Bilateral Positioning Model for the E-commerce Platform
Xiaotong Du, Rui Guo, Lingyi Xiao · Advances in economics, business and management research/Advances in Economics, Business and Management Research · 2021
As the link between consumers and merchants, e-commerce platforms have problems that need to be improved.In particular, the accuracy and authenticity of the information they provide cannot be guaranteed, which will harm market fairness and consumers' right to know.To improve the presence of the e-commerce platform, the C2B model and big data are used, optimizing the consumer shopping experience and helping businesses to develop in the direction of professionalism.Based on this research concept, this article uses the systematic literature research method and collects professional literature through the search of keywords such as C2B, e-commerce platform, big data, and supply chain.The article summarizes the findings of the literature and finds imperfections, thereby innovating the Bilateral Positioning Model, which is, respectively optimizing the UI interface of the merchant and the consumer, and embedding the supervision module so that consumer evaluation can play an important role in the healthy competition of the platform.While describing the Bilateral Positioning Model, this article also analyzes its feasibility and practicability and theoretically proves the sustainability of the model.