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A Study on the Employment Predictive Factors of Young University Graduates

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2023, 28(10), pp.241-246
  • DOI : 10.9708/jksci.2023.28.10.241
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : August 31, 2023
  • Accepted : October 5, 2023
  • Published : October 31, 2023

Jun-su Kim 1 Cho Woo Hong 1

1서원대학교

Accredited

ABSTRACT

The purpose of this study was to suggest the direction of university employment support through analysis of employment success factors for young college graduates and comparison of determining factors in metropolitan and non-metropolitan areas. For this purpose, the factors were analyzed using SPSS 25.0 statistical package binary logistic regression analysis using the 2019 ‘College Graduate Occupational Movement Path Survey’ data provided by the Korea Employment Information Service. As a result of the study, among the personal characteristics of college graduates in Seoul and the metropolitan area, age, parental assets, and language training experience were (+) factors for employment success, and in terms of college characteristics, 2-3 year college graduates were more likely to succeed in employment than 4-year college graduates or education college graduates. In addition, among the personal characteristics of college graduates from non-metropolitan areas, age and parental assets were (+) factors in employment success, and 2-3 year college graduates were more likely to succeed in employment than 4-year college graduates.

Citation status

* References for papers published after 2023 are currently being built.