• Title/Summary/Keyword: 공통요인분석자

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A credit classification method based on generalized additive models using factor scores of mixtures of common factor analyzers (공통요인분석자혼합모형의 요인점수를 이용한 일반화가법모형 기반 신용평가)

  • Lim, Su-Yeol;Baek, Jang-Sun
    • Journal of the Korean Data and Information Science Society
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    • v.23 no.2
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    • pp.235-245
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    • 2012
  • Logistic discrimination is an useful statistical technique for quantitative analysis of financial service industry. Especially it is not only easy to be implemented, but also has good classification rate. Generalized additive model is useful for credit scoring since it has the same advantages of logistic discrimination as well as accounting ability for the nonlinear effects of the explanatory variables. It may, however, need too many additive terms in the model when the number of explanatory variables is very large and there may exist dependencies among the variables. Mixtures of factor analyzers can be used for dimension reduction of high-dimensional feature. This study proposes to use the low-dimensional factor scores of mixtures of factor analyzers as the new features in the generalized additive model. Its application is demonstrated in the classification of some real credit scoring data. The comparison of correct classification rates of competing techniques shows the superiority of the generalized additive model using factor scores.

Study on the Perception Gap between Technology Based Entrepreneurs and Startup Facilitators about Success Factors for Startup (기술 창업자와 창업 조력자 간 창업 성공요인의 인식차이에 관한 연구)

  • Sim, Yongho;Gil, Wungyu;Kim, Seokyun
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.10 no.2
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    • pp.43-57
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    • 2015
  • All countries of the world are promoting the creative economy policy to overcome the global economic crisis. Korean government enforces the creative economy policy for the economic growth and job creation. Especially, Technology based startup is actively supported to realize the creative economy. To maximize the efficiency of supporting start-ups, we have to analyze a perception gap of the startup success factors between technology based entrepreneur and startup facilitator. Through the analysis, the supporting policy of startup utilized efficiently the limited resources is necessary. So, the purpose of this study is analysis the difference of the startup success factors which technology based entrepreneur and startup facilitator recognize. To analysis, the start-up success factors derived from previous studies were categorized them as 1) characteristics of the founder, 2) start-up strategy, 3) characteristics of the organization, and 4) start-up environment. Also, The CEO of technology based start-ups and the researcher in national research institute to support SMEs were surveyed. Then, Survey was analyzed by utilizing the ANP methodology to priority derivation of start-up success factors. Result of analysis, Technology Based Entrepreneur was determined that 'composition and expertise of organization' is most important factor for success of startup. On the other hand, Startup facilitator was determined that 'financing strategy of organization' is most important factor for success of startup. Both groups are recognized as important strategy. And start-up environment is recognized as a relatively unimportant. On the other hand, the importance which two groups evaluate about characteristics of entrepreneur and characteristics of organization was different. This study has a academic significance to analyze the priority of the startup success factors between technology based entrepreneur and startup facilitator. Also, It can be utilized practical guideline when policy making about technology based startup.

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Analysis of Governance Common Success Factors for Activity Standards of Science and Technology Experts (Verification by a case of Climate and Environment Governance of Seoul City) (탄소중립 거버넌스 참여 과학기술전문가의 활동 기준 제시를 위한 공통성공요인 분석 (서울시 기후환경분야 거버넌스 사례를 통한 검증))

  • Ji-Kwang Cheon;Hea-Ae Kim;Min-Kyu Ji;Byong-Hun Jeon
    • Clean Technology
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    • v.29 no.2
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    • pp.151-159
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    • 2023
  • The realization of carbon neutrality requires cooperation from various stakeholders and the utilization of a governance system. The criteria for participating members are crucial for the successful operation of governance, and it is especially necessary for experts who can provide scientific advice for policy implementation to share a framework for successful consensus. In this study, governance model theory and model structure, governance common success factors by case, and the application of governance cases in the climate and environmental sector of Seoul, were investigated and analyzed to derive common success factors in order to present the activity standards of the science and technology experts participating in governance. The study of the model theory suggested that the model structure is commonly composed of a basic condition-process-result structure, and it was confirmed that common success factors can be derived at the process stage which is the activity period of members. Through the case study of common success factors, overlapping factors were found to be reliability, accountability, transparency, networks, and related factors. The validity of the common success factors was verified using the analysis results of satisfaction survey data from Seoul Governance Committee participants. The results confirmed that reliability was the most valuable factor followed by networks, transparency, and responsibility, and it was found that the related factors were appropriately derived. The findings of this study are expected to be used as an activity factor for science and technology experts to increase the acceptability and effectiveness of carbon-neutral policies in the future.

