ORIGINAL RESEARCH article
Front. Robot. AI
Sec. Field Robotics
Robots, Ledgers, and RevPAR: A Blockchain-Enabled AI–Robotics Conceptual Model for Sustainable Hotel Revenue and Asset Management
1. Leven School of Management, Entrepreneurship and Hospitality, Kennesaw State University, School of Management Entrepreneurship and Hospitality, Kennesaw, United States
2. Kennesaw State University, Kennesaw, United States
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Abstract
Robotics and artificial intelligence (AI) are rapidly reshaping hospitality by automating frontline and back-of-house processes, augmenting service encounters, and expanding the analytical scope of revenue management. Yet, existing research remains fragmented: service-robot studies largely emphasize adoption and human–robot interaction, while revenue-management research prioritizes pricing and distribution, sustainability research focuses on environmental practices, and hotel real-estate scholarship foregrounds governance and asset value. Meanwhile, blockchain technologies— through distributed ledgers, smart contracts, digital identity, and tokenization—offer a complementary trust and value-transfer layer that can address coordination and verification problems across hotel ecosystems (e.g., data sharing, sustainability claims, and owner–operator contracting). This conceptual article develops an integrative framework linking AI–robotics and blockchain capabilities to three interdependent hotel decision domains: (1) revenue management (demand forecasting, dynamic/open pricing, channel and loyalty optimization), (2) sustainability and operations (resource optimization, waste circularity, predictive maintenance), and (3) real estate and hotel asset management (digital twins, CapEx planning, valuation and risk analytics, and tokenized financing). Drawing on an integrative literature synthesis, a conceptual model is proposed in which AI–robotics and blockchain jointly build digital operational and market-intelligence capabilities that improve financial performance (RevPAR/GOPPAR and net operating income), sustainability performance (carbon and resource intensity), and long-term asset value. Ten propositions articulate mechanisms and boundary conditions related to governance, ethics, privacy, cybersecurity, organizational readiness, regulation, and market context. The article concludes with implications for hotel managers, owners, investors, and researchers, and outlines a future research agenda for hospitality, tourism, service management, and real-estate scholars.
Summary
Keywords
artificial intelligence, Blockchain, dynamic pricing, hotel asset management, real estate, revenue management, Service robots, sustainability
Received
01 January 2026
Accepted
17 February 2026
Copyright
© 2026 Jackson. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Leonard A Jackson
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.