Journal of Korean Society of Industrial and Systems Engineering (산업경영시스템학회지)

Society of Korea Industrial and System Engineering (한국산업경영시스템학회)
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Analysis of Consulting Research Trends Using Topic Modeling

토픽 모델링을 활용한 컨설팅 연구동향 분석

  • Kim, Min Kwan (Institute of Knowledge Service, Hanyang University) ;
  • Lee, Yong (School of Management Consulting, Hanyang University) ;
  • Han, Chang Hee (Department of Business Administration, Hanyang University)
  • 김민관 (한양대학교 지식서비스연구소) ;
  • 이용 (한양대학교 일반대학원 경영컨설팅학과) ;
  • 한창희 (한양대학교 경상대학 경영학부)
  • Received : 2017.11.20
  • Accepted : 2017.12.14
  • Published : 2017.12.31
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Abstract

'Consulting', which is the main research topic of the knowledge service industry, is a field of study that is essential for the growth and development of companies and proliferation to specialized fields. However, it is difficult to grasp the current status of international research related to consulting, mainly on which topics are being studied, and what are the latest research topics. The purpose of this study is to analyze the research trends of academic research related to 'consulting' by applying quantitative analysis such as topic modeling and statistic analysis. In this study, we collected statistical data related to consulting in the Scopus DB of Elsevier, which is a representative academic database, and conducted a quantitative analysis on 15,888 documents. We scientifically analyzed the research trends related to consulting based on the bibliographic data of academic research published all over the world. Specifically, the trends of the number of articles published in the major countries including Korea, the author key word trend, and the research topic trend were compared by country and year. This study is significant in that it presents the result of quantitative analysis based on bibliographic data in the academic DB in order to scientifically analyze the trend of academic research related to consulting. Especially, it is meaningful that the traditional frequency-based quantitative bibliographic analysis method and the text mining (topic modeling) technique are used together and analyzed. The results of this study can be used as a tool to guide the direction of research in consulting field. It is expected that it will help to predict the promising field, changes and trends of consulting industry related research through the trend analysis.

Keywords

References

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