[논문]간호사의 조직몰입과 이직의도에 대한 예측변인으로서 간호단위의 사회연결망

원효진

doi:10.5392/jkca.2020.20.06.187

간호사의 조직몰입과 이직의도에 대한 예측변인으로서 간호단위의 사회연결망
Social Networks of Nursing Units as Predictors of Organizational Commitment and Intent to Leave of Nurses 원문보기

한국콘텐츠학회논문지 = The Journal of the Korea Contents Association, v.20 no.6, 2020년, pp.187 - 196

초록
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본 연구는 간호단위의 사회연결망을 과업조언 연결망과 친교연결망으로 구분하여 구조적 특성을 파악하고, 간호사의 조직몰입, 이직의도와의 관계를 분석하기 위해 시도되었다. 4개 병원, 30개 간호단위에서 근무하는 420명의 일반간호사를 대상으로 하였으며, 자료는 UCINET 6.0, SPSS 20.0과 HLM 7.0을 이용하여 분석되었다. 과업조언 연결망에서는 수간호사의 연결정도 중심성이 조직몰입에, 간호단위의 밀도가 이직의도에 영향을 미치는 것으로 나타났다. 친교연결망에서는 수간호사의 근접중심성과 책임간호사의 매개중심성이 조직몰입에, 간호단위의 밀도와 책임간호사의 매개중심성이 이직의도에 영향을 미치는 것으로 나타났다. 본 연구 결과를 통한 간호사들 사이에 형성되는 사회연결망에 대한 이해를 바탕으로, 적절한 인력 배치를 위한 연결망 구조와 기회, 조건을 개발하고 다양한 형태의 전략을 수립하기 위한 이론적 근거를 제공할 수 있을 것이다.

Abstract ▼ AI-Helper

This study attempted to examine the structural characteristics of the social network of nursing units by dividing them into a job-related advice network and a friendship network, and to analyze the relationship between nurse organizational commitment and intent to leave. The subjects were 420 nurses working in 4 hospitals and 30 nursing units. Data were analyzed using UCINET 6.0, SPSS 20.0 and HLM 7.0. In job-related advice networks, degree centrality of head nurse contributed to organizational commitment. Network density contributed to intent to leave. In friendship networks, closeness centrality of head nurses and betweenness centrality of charge nurse contributed to organizational commitment. Density and betweenness centrality of charge nurses contributed to intent to leave. Accordingly, it is necessary to foster good relationships between nurses and to develop various types of strategies for building effective networks.

주제어

표/그림 (3)

표 Table 1. Organizational Commitment and Intent to Leave by General Characteristics (N=420)
표 Table 2. Multilevel Analysis on Social Networks of Nursing Units and Organizational Commitment
표 Table 3. Multilevel Analysis on Social Networks of Nursing Units and Intent to Leave

AI 본문요약
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문제 정의

The study aimed to demonstrate the relationship between individuals and group members objectively through social network analysis technique, to verify empirically the effect of social network in nursing units, which has not yet been systemized. This study highlights the fact that even if individuals are members of the same group, the nature of the relationship between them varies depending on how they construct this relationship. By dividing the overall social network into a job-related advice network and a friendship network, I have attempted to explain the relationship of such network structures with the perceptions and attitudes of individuals.
This study is a descriptive correlational study aiming to identify the structural characteristics of the social networks of nursing units by dividing them into job-related advice networks and friendship networks, and to analyze the relationships of these networks with organizational commitment and intent to leave of nurses.

제안 방법

I used a intent to leave measurement tool that was developed by Mobley[16] and modified and supplemented by Kim[17] through expert verification after modifying the vocabulary to suit the hospital environment and the nurse. It consisted of 6 items rated on a 5-point Likert scale from 1 (strongly disagree) to 5 (strongly agree), and the higher the average score, the higher the degree of intent to leave.
The structural characteristics of their social networks were analyzed through social network analysis using UCINET 6.0, after dividing the nursing units’ social networks into a job-related advice network and a friendship network.
The study aimed to demonstrate the relationship between individuals and group members objectively through social network analysis technique, to verify empirically the effect of social network in nursing units, which has not yet been systemized.
[14], in the form of a Korean version (COPSOQ-K), a modification and supplementation of the original by June and Choi[15]. This measure consisted of 4 items rated on a 5-point Likert scale from 1 (strongly disagree) to 5 (strongly agree); ratings were assigned the scores 0, 25, 50, 75, and 100. The higher the average score, the higher the degree of organizational commitment.
This study attempted to examine the structural characteristics of the social network of nursing units by dividing them into a job-related advice network, and a friendship network and to analyze the relationship between nurse organizational commitment and intent to leave. The centrality of nurses did not have a statistically significant effect on their organizational commitment or intent to leave.

대상 데이터

I selected 4 hospitals, each with 300–500 beds, that agreed to participate in the study, and obtained a convenience sample of nurses from their nursing units. A total of 420 nurses working in 30 nursing units were included. Individual participants filled out questionnaires after completing a written consent form, and after the questionnaires were completed, they were sealed in a questionnaire envelope with pre-attached double-sided tape.
Individual participants filled out questionnaires after completing a written consent form, and after the questionnaires were completed, they were sealed in a questionnaire envelope with pre-attached double-sided tape. A total of 450 copies were distributed, of which 420 were recovered (response rate: 93.3%).
I selected 4 hospitals, each with 300–500 beds, that agreed to participate in the study, and obtained a convenience sample of nurses from their nursing units.

데이터처리

The associations between nurses’ general characteristics and their organizational commitment and intent to leave were analyzed using t-tests and analysis of variance (ANOVA).

성능/효과

The intraclass correlation(ICC) of the basic model applied to this study was found to be more than 0.05(5%) so it was shown that multilevel analysis was necessary.
The results of the present study showed that group-level variables had high explanatory power. This suggests that in terms of organizational management, it is necessary to take into account the influence not only of individual-level factors but also of group-level factors.
Third, in future work, the social network structure of the entire hospital should be revealed by expanding to other nursing units and occupations within the hospital, rather than limiting responses to nurses in the same nursing department, so that the structure of the social network of the whole hospital can be clarified.

후속연구

The following suggestions are made. First, it is necessary to generalize these findings on the social network characteristics of nursing units through further research. Second, it is necessary to explore various group-level variables that may affect the results.
Furthermore, we aimed to analyze how the centrality of members in the network and the cohesion of nursing units are related to nurses’ organizational commitment, and intent to leave. Thus, this study would provide empirical information conceptualizing the relationships among nurses in each nursing unit of a hospital in order to contribute to a theoretical basis for proper nursing staffing.

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