• 제목/요약/키워드: Analysis Factors

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베이커리 이용객의 서비스 품질 만족도가 재 구매에 미치는 영향 (The Effect of Repurchase Intention on Baker Shop Customer's Service Quality Satisfaction)

  • 김용식;박상준
    • 한국조리학회지
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    • 제11권3호
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    • pp.40-55
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    • 2005
  • The purpose of this study was to understand the effect of customers' repurchase intention, extract important factors, systematically analyze them and suggest the direction of bakery industry through studying the customers' satisfaction with bakeries. The researcher modified the questionnaire developed by Park, CH(1998), Lee, JH(2000), Yoon, YC(2000), and Kim SE(2002). In order to assess the level of customers' satisfaction with bakeries, a five point Likert scale was used. The used statistical methods for the data analysis were frequency analysis, reliability analysis, t-test factor analysis, ANOVA, multiple regression analysis. For all analyses of the research question, an alpha level of.05 was used. The major findings obtained from this study were as fellows. First on the factors of reliability and service ability, there was a high difference between males and females, and singles and the married. Second, on the factors of accessibility using convenience, service ability, and service response, there was a high difference among using frequence. Third, on the reliability factors, there was a high difference among average using amount per month. Forth, on the factors of accessibility using convenience, and service response, there was a high difference among types of customers' residing styles. Fifth, on the factors of income level, there was statistically no difference. Lastly, on the factors of accessibility using convenience, tangibleness, and service response, these factors significantly influenced customers' repurchase intention.

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동시 출현 기반 키워드 네트워크 기법을 이용한 이동식 사다리 추락 재해 위험 요인 연관 구조 모델링 (Correlational Structure Modelling for Fall Accident Risk Factors of Portable Ladders Using Co-occurrence Keyword Networks)

  • 황종문;신성우
    • 한국안전학회지
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    • 제36권3호
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    • pp.50-59
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    • 2021
  • The main purpose of accident analysis is to identify the causal factors and the mechanisms of those factors leading to the accident. However, current accident analysis techniques focus only on finding the factors related to the accident without providing more insightful results, such as structures or mechanisms. For this reason, preventive actions for safety management are concentrated on the elimination of causal factors rather than blocking the connection or chain of accident processes. This greatly reduces the effectiveness of safety management in practice. In the present study, a technique to model the correlational structure of accident risk factors is proposed by using the co-occurrence keyword network analysis technique. To investigate the effectiveness of the proposed technique, a case study involving a portable ladder fall accident is conducted. The results indicate that the proposed technique can construct the correlational structure model of the risk factors of a portable ladder fall accident. This proves the effectiveness of the proposed technique in modeling the correlational structure of accident risk factors.

Comparison of Machine Learning Analysis on Predictive Factors of Children's Planning-Organizing Executive Function by Income Level: Through Home Environment Quality and Wealth Factors

  • Lim, Hye-Kyung;Kim, Hyun-Ok;Park, Hae-Seon
    • 인간식물환경학회지
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    • 제24권6호
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    • pp.651-662
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    • 2021
  • Background and objective: This study identifies whether children's planning-organizing executive function can be significantly classified and predicted by home environment quality and wealth factors. Methods: For empirical analysis, we used the data collected from the 10th Panel Study on Korean Children in 2017. Using machine learning tools such as support vector machine (SVM) and random forest (RF), we evaluated the accuracy of the model in which home environment factors classify and predict children's planning-organizing executive functions, and extract the relative importance of variables that determine these executive functions by income group. Results: First, SVM analysis shows that home environment quality and wealth factors show high accuracy in classification and prediction in all three groups. Second, RF analysis shows that estate had the highest predictive power in the high-income group, followed by income, asset, learning, reinforcement, and emotional environment. In the middle-income group, emotional environment showed the highest score, followed by estate, asset, reinforcement, and income. In the low-income group, estate showed the highest score, followed by income, asset, learning, reinforcement, and emotional environment. Conclusion: This study confirmed that home environment quality and wealth factors are significant factors in predicting children's planning-organizing executive functions.

연관 규칙 탐색 기법을 이용한 건설공사 비사망 재해의 특성 요인 분석 (Analysis of Characteristic Factors for Non-fatal Accidents in Construction Projects using Association Rule Mining)

  • 이가연;신성우
    • 한국안전학회지
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    • 제37권6호
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    • pp.40-49
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    • 2022
  • Simple statistical frequency based analysis, such as Pareto analysis, are widely used in conventional accident analysis. However, due to the dynamic and complex nature of construction works, many factors can simultaneously affect or involve the occurrence of accidents in construction projects. Therefore, the identification of the complex relationship between such factors is important to establish relevant and effective safety management policies and/or programs. In this study, characteristic factors and their relationships' contribution to non-fatal accidents in construction projects are analyzed using the association rule mining (ARM) technique. To this end, a total of 59,202 construction accident data are collected from 2015 to 2019 and the ARM is performed to retrieve specific relationships -named as association rules-among classified factors in the data. Characteristics of the retrieved relationships are analyzed and compared with the results of conventional Pareto analysis. Based on the results, it is found that both fall and trip are notable accident forms having characteristic relations with other factors for non-fatal accidents in construction projects. It is also found that small-scale construction, age of 50s, less than 1 month of working period, and architectural construction are important factors for non-fatal accidents in construction projects.

