조직 내 상사 갑질 이슈 진단 및 개선방안 도출을 위한 탐색 연구: 텍스트마이닝 및 의미연결망 분석을 활용하여

Abstract

Gabjil, which is regarded as a chronic disease in Korean society, occurs in various classes and places. In particular, supervisor’s Gabjil takes advantage of their superior position in the workplace to provide inappropriate work instructions and verbal abuse to subordinates, causing side effects that undermine an excellent workplace culture. This study aims to use major social media to collect atypical big data that is highly related to supervisor’s Gapjil within the organization and to analyze it to explore the overall perception and issues of supervisor’s Gapjil. In addition, based on the results derived from the analysis, we would like to suggest an improvement plan for supervisor’s Gapjil in the future. A total of 7,500 keywords were collected through online services provided by Naver, Daum, and Google, and the final 60 keywords were selected, which were highly related to supervisor’s Gapjil. The period of collecting keywords related to supervisor’s Gapjil was limited to three years, from April 1, 2019, to March 31, 2022. As a result, first, keywords that are highly related to supervisor’s Gapjil, such as employees, companies, bosses, work, words, reports, verbal abuse, damage, suicide, etc., were collected. Second, through CONCOR analysis, two major groups, five Surrounding groups, and seven groups were formed.