JOURNAL ARTICLE
Does Virtual Reality Help Property Sales? Empirical Evidence from a Real Estate Platform.
Published In: Information Systems Research (INFORMS), 2025, v. 36, n. 2. P. 1011 1 of 3
Database: Business Source Ultimate 2 of 3
Authored By: Yan, Zhenbin; Meng, Zixuan; Tan, Yong 3 of 3
Abstract
This article examines the impact of nonimmersive virtual reality (VR) technology, specifically VR Tours, on market outcomes in real estate sales using a large dataset from a leading Chinese real estate platform. The study finds that VR significantly reduces properties' time-on-market by 28%–49%, enhancing transaction efficiency, but does not affect the selling price, indicating VR acts as an "efficiency enhancer" rather than a "market value influencer." Mechanism analyses reveal that VR's effectiveness is greater for properties with higher product involvement (more rooms), higher quality (newer properties), and lower real estate agent service quality, highlighting VR's roles in providing richer, credible information and serving as an alternative information source to agents. Additionally, VR positively influences consumers' online decision-making by increasing web visits, attentions, and conversion rates. These findings contribute to literature on VR in high-involvement product marketing and offer practical implications for property sellers, agents, and platforms aiming to improve sales efficiency without altering market value.
Additional Information
- Source:Information Systems Research (INFORMS). 2025/06, Vol. 36, Issue 2, p1011
- Document Type:Article
- Subject Area:Computer Science
- Publication Date:2025
- ISSN:1047-7047
- DOI:10.1287/isre.2021.9138
- Accession Number:187706216
- Copyright Statement:Copyright of Information Systems Research (INFORMS) is the property of INFORMS: Institute for Operations Research & the Management Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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