유아대상 동요활동의 효과에 대한 메타분석 (A Meta-Analysis on Effects of Singing Activities for Children)

  • 문동규
    • 한국산학기술학회논문지
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    • 제18권11호
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    • pp.218-228
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    • 2017
  • 본 연구는 유아대상 동요활동의 효과성을 살피기 위해, 지난 16년 간 국내에서 이루어진 석 박사 학위논문 및 학술지 연구를 중심으로 관련된 요인에 대해 메타분석을 통해 검증하였고, 요인들의 변화추이를 살피기 위해 메타회귀분석을 활용하였다. 분석 결과 동요활동 관련 요인들의 전체효과크기와 요인군들은 모두 유의미한 효과크기를 가진 것으로 나타났으며, 사회적 요인군과 문화예술적 요인군은 큰효과크기를 보인 반면, 심리 정서적 요인군은 중간효과크기를 가진 것으로 나타났다. 사회적 요인군의 하부요인은 타인인식능력 요인을 제외한 모든 요인이 유의미한 큰효과크기를 가진 것으로 나타났으며, 그 중 자연친화적행동이 상대적으로 가장 큰 효과크기를 보인 것으로 나타났다. 심리 정서적 요인군의 하부요인 중 자기표현능력과 자기조절능력은 큰효과크기를 스트레스억제와 정서지능은 중간효과크기를 보인 것으로 나타났다. 문화예술적 요인군의 하부요인은 중간효과크기를 보인 창의적 능력을 제외한 모든 요인이 큰효과크기를 보인 것으로 나타났다. 출판연도에 따른 효과크기 변화추이를 분석한 결과, 동요활동 관련 요인들의 전체효과크기와 사회적 요인군, 심리 정서적 요인군, 문화예술적 요인군 등 각 요인군 별 효과크기 변화추이가 최근 출판물에 가까울수록 활동효과가 높아지는 것으로 나타났다. 본 연구 결과 주목할 만한 시사점은 동요활동을 통한 효과에 있어 상대적으로 미진한 심리 정서적 효과 촉진을 위한 프로그램 구성 노력이 있어야 하며, 현 유야 교육관점에 맞는 창의력 효과 증진을 위한 체계화된 동요활동 구성이 요구된다는 점이다.

제조기업의 환경혁신에 대한 원인요인과 촉진요인 (The Influence Factors on the Activation of Environmental Innovations in Manufacturing Firms)

  • 최종민
    • 경영과학
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    • 제32권3호
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    • pp.71-89
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    • 2015
  • This research empirically investigated the influence factors on the activation of environmental innovations (EI) in Korean manufacturing firms. In this study, external factors (compulsory demand, government regulation, normative pressure and imitative pressure) and internal factors (environmental resources, top management support, integration of environmental tasks, capabilities of environmental personnel, and environmental strategy/environmental management systems) were totally considered. The results of a multiple regression analysis showed that influence factors such as top management support, environmental resources and integration of environmental tasks have a significant and positive impact on levels of EI. However, the effects of external factors were not statistically significant. We also examined whether capabilities of environmental personnel as well as environmental resources, which are directly related with degrees of EI, have a moderating impact on relationships between other internal factors and levels of EI. With a subgroup analysis, the moderating role of abilities of environmental personnel were empirically confirmed. Through a multiple regression analysis, the direct effects of external factors on the adoption or construction of internal factors were demonstrated. The effects of government regulation, normative pressure and imitative pressure on internal factors were significant and positive. It was also found that external factors have indirect effects on EI through internal factors. Finally, the results of multiple regression analyses indicated that EI positively influences the achievement of environmental competitive benefits, and environmental competitive advantages can improve the organizational performance of a firm.

