• 제목/요약/키워드: Factors Influencing Analysis

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원자력발전소 비상운전시의 운전원 인지오류 예측 지원체계의 개발 (A Framework for the Support of Predictive Cognitive Error Analysis of Emergency Tasks in Nuclear Power Plants)

  • 김재환;정원대
    • 한국안전학회지
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    • 제16권3호
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    • pp.117-124
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    • 2001
  • This paper introduces m analysis framework and procedure for the support of the cognitive error analysis of emergency tasks in nuclear poler plants. The framework provides a new perspective in the utilization of influencing factors into error prediction. The framework can be characterized by two features. First, influencing factors that affect the occurrence of human error me classified into three groups, i.e., task characteristic factors(TCF), situation factors(SF), and performance assisting factors(PAF). This classification aims to support error prediction from the viewpoint of assessing the adequacy of PAF under given TCF and SF. Second, the assessment of influencing factors is made by each cognitive function. Through this, influencing factors assessment and error prediction can be made in an integrative way according to each cognitive function. In addition, it helps analysts identify vulnerable cognitive functions and error factors, and obtain specific nor reduction strategies. The proposed framework was applied to the error analysis of the bleed and feed operation of nuclear emergency tasks.

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ICT 기업의 해외수출 성과에 미치는 영향요인의 분석 (An Analysis of an Influencing Factor in the Export Performance of ICT Company)

  • 이선규
    • 서비스연구
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    • 제5권2호
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    • pp.1-13
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    • 2015
  • 본 연구에서는 선행연구를 통하여 ICT 기업의 해외 수출 성과에 미치는 영향을 도출하여 도출된 영향요인들에 대해서 각 요인별로 중요도를 분석하면서 분석결과를 바탕으로 ICT 해외 수출기업에 실무적인 차원에서 해외 수출 성과에 미치는 영향요인들을 제시하였다. 분석결과 ICT 기업의 해외 수출성과에 미치는 영향요인으로 1차 계층 요인 중 기업특성이 가장 중요한 영향요인으로 분석되었고, 2차 계층 요인을 12개 요인으로 설정하여 분석한 결과에서는 수출경험, 최고경영자 시장지향성, 마케팅 전략, 수출시장 매력도 등 4개 요인이 매우 중요한 요인으로 분석되어 ICT 기업의 해외 수출성과에 미치는 영향 요인들이 우선은 기업 내부요인 즉, 기업 특성이나 마케팅 특성이 더 중요한 영향 요인임을 알 수 있었다.

Smartphone Adoption using Smartphone Use and Demographic Characteristics of Elderly

  • Shin, Won-Kyoung;Lee, Dong-Beum;Park, Min-Yong
    • 대한인간공학회지
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    • 제31권5호
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    • pp.695-704
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    • 2012
  • Objective: The purpose of this study was to investigate major factors influencing adoption of smartphone to promote its use by older adults. Background: Despite increasing proportion of elderly people and elderly market, the proportion of elderly smartphone user is still relatively small compared to whole smartphone users. Thus, we need to find out major factors influencing adoption of smartphone to increase proportion of elderly smartphone users. Method: Seven major factors were extracted from 36 survey questions using factor analysis. Regression analysis was also applied to determine specific factors affecting intention of use based on user versus non-user of smartphone, age, gender, and educational background. Results: As results of factor analysis and regression analysis, major factors influencing adoption of smartphone for elderly users were significantly different according to gender, age, educational background based on smartphone users or non-users. Conclusion: The result of this study identified major factors influencing adoption of smartphone for the elderly and provided basic information related to adoption of smartphone according to elderly people's characteristics. Consequently, we can expect to reduce the information gap and to improve quality of life for the elderly. Application: The development and marketing strategy could be applied differently based on the factors influencing adoption of smartphone. It is also possible to develop a prediction model for smartphone adoption according to elderly users' characteristics.

뇌졸중 환자의 결과지표에 영향을 주는 요인: 다변량 회귀분석과 다수준분석 비교 (Factors Affecting the Outcome Indicators in Patients with Stroke)

  • 김선희;이해종
    • 보건행정학회지
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    • 제25권1호
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    • pp.31-39
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    • 2015
  • Background: The purpose of this study is comparison of the results between regression and multi-level analysis to find out factors influencing outcome indicators (in-hospital death, length of stay, and medical charges) of stroke patients. Methods: By using patient sample data of Health Insurance Review & Assessment Service, patients admitted with stroke were selected as survey target and 15,864 patients and 762 hospitals were surveyed. Results: For the results of existing regression analysis and multi-level analysis, models were assessed through model suitability index value and as a result, the value of results of multi-level analysis decreased compared to the results of regression, showing it is a better model. Conclusion: Factors influencing in-hospital death of stroke patients were analyzed and as a result, intra-class correlation (ICC) was 13.6%. In factors influencing length of stay, ICC was 11.4%, and medical charges, ICC was 17.7%. It was found that factors influencing the outcome indicators of stroke patients may vary in every hospital. This study could carry out more accurate analysis than existing research findings through analysis of reflecting structure at patient level and hospital level factors and analysis on random effect.

