Conference Paper

The Impact of Artificial Intelligence on the Service Industry and Consumer Behavior: A Bibliometric Analysis

Volume: 27 July 1, 2024
EN

The Impact of Artificial Intelligence on the Service Industry and Consumer Behavior: A Bibliometric Analysis

Abstract

This study aims to reveal, through a bibliometric analysis, more information about the transformation and impacts of artificial intelligence on the service industry and consumer behavior transformation and development over the last 32 years. Articles were collected from three databases using keyword combinations (artificial intelligence, service industry, consumer behavior, marketing, machine learning, etc.). Then, inclusion and exclusion criteria for the field were applied to obtain the final sample. The final sample consisted of 50 peer-reviewed articles. Three separate analyses were conducted to test the sample. A performance analysis identified the publication years of the articles, contributions per country, and the output of the relevant journals. The data analysis analyzed the articles in-depth and provided insights into the evolution of relevant scientific production. The study's findings provide a broad perspective on research to date and identify potential research gaps. This research endeavors to contribute to the marketing field by undertaking a bibliometric analysis of research concerning the impact of artificial intelligence on consumer behavior and the service industry, spanning the period from 1991 to 2024. It offers suggestions to academics and researchers for future research.

Keywords

References

  1. Ok, S. (2024). The impact of artificial intelligence on the service industry and consumer behavior: A bibliometric analysis. The Eurasia Proceedings of Science, Technology, Engineering & Mathematics (EPSTEM), 27, 203-213.

Details

Primary Language

English

Subjects

Software Engineering (Other)

Journal Section

Conference Paper

Authors

Şeyda Ok
Türkiye

Early Pub Date

July 19, 2024

Publication Date

July 1, 2024

Submission Date

February 14, 2024

Acceptance Date

April 29, 2024

Published in Issue

Year 2024 Volume: 27

APA
Ok, Ş. (2024). The Impact of Artificial Intelligence on the Service Industry and Consumer Behavior: A Bibliometric Analysis. The Eurasia Proceedings of Science Technology Engineering and Mathematics, 27, 203-213. https://doi.org/10.55549/epstem.1518564
AMA
1.Ok Ş. The Impact of Artificial Intelligence on the Service Industry and Consumer Behavior: A Bibliometric Analysis. EPSTEM. 2024;27:203-213. doi:10.55549/epstem.1518564
Chicago
Ok, Şeyda. 2024. “The Impact of Artificial Intelligence on the Service Industry and Consumer Behavior: A Bibliometric Analysis”. The Eurasia Proceedings of Science Technology Engineering and Mathematics 27 (July): 203-13. https://doi.org/10.55549/epstem.1518564.
EndNote
Ok Ş (July 1, 2024) The Impact of Artificial Intelligence on the Service Industry and Consumer Behavior: A Bibliometric Analysis. The Eurasia Proceedings of Science Technology Engineering and Mathematics 27 203–213.
IEEE
[1]Ş. Ok, “The Impact of Artificial Intelligence on the Service Industry and Consumer Behavior: A Bibliometric Analysis”, EPSTEM, vol. 27, pp. 203–213, July 2024, doi: 10.55549/epstem.1518564.
ISNAD
Ok, Şeyda. “The Impact of Artificial Intelligence on the Service Industry and Consumer Behavior: A Bibliometric Analysis”. The Eurasia Proceedings of Science Technology Engineering and Mathematics 27 (July 1, 2024): 203-213. https://doi.org/10.55549/epstem.1518564.
JAMA
1.Ok Ş. The Impact of Artificial Intelligence on the Service Industry and Consumer Behavior: A Bibliometric Analysis. EPSTEM. 2024;27:203–213.
MLA
Ok, Şeyda. “The Impact of Artificial Intelligence on the Service Industry and Consumer Behavior: A Bibliometric Analysis”. The Eurasia Proceedings of Science Technology Engineering and Mathematics, vol. 27, July 2024, pp. 203-1, doi:10.55549/epstem.1518564.
Vancouver
1.Şeyda Ok. The Impact of Artificial Intelligence on the Service Industry and Consumer Behavior: A Bibliometric Analysis. EPSTEM. 2024 Jul. 1;27:203-1. doi:10.55549/epstem.1518564