了市场转向驱动企业专业化发展的内在机理和边界条件。研究发现:市场转向显著提升了中国出口导向型制造企业专业化分工水平,并且该结论在考虑内生性问题及一系列稳健性检验后仍然成立;机制分析表明,市场转向对企业专业化分工的促进作用主要通过降低企业面临的外部交易成本来实现;市场转向对企业专业化分工的影响具有明显的异质性,在国有企业、规模较大企业中促进效果更加明显;市场转向通过促进企业专业化分工提高了出口导向型制造企业全要素生产率和创新质量。本文研究结论对于双循环先发展格局政策制定具有重要的借鉴意义。

Functional Spatial Pattern of the Yangtze River Delta Region Based on the B2B E-Commerce Enterprise Network

With the increasing impact of globalization and informatization,the functional spatial pattern of the Yangtze River Delta,being reshaped by the new economy led by"Internet Plus,"is becoming more complicated.Hence,the study on the spatial pattern of e-commerce has much practical significance.Considering that B2 B e-commerce is a typical representative of the e-commerce economy currently in China,this paper analyzes the B2 B e-commerce enterprise network and explores whether the globalization and informatization processes have brought about a new spatial pattern in the Yangtze River Delta,to improve its spatial structure recognition.It is found that:(1)the status of Shanghai and Yiwu as two cores of the network has become prominent,while the status of Nanjing and Ningbo as traditional network centers has been weakened;(2)the regional axis has changed,with the Shanghai-Hangzhou-Yiwu axis rising and the traditional economic corridors such as the Shanghai-Nanjing axis and the Hangzhou-Ningbo axis being weakened;(3)the core area of the network connection has expanded,with the Jinhua-Yiwu region and the WenzhouTaizhou region becoming areas with close connections.

电力用户与发电企业直接交易平台的设计与实现

电力用户与发电企业直接交易利于资源优化配置和企业降低成本、提高效率,还可以有效拉动电力需求,培育新的工业经济增长点和电力需求增长点,实现发电、输电、用电3方共赢。为此设计了电力用户与发电企业直接交易平台。该平台具有交易规则管理、交易流程管理、交易通知发布、交易结果发布功能,满足电力用户与发电企业直接交易要求。

全球价值链治理模式演进的影响因素研究

全球价值链的治理是影响产业和企业升级的关键因素。基于对全球价值链治理模式及其决定变量的剖析,探索了标准化、技术发展与创新、供应商与采购商之间的关系和政策四方面因素对全球价值链治理模式决定变量的作用。研究发现:(1)随着标准化程度的提高,交易的复杂性降低,交易的可编码性提高,供应商能力增强;(2)技术的发展与创新将降低交易的复杂性,提高交易的可编码性及增强供应商能力;(3)在标准化程度较高的产业中,强化供应商与采购商之间的关系,交易的复杂性降低,供应商能力降低;在标准化程度较低的产业中,强化供应商与采购商之间的关系,交易的复杂性降低,供应商能力提高;(4)政策因素对决定变量的作用要视具体情况而定。运用上述研究成果,文章对全球自行车产业和纺织产业的价值链治理模式的演进进行了实证检验。

结合网站内容和结构进行的Web日志挖掘

提出一种以聚类为基础的Web日志挖掘方法:从Web日志事务、Web站点内容和Web站点结构3个不同方面来聚类页面集合,并通过将用户的访问记录和页面聚集进行匹配和相关度计算,来预测用户感兴趣的页面。

面向组合服务动态自适应的事务级主动伺机服务替换算法

动态服务环境的各种异常随时会导致整个业务流程暂时无响应或服务中断,极大影响业务流程的可靠性.已有替换机制大多缺乏事务支持而适应性差,进而不能有效保证系统执行过程中事务服务的原子性和数据一致性,也无法保障替换过程要求的正确性、实时性和高效性.该文以"事务支持"为核心,充分考虑了服务间多关系以及Web服务的事务特性,提出一种事务级组合服务主动伺机替换算法.首先,该文给出了事务粒度的获取及替换范围识别算法.然后,提出事务级替换代价/收益QoS模型,将事务补偿代价与替换代价有机结合,保证以最少的代价实现服务替换.在此基础上,提出了全新的QoS驱动的事务级服务替换算法.为了提高替换的时效性,提出了早期预测模式挖掘算法,对运行的服务实时监控保证其识别失效服务的早期性.实验结果证明,该模型不仅保证了替换过程中业务流程的事务原子性和数据一致性,而且提高了系统的可靠性和时效性.

