A Study on User Willingness of Intelligent Music Platform Based on TAM Model

Jingrong Li

doi:10.9708/jksci.2020.25.10.043

A Study on User Willingness of Intelligent Music Platform Based on TAM Model

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2020, 25(10), pp.43-50
DOI : 10.9708/jksci.2020.25.10.043
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science
Received : September 3, 2020
Accepted : October 6, 2020
Published : October 30, 2020

Jingrong Li ¹

¹Anshan Normal University

Accredited

ABSTRACT

In this paper, we propose to study the factors affecting the user's intention to use smart music platform, and on the basis of studying the impact of service quality on the user's intention to use, such as perceived usability, perceived ease, perceived entertainment and perceived cost, respectively. Based on this, the impact factors model on the usage intention of smart music platform users was presented, and 398 questionnaires were collected through a survey of university students majoring in Chinese music, and the collected data were obtained by conducting frequency analysis, reliability analysis, exploratory factor analysis, correlation analysis, and structural equation model analysis using spss20.0 and amos20.0. The results show that: Quality of service has a positive effect on perceived usefulness, perceived ease of use, perceived entertainment and perceived cost. A study found that perceived usefulness, perceived ease of use, and perceived entertainment have a positive effect on users' intention of use and perceived cost has a negative effect on their intention of use. Through this conclusion, the entrepreneur presented an important meaning in promoting sustainable development of smart music platforms by improving the operation and profit model of smart music platforms.

KEYWORDS

Intelligence Music, purchase intention, TAM models, perceived entertainment, perceived cost

Citation status

* References for papers published after 2023 are currently being built.

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Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

A Study on User Willingness of Intelligent Music Platform Based on TAM Model

ABSTRACT

KEYWORDS

Citation status

* References for papers published after 2023 are currently being built.

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

A Study on User Willingness of Intelligent Music Platform Based on TAM Model

ABSTRACT

KEYWORDS

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* References for papers published after 2023 are currently being built.