East Asian Journal of Business Economics (EAJBE) (동아시아경상학회지)

East Asia Business Economics Association (동아시아경상학회)
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A Study on the Development of Educational Curriculum Model for Labor Manager's Empowerment : Focusing on NCS Labor Management Capability Unit

  • Received : 2020.01.02
  • Accepted : 2020.02.29
  • Published : 2020.03.30
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Abstract

Purpose - The labor management department is an important area in charge of the labor-management relations that affects the competitiveness of the company. This study seeks to diagnose labor management education focusing on labor manager competency strengthening curriculum that is currently being conducted domestically and propose an educational model that can contribute to the labor manager competency development by researching improvement measures. Research design, data, and methodology - In this study, the first phase is a Delphi open form survey and 15 expert panels participated. The second phase had 31 expert panels participating and in the final IPA analysis, targeting 111 on-site subjects, it conducted a survey regarding desired level of current educational level and future education requirement. Results - A final 57 subjects regarding 11 items to increase the competency of the labor managers through the first and second Delphi survey was deduced through this study. To add, regarding the current education level and desired level that the current workers are thinking with respect to analysis results of the 57 subjects through the IPA analysis, an educational model could be deduced to increase competency of the labor managers based on the result. Conclusions - Thus far, research regarding labor management has been insufficient as it was defined as a subordinate role to human resources. This study reviews the role and competency of labor managers and presented an educational model to strengthen the capabilities of internal labor managers to re-illuminate the labor manager. However, this study is limited in terms of the diversity of the types of companies participating and the small number of panels. Better data can be produced if such parts are supplemented in the future.

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References

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