키워드 네트워크 분석과 토픽 모델링을 활용한 코로나19 전후 HRD 연구 주제 변화 분석

Abstract

The purpose of this study is to examine changes in research topics in major domestic HRD journals before and after COVID-19. To this end, a total of 710 papers from 2017 to 2022 were divided into pre-COVID-19 (2017-2019) and COVID-19 periods (2020-2022). Log odds ratio analysis, keywords network analysis, and topic modeling analysis were conducted,and the results of the study are as follows: First, the core keywords of research before COVID-19 were ‘knowledge,’ ‘career development,’ ‘innovation,’ ‘cooperation,’ and ‘women.’Second, the core keywords of research in the COVID-19 period were ‘COVID-19,’ ‘employment,’ ‘job finding,’ and ‘organizational culture.’ Third, new topics and keywords emerged in the COVID-19 period. 'Pandemic,' 'remote work,' 'job crafting,' and ‘online learning' were frequently used keywords in the period. Based on these results, changes in research topics in HRD journals related to COVID-19 were described. Academic and practicalimplications for the development of the HRD field in response to COVID-19 were also suggested.