Articles

Research-informed essays on AI-supported hotel decisions.

Hotel Decision Lab examines the decision-making layer of AI in hotels: what systems know, what managers know, who can recognize a consequential error, and how authority and accountability should be allocated.

Published

Current work.

October 29, 2026 · Research-informed conceptual essay

Who Controls the Decision When Hotel AI Recommends It?

The accountability question starts before the manager clicks approve. Hotel Decision Lab examines who sets the objective, controls the data and settings, may change the recommendation, and judges the outcome, with a five-question audit operators can try on one recurring labor decision.

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October 12, 2026 · Research-informed conceptual essay

Why Explainable AI Can Still Produce Bad Decisions

Making an AI recommendation easier to understand is not the same as making a manager better able to judge it. Hotel Decision Lab reviews what explanations improve, what hotel research does not establish, and a proposed test for diagnostic usefulness.

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September 4, 2026 · Research-informed conceptual essay

When Local Knowledge Beats the Forecast

When manager-supplied local information deserves decision weight, when intervention adds noise, and how hotel organizations can make those information claims visible and evaluable.

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August 6, 2026 · Research-informed conceptual essay

When Hotel Managers Override the Algorithm

Human review is not automatically a safety feature. The essay develops three proposed conditions for evaluating whether a manager may add value to an AI-supported hotel labor decision, while making clear that the conditions are not validated rules.

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Research program

One connected argument, developed deliberately.

The publication sequence moves from manager overrides to local knowledge, explanation, appropriate reliance, and decision rights. Future essays are published only when their claims meet the Hotel Decision Lab evidence standards; the roadmap is not accelerated for search volume.

Review the current research agenda, read the methodology, or use the AI in Hotels gateway for the full topic map.