IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Factors Affecting Customer Intentions Toward AI-Made Music: A Study With University Students in Japan

Factors Affecting Customer Intentions Toward AI-Made Music: A Study With University Students in Japan
View Sample PDF
Author(s): Bình Nghiêm-Phú (University of Hyogo, Japan)
Copyright: 2022
Pages: 26
Source title: Handbook of Research on Big Data, Green Growth, and Technology Disruption in Asian Companies and Societies
Source Author(s)/Editor(s): Patricia Ordóñez de Pablos (University of Oviedo, Spain), Xi Zhang (Tianjin University, China), Mohammad Nabil Almunawar (Universiti Brunei Darussalam, Brunei)and José Emilio Labra Gayo (University of Oviedo, Spain)
DOI: 10.4018/978-1-7998-8524-5.ch011

Purchase

View Factors Affecting Customer Intentions Toward AI-Made Music: A Study With University Students in Japan on the publisher's website for pricing and purchasing information.

Abstract

The purpose of this chapter was to develop and verify a theoretical model to understand the ways that potential customers perceive and act toward AI-made products. The author began the chapter with a review of the existing literature to extract the most fundamental elements, both internal and external to the customers, which can affect their perceptions and behaviours. From there, the author proposed and tested a theoretical model that can explain customer attitudes toward a new type of music: AI-made music. Using data gathered from a young customer sample (n = 219) in Japan, the author found that perceived product/service attributes and customers' personal characteristics had significant impacts on customer purchase intentions, while perceived seller attributes and environment characteristics had not. These findings helped expand the literature on customer attitudes by introducing and investigating an aggregated model on the one hand. They also provided practical support for the commercialization of the AI-made products industry in the future on the other.

Related Content

Muhammad Naeem Shahid, Mahreen Bashir, Muhammad Umar Islam, Zahid Mahmood. © 2027. 36 pages.
KM Ashifa, B. UmaDevi, L. Anitha, Palanivel Rathinasabapathi Velmurugan, R. Vettriselvan. © 2027. 26 pages.
Mirudhula K., Karthikeyan S.. © 2027. 36 pages.
Abid Ali, Muhammad Zahid, Muhammad Naeem Shahid, Sumaira Aslam. © 2027. 24 pages.
Priyakrushna Mohanty, Rashi Modi, Aaleyah Behera. © 2027. 40 pages.
R. N. Ravikumar, S. Aarthi. © 2027. 32 pages.
V. Lava Kumar, Santhapalli Gautami, E. Gnanaprasuna, N. Sathyanarayana, D. Srikanth Reddy. © 2027. 32 pages.
Body Bottom