General Health Questionnaire-30을 이용한 정상.교대 근무자의 정신의학적 특징조사

  • 이철호;서유진;박영만
    • Proceedings of the ESK Conference
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    • 1998.04a
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    • pp.137-142
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    • 1998
  • 본 조사는 1996년 9월무터 12월에 걸쳐 마산.창원 공단지역 사업장에서 근무하는 정상근무 근로자 1,640명과 교대근무 근로자 1,360명을 대상으로 General Health Questionnaire(GHQ-30)을 이용하여 정신의 학적 특징 및 점수 분포를 검토하였다. 전체 문항에 대한 상관관계와 Cronbach .alpha. 계수에 의한 내적 일관성(Internal consistency)은 정상근무, 교대근무 모두 만족할 만한 수준이였고, Varimax 회전에 의한 주요인 분석으로부터 추출된 GHQ-30의 정신의학적 특징은 정상근무가 5개, 교대근무는 6개 요인이 추출되 었다. 정상근무에서 추출된 5개의 요인은 '심리적 요인', '신체적 요인', '사회적 요인', '스트레스 요인', '자신감 요인'이였고, 교대근무는 상기의 5개 요인 외의 '직무 요인'이 추출되었다. 상기의 공통된 5개 요인 구조는 대체로 비슷하였다. GHQ-30의 점수 분포는 정상.교대근무보다 왼쪽으로 치우치는 경향을 보였다. (Skewness: 정상근무=0.42, 교대근무=0.27). 인구동태학적 요인에 따른 감정적 혼란의 정도는 교대근무가 정상근무보다 높았으며, 정상.교대근무 모두 연령별, 자녀의 수, 결혼 유무에 대해서 유의한 차이를 보였으며, 각각 20대이하, 무자녀, 이혼.미혼의 집단에 있어서감정적 혼란이 큰 것으로 나타났다.

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사내하청 노동자 조직화에 있어서의 작업장 요인과 지역사회 요인: 광양만권 철강산업지역의 사례

  • Kim, Jik-Su
    • Korean Journal of Labor Studies
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    • v.17 no.1
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    • pp.209-242
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    • 2011
  • 본 연구는 현대하이스코 순천공장과 포스코 광양제철소에서의 비정규직 조직화 비교를 통해 사내하청 노동조합의 조직화에 영향을 미치는 작업장 요인과 지역사회 요인들을 살펴보고자 하였다. 기존의 비정규직 노동자 조직화를 비롯한 노동운동, 노동조합 관련 연구들은 대부분 '생산의 정치'의 영역에서 비롯된 '작업장' 요인들에 초점을 맞추고 있다. 그러나 비정규직 노동자 조직화에 대한 보다 분석을 보다 발전시키기 위해서는 작업장뿐만 아니라 '스케일의 정치'가 작동하는 공간인 '지역사회' 또한 분석의 단위로 통합되어야 한다. 따라서 본 연구는 작업장에서의 정규직 및 비정규직 노동자들에 대한 관리통제와 실천뿐만 아니라, 지역사회의 다양한 요인들이 비정규직 노동자들의 조직화 시도에 어떠한 영향을 미치는지를 검토하고자 한다. 두 사례에서 사내하청 노동자들은 철강산업이라는 산업부문과 사내하청 고용형태에 속한다는 공통점 외에도 낮은 수준의 임금과 노동조건하에서 강한 불만을 지니고 있었으며, 원청 및 사내하청 업체의 강한 통제하에 놓여 있었다는 공통점을 지닌다. 그럼에도 포스코의 경우와 달리 현대하이스코 비정규직 노동자들은 격렬한 대중투쟁과 지역사회의 지원 속에서 성공적인 조직화를 이룰 수 있었다. 사내하청 노동조합 결성 과정 또한 상이하였다. 현대하이스코의 경우 누적된 사내하청노동자들의 불만이 계약해지를 계기로 일순간 터져 나오면서 작업장 점거농성을 비롯한 대중투쟁과 결합하였다. 나아가 현대하이스코 비정규직지회는 지역사회운동과의 연대를 통해 작업장의 문제를 전체 비정규직 노동문제로 확대해 나갔다. 반면, 포스코의 경우 초기 조직화의 범위가 제한적이었고 대중투쟁 또한 강하게 나타나지 않았으며 지역사회의 관심과 지원 또한 약하게 나타났다. 이상과 같이 두 사례를 비교 검토함으로써 비정규직의 조직화에 있어 비정규직 자체 동원기제와 정규직의 지원은 여전히 중요하게 작용하지만, 이것이 확보되지 않을 경우 지역사회를 비롯한 외부의 지원이 일정하게 작용함을 살펴볼 수 있었다. 그러나 이 역시 지역사회구조 및 지역사회운동의 성격에 영향을 받는 것으로 나타났다.

Identifying Variables that Affect Learners' Preference Toward E-Learning Program (e-러닝 프로그램 선호 영향변인에 관한 탐색적 요인분석)

  • Lee, Youngmin
    • The Journal of Korean Association of Computer Education
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    • v.9 no.3
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    • pp.67-74
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    • 2006
  • The purpose of this study is identifying variables that affect to learners' preference toward specific e-learning programs, using an exploratory factor analysis(EFA) method. We extract common factors that explain the correlations among variables. In the result, 8 factors were identified as main influential factors: e-learning program design(1st factor), the purpose of e-learning use(2nd factor), social and cultural issues(3rd factor), demographics(4th factor), organizational needs(5th factor), impacts of e-learning(6th factor), e-learning management(7th factor), and technical issue(8th factor).

