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Xiaoqian Zhuo and Wei-Tsong Wang
With the development of the sharing economy, the collaborative consumption model has become more popular and has changed the way people engage in tourism. This study aims…
With the development of the sharing economy, the collaborative consumption model has become more popular and has changed the way people engage in tourism. This study aims to explore. consumer experience in different types of rooms on a shared accommodation platform.
In this study, the authors divided the rooms on the shared accommodation platform into a budget type and a luxury type according to the room price and used content analysis to analyze 15,710 online reviews published on Xiaozhu.
This study found that consumer expectations varied depending on the room type. “Host,” “room,” “transportation and location” and “value” were the four common topics that consumers paid attention to in both room types. “Environment” and “objective conditions” were the particular focuses of the budget room consumers. However, consumers cared about “aesthetics” and “accommodation purpose” when staying in luxury rooms. These results reflected the influence of room prices on consumer experiences.
To the best of the authors’ knowledge, this study is one of the first to compare the consumer experience in rooms at different price points based on the evidence provided in online reviews. Latent Dirichlet allocation (LDA) analysis was used to extract the underlying topics from the online reviews, which provided more exciting results. This study leads to a comprehensive understanding of the consumer experience from the perspective of expectation theory, enriching the prior research on shared accommodation platforms.
研究目的: 随着共享经济的发展, 协同消费模式越来越流行, 改变了人们从事旅游的方式。本研究旨在探索共享住宿平台上不同类型房间的消费者体验。
在这项研究中, 我们根据房价将共享住宿平台上的房间分为经济型和豪华型, 并使用内容分析分析了在Xiaozhu上发布的 15,710 条在线评论。
我们发现消费者的期望因房间类型而异。 “房主”、“房间”、“交通与位置”、“价值”是消费者在两种房型中关注的四个共同话题。 “环境”和“客观条件”是经济型房消费者特别关注的焦点。然而, 消费者在入住豪华客房时, 更关心的是“美学”和“住宿目的”。这些结果反映了房价对消费者体验的影响。
这项研究是根据在线评论提供的证据比较不同价位客房的消费者体验的首批研究之一。潜在狄利克雷分配（LDA）分析用于从在线评论中提取潜在主题, 这提供了更令人兴奋的结果。我们的研究从期望理论的角度对消费者体验进行了全面的理解, 丰富了以往关于共享住宿平台的研究。