The study aims to investigate determinants of performance indicator and perceptions of existing and potential customers in accommodation sharing. This study uses data of Airbnb in Busan and Jeju from January 1 to December 31 in 2018, provided by AirDNA. The total number of listed accommodation sharing were 5,109 accommodations in Busan and 11,502 accommodations in Jeju. More than 90 property types of registered accommodation are subcategorized and re-classified in this study. Study 1 examined current usage and effects of factors on performance indicator in tourism destinations by applying Airbnb data. Study 2 investigated effects of perceived factors on satisfaction, intention to use, loyalty, and tourism competitiveness by applying online survey data. This study applies statistical analyses such as factor and regression analyses, ANOVA, t-test, and MANOVA. Results of Study 1 showed that usage and effects of accommodation sharing differ from regulation that is related to sharing types. Effects also differ based on travel destinations. Results of Study 2 showed how customers perceive accommodation sharing differ from pure meaning of sharing. The results of Study 1 and 2 found significant effects of price and service factors on performance indicator and customer satisfaction. The findings of Study 2 showed significant effects on loyalty and tourism competitiveness.

Abstract
1. Introduction
2. Literature Review
3. Study 1: Use of Secondary Data
    3.1. Current Usage of Airbnb in TravelDestinations
    3.2. Current Usage of Airbnb Based onResidential Sharing Types
    3.3. Current Usage of Airbnb Based on OverallRating
    3.4. Hypothesis Development
    3.5. Methodology
    3.6. Test of Hypotheses
4. Study 2: Use of Primary Data
    4.1. Hypotheses Development
    4.2. Methodology
    4.3. Data Analysis
5. Conclusion
References

• Yooncheong CHO(KDI School of Public Policy and Management) Corresponding Author.