The Effect of Online Exhibition Service Quality on Customer Satisfaction, Preference and Revisit

Abstract

As the novel coronavirus infection disease situation becomes common in the future, exhibition organizers are making their own breakthroughs and are focusing on digital transformation of exhibitions. Along with this global trend, online exhibition model, especially The China Import and Export Fair（Canton Fair）has become popular since the 127th exhibition. The online exhibition was held online from June 15 to 24, 2020.The purpose of this study is to study the relationship between customer satisfaction, preference, and re-visit based on the case of online exhibition at Guangzhou Fair. According to the research results, how to improve the quality of online exhibition service to meet the needs of customers in the future. In this study, SPSS 23.0 is used to verify the validity of the data, AMOS 24.0 is used to model the structural equations of the variables and to verify the relationship between the variables.