Otros/as autores/as

Agencia Estatal de Investigación

Fecha de publicación

2025-09-10



Resumen

This article investigates the evolution and current state of hospitality distribution by analyzing market share from various distribution channels using real data from hospitality management systems. The study aims to provide hoteliers and researchers with valuable insights for optimizing price and volume strategies in response to the rise of online travel agencies(OTAs). The research employs compositional data (CoDa) analysis to examine market share evolution from 2013 to 2020, focusing on channel contributions to revenue, reservation counts, room-nights, length of stay, and pricing. Results show that while online channels have increased in reservation counts, direct sales outperform them in price and revenue. The originality of this study lies in its comprehensive analysis of hospitality distribution, a topic lacking sufficient research due to limited access to public data. By analyzing real sales data from over 800 hotels, this study fills a gap in the literature. It is the first compositional analysis of market share in the tourism and hospitality industry and the first to decompose market share into price and quantity effects across any sector


This research was supported by the Spanish Ministry of Science and Innovation and ERDF-a way of making Europe [grant numbers PID2021-123833OB-I00 and PID2022-138564OA-I00], the Spanish Ministry of Health [grant number CIBERCB06/02/1002], the Department of Research and Universities of Generalitat de Catalunya [grant numbers 2021SGR01197 and 2023-CLIMA-00037] and AGAUR and the Department of Climate Action, Food and Rural Agenda of Generalitat de Catalunya [grant number 2023-CLIMA-00037]. The funders had no role in the research process from study design to submission

Tipo de documento

Artículo


Versión aceptada


peer-reviewed

Lengua

Inglés

Publicado por

SAGE Publications

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PID2021-123833OB-I00

info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-123833OB-I00/ES/GENERATION AND TRANSFER OF COMPOSITIONAL DATA ANALYSIS KNOWLEDGE/

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