Construction Basis of C2C E-commerce Credit Evaluation Index

2021 ◽  
pp. 1782-1796
Author(s):  
Hua Peng
Keyword(s):  
Theoretical Basis ◽  
Evaluation System ◽  
Evaluation Model ◽  
Business Services ◽  
Level Indicator ◽  
Credit Evaluation ◽  
Existing Problems ◽  
Evaluation Time ◽  
Credit Evaluation System ◽  
Timely Delivery

C2C e-commerce rapidly develops, which is an important economic pillar. With the deepening of the network life, more and more people join the C2C e-commerce transactions. However, the credit problem of C2C e-commerce has serious hidden security problems. So, the paper analyzes the present situation of C2C e-commerce credit problem and points out the existing problems. Scientifically, systematically, validity, feasibility and comparability are taken as principles to establish the first level indicators that including commodity property, business services, and logistics services and to establish the secondary indicators that reasonable price, timely delivery and so on. Using AHP, the weight of each level indicator can be calculated. C2C e-commerce evaluation model is established. Then the model is improved on transaction amount and evaluation time, so it can provide a theoretical basis for C2C e-commerce credit evaluation system.

Construction Basis of C2C E-commerce Credit Evaluation Index

2017 ◽  
Vol 15 (4) ◽  
pp. 11-23 ◽  
Author(s):  
Hua Peng
Keyword(s):  
Evaluation System ◽  
Evaluation Model ◽  
Present Situation ◽  
Business Services ◽  
Level Indicator ◽  
Credit Evaluation ◽  
Existing Problems ◽  
Evaluation Time ◽  
Credit Evaluation System ◽  
Timely Delivery

C2C e-commerce rapidly develops, which is an important economic pillar. With the deepening of the network life, more and more people join the C2C e-commerce transactions. However, the credit problem of C2C e-commerce has serious hidden security problems. So, the paper analyzes the present situation of C2C e-commerce credit problem and points out the existing problems. Scientifically, systematically, validity, feasibility and comparability are taken as principles to establish the first level indicators that including commodity property, business services, and logistics services and to establish the secondary indicators that reasonable price, timely delivery and so on. Using AHP, the weight of each level indicator can be calculated. C2C e-commerce evaluation model is established. Then the model is improved on transaction amount and evaluation time, so it can provide a theoretical basis for C2C e-commerce credit evaluation system.

Research on Credit Evaluation System of Electricity Retail Companies

2021 ◽  
Author(s):  
Zhiwei Ying ◽  
Tao Yu ◽  
Yupeng Huang ◽  
Hanfu Wang ◽  
Dunnan Liu ◽  
...  
Keyword(s):  
Evaluation System ◽  
Credit Evaluation ◽  
Credit Evaluation System

Credit Risk Management for College Students: An Analysis of Influencing Factors Based on 5C Approach

2021 ◽  
Vol 12 (1) ◽  
pp. 105-105
Author(s):  
Xiang Zou ◽  
Jinting Zhao ◽  
Yun Tong
Keyword(s):  
College Students ◽  
Risk Management ◽  
Credit Risk ◽  
Evaluation System ◽  
Least Squares Method ◽  
Credit Risk Management ◽  
Credit Evaluation ◽  
Personal Credit ◽  
Depth Analysis ◽  
Credit Evaluation System

This paper focuses on the construction of college students' credit evaluation system and credit risk management under the background of big data. Firstly, based on the 5C approach, this paper evaluates the personal credit of college students from 5 dimensions and 24 indicators, which finally contribute to the establishment of the credit evaluation system for college students. Then, the partial least squares method is used to build the structural equation model to evaluate the effectiveness of the credit evaluation system for college students. According to the in-depth analysis of PSL-SEM, the factors that affect the credit risk of college students are effectively evaluated, and it has contributed to the establishment and improvement of the credit system of college students. Keywords: Personal Credit, Credit Evaluation, Credit Risk, 5C Approach, PLS-SEM.

Research on C2C Credit Evaluation Model Based on Perceived Credibility of the Buyer

2014 ◽  
Vol 687-691 ◽  
pp. 4984-4989
Author(s):  
Chen Xing Bai
Keyword(s):  
Consumer Protection ◽  
Scoring System ◽  
Evaluation Model ◽  
Credit Scoring ◽  
Credit Evaluation ◽  
Perceived Credibility ◽  
Model Based ◽  
Evaluation Time ◽  
Transaction Value

Focusing on the lack of credit scoring system and credit evaluation model, the paper builds <qualitative perception, quantitative perception> reputation tuple based on perceived credibility of the buyer. Qualitative perception is six indicators assembly, including shop image, customer communication, payment, whether to join the consumer protection service , whether to join the Commercial Union and feedback comment; Quantitative perception is three indicators assembly, including buyer credit , the transaction value of the goods and evaluation time. Through analyzing of the case, reputation tuple can be more objective, more scientific, more comprehensive response to the seller's real credibility.

The Optimized Evaluating Model and Method of Transaction Credit for E-Commerce

2014 ◽  
Vol 989-994 ◽  
pp. 4980-4984
Author(s):  
Xi Kun Liang ◽  
Li Min Tao
Keyword(s):  
Evaluation System ◽  
Rating Scales ◽  
Credit Evaluation ◽  
Advantages And Disadvantages ◽  
Credit Evaluation System ◽  
Product Rating ◽  
Evaluating Method

Based on the brief introduction of the credit evaluation system for the primary e-commerce platforms, the advantages and disadvantages of the existing systems were analyzed in details. Moreover, some important problems of e-commerce credit evaluation were systematically discussed, which include the uniform standard of rating scales and marks, the pattern of product rating, the evaluating model and algorithm of sellers and customers credit, etc. A complete credit evaluating model was constructed and an effective credit evaluating method was given. They can be selected as the reference for the practice of credit evaluation for e-commerce.

Sign in / Sign up

Export Citation Format

Share Document