Factors affecting O2O e-commerce take-away online review

The paper analyzed what affecting O2O e-commerce take-away industry online review in China in recent years, and how these factors work. Also, it obtained the ranking of these factors' influence. The study used Rost CM6.0 to draw some information from a third-party take-away platform, and established a model by using binary logistic regression. Lastly, SPSS was used to analyze data. The results are:1) affecting factors contain time, price, convenience, service and advertisement;2) time and price have negative effect on online review, while convenience, service and advertisement have positive effect on online review;3) the impact extent of convenience is high than that of other factors.