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직장 내 소외감형성의 따돌림이 민간경호원의 직무태도에 대한 영향 및 자아존중감의 조절효과에 관한 연구 : 서울·경기지역을 중심으로
김용학,박승별,김태복,김현미 한국재난정보학회 2015 한국재난정보학회 논문집 Vol.11 No.3
This study is significant in the sense that it minimize the negative effect of workplace bullying, ultimately it maximize organizational performance and keep private security guards physical and mental health. We tested the hypothesis that workplace bullying negatively impacts private security guard’s office attitude, but there will be significant difference in influence with their level of self-esteem scale. First of all, as the result of the correlation analysis of each of variables, a positive correlation was found between self-esteem and job satisfaction but negative correlation between self-esteem they have, the more job satisfaction they get, the lower turnover intention they have. Second, we tried to find out how self-esteem affect them on their job satisfaction. Using regression analysis, we can see that job satisfaction is affected by age, workplace bullying, relational aggression and self-esteem. For example, job satisfaction is increased as they get old and self-esteem is improved, on the other hand, workplace bullying and relational aggression is decreased. Third, to find out how self-esteem affects their turnover intention, we did regression analysis. The result shows that turnover intention is affected by age, working period, workplace bulling, relational aggression and self-esteem. For example, turnover intention if higher as working period, workplace bullying, relational aggression is increased while age and self-esteem is decreased. 이 연구는 민간경호원을 대상으로 직장 내 소외감형성의 따돌림은 부정적 직무태도에 영향을 미치고 있지만 개인의 자아존중감에 따라 차이가 있을 것이라는 연구문제를 설정하여 직장 내 따돌림에 대한 부정적 영향을 최소화하며 궁극적으로는 조직의 응집력을 강화하고 민간경호원의 정신 및 신체적 건강을 지속적으로 유지하는데 그 결과의 의의가 있다고 볼 수 있다. 따라서 이러한 결과를 통하여 얻어진 결론은 다음과 같다. 첫째, 요인들 간의 상관관계를 분석한 결과 업무 따돌림과 인간관계 따돌림, 업무 따돌림과 이직의도, 인간관계 따돌림과 이직의도, 자기존중감과 직무만족은 서로 정적 상관관계를 가지고 있으며, 그 외의 변수들 간에는 서로 부적 상관관계를 가지고 있는 것이 나타났다. 둘째, 집단 내 소외감형성
김용학 한국미생물학회 2016 The journal of microbiology Vol.54 No.1
Multidrug resistance of Gram-negative bacilli is a major problem globally. However, little is known about the combined probability of resistance to various antibiotics. In this study, minimum inhibitory concentrations of widely used antibiotics were determined using clinical isolates of Escherichia coli, Pseudomonas aeruginosa, Klebsiella pneumoniae, and Acinetobacter baumannii, randomly chosen from strain collections created during 1999–2009 in tertiary medical institutions in Seoul, South Korea. To analyze combined efficacy of antibiotics against a subgroup of isolates, conditional probabilities were determined based on arbitrary, non-independent patterns of antimicrobial susceptibility and resistance. Multidrug resistance, defined as resistance to three or more classes of antibiotics, was observed in the following order: A. baumannii (96%), P. aeruginosa (65%), E. coli (52%), and K. pneumoniae (7%). A. baumannii strains resistant to gentamicin were found to be resistant to a number of antibiotics, except for colistin and polymyxin B. Resistance to gentamicin following exposure to this antibiotic was highly likely to lead to multidrug resistance in all four microbes. This study shows a causal relationship between gentamicin resistance and the prevalence of multidrug resistance in clinical isolates of Gramnegative bacilli in South Korea during 1999–2009 and suggests the importance of prudent use of gentamicin in hospitals.
김용학,남수철,고백경,강성범,심관식,Kim, Yonghak,Nam, Suchul,Ko, Baekkyeong,Kang, Sungbum,Shim, Kwansik 한국전력공사 2020 KEPCO Journal on electric power and energy Vol.6 No.3
It is very important to evaluate on/off-line stability to operate the power system stably and economically. Until now, we have continuously secured the operation reliability of the power system through the evaluation of transient, voltage and small signal stability. This paper proposes that it is possible to operate in KWAMS by applying the multi-section analysis and subspace methods and verifying the reliability of the algorithms to directly estimate the dominant oscillation mode of the power system from the signal waveform acquired from the phasor measurement units. In addition, this paper shows that the dominant oscillation mode can be detected from real-time measurement data in power systems. Therefore, if we can monitor the state of the power system in real time, it is possible to avoid a large-scale power outage by knowing the possibility of the power system accident in advance.