Role of AI in Hotel Employee Retention: An Empirical Analysis of Trends and Strategies

Abstract: Artificial intelligence is an advance in technology for the hotel industry and its role is undetermined at this time. AI in the hospitality industry helps to enable seamless and efficient experiences and streamline operations for guests and staff. The automated system of AI in hotels can optimize inventory management, streamline the schedules of housekeeping and monitor and control energy usage. The research aims to evaluate AI's role in the retention of hotel employees through analysis of their strategies and trends. A primary quantitative data collection process employed in this study is through a survey of 101 participants, who are related to the hotel industry, as it helps in exploring AI's role in the hotel industry towards employee retention. There is a statistical significance among the variables involved in each of the research objectives. There by noting that AI application as a dependent variable present in the case of each objective resulted to have a positive correlation and statistically significant linear relationship with the variable factors of each objective that is usage of AI for employee retention in hotels, challenges of managers in AI integration, trend of AI in workforce retention within hotel industry and potential strategies that assist in tackling challenges for applying AI in the industry in context to employee retention. Keywords: Employee Retention, Artificial Intelligence, Employee Satisfaction, Hotel Industry, Positive Workforce, AI adoption, Skill Development, Work Culture, Managers, AI Tools

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-24
DOI
https://doi.org/10.5281/zenodo.17195087
Primary Topic
European Monetary and Fiscal Policies
Type
article
Field-Weighted Citation Impact
0.00
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article

Role of AI in Hotel Employee Retention: An Empirical Analysis of Trends and Strategies

Zenodo (CERN European Organization for Nuclear Research)
European Monetary and Fiscal Policies
article

Role of AI in Hotel Employee Retention: An Empirical Analysis of Trends and Strategies

article en

Abstract

Abstract: Artificial intelligence is an advance in technology for the hotel industry and its role is undetermined at this time. AI in the hospitality industry helps to enable seamless and efficient experiences and streamline operations for guests and staff. The automated system of AI in hotels can optimize inventory management, streamline the schedules of housekeeping and monitor and control energy usage. The research aims to evaluate AI's role in the retention of hotel employees through analysis of their strategies and trends. A primary quantitative data collection process employed in this study is through a survey of 101 participants, who are related to the hotel industry, as it helps in exploring AI's role in the hotel industry towards employee retention. There is a statistical significance among the variables involved in each of the research objectives. There by noting that AI application as a dependent variable present in the case of each objective resulted to have a positive correlation and statistically significant linear relationship with the variable factors of each objective that is usage of AI for employee retention in hotels, challenges of managers in AI integration, trend of AI in workforce retention within hotel industry and potential strategies that assist in tackling challenges for applying AI in the industry in context to employee retention. Keywords: Employee Retention, Artificial Intelligence, Employee Satisfaction, Hotel Industry, Positive Workforce, AI adoption, Skill Development, Work Culture, Managers, AI Tools

Zenodo (CERN European Organization for Nuclear Research)
Vignan's Foundation for Science, Technology & Research (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 40%
European Monetary and Fiscal Policies
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Role of AI in Hotel Employee Retention: An Empirical Analysis of Trends and Strategies · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS