Analysis of Research Trends in Quality Management Field using Structural Topic Model

This study analyzed the research patterns and trends of domestic quality management-related research conducted from 2013 to 2022 using the structural topic model. Based on the collected paper data, we applied structural topic model and regression analysis to analyze research patterns and research trends, and applied a modularity algorithm to analyze the community of the topic network. The results of this study are summarized as follows. First, according to research results applying the structural topic model, research trends in the quality management field were found to consist of 20 topics. Second, the process improvement topic and customer satisfaction topic were analyzed as cold topics with a decreasing research proportion, while the data analysis topic and prediction model topic were analyzed as hot topics with an increasing research proportion. Third, according to the results of community analysis of the topic network, the 20 topics that make up the research trend were found to form 7 communities. This study is expected to provide researchers with help in predicting trends by identifying research trends and exploring research directions in the field of quality management.