{"title":"Host profile photos and listing performance: The role of visual cue complexity in peer-to-peer accommodation","authors":"Jian-Wu Bi, Zi-Han Wei, Tian-Yu Han","doi":"10.1016/j.tourman.2025.105219","DOIUrl":null,"url":null,"abstract":"<div><div>This study investigates the impact of person-related complexity and background complexity in hosts' profile photos on listing performance in the context of peer-to-peer accommodation, while accounting for the moderating role of hosts' self-description complexity. Through deep learning techniques and econometric modeling, we analyzed a dataset comprising 36,186 listings. The key findings are as follows: (1) There exists an inverted U-shaped relationship between the volume of person-related information in hosts' profile photos and listing performance metrics (booking volume and word-of-mouth engagement); (2) The volume of background-related information exhibits a U-shaped relationship with booking volume but shows no significant association with word-of-mouth engagement; (3) As the information volume in host self-descriptions increases, the inverse U-shaped relationship between the volume of person-related information and listing performance becomes less pronounced. This study advances the existing research on visual cues in peer-to-peer accommodation and offers practical implications for both platforms and hosts.</div></div>","PeriodicalId":48469,"journal":{"name":"Tourism Management","volume":"111 ","pages":"Article 105219"},"PeriodicalIF":12.4000,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tourism Management","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0261517725000895","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
引用次数: 0
Abstract
This study investigates the impact of person-related complexity and background complexity in hosts' profile photos on listing performance in the context of peer-to-peer accommodation, while accounting for the moderating role of hosts' self-description complexity. Through deep learning techniques and econometric modeling, we analyzed a dataset comprising 36,186 listings. The key findings are as follows: (1) There exists an inverted U-shaped relationship between the volume of person-related information in hosts' profile photos and listing performance metrics (booking volume and word-of-mouth engagement); (2) The volume of background-related information exhibits a U-shaped relationship with booking volume but shows no significant association with word-of-mouth engagement; (3) As the information volume in host self-descriptions increases, the inverse U-shaped relationship between the volume of person-related information and listing performance becomes less pronounced. This study advances the existing research on visual cues in peer-to-peer accommodation and offers practical implications for both platforms and hosts.
期刊介绍:
Tourism Management, the preeminent scholarly journal, concentrates on the comprehensive management aspects, encompassing planning and policy, within the realm of travel and tourism. Adopting an interdisciplinary perspective, the journal delves into international, national, and regional tourism, addressing various management challenges. Its content mirrors this integrative approach, featuring primary research articles, progress in tourism research, case studies, research notes, discussions on current issues, and book reviews. Emphasizing scholarly rigor, all published papers are expected to contribute to theoretical and/or methodological advancements while offering specific insights relevant to tourism management and policy.