A Study of Customer Acceptance of Artificial Intelligence Technology

A Study of Customer Acceptance of Artificial Intelligence Technology

Youngkeun Choi
Copyright: © 2023 |Pages: 14
DOI: 10.4018/IJEBR.323796
Article PDF Download
Open access articles are freely available for download

Abstract

This research aims to investigate the acceptance of artificial intelligence (AI) technology-enabled services by customers during front-line service meetings. The study collected data from 412 Korean individuals through an online survey and utilized hierarchical regression analysis to test the hypotheses. The results of the study show that the clarity of the roles of both the customer and the AI, the customer's motivation to adopt AI-based technology, and the customer's ability to use AI devices increase the likelihood of acceptance of AI devices. However, concerns related to privacy weaken the relationship between role clarity and customer acceptance, while trust in AI technology strengthens the relationship between ability and customer acceptance.
Article Preview
Top

Theoretical Background And Hypothesis Development

Artificial intelligence (AI) is a broad field of computer science that is concerned with creating intelligent machines capable of performing tasks that typically require human intelligence, such as learning, reasoning, problem-solving, perception, and natural language processing (Enholm et al., 2022). AI can be categorized into two main types: narrow or weak AI, which is designed to perform specific tasks, and general or strong AI, which can perform any intellectual task that a human can do. Some of the key techniques used in AI include machine learning, deep learning, natural language processing, computer vision, and robotics. AI has a wide range of applications in various fields, including healthcare, finance, transportation, education, and entertainment, among others. However, AI also raises ethical and societal concerns, such as the potential impact on employment and privacy, and the need for transparent and responsible development and use of AI technologies.

Complete Article List

Search this Journal:
Reset
Volume 20: 1 Issue (2024)
Volume 19: 1 Issue (2023)
Volume 18: 4 Issues (2022): 2 Released, 2 Forthcoming
Volume 17: 4 Issues (2021)
Volume 16: 4 Issues (2020)
Volume 15: 4 Issues (2019)
Volume 14: 4 Issues (2018)
Volume 13: 4 Issues (2017)
Volume 12: 4 Issues (2016)
Volume 11: 4 Issues (2015)
Volume 10: 4 Issues (2014)
Volume 9: 4 Issues (2013)
Volume 8: 4 Issues (2012)
Volume 7: 4 Issues (2011)
Volume 6: 4 Issues (2010)
Volume 5: 4 Issues (2009)
Volume 4: 4 Issues (2008)
Volume 3: 4 Issues (2007)
Volume 2: 4 Issues (2006)
Volume 1: 4 Issues (2005)
View Complete Journal Contents Listing