C2C E-commerce Website Research Articles

C2C Model E-Commerce Credit Evaluation Model Based on Artificial Intelligence

The development of network computer technology and artificial intelligence technology promotes the generation of software agents. However, online shopping has inherent information asymmetry due to the anonymity and liquidity of C2C (Customer to Customer) transactions. In the virtual environment, buyers cannot see the physical products, and they do not experience online shopping in person. They can only select products through the seller’s pictures and descriptions. After payment, there may be some problems, such as sending the wrong product, the seller does not deliver the goods after receiving the goods, or the seller does not receive the payment after delivery, etc. Therefore, the credit problem is the bottleneck for the development of online shopping business. Therefore, in order to ensure the transaction security of buyers and sellers, major C2C online trading platforms at home and abroad have established a credit evaluation mechanism. However, due to the reliability of e-commerce technology, the legal environment of e-commerce, the ethical environment of e-commerce, and the problems of existing credit evaluation indicators. The development of e-commerce in China is very slow. Therefore, actively exploring the credit model of Chinese e-commerce is of great significance to promoting the development of Chinese market economy. In this paper, AI technology analyzes the credit evaluation management method of C2C e-commerce website for transaction participants. This paper summarizes some key factors that affect the establishment of C2C credit, and further finds that there are some problems in the credit evaluation model involved in the e-commerce process. These problems stem from the inability to properly deal with the current development of e-commerce in China. There are problems with its evaluation system and honest transaction process. In order to better promote the development of e-commerce, in view of the above problems, this paper proposes a new model of C2C e-commerce credit system based on the game theory model of e-commerce buyers and sellers of AI technology, and further improves the evaluation model and related measures to completely solve the problem. Credit value generally shows a growth trend, but the trend is not obvious.

Trust, Perceived Benefit, and Purchase Intention in C2C E-Commerce

It is a class research question about how trust and perceived benefit affect consumers' purchase intentions. This research examines the relationship in a very different context: consumer-to-consumer (C2C) e-commerce in China. Specifically, this research empirically assesses the differences in effect size due to the change of context. First, a theoretical model linking trust, perceived benefit, and their antecedents to purchase intention is developed upon the literature. Then the model is evaluated using empirical data collected at Taobao, the largest C2C e-commerce website in China. Partial least squares based structural equation modeling (PLS-SEM) results strongly support the model and research hypotheses. A developing country context can indeed affect the strength of effect. These results contribute to the literature in that they provide new insights toward a more in-depth theoretical understanding. Meanwhile, they can also provide useful guidance for managers.

Measuring the quality of e-commerce websites using analytical hierarchy process

Improving website quality for e-commerce website is indispensable since it affects customer satisfaction. There are several aspects of website quality that should be considered. Unfortunately, what criteria that should be prioritized is still under research. This research aims to identify the priority of website quality criteria and incorporate these criteria to measure the quality of ten e-commerce websites in Indonesia using Analytical Hierarchical Process (AHP). This study interviews two experts to assign priority for each criterion. In the end, this study has found that availability is the uttermost aspect to consider. Furthermore, this study also found that OLX.com is the best Customer-to-Customer (C2C) e-commerce in Indonesia in terms of website quality. This research is useful for any e-commerce technical developer to improve his/her website in twofold: 1) criteria priority to improve the quality of C2C e-commerce websites and 2) website quality ranking of C2C e-commerce.

User experience modeling on consumer-to-consumer (c2c) e-commerce website

Rapid technology and communication developments have brought us to the digital age, where its media, such as the internet become one famous media that is widely used for various purposes around the world. Many organizations view this situation as a space or new media to do business expansion as an innovative way of doing activities that meet the communities’ expectations of economy-related aspects of convenience, known by the term of e-commerce as one alternative options for the organizations as a medium of information to facilitate the presence of interaction between sellers and buyers without limited time and space, where their progress was supported by the use of the website. How the user experience in interacting with the website become an important key in the advancement of the e-commerce. This research provides user experience modeling on e-commerce website in order to be able to increase the success of e-commerce business performance through the use of the website. This research focuses on e-commerce type of C2C in Indonesia with the aim to model the relationships of each user experience factors using structural equation modeling.