PFC 스위칭 정류기에서 손실인자에 의한 내부손실과 효율분석에 관한 연구 (A Study on the Internal Loss and Efficiency Analysis by Loss Factors in PFC Switching Rectifier)

  • 안태영
    • 반도체디스플레이기술학회지
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    • 제23권2호
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    • pp.50-54
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    • 2024
  • In this paper, we propose a theoretical method to systematically analyze the power conversion efficiency of a single-phase PFC switching rectifier. Boost-type PFC was organized in order of highest correlation with load current using steady-state analysis results and introduced the concept of loss factor. The loss factors for each major element are summarized and presented in a table. This paper makes it easier to understand the internal loss and power conversion efficiency of the rectifier for loss factors. Lastly, to confirm the validity of the efficiency analysis results reflecting the loss factors, loss and efficiency analysis of the 2.5kW PFC rectifier was performed. The results were compared with data from a 2.5kW PFC circuit for evaluation. As a result, the usefulness of power conversion efficiency analysis reflecting the loss factors proposed in this paper was confirmed.

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한국 금융산업에서의 6시그마시행의 성공요인에 관한 실증연구 (An empirical study on the core factors of implementing 6-sigma in Korea Financial Industry)

  • 김영대
    • 한국경영과학회:학술대회논문집
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    • 한국경영과학회 2006년도 추계학술대회
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    • pp.539-544
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    • 2006
  • This study has been attempted to find that factors for successful six-sigma implementation influence non-financial performance & financial performance in korean finance industry. In addition, goal of this study is to find out core factor in korean finance industry. To achieve the aim of this study, a document study and interview and an empirical analysis were performed. The collected questionnaires for the empirical analysis were processed statistically through data cording. Cronbach'a was conducted to get the construct reliability. To identify which factors for successful six-sigma implementation influence performances of six-sigma implementation, factor analysis was conducted to get the construct validity. After factor analysis, multiple regressions were utilized to identify the core factors (or factors for successful six-sigma implementation). The result of the study that has been derived through this process is summarized below. Firstly, by analyzing the effect factors for successful six-sigma implementation has on non-financial performance of finance industry, it shows that Process-integration & standardization variable has influenced. Secondly, by analyzing the effect factors for successful six-sigma implementation has on financial performance of finance industry, it shows that 'Process-integration & standardization' variables and 'Customer & Market mind' variables have influenced. The results of this study show that 'Process-integration & standardization' and 'Customer & Market mind' are core factors to influence non-financial performance & financial performance in korean finance industry

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농산물 생산량과 기상요소의 상관관계 분석 (Correlation Analysis between Meteorological Factors and Crop Products)

  • 이기광;고광근;이중우
    • 한국환경과학회지
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    • 제21권4호
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    • pp.461-470
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    • 2012
  • Agriculture is more influenced by environmental factors rather than other industries. Among the environmental factors, the meteorological conditions mainly impact the output of agricultural products. Hence, the purpose of this study is to analyze the impact of meteorological factors on the output of elemental agricultural products. As a first step, we obtained the data of the meteorological factors (i.e., precipitation, humidity, temperature, insolation, snowdrifts, wind velocity) and the output of the various agricultural products (i.e., grain, fruits and vegetables, root crops, green vegetables, seasoned vegetables, fruits, special crops) from the year 1990 to 2009 (20 years) of Seoul and the six metropolitan cities in Korea. Then, the analysis of the correlation between the agricultural product with the largest output and the meteorological factors of the place where the corresponding agricultural product is most produced, was carried out in order to determine the core meteorological factor that most impacts the output of agricultural product. The correlation analysis revealed that humidity, insolation and wind velocity have been the crucial meteorological factors to influence the output of the agricultural products. From the result, we can induce that the meteorological forecast information about the vital meteorological factors, i.e., humidity, insolation and wind velocity, facilitates the optimized cultivation plan to maximize the output of agricultural products.

OEM 수출기업의 ODM 전환 성과와 성공요인에 관한 실증연구 (An Empirical Study on the Performance and Success factors of Transformation from OEM Exporting companies to ODM)

  • 김귀옥;배정한
    • 무역상무연구
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    • 제37권
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    • pp.361-389
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    • 2008
  • The purpose of this study is to detect the factors which have an effect on transformation level and performance and to provide the ways of successful transformation and vitalization from OEM to ODM. This study was proceeded by an empirical analysis. A model and hypotheses were set up and they were verified through the empirical analysis. Those factors were divided into four, inner company factors, strategic factors, core competence factors and purchase determining factors. In the result of the model suitability analysis on the study model of relationship among 'influencing factors of ODM transformation - ODM transformation level-export performance', every factors, $X^2=912.067$, DF=261, p value=0.000, GFI=0.737, AGFI=0.620, NFI=0.786, IFI=0.837, CFI=0.834, Q value=3.495 were rather insufficient to be a good model, but they were good enough for the general analysis. Taking these accounts into consideration, this study suggests the following implications. First, making a plan and setting up strategies in advance are required. Second, financial plan has to be prepared. Third, trends in global markets have to be analyzed. Fourth, companies have to focus on developing new materials and products through R&D. Fifth, quality competitiveness and quality control systems are required.

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