Purpose

Listing popularity indicates the public’s interest in a listing on peer-to-peer (P2P) accommodation platforms. Although listing popularity is crucial to the survival and development of the P2P accommodation platform, this issue has received limited attention in the tourism management discipline. Drawing upon the heuristic-systematic model and uncertainty reduction theory, this study aims to examine the impacts of host and property attributes on listing popularity.

Design/methodology/approach

The model was empirically validated using a data set of 6,828 listings on a popular P2P accommodation platform called Airbnb. This study chooses a hierarchical regression analysis to perform the model validation.

Findings

The findings reveal that host self-disclosure, host reputation and host identity verification are key host attributes in promoting listing popularity. Meanwhile, property visual description, property photo verification and property visual appeal are important property attributes in facilitating listing popularity.

Research limitations/implications

The study adds useful insights on understanding on determinants of listing popularity. Future researchers are recommended to empirically verify the underlying psychological mechanism by which host attributes and property attributes influence listing popularity.

Practical implications

The P2P accommodation platform should promote the listing popularity by taking advantage of the host attributes and providing property attributes.

Originality/value

First, to the best of the authors’ knowledge, this study is one of the few studies to explore the formation of the listing popularity. Second, this study examines how the host and property attributes promote the listing popularity through the heuristic and systematic information processing modes.

中文翻译：

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点对点住宿平台上的上市受欢迎程度：启发式系统和减少不确定性的观点

目的

房源受欢迎程度表明公众对点对点 (P2P) 住宿平台上的房源感兴趣。尽管上市人气对P2P住宿平台的生存和发展至关重要，但这个问题在旅游管理学科中受到的关注有限。本研究利用启发式系统模型和不确定性降低理论，旨在检验房东和房产属性对上市受欢迎程度的影响。

设计/方法/方法

该模型使用一个名为 Airbnb的流行P2P住宿平台上的 6,828 个列表的数据集进行了实证验证。本研究选择层次回归分析来进行模型验证。

发现

调查结果显示，主机自我披露、主机声誉和主机身份验证是提升房源人气的关键主机属性。同时，房产视觉描述、房产照片验证和房产视觉吸引力是促进房源人气的重要房产属性。

研究限制/影响

该研究增加了对了解上市受欢迎程度决定因素的有用见解。建议未来的研究人员通过经验验证主机属性和属性属性影响上市受欢迎程度的潜在心理机制。

实际影响

在P2P住宿平台应通过采取主属性的优势，并提供财产属性推动上市普及。

原创性/价值

首先，据作者所知，本研究是为数不多的探索上市人气形成的研究之一。其次，本研究通过启发式和系统化的信息处理模式，考察了主机属性和属性属性如何促进房源热度。