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A Study on Factors to the Non-Use of Public Libraries in Users, Former Users and Non-Users (공공도서관 비이용 요인에 관한 연구: 이용자, 이용 중단자, 비이용자를 중심으로)

  • Kim, Hayana;Kim, Giyeong
    • Journal of the Korean Society for information Management
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    • v.31 no.3
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    • pp.201-226
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    • 2014
  • This study aims to develop measures to turn former users and non-users of public libraries back into users by understanding the differences between the user, former user and non-user groups in terms of their perceptions to public libraries, as well as the differences between these groups in their perceptions regarding the factors to non-use of public libraries. A literature review and statistical analysis of the results from a questionnaire survey were conducted to identify the differences. The results from the statistical analysis showed significant differences between the user, former user and non-user groups in terms of their perceptions to public libraries and the non-use factors. From the results, we could categorize the factors into common non-use factors, non-use-only factors, and use interrupt factors, and we develop suggestions to improve the factors in order to move non-users and former users to frequent users of the public libraries.

Designing Questionnaires for Better Reliable Survey: Case Study of Using Railway Safety Culture Survey Data (신뢰성 향상을 위한 설문문항 설계: 철도안전문화 설문자료 사례를 중심으로)

  • Lim, Kwangkyun;Kim, Sigon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.34 no.6
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    • pp.1837-1844
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    • 2014
  • The study of safety culture estimate has received a wide attentions in many other industries, rather in the contexture of railroad stands at an initial phase. A factor analysis and internal reliability test were conducted to check if the survey results are reliable by looking at how the factors are dimensioned and how the questionnaires are sub-grouped in accordance with such factors, and further if there are any other common attributes being extracted as a new factor. The designed 5 factors were expanded to 7 through the test, and they were renamed accordingly. The questionnaires are reorganized according to the new 7 factors. It implicates that thorough investigation of the common attributes is important in reducing the gaps between interviewers' and interviewees' understanding. Moreover, the results of internal reliability test represent the new design of questionnaire is reasonably acceptable with the high reliable values. We expect such approaches can be applied for the railway culture survey study to be more reliable and applicable.

A Comparative Study on Factors Influencing Residential Satisfaction by Types of Public Rental Housing (공공임대주택 유형별 주거만족도 영향요인 비교연구)

  • Mee-Jung Lee;Chan-Ho Kim;Chang-Soo Lee
    • Land and Housing Review
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    • v.15 no.1
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    • pp.39-55
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    • 2024
  • The aim of this study is to analyse housing satisfaction among residents of different types of public rental housing-permanent, national, and happy housing-following the integration of housing types upon the full-scale supply of integrated public rental housing. By identifying key factors that influence residential satisfaction, our goal is to inform the planning of public rental housing complexes and derive policy implications. The study focuses on analysing discrepancies in residential satisfaction among residents of different types of public rental housing and comparing the factors influencing this satisfaction. Microdata from the Ministry of Land, Infrastructure, and Transport's 'Housing Situation Survey' in 2021 is utilized for analysis, employing one-way ANOVA and binomial logistic regression methods. Empirical analysis reveals variations in residential satisfaction levels between residents of permanent and national rental housing, with national rental housing residents exhibiting higher satisfaction. The influencing factors of overall condition satisfaction are consistent for permanent and national rental residents but differ for happy housing residents. Additionally, the influencing factors of overall residential environmental satisfaction vary across all three housing types. Nonetheless, common factors across all types include housing noise and facility accessibility, highlighting their significance in complex planning. Subsequent studies may involve time series analysis to assess changes in influencing factors over time.

A Study on the Influencing Factors of Learners' Satisfaction in Cyber Home Study System 2.0 (사이버가정학습 2.0에서 학습자 만족도에 대한 영향 요인 분석)

  • Park, JongHwa;Suh, Soonshik
    • Journal of The Korean Association of Information Education
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    • v.16 no.4
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    • pp.429-438
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    • 2012
  • This study was conducted to identify the factors which influenced the learners' satisfaction in Cyber Home Learning System 2.0 and to propose the suggestions for design and implementation. 870 elementary school students and 153 middle school students were surveyed and factors which influenced learners' perceptions and satisfactions were analyzed. According to the results, four common factors on the perceptions about Cyber Home Learning System 2.0 were excluded according to the levels of schools. Based on the factor analysis results, multiple regression analysis was conducted to find out the influences on Cyber Home Learning System 2.0, for elementary school students, instruction specialty, usefulness of the contents, accessibility of system, and learning mood affected satisfactions significantly in the order. For middle school students, usefulness of the contents and the learning mood affected satisfactions significantly in the order.

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