Citation

Subbarao, Anusuyah and Taralunga, Dragos and Abdul Malik, Nur Iylia Syafiqah (2026) Navigating AI Acceptance in the Restaurant Realm: Assessing the Potential Replacement of Humans by AI in the F&B Industry. Lecture Notes on Multidisciplinary Industrial Engineering ((LNMUINEN)). pp. 201-209. ISSN 2522-5022

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Abstract

In recent years, the Food and Beverage (F&B) industry has undergone a transformative integration of Artificial Intelligence (AI) devices, marking a paradigm shift in its operational landscape. The incentive behind this widespread adoption of AI devices stems from a confluence of factors, with the global pandemic catalyzing change. Faced with unprecedented challenges, businesses in the F&B sector have turned to AI solutions to navigate disruptions and to ensure the continuity of operations while also maintaining proper social distancing protocols. This surge in AI utilization in the F&B industry has prompted the present comprehensive study that examines the intricate dynamics of AI acceptance. The research focuses on key determinants such as perceived performance expectancy, perceived effort expectancy, and perceived anthropomorphic characteristics. While previous investigations have extensively explored AI adoption in various sectors, the F&B industry presents unique challenges and opportunities. The study not only seeks to explain the factors influencing AI acceptance but also explores consumer perceptions of these technological implementations within the F&B realm. This study has been conducted using a quantitative method using purposive sampling. The target population of this study was in the Klang Valley area, Malaysia with a sample size of 107. Data was analyzed using the IBM Statistical Package for the Social Sciences (SPSS) v29. Findings show that both positive and negative attitudes towards the acceptance of AI do occur depending on certain factors. When focusing on whether AI can improve the quality of service or possess more human-like features, people's opinions towards accepting AI devices sway in a more positive direction.

Item Type:	Article
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD28-70 Management. Industrial Management > HD30.2 Electronic data processing. Information technology. Including artificial intelligence and knowledge management
Divisions:	Faculty of Management (FOM)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	03 Mar 2026 04:30
Last Modified:	03 Mar 2026 04:30
URII:	http://shdl.mmu.edu.my/id/eprint/15449

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