REVENUE RECOGNITION FOR E-COMMERCE

Abstract

In this modern era, technology is starting to improving and have a big impact for our daily life, even now we can buy things through our electronic devices. Ecommerce is one of the results of this technology’s improvement, but until now there are a lot of e-commerce that keep their financial statement as classified information, resulting unclear transactions and treatments, which can be interpreted as “grey” area in their financial statement. My motivation and aim for this research are to reveal the “grey” area to the public by understanding the resource of their revenue and identify the transaction based on SFAS 23 and comparing it to foreign e-commerce with the same business model. I hope that I can reveal to the public the “grey” area in ecommerce with solid evidence. Though I already do my best, the limitations still do exist, each e-commerce differs one to another in slightly to a lot of differences, I took my sample here for e-commerce C2C (consumer to consumer) business model, so there are possibilities that my theory is only focusing in e-commerce C2C (consumer to consumer) business model. I hope future research can cover the other types of ecommerce.