Spatial coopetition and peer-to-peer accommodation price

被引:0
|
作者
Lee, Hanna [1 ]
Jang, Seongsoo [2 ,3 ]
Kim, Jinwon [4 ,5 ,6 ]
机构
[1] Univ New Hampshire, Paul Coll Business & Econ, 10 Garrison Ave, Durham, NH 03824 USA
[2] Cardiff Univ, Cardiff Business Sch, Cardiff, Wales
[3] Aberconway Bldg,Colum Dr, Cardiff CF10 3EU, Wales
[4] Univ Florida, Dept Tourism Hospitality & Event Management, Gainesville, FL 32611 USA
[5] Kyung Hee Univ, Smart Tourism Educ Platform, Seoul, South Korea
[6] 190D Florida Gym,POB 118208, Gainesville, FL 32611 USA
关键词
Spatial coopetition; Peer-to-peer accommodation price; Market commonality; Resource similarity; Supply commonality; REGIONAL-ANALYSIS; AIRBNB LISTINGS; COOPERATION; COMPETITION; DETERMINANTS; ATTRIBUTES; NETWORKS; DYNAMICS; LOCATION; CITIES;
D O I
10.1016/j.annals.2024.103826
中图分类号
F [经济];
学科分类号
02 ;
摘要
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. (c) 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
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页数:16
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