Issue |
E3S Web Conf.
Volume 235, 2021
2020 International Conference on New Energy Technology and Industrial Development (NETID 2020)
|
|
---|---|---|
Article Number | 03081 | |
Number of page(s) | 4 | |
Section | Analysis on the Development of Intelligent Supply Chain and Internet Digital Industrialization | |
DOI | https://doi.org/10.1051/e3sconf/202123503081 | |
Published online | 03 February 2021 |
Analysis on the Trust Game in Second-hand Transection
The High School Affiliated to Renmin University of China, Beijing, China
In modern society, every one of us is fully aware that trust and credit are the substantial principle that we must own to build up our relationship, networking or individual development from beginning of birth to end of journey. Thus, trust and credit are undoubted basis for our social composition, especially at current stage, where e-commerce or e-trade mode change our traditional way of life significantly. One interesting thing we are witnessing is that, more and more popularity of the online second-hand product market, so how to understand trust game theory properly, with follow-up the rule to implement in this market, is essentially important for both of the buyer and the seller. Herein this article, some real cases’ studies from China second hand market will help reader for this purpose illustration. This study contains much of the current study and discoveries of trust game and second-hand transaction market in China. Based on the previous knowledge, the suggestions for both consumers and the second-hand market producers are given.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.