A Novel Algorithm for Analysis of Buyer Satisfaction for the Third Party Logistics in C2C E-Commerce Market.

The development level of logistics has been far more behind the demand for E-commerce development and logistics is becoming the bottle neck restricting the E-commerce development of China. In this paper, we focus on buyer satisfaction for the third party logistics in C2C E-commerce market, based on the ORC model, put forward correlative hypotheses and verified the model and hypotheses by means of questionnaire survey and data analysis. The research results are that under C2C net shopping background, operation quality shows no significant positive effect, relationship quality shows less significant positive effect and cost quality shows significant positive effect to buyer satisfaction for the third party logistics, and relationship quality shows significant positive effect to operation quality and cost quality. In C2C E-commerce market, the third party logistics enterprises can take the research results as reference if they intend to improve customer satisfaction degree and obtain further development. [ABSTRACT FROM AUTHOR]