노인 암환자의 건강관련 삶의 질 영향요인: 2015년 한국의료패널 자료 분석 (Comparison of Factors Influencing Health-Related Quality of Life between Young-Aged and Old-Aged Patients with Cancer: Analysis of the 2015 Korea Health)

  • 김신미;이인숙
    • 가정간호학회지
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    • 제27권2호
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    • pp.156-168
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    • 2020
  • Purpose: This study aimed to examine factors influencing health-related quality of life (HRQOL) and compare them between young-aged and old-aged patients with cancer. Methods: Data of 291 patients (young-aged: 168, old-aged: 123) were obtained from the 10th wave of the 2015 Korea Health Panel Survey. The HRQOL was measured using the Korean version of Euro-QoL-5D. Independent t-test, analysis of variance, and multiple regression analysis were performed to identify factors influencing HRQOL. Results: The average HRQOL score was 0.87±0.10 and 0.82±0.15 among young-aged and old-aged, respectively. The factors differed partially between the two groups. For young-aged, the influencing factors were activity restriction, subjectively perceived health status, and smoking. For old-aged, the influencing factors were activity restriction, subjective health status, and unmet healthcare needs. Conclusion: Strategies to improve the HRQOL of elderly adults need to be developed considering the age group. Additionally, studies that include clinical factors such as symptoms are required to prepare need-based practical approaches for better quality of life of such patients.

남녀 아동의 또래 괴롭힘의 가해와 피해에 또래관계, 우울 및 공격성이 미치는 영향 (The Effect of Peer Relationship, Depression, and Aggression on Bullying and Victim among Boys and Girls)

  • 강인설;박희경
    • Human Ecology Research
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    • 제52권3호
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    • pp.213-228
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    • 2014
  • This study examined the effects of peer relationships, depression, and aggression on bullying and victimization among boys and girls. The subjects were 364 3rd grade students (boys, 218; girls, 146) and 368 6th grade students (boys, 186; girls, 182), that is, a total of 732 students from three elementary schools. Data were collected on bullying, victimization, peer relationships (mutual friendship, mutual antipathy, and peer popularity), depression, and aggression (overt aggression and relationship aggression) from July 12, 2012 to July 13, 2012. These data were analyzed by means of a chi-squared analysis, t-test, and a logistic regression analysis. The results revealed that there were differences by sex in the case of direct bullying and victimization but no differences in the case of indirect bullying and victimization. Among boys, the factors influencing direct bullying were depression and overt aggression, and the factor influencing direct/indirect victimization was depression. Among girls, the factors influencing direct bullying were mutual antipathy relations and relational aggression, the factors influencing indirect victimization were mutual antipathy relations and peer popularity, the factor influencing indirect bullying was mutual antipathy relations, and the factor influencing indirect victimization was peer popularity. The results of this study showed that the factors influencing bullying and victimization are differences in sex. Finally, the implications and methodology for developing bullying prevention education programs were discussed.

노년기 자살생각의 요인과 변화추이 분석: 국민건강영양조사 3개년도(2001, 2005, 2010)자료를 활용하여 (Influencing Factors and Trend of Suicidal Ideation in the Elderly: Using the Korea National Health and Nutrition Examination Survey(2001, 2005, 2010))

  • 최령;황병덕
    • 보건교육건강증진학회지
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    • 제31권5호
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    • pp.45-58
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    • 2014
  • Objective: The purpose of this study was to analysis the determinants and trend of suicidal ideation the elderly in Korea. Methods: This study participants were selected the elderly over the age of 55 from the Korea National Health and Nutrition Examination Survey in 2001(n=1,122), 2005(n=2,098), and 2010(n=2,402). Statistical analysis methods used in this study were $x^2$-test, logistic regression analysis and other basic statistics such frequency, percentage using SPSS version 21.0. Results: In 2001, the influencing factors of suicidal ideation was spouses, subjective health status and stress recognition. In 2005, the influencing factors of suicidal ideation were spouses, subjective health status, chronic disease amount, activity limitation, depression experience and stress recognition. In 2010, the influencing factors of suicidal ideation were elderly, education level, subjective health status, activity limitation, depression experience and stress recognition. Conclusions: The health education considering the characteristics of each elderly group should be developed and applied to prevent adults' suicidal ideation because the factors influencing suicidal ideation were revealed differently between the elderly group.

