The Impact of AI-Powered Technologies on Customer Satisfaction and Operational Efficiency in the Hospitality Industry

Johnson, Joyal (2023) The Impact of AI-Powered Technologies on Customer Satisfaction and Operational Efficiency in the Hospitality Industry. Masters thesis, Dublin, National College of Ireland.

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Abstract

The aim of this study is to investigate the utilisation of AI-powered technologies in the hotel sector and assess their ability to enhance customer satisfaction and operational efficiency. The purpose of this study is to deepen the knowledge of the consequences of integrating AI technology in the worldwide hospitality sector, with a specific focus on the cultural and geographical complexities of the hotel industry. The primary objective of this study is to fill the existing gaps in the literature and identify the specific obstacles and potential advantages of using artificial intelligence in hospitality facilities. The study will rely on secondary qualitative data collection. This research study aims to offer valuable insights and practical solutions for the deployment of AI technology in the hotel business. The results are expected to provide insight into the correlation between consumer satisfaction and the use of AI-generated suggestions and services.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Nagahamulla, Harshan UNSPECIFIED
Uncontrolled Keywords:	Hospitality; Artificial Intelligence; Consumer Satisfaction; Personalized Recommendations; Operational Efficiency; Predictive Analysis
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QH Natural history > QH301 Biology > Methods of research. Technique. Experimental biology > Data processing. Bioinformatics > Artificial intelligence Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Artificial intelligence H Social Sciences > HF Commerce > Marketing > Consumer Behaviour H Social Sciences > HF Commerce > Customer Service H Social Sciences > HD Industries. Land use. Labor > Specific Industries > Hospitality Industry
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Ciara O'Brien
Date Deposited:	09 May 2025 09:41
Last Modified:	09 May 2025 09:41
URI:	https://norma.ncirl.ie/id/eprint/7534

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