Study On The Recommended Performance Evaluation Of Social Commerce Faced To A Third Party Website

After years of development, Social Networking Sites and E-Commerce Sites performance moreand more professional. But they both came up to a bottleneck problem after collecting amount ofusers and growing market scrope during their further development. Social Networking Site andE-Commerce Sites each came up with their predicament of less in commerce and less in userviscosity. However, it is not difficult to find that there is a very clever relationship between them:high user viscosity in SNS and active business in E-commerce make up an important resource whichwas wanted everywhere. So social commerce, which have both social and commerce function cameup a popular form. So it is an interesting topic to exploring the operation of social commerce and thecooperation between SNS and E-Commerce Sites. This research will explore if social sharing willrecommend the sales behavior of e-commerce sites, and which factor may affect the effect of thisrecommendation.After several years of rapid development, each has basically find its own position in the market,and gain number of users in some specific field. But they got lost after gain the popularity. But nowhow to use this wealth became an industry problem. On the other side, for, the incessant competitorsstacked up against with each other in the matured market. Online shopping has been accepted bymore and more people as a new consumption form. Even more E-Commerce industry has startedconsuming offline shopping mall business. With the expanding of market scrope, for every singlee-commerce platform, who wants to want to seize their own share of the cake, things seemed notnecessary and hard. But the mistrust in the specific environment can affect the customers‘repeatpurchase decision. It is a new trend for Social Networking Sites becoming commercial andE-Commerce Sites became social. This show Social Networking Sites and E-Commerce Sites eachhave other’s important resources, thenThis study will take Meilishuo.com which is the latest Social Commerce Site as the object ofempirical analysis to study if users‘sharing behavior will recommend the sales behavior ofhyperlinked products. And explore the attributes of informers and products are related to theintensity of recommendation.This paper uses quantitative research methods, with two data collection. The first time was forthe point time, includes six categories of products which were on the list of top shared products with100in each category. The main contents include the data of sharing for each product, Sales data, anddata of users‘social indicator. The second time was a longitudinal data collection, one particularcategory was selected. Considering the impact of sharing behavior on sales is a persistent effect, thesecond data we collected was a six-day longitudinal data about100products of sharing data, salesand informers‘social indicator data. We focused on the impact of sharing dates on the sales atdifferent time points, and the use of products informers‘reputation, shop class and product price asmoderate variables, analysis of these three variables to the recommended performance at differentperiods. The study shows, users‘sharing behavior in Meilishuo indeed have significantrecommendation on product sales, and this role will decreases with the departure of the sharing peak, informers with high reputation and high price of the product will be significant moderating effect onrecommendation. Thus, we suggest: Social Commerce Sites such as Meilishuo, should simplify andstrengthen the construction of sharing, streamline operations, to attract more users and increase thequantity of sharing. Add more social approaches to enhanced contacts between users, makingproducts sharing more effective here. For E-Commerce Sites such as Taobao, should strengthensocial co-channel on e-commerce construction, cooperate with social commerce through clearbenefits to attract users transfer naturally into their customers.