ICT 산업 종사자의 조직몰입에 미치는 영향요인의 분석 (An Analysis of an Influencing Factor on Organizational Commitment of ICT Industrial Workers)

  • 이선규
    • 서비스연구
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    • 제6권1호
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    • pp.17-28
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    • 2016
  • 본 연구에서는 선행연구를 통하여 ICT 산업 종사자의 조직몰입에 미치는 영향을 도출하여 도출된 영향요인들에 대해서 각 요인별로 중요도를 분석하면서 분석결과를 바탕으로 ICT 기업에 실무적인 차원에서 조직몰입에 미치는 영향요인들을 제시하였다. 분석결과 ICT 산업 종사자의 조직몰입에 미치는 영향요인으로 1차 계층 요인 중 사회적 지원이 가장 중요한 영향요인으로 분석되었고, 2차 계층 요인을 12개 요인으로 설정하여 분석한 결과에서는 정서적 지원, 정보적 지원, 물질/도구적 지원 등 3개 요인이 매우 중요한 요인으로 분석되었다. 그러나 심리적 임파워먼트는 상대적으로 중요도가 낮은 것으로 분석되었다.

간호대학생의 진로행동에 영향을 미치는 요인에 대한 경로 분석- 사회인지 진로이론을 중심으로 (Path Analysis of Factors Influencing Career Preparation Behavior of Korean Nursing Students - Based on Social Cognitive Career Theory)

  • 구현영;박옥경;정선영
    • Child Health Nursing Research
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    • 제23권1호
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    • pp.10-18
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    • 2017
  • Purpose: The purpose of this study was to identify personal, contextual, and cognitive factors influencing the career preparation behavior of Korean nursing students. In this study, an examination was done of the fitness of a path model for the relationship among these factors based on the social cognitive career theory. Methods: The participants were 413 nursing students in South Korea. Data were collected using self-report questionnaires that included self-esteem, social support, self-efficacy, outcome expectation, career decision level, and career preparation behavior. Data were analyzed using descriptive statistics, Pearson correlation analysis, and path analysis. Results: The factors influencing career preparation behavior were self-efficacy, career decision level, self-esteem, outcome expectation, and social support. The factors influencing career decision level were self-efficacy, outcome expectation, self-esteem, and social support. Conclusion: The findings indicate that self-efficacy is an important factor influencing the career behavior of Korean nursing students. Nurse educators should consider personal, contextual, and cognitive factors of nursing students and develop systemic career guidance programs to help nursing students' career preparation behavior.

기술이전성과의 영향요인에 관한 메타분석 (Meta-Analysis on Factors Influencing Technology Transfer Performance)

  • 정부일;현병환
    • 기술혁신학회지
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    • 제21권2호
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    • pp.522-559
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    • 2018
  • 본 연구에서는 기술이전성과의 영향요인에 관하여 선행연구들(국내 학술지 및 학위논문 52편)의 내용을 검토 분석하고 다양한 영향요인들을 이론적 배경을 기반으로 6개 상위요인과 13개 하위요인으로 정리하였다. 선행연구결과들을 메타분석으로 종합하여 기술이전성과에 영향을 미치는 요인들의 전체평균 효과크기를 산출해 내었고, 하위영향요인별 효과크기를 비교 검토하여 핵심영향요인을 식별해 내었다. 메타분석의 랜덤효과모형을 적용하여 산출한 평균효과크기(ESr)는 .269로서 중간효과크기에 해당하며, 하위요인분석을 통해 연구자 수, 전담조직, 보유기술, 그리고 외부협력이 핵심영향요인으로 도출되었다. 기술이전성과는 기술이전 건 수, 기술이전 수입금액, 기타 기술이전성과의 3가지 유형으로 구분하여 하위범주 수준에서의 메타분석을 통하여 각 유형별로 주요 영향요인들을 도출하였다. 논문유형과 자료유형에 대한 조절효과 여부를 분석하였으나 통계적으로 유의한 결과가 도출되지 않았다. 본 연구는 기술이전 사업화 프로세스 중 기술이전과정에 제한된 연구이므로 후속연구에서 기술사업화 영향요인 관련 연구의 추진이 필요하다.