Achieving High Booking Rates on Airbnb Platform : Influencing Factors and Their Configurational Patterns

다국어 초록 (Multilingual Abstract)

In the last few years, sharing economy platforms have become popular, and they have changed consuming activities and the ecosystem of businesses. One of the most popular platforms is Airbnb which provides accommodation sharing services. Airbnb continues to gain popularity at an astonishing rate at the global level, with the total number of users. But even on the same Airbnb platform, performance (i.e., booking rate) differs depending on the host. Nevertheless, there is a lack of research on what factors influence these different outcomes and in which cases higher outcomes are achieved. Therefore, the purpose of this study is to (1) identify the factors influencing high booking rates and (2) explore which configurations of these factors produce high booking rates. In this study, the factors affecting the high booking rate are divided into three areas: reputation, service quality, and price sensitivity. Data collected from 500 New York city accommodations were used for the analysis. In this study, the fuzzy-set qualitative comparative analysis (fsQCA) approach was applied to find the configurational patterns of influential factors that lead to high performance (i.e., booking rates). As a result, a total of four patterns were derived. This study has a theoretical contribution to derive the factors influencing the high booking rate in the sharing economy platform. There is also a practical contribution to suggesting Airbnb hosts strategic implications about what factors should be considered important to achieve higher booking rates.

목차 (Table of Contents)

• Abstract
• Introduction
• Literature Review
• Reputation
• Service Quality
• Price Sensitivity
• Conceptual Model
• Research Methodology and Data Analysis
• fsQCA
• Data Collection
• Data Calibration
• Analysis Results
• Discussion
• Conclusion
• Reference