New face of platform capitalism in lodging industry: Who and where adopts platform-led loyalty tools?

Our study aims to identify segments of the lodging market influenced by platform capitalism, with a focus on the adoption of platform-led, AI-supported loyalty and marketing tools. The empirical objective is to examine the site-specific and situational factors that influence the variability in hoteliers’ willingness to adopt AI-supported loyalty and marketing tools offered by Online Travel Agents (OTAs), as exemplified by the Booking.com’s Genius programme. The analysis focusses on hotels, motels, and guesthouses that operate in Poland in 2024. The Random Forest Classifier was employed to identify feature-based impacts and spatial patterns in the adoption of OTA-led AI-supported loyalty and marketing tools. The findings suggest that the most popular hotels, located in metropolitan areas, offering higher-priced services and demonstrating greater awareness and knowledge of digital marketing and revenue management, are most likely to adopt OTA-led AI-supported loyalty and marketing tools.

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Publication Details

Journal
Tourism Economics
Published
2026-02-03
DOI
https://doi.org/10.1177/13548166261421402
Primary Topic
Sharing Economy and Platforms
Type
article
Field-Weighted Citation Impact
0.00
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article

New face of platform capitalism in lodging industry: Who and where adopts platform-led loyalty tools?

Arkadiusz T. Tomczyk, Tomasz Napierała
Tourism Economics
Sharing Economy and Platforms
article

New face of platform capitalism in lodging industry: Who and where adopts platform-led loyalty tools?

Arkadiusz T. Tomczyk, Tomasz Napierała
article en

Abstract

Our study aims to identify segments of the lodging market influenced by platform capitalism, with a focus on the adoption of platform-led, AI-supported loyalty and marketing tools. The empirical objective is to examine the site-specific and situational factors that influence the variability in hoteliers’ willingness to adopt AI-supported loyalty and marketing tools offered by Online Travel Agents (OTAs), as exemplified by the Booking.com’s Genius programme. The analysis focusses on hotels, motels, and guesthouses that operate in Poland in 2024. The Random Forest Classifier was employed to identify feature-based impacts and spatial patterns in the adoption of OTA-led AI-supported loyalty and marketing tools. The findings suggest that the most popular hotels, located in metropolitan areas, offering higher-priced services and demonstrating greater awareness and knowledge of digital marketing and revenue management, are most likely to adopt OTA-led AI-supported loyalty and marketing tools.

Tourism Economics
University of Łódź (PL), College of Tourism (BG), Bournemouth University (GB)
Openalex Percentile: Top 72%
Sharing Economy and Platforms
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