A Systematic Literature Review on Agentic AI Insights in Hospitality Industry

Authors

  • Saranya Arunkumar

Keywords:

Agentic AI, Agent based modelling, systematic literature review, Hotel industry, hospitality industry

Abstract

Agent AI is a revolutionary approach that uses autonomous agents to solve difficult problems in decentralized environments, either alone or in cooperation. The development of Agent AI and its application are expanding at an alarming rate. Agent AI changes the way the people avail themselves of services. This is transforming the way the tourist receives hospitality, engages with services, and makes decisions. Studies taking on Agent AI on the adoption of the hospitality industry remain scattered. The present study focuses on addressing research gaps and providing an in-depth understanding of Agent AI in the field of the hospitality sector. The main purpose is to present an overview and synthesis of the body of knowledge currently available on Agent AI and identify the most pertinent research in the area. A systematic literature review is performed on documents obtained from the Scopus databases. The articles will be selected based on PRISMA methodology. This will consider the studies published between 2005 and 2025.

The primary search terms for this study include"Agentic" or "Autonomous" or "Self-directed" or "Independent" and "Artificial Intelligence" or "AI" or "Machine Intelligence” or “Intelligent Systems” and “Hotel” or “Hospitality” industry. This search term is used to search the chosen publication through the title, abstract, and keywords in the selected database. The focal point of the study is to find out the most influential aspects of Agent AI in hospital literature in terms of authors, articles, journals, and institutions. Also, the study advances the knowledge on the application of Agent AI and finds out the trends and future research opportunities in the sector.

References

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How to Cite

Saranya Arunkumar. (2025). A Systematic Literature Review on Agentic AI Insights in Hospitality Industry. International Journal of Research & Technology, 13(S4), 459–474. Retrieved from https://ijrt.org/j/article/view/798

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