[논문]텍스트 마이닝 처리로 품질경영학회지 연구동향 분석

이상복

doi:10.7469/jksqm.2019.47.3.597

텍스트 마이닝 처리로 품질경영학회지 연구동향 분석
Analysis of Research Trends in Journal of Korean Society for Quality Management by Text Mining Processing 원문보기

品質經營學會誌 = Journal of Korean society for quality management, v.47 no.3, 2019년, pp.597 - 613

Abstract ▼ AI-Helper

Purpose: The purpose of this study is to analyze the trend of quality research by analyzing the entire JKSQM(Journal of the Korean Society for Quality Management). Methods: This study is to analyze the frequency of words used in the abstract of the all JKSQM by applying the text mining processing. We use wordcrowd among text mining techniques. Results: 22 words of high frequency were presented in the abstract of the paper published in the JKSQM for 42 years. The frequency of words was shown on a 10 year basis, and the four important words were plotted on a change graph for each Vol. Frequent words of each Vol. are added in the appendix. Conclusion: The main research results are as follows. First, there has been no significant change in research trends over the last 40 years. Second, the early SQC words have been widely used, and since 1990, many words such as service-oriented words have been used, indicating a change in the times. Third, the use of the words of the 4th industrial revolution since 2010 is weak. In the above analysis, the trend of quality research in Korea is within the quality category and can be considered conservative. Now, it is expected that everything will be changed in the period of the 4th Industrial Revolution, and it is time to study the direction of quality in Korea.

주제어

표/그림 (8)

그림 Figure 3.1. Flow Chart of Word Analysis of JKSQM
표 Table 3.1. Vol.1 - Vol.46 of JKSQM
표 Table 3.2. Number of Article of each Volume(Issue) of JKSQM
그림 Figure 3.2. the first page of the Vol.1
그림 Figure 3.3. the first page of the Vol.5
표 Table 3.3. 22 high frequency words used in the abstract for 42 years of JKSQM
표 Table 3.4. 10 important words in of each Vol. 10 of JKSQM
그림 Figure 3.4. Each of the important four words's graph by Vol.

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