The Ascent of the Sharing Frugality – Airbnb Host and Guest Influence

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Added on  2021/10/01

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AI Summary
This report examines the Airbnb business model, focusing on the influence of hosts and guests within its online hotel business. The study utilizes two datasets: a public dataset with guest reviews and a survey dataset with host ratings. The research aims to quantify the impact of host and guest qualifications on the business model, using linear regression models to analyze the data. The analysis explores factors such as customer satisfaction, the impact of new information technology, and the importance of host-guest synchronization. The report includes descriptive summaries of the datasets, experimental design, and a discussion of findings, limitations, and suggestions for future research. The study concludes that utilizing new information technology for advertising and improving customer satisfaction is key to avoiding cancellations and improving the customer base, offering insights for future online travel agents. The report also acknowledges limitations, such as the data being collected from only five provinces in the United States, which might restrict the generalization of the results of the study. The report also provides figures to illustrate the findings.
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