{"title":"Spatial coopetition and peer-to-peer accommodation price","authors":"","doi":"10.1016/j.annals.2024.103826","DOIUrl":null,"url":null,"abstract":"<div><p>Peer-to-peer accommodation prices can be derived from individual accommodation and destination characteristics. This study focuses on spatially coopetitive pricing among peer-to-peer accommodations at both individual and clustered levels. Applying spatial analytical techniques to 2090 Airbnb properties across 275 census tracts in Miami-Dade County, Florida, we model peer-to-peer accommodation prices based on three coopetition antecedents: market commonality, resource similarity, and supply commonality. The results reveal the presence of three clusters of spatially coopetitive pricing dynamics, namely, cooperation-dominant, competition-dominant, and balanced coopetition, across coopetition precursors. This study offers practical guidance for accommodation rental platforms, hosts, and policymakers regarding the role of coopetitive pricing strategies shaped by tourism demand, supply, and resources within and across tourism destinations.</p></div>","PeriodicalId":48452,"journal":{"name":"Annals of Tourism Research","volume":null,"pages":null},"PeriodicalIF":10.4000,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Tourism Research","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0160738324001038","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HOSPITALITY, LEISURE, SPORT & TOURISM","Score":null,"Total":0}
引用次数: 0
Abstract
Peer-to-peer accommodation prices can be derived from individual accommodation and destination characteristics. This study focuses on spatially coopetitive pricing among peer-to-peer accommodations at both individual and clustered levels. Applying spatial analytical techniques to 2090 Airbnb properties across 275 census tracts in Miami-Dade County, Florida, we model peer-to-peer accommodation prices based on three coopetition antecedents: market commonality, resource similarity, and supply commonality. The results reveal the presence of three clusters of spatially coopetitive pricing dynamics, namely, cooperation-dominant, competition-dominant, and balanced coopetition, across coopetition precursors. This study offers practical guidance for accommodation rental platforms, hosts, and policymakers regarding the role of coopetitive pricing strategies shaped by tourism demand, supply, and resources within and across tourism destinations.
期刊介绍：
The Annals of Tourism Research is a scholarly journal that focuses on academic perspectives related to tourism. The journal defines tourism as a global economic activity that involves travel behavior, management and marketing activities of service industries catering to consumer demand, the effects of tourism on communities, and policy and governance at local, national, and international levels. While the journal aims to strike a balance between theory and application, its primary focus is on developing theoretical constructs that bridge the gap between business and the social and behavioral sciences. The disciplinary areas covered in the journal include, but are not limited to, service industries management, marketing science, consumer marketing, decision-making and behavior, business ethics, economics and forecasting, environment, geography and development, education and knowledge development, political science and administration, consumer-focused psychology, and anthropology and sociology.
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