Surveying the music playback experience of museum audiences based on perceived quality and perceived value

Author:

Chen Xuan

Abstract

Purpose The improvement of museum service quality and efficiency is a hot issue in recent years. This paper aims to explore the influencing factors of museum audience satisfaction with music playing experience and provide empirical support for the improvement of museum service quality. Design/methodology/approach In this study, first, the basic theory of customer satisfaction and the basic theory of structural equation model are introduced. Different types of music have different effects on audience experience. At the same time, for different types of museums, different exhibition halls in the same museum and different types of exhibitions, the use of music should be tailored to local conditions. Then, a questionnaire survey is conducted to investigate the satisfaction of the audience of Hunan Museum with their music playing experience, and the survey data are collected and sorted out. Structural equation model (SEM) is used to study the customer satisfaction of Museum audiences' music playing experience, so as to find out the factors that have the greatest impact on the satisfaction and put forward corresponding improvement suggestions. Findings The results show that perceived value and perceived quality have the greatest impact on customer satisfaction. Research limitations/implications Museum audience satisfaction model involves many variables and has complex relationships. Therefore, there are still many shortcomings in this study. Practical implications Therefore, this study has important practical significance for museums to serve the society, improve the level of exhibition and realize their own value. By improving the exhibition environment and paying attention to the complaints of the audience, the satisfaction of the audience can be improved. Originality/value The structural equation model is applied to the study of museum customer satisfaction.

Publisher

Emerald

Subject

Library and Information Sciences,Computer Science Applications

Reference29 articles.

1. Applying genetic algorithms to information retrieval using vector space model;International Journal of Computer Science, Engineering and Applications,2015

2. Unsupervised text feature selection technique based on hybrid particle swarm optimization algorithm with genetic operators for the text clustering;The Journal of Supercomputing,2017

3. A new feature selection method to improve the document clustering using particle swarm optimization algorithm;Journal of Computational Science,2017

4. Hybrid clustering analysis using improved krill herd algorithm;Applied Intelligence,2018

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