Article 2017

A study on the research trends of job analysis presented in the form of academic theses in Korean universities

Information (Japan)
Journal · Vol. 20 · Issue 8 · pp. 5923-5932
Abstract

The purpose of this study is to investigate the research trends of job analysis presented in the form of academic theses in Korean universities. Academic theses related to job analysis provided by the National Assembly Library from year 2000 to 2015 were used as data for this study. Among the retrieved theses, the study found that there were 194 published theses that included "job analysis" as a title or keyword. After reviewing the published theses, 62 were used for final analysis, excluding those that only introduced the concept of job analysis and others in which the methods or results of job analysis were not found. The study results are as follows: First, 2014 saw the largest number of theses published in job analysis by released year, at nine theses (14.5%). Secondly, by type of thesis, the number of master's degree theses published was larger than that of doctoral theses, at 48 theses (77.4%). Thirdly, in terms of job analysis method used, the DACUM method was most utilized, in a total of 24 theses (21.1%). The survey data, only conducted to ensure the validity, were not utilized for this study since it is not appropriate to regard them as practical job analysis. Fourthly, for the purpose of job analysis, identifying task performed saw largest number of theses published at 19 theses (79.2%). Lastly, several suggestions for developing job analysis related research in Korea were made based on the results and conclusions of the above study. © 2017 International Information Institute.

Keywords

Author Keywords

Research Trends job analysis DACUM Theses

Index Keywords

Author Affiliations
Korea Research Institute for Vocational Education and Training, Seoul, South Korea
Department of Technology Education, Korea National University of Education, Cheongju, Chungcheongbuk-do, South Korea
Funding & Acknowledgements
No funding information
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Document Identifiers
  • EID 2-s2.0-85057637886
  • Language English