A Study on Credit Appraisal System of C2C E-Commerce <br/>—Based on the Analysis of Taobao

In the virtual network environment, the C2C e-commerce has some problems in product quality, service, credit speculation. At present the credit appraisal system offered by domestic C2C e-commerce website ensures the network security to a certain extent while it has some problems in identity verification, evaluation rules and model, credit of buyers and sellers and so on. Focused on the largest national C2C shopping website—Taobao, this article mainly analyzes the present situations and problems of the credit appraisal system, puts forward some improved suggestions of the real-name authentication, credit and transaction appraisal rules and so forth, and then establishes improved credit appraisal system.

Research on Application of Spread Communication Model in C2C E-commerce Website

With the popularization of shopping online, C2C e-commerce website has become one part of net citizens’ lives. Research on spread communication model shall have a great significance to the spread and popularization of C2C e-commerce website. In accordance with C2C e-commerce model, the paper shall mainly illustrate three major application aspects, including target audience analysis, content requirement of communication, and communication strategy application.

The Research on C2C E-Commerce Website Using Data Mining Tools to Improve the Network Marketing Effect

We used the principle of hyperlink analysis method to mine the website data according to the indicators of the hyperlink analysis. We selected Taobao.com as an object of study. The evaluation indicators of network marketing effect were page views, sales quantity, sales, the number of adding store to bookmark . According to our research, we find Taobao.com stores can use data mining tool to obtain the very good marketing effect.

C2C E-Commerce Recommender System Based on Three-Dimensional Collaborative Filtering

To solve the special recommendation problem in C2C e-commerce websites, a three-dimensional collaborative filtering recommendation method which can recommend seller and product combinations is proposed by extending the traditional two-dimensional collaborative filtering method. And a C2C e-commerce recommender system based on the proposed method is designed. The framework of the system and the key calculations in the recommendation process are discussed. The system firstly calculates seller similarities using seller features, and fills the rating set based on sales relations and seller similarities to solve the sparsity problem of the three-dimensional rating data. Then it calculates the buyer similarities using historical ratings, decides neighbors and predicts unknown ratings. Finally it recommends the seller and product combinations with the highest prediction ratings to the target buyer. A true data experiment proves the good recommendation performance of the system.

ANALISIS PENGARUH FAKTOR - FAKTOR PEMBANGUN TRUST TERHADAP PARTISIPASI PENGGUNA PADA C2C E - COMMERCE STUDI KASUS : FORUM JUAL BELI KASKUS

C2C (consume r-to -consumer) e-commerce is currently growing fast in Indonesia. A C2C ecommerce website provides a marketplace in which buyers and sellers meet and make commercial transactions. Such a transaction requires high trust from both parties, since marketplaces typically have no or less sufficient mechanisms to assure that a transaction is safe. This paper analyses whether several factors that build trust has influence on ones willingness to participate in a transaction in a C2C e-commerce website. Factors that are considered are structural assurance, familiarity, perceived similarity, perceived reputation and perceived risk. Data are collected using a Likert-scaled questionanaire from 109 respondents i.e. The users of FJB (Forum Jual Beli, trading forum) Kaskus. Data are analysed using the SEM (Structural Equation Model) method. The results show that (i) perceived reputation has positive and significant influence on trust; and (ii) trust has positive and significant influence on participation

Influencing Factors of Credibility in C2C Ecommerce Web Sites

Honesty is the key to success of e-commerce, China's e-commerce is in the ascendant, but credit problems are becoming more and more serious, become the bottleneck. This paper puts forward three reasons, including the reliability of the information, credit standing of the main body and the safety of the trade, which cause the credit crisis. The paper analyzes the reason of the influence factors of e-commerce in China, and considers that the credit crisis can be walk out, none but strengthen credit consciousness, establish and perfect the personal credit system and legal norms, improve means of payment, and strengthen technical support.