KMID : 1003720190280040221
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Korean Journal of Occupational Health Nursing 2019 Volume.28 No. 4 p.221 ~ p.229
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A Study on Research Trend for Nurses¡¯ Workplace Bullying in Korea: Focusing on Semantic Network Analysis and Topic Modeling
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Choi Jeong-Sil
Kim Young-Ji
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Abstract
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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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KEYWORD
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Semantics, Bullying, Nurses, Text mining, Network analysis
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