| dc.description.abstract | With the rapid development of information industry, the global information process is
constantly changing people's way of life, the world has stepped into a new era of network
economy. The online shopping, as a new form of shopping is accepted by more and more people
and has developed quickly, influencing the development of economy heavily. The scale of
online shopping transactions is getting higher and higher, and the proportion of online shopping
in the total amount of retail products continues to increase. However, with the rapid growth of
online shopping business, the absolute value of its resource loss will also increase
synchronously. With the increasing return events, the proportion of returned goods in the sales
volume keeps increasing. The return process is a non-value-added service for enterprises, but
this kind of service has a great impact on customers' shopping satisfaction.
The paper studies on the online shopping reverse logistics problems, focusing on the
comparative analysis of the causes, characteristics and existing problems of the returned goods flow model in the existing online shopping environment by studying the return logistics in the online shopping environment, combined with the theories and methods of e-commerce, reverse logistics. In view of this problem, the optimization plan and specific measures to be taken for the management of returned goods flow were proposed, which caused the industry to think
about the return logistics. Reduce the generation of return goods flow from the source,
effectively reduce the cost of return goods flow, improve the service quality of return goods
flow, improve the entire return goods flow system, and accelerate the good and fast
development of e-commerce industry. | sv |
