Dimensions Affecting Consumer Acceptance towards Artificial Intelligence (AI) Service in the Food and Beverage Industry in Klang Valley

Artificial Intelligence (AI) is a computational approach that aims to approximate human intellect in a more simplified way in order to address technical issues that are beyond the scope of traditional computer approaches. According to the evolution of technology, AI had made their presence in almost every business such as food and beverage. The presence of AI is benefiting food makers and merchants by assisting them in better understanding their consumer through AI. Therefore, the objectives of the research to focusing on factors that affects consumer’s acceptance towards AI service in the food and beverage industry. Factors that include convenience and service quality adopted from is known as AISAQUAL. It consists of 6 dimensions which are efficiency, security, availability, enjoyment, contact and anthropomorphism. In this study, a total of 401 respondents were collected, specifically respondents who had experienced AI service in the food and beverage industry. All data collected was analyze through Statistical Package for Social Science (SPSS) and various type of analysis which include reliability test, normality test, Pearson Correlation Test and Regression test were used in this study to measure the data collected. In short, the result shown that there is a relationship between convenience, security, contact, availability and anthropomorphism towards consumer acceptance on AI in the food and beverage industry. Meanwhile efficiency and enjoyment dimensions were not affecting much on consumer acceptance towards AI service in the food and beverage industry in Klang Valley.

Authors

Institutions

Publication Details

Journal
Semarak International Journal of Machine Learning
Published
2025-05-02
DOI
https://doi.org/10.37934/sijml.1.1.2030a
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dimensions Affecting Consumer Acceptance towards Artificial Intelligence (AI) Service in the Food and Beverage Industry in Klang Valley

Ho Li Vern, Siew Har Ong, Sai Xin Ni
Semarak International Journal of Machine Learning
Impact of AI and Big Data on Business and Society
article

Dimensions Affecting Consumer Acceptance towards Artificial Intelligence (AI) Service in the Food and Beverage Industry in Klang Valley

Ho Li Vern, Siew Har Ong, Sai Xin Ni
article en

Abstract

Artificial Intelligence (AI) is a computational approach that aims to approximate human intellect in a more simplified way in order to address technical issues that are beyond the scope of traditional computer approaches. According to the evolution of technology, AI had made their presence in almost every business such as food and beverage. The presence of AI is benefiting food makers and merchants by assisting them in better understanding their consumer through AI. Therefore, the objectives of the research to focusing on factors that affects consumer’s acceptance towards AI service in the food and beverage industry. Factors that include convenience and service quality adopted from is known as AISAQUAL. It consists of 6 dimensions which are efficiency, security, availability, enjoyment, contact and anthropomorphism. In this study, a total of 401 respondents were collected, specifically respondents who had experienced AI service in the food and beverage industry. All data collected was analyze through Statistical Package for Social Science (SPSS) and various type of analysis which include reliability test, normality test, Pearson Correlation Test and Regression test were used in this study to measure the data collected. In short, the result shown that there is a relationship between convenience, security, contact, availability and anthropomorphism towards consumer acceptance on AI in the food and beverage industry. Meanwhile efficiency and enjoyment dimensions were not affecting much on consumer acceptance towards AI service in the food and beverage industry in Klang Valley.

Semarak International Journal of Machine LearningVol. 1(1)
Berjaya University College of Hospitality (MY)
Openalex Percentile: Top 89%
Impact of AI and Big Data on Business and Society
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.