간호사의 직장 내 괴롭힘에 대한 국내 연구 동향 분석: 의미연결망분석과 토픽모델링 중심A Study on Research Trend for Nurses’ Workplace Bullying in Korea: Focusing on Semantic Network Analysis and Topic Modeling
- Other Titles
- A Study on Research Trend for Nurses’ Workplace Bullying in Korea: Focusing on Semantic Network Analysis and Topic Modeling
- Authors
- 최정실; 김영지
- Issue Date
- Nov-2019
- Publisher
- 한국직업건강간호학회
- Keywords
- 의미론; 직장내 괴롭힘; 간호사; 텍스트 마이닝; 네트워크분석; Semantics; Bullying; Nurses; Text mining; Network analysis
- Citation
- 한국직업건강간호학회지, v.28, no.4, pp.221 - 229
- Journal Title
- 한국직업건강간호학회지
- Volume
- 28
- Number
- 4
- Start Page
- 221
- End Page
- 229
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/19444
- ISSN
- 2287-2531
- Abstract
- Purpose: The aim of this study was to identify core keywords and topic groups of workplace bullying researches in the past 10 years for better understanding research trend. Methods: The study was conducted in four steps: 1) collecting abstracts, 2) extracting and cleaning semantic morphemes, 3) building co-occurrence matrix and 4) analyzing network features and clustering topic groups. Results: 437 articles between 2010 and 2019 were retrieved from 5 databases (RISS, NDSL, Google scholar, DBPIA and Kyobo Scholar). Forty-one abstracts from these articles were extracted, and network analysis was conducted using semantic network module. The most important core keywords were ‘turnover’, ‘intention’, ‘factor’, ‘program’ and ‘nursing’. Four topic groups were identified from Korean databases. Major topics were ‘turnover’ and ‘organization culture’. Conclusion: After reviewing previous research, it has been found that turnover intention has been emphasized. Further research focused on various intervention is needed to relieve workplace bullying in nursing field.
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