威客模式研究述评

在知识经济和Web2.0时代的双重背景下,利用互联网进行知识创造的威客模式应运而生。它可以将人的知识、智慧、经验、技能通过互联网转换成实际收益,体现了互联网按劳取酬和以人为中心的新理念,极大地释放和利用了大众群体的智力资源。然而,由于这一模式产生的时日尚短,加上缺乏充分的理论基础,在实践过程中暴露出了越来越多的问题。文章在总结了威客模式的发展历程及其相关研究的基础上,对其存在的问题进行了分析和概括,为Web2.0环境下信息交易模式的优化提供思路。

一种基于时间衰减模型的数据流闭合模式挖掘方法

数据流是随着时间顺序快速变化的和连续的,对其进行频繁模式挖掘时会出现概念漂移现象.在一些数据流应用中,通常认为最新的数据具有最大的价值.数据流挖掘会产生大量无用的模式,为了减少无用模式且保证无损压缩,需要挖掘闭合模式.因此,提出了一种基于时间衰减模型和闭合算子的数据流闭合模式挖掘方式TDMCS(Time-Decay-Model-based Closed frequent pattern mining on data Stream).该算法采用时间衰减模型来区分滑动窗口内的历史和新近事务权重,使用闭合算子提高闭合模式挖掘的效率,设计使用最小支持度-最大误差率-衰减因子的三层架构避免概念漂移,设计一种均值衰减因子平衡算法的高查全率和高查准率.实验分析表明该算法适用于挖掘高密度、长模式的数据流;且具有较高的效率,在不同大小的滑动窗口条件下性能表现是稳态的,同时也优于其他同类算法.

基于数据挖掘的Web个性化信息推荐系统

基于数据挖掘的Web个性化信息推荐日益成为一个重要的研究课题。文章设计了一个基于数据挖掘的Web个性化信息推荐系统(WPIRS)。在WPIRS中,提出了推荐策略,在推荐策略中考虑针对不同类型的用户采用不同的推荐算法。根据用户是否有新颖信息的需求,WPIRS采用了两种推荐算法。

直购电交易下的双边形态技术匹配模型

传统大用户直购电交易多基于双边电量和电价的撮合,缺乏优化直购电中电网运营的有效手段。从直购双方电力特性曲线形态入手,提出一种基于双边形态技术匹配的交易辅助模型,探讨了直购电市场环境下有利于电网运行、保证直购双方电力行为、减少不确定性波动的交易方案的制定。以某电力公司采集的数据为例进行匹配分析,验证了该方法的有效性。

基于改进的AprioriAll算法的Web序列模式挖掘研究

为了减少AprioriAll算法挖掘过程中候选序列的生成以及对序列数据库的扫描次数,提高算法的挖掘效率,提出了一种基于改进的AprioriAll算法的Web序列模式挖掘方法。首先对数据进行预处理,然后利用经过改进的AprioriAll算法进行模式挖掘。算法的改进主要有两点:一个通过改变候选序列的连接方式来减少候选序列的产生;二是通过减少不必要的数据库扫描操作来提高算法的效率。通过实验验证了改进后算法在Web序列模式挖掘过程中的高效性和正确性。

农户交易中介化——概念界定与经济合理性论证

目前我国绝大多数农户采用直接化的交易方式,近年来,出现了一种新的交易方式,即"交易中介化",到底是哪种交易方式更有效?哪种方式更能节省交易成本?所以必须对其内涵进行界定,以"交易成本"为分析工具,借助一个关于基础交易成本与交易方式选择的模型。由于农户的有限理性、不确定性、交易频率、资产的专用性等因素影响,农户的基础交易成本是相当高的。从微观经济学的角度来看,直接化的交易还会使农户的福利受到损失。换言之,中介化交易是一项有效的制度安排。

中国土地承包经营权流转:主要模式、运行条件及交易费用分析

笔者根据相关文献和我国实际情况,将我国土地承包经营权流转模式划分为直接式流转、政府参与式流转和中介参与式流转三种类型,并运用博弈论方法,分析了不同模式的运行条件、基本要求及其所需交易费用的大小。分析表明,各模式的交易费用具有"直接式流转>政府参与式流转>中介参与式流转"的基本关系。基于上述分析,笔者得出了实现流转模式从直接式流转向政府参与式流转、中介参与式流转的变迁是降低土地承包经营权流转交易费用的现实选择等基本结论。