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ZENODO
Journal . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Journal . 2025
License: CC BY
Data sources: Datacite
ZENODO
Journal . 2025
License: CC BY
Data sources: Datacite
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PERCEPTION OF ARTIFICIAL INTELLIGENCE IN THE RESTAURANT INDUSTRY: IDENTIFYING CHALLENGES AND BENEFITS

Authors: Mrs. Prajapati S.;

PERCEPTION OF ARTIFICIAL INTELLIGENCE IN THE RESTAURANT INDUSTRY: IDENTIFYING CHALLENGES AND BENEFITS

Abstract

Artificial Intelligence refers to the ability of a computer, robot, programmable gadget, or software program to carry out tasks and processes. AI in the hospitality sector refers to the application of cutting-edge technology to enhance several facets of hotel operations and guest service. Artificial Intelligence (AI) is gradually & progressively being used in the hotel & restaurant industry to improve proficiency & customer experience. Various stakeholders hold varied viewpoints regarding the awareness & practical use of AI in the restaurant industry. This research aims to explore the perception of AI in restaurants by identifying both the challenges and benefits of its adoption from the point of view of customers.AI offers numerous advantages, such as faster service, reduced human errors, better inventory management, and personalized customer interactions. Certain challenges include job displacement, loss of human interaction, high implementation costs, and data privacy risks. Thus, by addressing challenges and leveraging benefits, restaurants can adopt AI in a way that enhances both operational efficiency and customer satisfaction along with competitive advantage. This research provides insights on how customer perceives AI implementation in restaurants by stating its pros & cons. The research suggested ways for its acceptance & successful implementation.

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green