Analysis of digital research hotspots in Chinese museums based on bibliometry and kano

Abstract

Against the increasing level of science and technology, such as the Internet of Things and Artificial Intelligence, the intermingling of museums and science and technology has gradually become essential in developing Chinese museums. Firstly, this study applies the bibliometric method to draw a knowledge map with the help of the CNKI database and uses CiteSpace software to visualize and analyze the research hotspots in terms of the number of publications, authors, institutions, keywords, hotspots, and so on. Secondly, a user satisfaction survey using the Kano model is conducted to confirm the reliability of the research hotspots. Finally, the trend in domestic museum digitization research is summarized according to the results of the analysis. The bibliometric and kano model analysis shows that technological innovation is still dominant in Chinese museum digitization research. Still, the sustainable development of museums in the future needs to fully consider user preference and engagement so that the exhibition experience will become a hotspot in museum digitization research. Analyzing the trajectory of Chinese museum digitization research and exploring its evolution path, core themes, and emerging important areas can provide a reference for subsequent museum digitization research and design.

Keywords

• museum digitization
• citespace
• bibliometrics
• kano model
• knowledge map
• 68t05