AI Hospitality Summit
March 1–2, 2027 · San Diego
Registration now open · The Summit is likely to sell outVenue: San Diego Marriott Mission ValleyOnly 100 Early Bird tickets at $395 · Through November 30 or until sold out · $595 from December 1Limited to 500 attendees: register now to secure your spotHotel leaders, technologists and innovators shaping AI in hospitality
Register now
Back to Research
Academic ResearchNovember 9, 2026Information Technology & Tourism (Springer), Vol. 28, Article 82

What drives AI use in small hospitality firms? An integrated framework of diffusion of innovation, technology–organization–environment, dynamic capabilities and behavioral reasoning

Small hospitality firms need more than access to AI. This study links adoption with internal support, market pressures and perceived benefits, while budgets, complexity and skepticism remain barriers. AI use is positively associated with firm performance.

Authors

Abu Elnasr E. Sobaih, Ahmed Mohamed Hasanein, Ahmed E. Abu Elnasr

Article content

What the paper studied

The authors combine four perspectives to examine organizational, environmental, technological and behavioral conditions associated with AI use in small hospitality enterprises, particularly in developing economies.

Key findings

  • Internal support, external pressure, perceived advantages, enjoyment and social influence encourage AI use.
  • Limited resources, perceived cost, complexity and skepticism constrain it.
  • AI use is positively associated with business performance.

Why it matters for hospitality

Small operators may benefit from affordable tools that are straightforward to implement, backed by practical support and evidence of value. Vendors should address adoption barriers as well as technical capabilities.

Evidence limits

This summary draws on the publicly accessible publisher abstract, not the subscription-only full text. The reported relationships do not establish that adopting AI causes better performance.

Tags

Artificial IntelligenceTechnology AdoptionHotel OperationsHospitality Management

Related research

Academic ResearchOctober 31, 2026

An AI-Based Framework for Aligning Service Processes and Resources in Boutique Hotels Under Conditions of Authenticity

This conceptual paper proposes an AI framework for boutique hotels, whose competitive edge rests on authenticity, cultural identity and personal service. It treats authenticity as a minimum requirement in operational decisions and organizes AI use across five components: authenticity preservation, service coordination, resource optimization, human–AI collaboration and performance evaluation. AI supports administrative and analytical work, while employees keep culturally significant and emotionally sensitive interactions. The framework has not yet been tested empirically.

Academic ResearchSeptember 18, 2026

Artificial Intelligence in Hospitality: Determinants of Tourists’ Behaviour Following AI-Enabled Service Experiences

A survey of 400 tourists at a four-star hotel on a Greek island links how guests perceive AI-enabled services, such as chatbots, automated check-in/check-out and recommendation systems, to whether they share positive or negative online reviews. Ease of use, perceived intelligence, trust, perceived risk and the need for human interaction show differentiated associations with review-sharing behaviour.

For Professors

Submit article for consideration

If you are a professor or researcher and would like to suggest a publicly available article for inclusion in the Research Hub, you can submit it for review and possible inclusion through our dedicated submission form.