Factors affecting the Adaptation of Artificial Intelligent (AI) in Food and Beverage Department at 5 stars Hotels in Kuala Lumpur

HRMARS - This study focuses on factors affecting the adoption of AI in Food and Beverage (F&B) departments of five-star hotels in Kuala Lumpur. As hotels focus more on the use of digital technologies to improve their efficiency and service quality, it has become essential to understand what drives AI adoption. This research focuses on three important determinants, namely: operational needs, cyber security and cost of implementation which are the independent variable and the dependent variable is AI adoption. Using quantitative research design, the use of standardized questionnaires were used for the distribution of the samples to the employees working in the F&B sector and caterings in selected 5-star hotels. Correlation and multiple regression studies were performed to assess the relationships and predictive impacts of those factors on AI technologies adoption in the F&B department.

Authors

Publication Details

Journal
International Journal of Academic Research in Business and Social Sciences
Published
2026-02-21
DOI
https://doi.org/10.6007/ijarbss/v16-i2/27592
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

Factors affecting the Adaptation of Artificial Intelligent (AI) in Food and Beverage Department at 5 stars Hotels in Kuala Lumpur

M. Fujii, Muhamad Syahir Bin Muhamad Stamam, Zulhairi Bin Zakariah, Kosei Makino
International Journal of Academic Research in Business and Social Sciences
AI in Service Interactions
article

Factors affecting the Adaptation of Artificial Intelligent (AI) in Food and Beverage Department at 5 stars Hotels in Kuala Lumpur

M. Fujii, Muhamad Syahir Bin Muhamad Stamam, Zulhairi Bin Zakariah, Kosei Makino
article en

Abstract

HRMARS - This study focuses on factors affecting the adoption of AI in Food and Beverage (F&B) departments of five-star hotels in Kuala Lumpur. As hotels focus more on the use of digital technologies to improve their efficiency and service quality, it has become essential to understand what drives AI adoption. This research focuses on three important determinants, namely: operational needs, cyber security and cost of implementation which are the independent variable and the dependent variable is AI adoption. Using quantitative research design, the use of standardized questionnaires were used for the distribution of the samples to the employees working in the F&B sector and caterings in selected 5-star hotels. Correlation and multiple regression studies were performed to assess the relationships and predictive impacts of those factors on AI technologies adoption in the F&B department.

International Journal of Academic Research in Business and Social SciencesVol. 16(2)
Openalex Percentile: Top 51%
AI in Service Interactions
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