While tourists have traditionally used peer-to-peer platforms for accommodation and dining, they can now also access travel experiences through these platforms thanks to a new product: online travel experiences. With the emergence of this product, a fundamental understanding of its key attributes and their impact on user satisfaction is essential. However, such understanding has been rarely explored. This research aims to address the knowledge gap by understanding Airbnb Online Experiences from the perspective of tourists' satisfaction. Utilizing the Kano model, this study identifies six key attributes of Airbnb Online Experiences and analyzes their dynamic effects on tourist satisfaction through aspect extraction and regression analysis of online reviews. This research highlights how the relationship between these attributes and tourist satisfaction evolved during the COVID-19 pandemic. This study serves as a reference for future research on online travel experiences by elucidating the components of this emerging product.

中文翻译：

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对点对点平台中在线旅行体验的满意和不满意的属性


虽然游客传统上使用点对点平台进行住宿和用餐，但现在他们也可以通过这些平台获得旅行体验，这要归功于一种新产品：在线旅行体验。随着该产品的出现，对其关键属性及其对用户满意度的影响的基本了解至关重要。然而，这种理解很少被探索。本研究旨在通过从游客满意度的角度理解 Airbnb 线上体验来解决知识差距。本研究利用 Kano 模型，确定了 Airbnb 在线体验的六个关键属性，并通过在线评论的方面提取和回归分析分析了它们对游客满意度的动态影响。这项研究强调了这些属性与游客满意度之间的关系在 COVID-19 大流行期间是如何演变的。本研究通过阐明这一新兴产品的组成部分，为未来在线旅行体验的研究提供参考。