Understanding Tourists Repurchase Intention on Airbnb from the Perspective of Low Carbon and Extended Expectation-Confirmation Model

Abstract

Airbnb is a popular and low-carbon platform for tourism in the sharing economy. This paper utilized the extended expectation-confirmation model (ECM) and collected 330 valid data through a questionnaire survey to analyze the psychological behavior of tourists during their Airbnb experience. The results demonstrate that the service quality, the concept of low-carbon service, friendly communication with the host, and platform security significantly impact consumers' satisfaction. Highly satisfied consumers are more likely to continue using Airbnb with low-carbon consciousness and engage in electronic word-of-mouth communication. Therefore, ensuring customer satisfaction and low-carbon consciousness are critical to win on the Airbnb platform and attracting more hosts and guests. This study contributes to the existing literature on Airbnb and offers practical implications for the platform and hosts to attract more guests and generate positive word-of-mouth.