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

Type
Academic journal
Author
Jingrong Li (Anshan Normal University)
Journal
The Korean Society Of Computer And Information Journal of the Korea Society of Computer and Information Vol.25 No.10(Wn.199) KCI Accredited Journals
Published
2020.10
Pages
43 - 50 (8page)

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

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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.
#Intelligence Music #purchase intention #TAM models #perceived entertainment #perceived cost #스마트 음악 플랫폼 #TAM 모델 #사용의도 #지각된 오락성 #지각된 원가

Contents

[Abstract]
[요약]
Ⅰ. Introduction
Ⅱ. Theoretical literature
Ⅲ. research method
Ⅳ. Analysis Result
Ⅴ. Conclusions
REFERENCES

References (15)

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Z. Qiu / 2019 / Mind Band : a crossmedia AI music composing platform / Proceedings of the 27th ACM International Conference on Multimedia 3(3):2231~2233 google schola Q. H. Nguyen / 2019 / Music Genre Classification using Residual Attention Network / 2019 International Conference on System Science and Engineering 9(2):115~119 google schola R. Louie / 2020 / Novice-AI Music Co-Creation via AI-Steering Tools for Deep Generative Models / Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems 4(4):1~13 google schola J. McCormack / 2019 / In a Silent Way: Communication between AI and improvising musicians beyond sound / Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems 3(38):1~11 google schola T. T. Nguyen / 2019 / Code Search on Bytecode for Mobile App Development / Proceedings of the 2019 ACM Southeast Conference 4:253~256 google schola

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