AI Hospitality Alliance

Research Archive

2022

Archived AI Hospitality Alliance research published in 2022.

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Academic ResearchDecember 1, 2022Journal of Business Research‑Turk

Applications and Implications of Service Robots in Hospitality Sector: A Case Study

D. Bağıran Özşeker, E. Aktaş, O. A. Kurgun

A real-world case study of a hotel that deployed service robots found that robots work best when they're assigned specific roles — from handling routine deliveries to creating memorable guest moments — rather than being treated as generic automation. The biggest factor in success wasn't the technology itself but how well management prepared staff and redesigned workflows around it. Hotels that framed robots as tools to support employees (not replace them) saw faster adoption and better guest satisfaction scores.

RoboticsOperationsGuest Experience
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Academic ResearchDecember 1, 2022International Journal of Computer Trends and Technology

Future Service Robots: A Review of the Psychological Processes Involved in the Tourism and Hospitality Industries

T. C. Teo

Guests don't react to robots rationally — they react emotionally. This research shows that the same robot performing the same task can delight one guest and unsettle another, depending on factors like how human-like the robot feels, how predictable it behaves, and whether the guest was expecting it. For operators, the takeaway is clear: robot deployment requires as much attention to experience design and guest communication as to the technology itself. Giving guests an easy opt-out and making robots feel familiar rather than surprising leads to consistently better outcomes.

RoboticsOperationsGuest ExperienceTourismReviews & Sentiment
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Academic ResearchJune 24, 2022International Journal of Contemporary Hospitality Management

Deep learning in hospitality and tourism: a research framework agenda for future research

A. Essien, G. Chukwukelu

This paper reviews five years of AI research in hotels and travel and finds that deep learning — the technology behind modern AI — is already delivering real value in three areas: reading and categorizing thousands of guest reviews overnight, analyzing images for operational and marketing use, and forecasting hotel demand more accurately than traditional methods. The barrier to entry isn't the technology anymore; it's clean data and basic analytical capability. Hotels that start with review analysis get the fastest return for the least investment.

Revenue ManagementOperationsGuest ExperienceTourismReviews & Sentiment
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Academic ResearchMarch 1, 2022Journal of Business Research

Global Trends in Hospitality

Lerzan Aksoy, Tarik Dogru, et al.

A wide-ranging analysis of post-pandemic hospitality research found that digital transformation and AI are now the top strategic priorities across both academia and industry — not a future trend but a present competitive necessity. Hotels that had invested in flexible digital infrastructure before the pandemic recovered faster and more profitably. On the revenue side, AI-powered dynamic pricing and personalization are the clearest value drivers, and properties still relying on manual processes are falling behind measurably.

Revenue ManagementOperationsGuest ExperienceTourism
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