AI Hospitality Alliance
Back to Research
Academic ResearchMay 7, 2026International Journal of Quality & Reliability Management

Artificial intelligence and service performance: empirical findings from the hospitality sector

This study identifies key factors driving AI adoption in luxury hotels, showing that ease of use, competitive pressure, IT infrastructure, and government support boost AI use and improve service performance. It offers a strategic framework for hotel managers and policymakers to leverage AI for better service, efficiency, and competitive advantage amid rapid digital transformation.

Authors

Subhodeep Mukherjee , Rashmi Ranjan Panigrahi , Shad Ahmad Khan , Kiran Cotha

Article content

What the paper studied

This research examined the factors influencing the adoption of artificial intelligence (AI) technologies in the hospitality sector, focusing on luxury hotels in India. Using established models (Technology Acceptance Model and Technology-Organisational-Environmental framework), the study analyzed how technological, organizational, and external pressures drive AI integration. Data from 312 luxury hotels offering lodging and food services were analyzed to understand how these factors impact AI adoption and subsequent service performance.

Key findings

  • Perceived ease of use of AI systems significantly encourages adoption among hotels.
  • Competitive pressure from the industry motivates hotels to implement AI to stay ahead.
  • Robust IT infrastructure within hotels is critical for successful AI integration.
  • Supportive government policies and regulations accelerate AI adoption.
  • These factors work together, with technological readiness, organizational preparation, and external pressures creating momentum for digital transformation.
  • AI adoption is empirically linked to improved service performance in luxury hotels.

Why it matters for hospitality

The study highlights that AI adoption is not just a technical upgrade but a strategic move to enhance service quality, operational efficiency, and competitive positioning. For luxury hotels, embracing AI can lead to hyper-personalized guest experiences, faster and more responsive service, and streamlined operations. Understanding the drivers of AI adoption helps hotel leaders plan effective implementation strategies and align organizational capabilities with technological advancements. Additionally, recognizing the role of government support and industry competition informs broader strategic and policy decisions.

Practical takeaways

  • Hotels should prioritize user-friendly AI technologies to encourage staff acceptance and effective use.
  • Monitoring competitor AI initiatives can help identify opportunities and threats, motivating timely adoption.
  • Investing in strong IT infrastructure is essential to support AI systems and ensure smooth operations.
  • Engage with government programs and policies that support AI adoption to leverage funding and regulatory advantages.
  • Retrain and upskill staff to build digital literacy and foster a data-driven decision-making culture.
  • Use AI-powered tools such as chatbots for 24/7 guest communication, predictive analytics for demand forecasting, and robotic automation for housekeeping and front-office tasks.
  • Collaborate with technology providers, academic institutions, and tourism agencies to create innovation ecosystems that accelerate AI deployment.
  • Policymakers should focus on creating supportive regulations, funding opportunities, and infrastructure development, especially for small and medium-sized hospitality businesses.
  • Integrate AI with sustainability initiatives like energy efficiency and waste reduction to enhance environmental and economic outcomes.

By strategically adopting AI, luxury hotels can significantly improve service performance, operational efficiency, and maintain a competitive edge in an increasingly digital hospitality landscape.

Tags

Artificial IntelligenceHospitalityService PerformanceTechnology AdoptionLuxury HotelsDigital TransformationHotel ManagementPolicyOperations

Related research

Academic ResearchFebruary 23, 2026

AI-Powered Mobile Applications in Hotels: Guest Personalization, Operational Efficiency, and Sustainability

Qualitative systematic literature review of how AI-powered mobile apps reshape luxury hotels across three outcomes: guest personalization, operational efficiency, and sustainability. Finds that AI-mobile capabilities (pre-arrival personalization, mobile check-in, digital keys, smart-room controls, chatbots, loyalty integration) deliver standardized service, faster response times, lower staffing pressure, and 20–30% energy savings via AI thermostats — but only when paired with employee training, change management, transparent data practices, and a hybrid model that keeps humans on high-touch moments.

Academic ResearchNovember 1, 2025

Adoption of Artificial Intelligence (AI) Technology in Enhancing Tourist Experience: A Conceptual Model

This article proposes a conceptual model for adopting Artificial Intelligence (AI) technology to enhance tourist experiences. It highlights the potential of AI to transform tourism by personalizing services, improving operational efficiency, and enriching guest interactions, offering practical insights for hospitality professionals aiming to leverage AI in their strategies.

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.