Skip to main content

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

Napierała, T. and Tomczyk, A., 2026. New face of platform capitalism in lodging industry: Who and where adopts platform-led loyalty tools? Tourism Economics. (In Press)

Full text available as:

[thumbnail of napieraBa-tomczyk-2026-new-face-of-platform-capitalism-in-lodging-industry-who-and-where-adopts-platform-led-loyalty.pdf]
Preview
PDF
napieraBa-tomczyk-2026-new-face-of-platform-capitalism-in-lodging-industry-who-and-where-adopts-platform-led-loyalty.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial.

1MB

DOI: 10.1177/13548166261421402

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.

Item Type:Article
ISSN:1354-8166
Uncontrolled Keywords:artificial intelligence; loyalty programmes; personalisation; platform capitalism; online travel agents; geographical volatility; Poland
Group:Faculty of Business and Law
ID Code:41782
Deposited By: Symplectic RT2
Deposited On:06 Feb 2026 14:36
Last Modified:06 Feb 2026 14:36

Downloads

Downloads per month over past year

More statistics for this item...
Repository Staff Only -