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.

Digital Marketing and B2B Cross-Border E-Commerce: A Case Study of Alibaba International Station in China

The rapid development of the“Internet+”has ushered in a new era of global digital technology innovation.Concurrent with the deepening trends of economic globalization and integration,international trade is progressively undergoing extensive digitization,with cross-border e-commerce emerging as a significant manifestation of this transformation.Within this landscape,the cross-border e-commerce B2B platform is anticipated to become a pivotal driver for China’s cross-border trade growth,representing a strategic opportunity for trade transformation.This paper provides a comprehensive examination of the concepts,characteristics,and development status of cross-border e-commerce and B2B platforms,considering both global and Chinese perspectives.Focusing on a prominent case study,Alibaba International Station,a B2B cross-border e-commerce platform,the paper delves into its business model and core competencies,offering a thorough analysis of its role in the intricacies of international e-commerce and its contribution to the field.Drawing on insights gained,the paper concludes by presenting targeted recommendations from both the platform and government perspectives.These suggestions are informed by a nuanced understanding of the development opportunities and challenges facing China’s cross-border e-commerce B2B platforms.

Dynamic Pricing Model of E-Commerce Platforms Based on Deep Reinforcement Learning

With the continuous development of artificial intelligence technology,its application field has gradually expanded.To further apply the deep reinforcement learning technology to the field of dynamic pricing,we build an intelligent dynamic pricing system,introduce the reinforcement learning technology related to dynamic pricing,and introduce existing research on the number of suppliers(single supplier and multiple suppliers),environmental models,and selection algorithms.A two-period dynamic pricing game model is designed to assess the optimal pricing strategy for e-commerce platforms under two market conditions and two consumer participation conditions.The first step is to analyze the pricing strategies of e-commerce platforms in mature markets,analyze the optimal pricing and profits of various enterprises under different strategy combinations,compare different market equilibriums and solve the Nash equilibrium.Then,assuming that all consumers are naive in the market,the pricing strategy of the duopoly e-commerce platform in emerging markets is analyzed.By comparing and analyzing the optimal pricing and total profit of each enterprise under different strategy combinations,the subgame refined Nash equilibrium is solved.Finally,assuming that the market includes all experienced consumers,the pricing strategy of the duopoly e-commerce platform in emerging markets is analyzed.

Effects of E-Commerce Platforms on Firm Export——Evidence from China’s Industrial Enterprises

With deepening digital technology applications in international trade, e-commerce platforms have become a major avenue for firm export. Based on a multicountry, multi-product heterogeneous firms trade theory model, this paper investigates the firm export effects of e-commerce platforms, and empirically tests the inferences from the model using data from Alibaba China Station, China industrial enterprises data, and China customs data from 2000 to 2009. Our estimation result shows that overall, e-commerce platforms significantly increase firm export probability and volume;e-commerce platforms enable firms to export products of different types to more countries by reducing the cost of information and export markets threshold while raising trade efficiency. Further analysis of enterprise heterogeneity reveals that SMEs, firms in China's eastern region, and general exporters benefit more from e-commerce platforms than other types of firms do.

A Novel Named Entity Recognition Scheme for Steel E-Commerce Platforms Using a Lite BERT

In the era of big data,E-commerce plays an increasingly important role,and steel E-commerce certainly occupies a positive position.However,it is very difficult to choose satisfactory steel raw materials from diverse steel commodities online on steel E-commerce platforms in the purchase of staffs.In order to improve the efficiency of purchasers searching for commodities on the steel E-commerce platforms,we propose a novel deep learning-based loss function for named entity recognition(NER).Considering the impacts of small sample and imbalanced data,in our NER scheme,the focal loss,the label smoothing,and the cross entropy are incorporated into a lite bidirectional encoder representations from transformers(BERT)model to avoid the over-fitting.Moreover,through the analysis of different classic annotation techniques used to tag data,an ideal one is chosen for the training model in our proposed scheme.Experiments are conducted on Chinese steel E-commerce datasets.The experimental results show that the training time of a lite BERT(ALBERT)-based method is much shorter than that of BERT-based models,while achieving the similar computational performance in terms of metrics precision,recall,and F1 with BERT-based models.Meanwhile,our proposed approach performs much better than that of combining Word2Vec,bidirectional long short-term memory(Bi-LSTM),and conditional random field(CRF)models,in consideration of training time and F1.

Application of the E-commerce Platform in the International Trade

E-commerce is a new consumption mode, which develops rapidly and is welcomed by consumers. It also plays an important role in promoting the international trade. Through this analysis, we can understand that the influence of the e-commerce on the international market has both positive and negative aspects. We need to be aware of our shortcomings, understand the gap between them and the developed countries, and formulate the relevant policies. Let China's e-commerce continue to improve and innovate in the international trade, and find a suitable strategy for its own development. Relevant Chinese departments should actively and effectively participate in the construction of e-commerce. On the one hand, they can stabilize the status of e-commerce in the international trade, and on the other hand, they can expand the consumer groups and make the electronic goods better.

