Back to Research
Academic ResearchMarch 1, 2026Tourism Economics

Economic impact of artificial intelligence (AI): Conceptualization of business value of AI and future agenda for tourism and hospitality research

This study highlights AI's strategic roles in tourism and hospitality: automation, information provision, and transformation. AI tools like chatbots and predictive analytics can boost efficiency, decision-making, and innovation. While benefits include better customer satisfaction and productivity, more research is needed on AI's impact on business models and customer experience.

Authors

Minwoo Lee, Billy Bai, Annamarie D. Sisson, Rui Costa

Article content

What the paper studied

This research explores the business value of Artificial Intelligence (AI) in the tourism and hospitality sector. It reviews existing studies to identify how AI contributes strategically through automation, providing information, and transforming business operations. The paper also outlines a future research agenda focusing on how AI reshapes business models, customer experiences, and theoretical frameworks within the industry.

Key findings

  • AI serves three strategic roles: automating routine tasks, delivering actionable information, and transforming business processes.
  • Applications such as service robots, chatbots, and predictive analytics improve operational efficiency and decision-making.
  • AI can enhance customer satisfaction, employee productivity, and competitive advantage.
  • Empirical evidence directly linking AI to measurable business outcomes is still limited.
  • Future research should focus on AI-driven business model transformation, evolving customer experiences, and developing theories and frameworks specific to tourism and hospitality.

Why it matters for hospitality

AI is not just a tool for cutting costs but a strategic asset that can reshape how hospitality businesses operate and compete. By automating routine tasks, AI frees staff to focus on personalized guest interactions, improving service quality. AI-powered analytics enable better forecasting and resource allocation, helping hotels optimize revenue and enhance guest experiences. However, to fully realize these benefits, hospitality professionals must understand AI's broader strategic potential and invest in its thoughtful integration.

Practical takeaways

  • Use AI-driven automation to handle repetitive tasks, allowing staff to engage more deeply with guests.
  • Leverage AI analytics for demand forecasting, dynamic pricing, and personalized marketing to boost revenue.
  • Explore AI-enabled innovations like virtual tours to create new revenue streams and attract diverse customers.
  • Prioritize ethical AI adoption by addressing data privacy, algorithmic fairness, and workforce impacts.
  • Stay informed about evolving AI research to adapt business models and customer experience strategies effectively.
  • Collaborate with technology providers to implement AI solutions that align with your brand and operational goals.

By embracing AI strategically, hospitality businesses can enhance operational efficiency, improve guest satisfaction, and secure a competitive edge in a rapidly evolving market.

Tags

Artificial IntelligenceTourismHospitalityBusiness StrategyCustomer ExperienceAutomationPredictive AnalyticsRevenue Management

Related research

Academic ResearchFebruary 4, 2026

Artificial intelligence (AI) in tourism, hospitality, and service research: a new digital frontier for consumer engagement, psychology, and behavior

This study reviews AI technologies in tourism and hospitality, proposing a framework linking AI tools like chatbots and virtual assistants to enhanced consumer engagement, emotions, and experiences. It highlights how these factors influence behaviors such as information sharing and brand relationships, offering strategic insights for service providers.

Academic ResearchJanuary 1, 2026

Mapping Research Trends in AI-Based Tourism and Hospitality Marketing: A Bibliometric and Thematic Review

This study systematically reviews 320 peer-reviewed articles from 2003 to 2025 on artificial intelligence (AI) applications in tourism and hospitality marketing. Using bibliometric and thematic analyses, it identifies key publication trends, influential journals and authors, and emerging research themes. The findings reveal a significant growth in AI-related tourism marketing research since 2017, highlighting four main thematic clusters: digital influence and tourist behavior analytics; AI-enabled smart tourism and commerce ecosystems; technology-driven hospitality and experience innovation; and data-driven decision making in predictive tourism modeling. The review underscores AI's transformative role in enhancing personalized marketing, customer engagement, and operational decision-making in the hospitality sector, while also noting challenges related to ethics, data privacy, and maintaining human touch in service.

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.