Price Masking Strategy of Cross-Border E-Commerce Platform Financing

E-commerce platform financing is a new service pattern of supply chain finance.However,this pattern may bring some new issues when considering the problem of cash flow shortage and financing difficulties of small and medium-sized enterprises.When enterprises use this service,they worry about the leakage of preferential wholesale price when applying the full loan amount and providing the true transaction information.Based on the model consisting of a supplier,a retailer and a cross-border e-commerce platform,the authors design a price masking strategy to prevent the retailer’s preferential wholesale price information from leakage.The authors analyze the profit of the retailer and the platform before and after adopting the price masking strategy.The authors find that the price masking strategy always benefits the retailer.Besides,the optimal profit of the retailer and the platform are both affected by the loan interest rate.Moreover,there exists a range of loan interest rates that can benefit both the retailer and the platform if the price masking strategy is adopted.The research emphasizes that platform can expand the total business volume by allowing retailers to use price masking strategy.In other words,there will be more and more retailers attracted by the strategy,which benefits the long-term growth of cross-border e-commerce platform financing.

Evolutionary game analysis of information service quality control of e-commerce platforms under information ecology

Due to the information asymmetry and imperfect supervision system,the problem of information service quality of e-commerce platforms is becoming increasingly prominent.Based on the perspective of information ecology,this paper constructs a three-party evolutionary game model including merchants,e-commerce platforms and governments,and analyzes the dynamic process of the threeparty game under bounded rationality,thereby characterizing the behavior and optimal strategies of information service quality control.We carry out numerical simulation using data of the Pinduoduo platform.The results show that the cost of each party,control strength of e-commerce platforms,proportion of margin deducted and other factors are important factors affecting the quality of information service;Only when the sum of the costs of passive management of e-commerce platforms,penalties for merchants,and the additional revenue generated from the active management exceeds the cost of the active management of the e-commerce platforms,it ensures effective control over the quality of information service in a stable market environment.Finally,some suggestions are put forward to optimize the e-commerce information service quality control.

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.

Leveling the Playing Field China’s first e-commerce law takes effect in an effort to regulate the industry

Gao Difan,27,was overjoyed with the Givenchy lipstick she bought herself as a Christmas gift via a daigou.on Taobao,one of the most famous e-commerce platforms in China.A daigou is the name given to an intermediary who travels or lives abroad and buys products on behalf of people in China.

一种全向移动操作机器人建模与交互作用分析

全向移动操作机器人(Omni-directional Mobile Manipulating Robots,OMMR)是由全向移动平台以及在平台上加装一个或多个操作臂组成的具有主动作业能力的新型机器人系统。在移动平台上加装操作臂后,整个系统动力学行为的复杂性将会因为移动平台与操作臂之间的耦合效应而大大增加,涉及地面-移动平台、移动平台-操作臂、操作臂-操作环境的动态交互,给系统的建模带来极大困难。在建立OMMR运动学、静力学模型的基础上,提出了一种简化的OMMR系统动力学建模方法;基于该动力学模型,建立车-臂交互作用模型并对其交互作用进行分析。仿真和实验验证了车-臂交互作用模型的正确性,间接证明了所提OMMR系统动力学建模方法的合理性和有效性,为机器人运动规划和运动控制提供了模型数据。

论网络平台的混合式监管

伴随网络平台在网络交易秩序管控中的地位提升,行政立法不断强化网络平台对网络交易秩序的管理责任,片面依靠强化网络平台管理责任来保障网络交易安全的立法思路,混淆了企业与政府在网络交易监管中的责任边界,难以有效实现对网络交易安全与市场秩序的管控,甚至间接推动了平台垄断的形成。随着平台反垄断的深入,在日益复杂的网络交易关系之下,网络交易秩序的治理问题应当置于更广、更开放的社会系统中考虑,对此,应当创新网络监管职权履行模式,引入分布式的平等交互机制,构建科技驱动式监管模式,提高监管效率;同时,拓展网络职权履行的主体,发展协作式的混合管理机制,结合合作监管与自律监管,优化监管效果,从而实现平台与政府在互联网经济模式下对网络交易秩序的合作治理。

基于Fabric的海量交易数据上链预处理机制

Hyperledger Fabric是一种国内外广泛使用的联盟链框架,在基于Fabric技术的一些业务中具有协同组织众多、交易操作频繁、事务冲突增加等特点。Fabric采用的多版本并发控制技术能够在一定程度上解决部分交易冲突,提升系统并发性,但其机制不完善,会出现部分交易数据无法正常上链存储的问题。为了实现海量交易数据完整、高效、可信的上链存储,提出一种基于Fabric预言机的数据上链预处理机制。设计海量数据冲突预处理(MCPP)方法,通过检测、监听、延时提交、事务加锁、重排序缓存等方式实现主键冲突交易数据的完整上链。引入数据传输保障措施,在传输过程中利用非对称加密技术防止恶意节点伪造认证信息,确保交易数据链外处理前后的一致性。通过理论分析和实验结果表明,该机制可有效解决联盟链平台中海量交易数据上链时的并发冲突问题,当交易数据规模达到1 000和10 000时,MCPP的时效性比LMLS提高了38%和21.4%,且成功率接近100%,具有高效性和安全性,同时在无并发冲突情况下不影响Fabric系统性能。

基于数据要素流通视角的数据交易平台发展现状与对策

数据作为生产要素,若要持续保持高价值,可共享、可流通、可交易是必然要求。为充分发掘数据要素潜能、促进数据要素价值释放,探索建立促进数据要素流通的交易平台至关重要。通过文献研究、会议研讨、专家访谈、网站检索等多种途径进行研究发现,数据要素作为关键基础资源和重要生产资料,能够提供决策支持、促进市场反应、提升管理效率、反映行业状况等。目前,国外数据要素流通交易已取得较好成效,国内数据要素流通交易进入新发展阶段,但国资主导不强、商业模式不清、技术应用不深、规则标准不明、安全体系不全、市场规制不足等一系列问题的存在,制约了我国数据交易平台的发展,进而抑制了数据要素流通交易效率的提升。为加快培育数据要素市场、推动数据交易平台发展创新,要统一规划分步推进数据交易平台建设,优化数据交易平台股权结构与许可机制,增强数据交易平台风险防控能力,提升数据要素供给数量与质量,统筹建立数据要素标准规范,完善数据要素流通交易安全配套体系,培育数据要素流通交易产业创新能力。

新媒体平台网络交易现状与监管对策研究

随着互联网技术的不断发展和普及,网络交易方式更新迭代日益频繁,网络交易规模也显示出强劲的增长势头。如何快速适应市场变化,提高网络交易监管效能、打造健康网络交易环境仍将是市场监管内容的重要组成部分。本文主要针对各类平台网络交易现状进行分析,归纳网络交易问题的成因,从法律法规、人才建设、协作监管、平台主体责任等多个角度探索监管对策。

电商平台“建立知识产权保护规则”的内涵及判定

《电子商务法》规定了电子商务平台经营者的“建立知识产权保护规则”义务,但是较为简略的表述导致在理解时出现了不同认识,容易引起法律适用上的不同结果。对此,需要结合电子商务的特点以及相关条文的立法考量来加以把握。“建立知识产权保护规则”义务代表了我国在电子商务活动中开展知识产权保护的最新探索,反映出了《电子商务法》希望促成和确保电子商务平台通过平台自治防控知识产权侵权。因此,建立保护规则需要以现有规定为基础,并以主动治理为方向。具体判定保护规则的建立是否符合要求时,一是分析是否对法律规定加以细化以及是否违背或者降低法定要求,二是分析是否有包含现有法律规定之外的主动防控侵权措施,但是并不强制要求这些措施属于原创或者达到一定程度,三是分析所建立的规则有没有实际执行、有没有流于形式。这样的把握思路既能保证可操作性,也能减少对市场的潜在不利影响。

Transaction在PAR平台中的实现方法及应用研究

随着电子商务和金融软件应用日益广泛,提高这类软件系统的可靠性和安全性就显得特别重要。虽然能够提高这类软件可靠性的事务处理技术早在数据库管理系统中普遍使用,近几年在Java软件开发环境中也新增了事务处理接口JTA,但是在基于模型驱动架构设计的建模语言中嵌入事务处理机制的成功案例尚不多见。论文在已有体现模型驱动软件架构思想的PAR方法和PAR平台中,融入抽象事务处理机制,并使用融入了事务处理机制的PAR平台及其建模语言开发了具有事务处理功能的金融软件模型,通过PAR平台的模型自动转换工具生成了Java和SQL程序。实验证明融入了事务处理机制的PAR方法和PAR平台具有建模简单、实用,软件开发效率高,便于形式化推导和证明等特点。

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.

Study on the Tort Liability of Electronic Commerce Platform

Today,the rapid development of electronic commerce(E-commerce)has added a new driving force for China’s economic development.However,all kinds of legal problems have followed,such as uncontrolled production and sale of fake goods,frequent malicious complaints,endless unfair competition,and illegal infringement,which have harmed the legitimate interests of consumers and seriously damaged the market order and fair competition.In order to provide some theoretical and realistic reference for the development of China’s E-commerce industry,this paper focuses on the relevant problems in the field of“infringement”of E-commerce platforms for in-depth thinking,and puts forward suggestions for solving the existing problems based on the development status of E-commerce platforms.