• Title/Summary/Keyword: 3 요인 모형

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A Study of Factors in the Implementation of the 'The First Library in My Life'(내 생애 첫 도서관) Policy: Based on Street-Level Bureaucracy Model by Lipsky ('내 생애 첫 도서관' 정책 집행 요인에 대한 연구 - 립스키(M.Lipsky)의 일선관료제 모형을 중심으로 -)

  • Yoo, Jinsun;Kim, Giyeong
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.24 no.3
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    • pp.217-236
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    • 2013
  • As the information needs in civil society is getting diverse, the interest in local policy process based on the characteristics of local communities, especially in local policy implementation is growing. However, research in library and information policy has focused rather on policy alternatives than policy process in Korea. In this study, we analyze the policy implementation in "the First Library in my Life" policy in Kyeonggi province with the framework of the Street-Level Bureaucracy Model by Michael Lipsky. In the analysis, we attempt to identify factors in the policy implementation, to examine the usefulness of the model into the situation of Korean library policy, and to suggest major considerations in the policy implementation in Korean public libraries for successful policy implementation. From the results, the usefulness of the model is examined and the need of considering indirect socio-economic factors is suggested.

Development and Application of Traffic Accident Forecasting Model for Signalized Intersections (Four-Legged Signalized Intersections In Kwang-Ju) (신호교차로 교통사고 예측모형의 개발 및 적용 (광주광역시 4-지 신호교차로를 중심으로))

  • 하태준;강정규;박제진
    • Journal of Korean Society of Transportation
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    • v.19 no.6
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    • pp.207-218
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    • 2001
  • As a city and industries are developed rapidly, a traffic accident and congestion take places on the road link become serious and it can be a large problem of the society in the future. Especially, most of the traffic accidents on the signalized intersection are caused by the human factor, vehicle and environmental factor mutually. The relation of the traffic accident and volume is acting on the outbreak of the traffic accident and the mistake of driver altogether as a major cause. The purpose of this paper is to develop a model for the forecasting of the traffic accident and to use research data gained to predict many traffic accidents. The data of this study were used with real one of the 73 areas of the four-legged signalized intersection in Kwang-ju city from 1996 to 1998 for three years to develop a model for the forecasting of the traffic accident. The statistical methods used in this paper are the principal component, regression and correlation analysis. We studied accident models to find out useful data from the statistics method and applied the data to the different area of the Choun-La province for the verification of the model. So, the result of this paper showed a reasonable model for the forecasting or the traffic accident and possibility of the model for simulating on real case. Finally, This study would be made of a study continually for the safe design and plan for the four-legged signalized intersection.

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Development of a convergence inpatient medical service patient experience management model using data mining (데이터마이닝을 이용한 융복합 입원 의료서비스 환자경험 관리모형 개발)

  • Yoo, Jin-Yeong
    • Journal of Digital Convergence
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    • v.18 no.6
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    • pp.401-409
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    • 2020
  • The purpose of this study is to develop a convergence inpatient medical service patient experience management model(IMSPEMM) that can help in the management strategy of a medical institution to create a patient-centered medical culture. Using the original data from the 2018 Medical Service Experience Survey, 593 people with medical services inpatient(MSI) over the age of 15 were analyzed. By using the decision tree model, we developed a prediction model for overall satisfaction(OS) with the inpatient medical service experience(IMSE) and the intention to recommend patient experience(RI), and were classified into 4 and 7 types. The accuracy of the model was 68.9% and 78.3%. The OS level of IMSE was the nurse area and the hospital room noise management area, and the RI decision factor was the nurse area. It is significant that the IMSPEMM for MSI was presented and confirmed that the nurse area and the noise management area of the hospital room are important factors for the inpatient experience. It is considered that further research is needed to generalize the IMSPEMM.

The Effect of PMO Functions on IT Project Performance (PMO 기능이 프로젝트 성과에 미치는 영향)

  • Kim, Jong-Ki;Yoon, Ok-Soo
    • The Journal of Information Systems
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    • v.20 no.3
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    • pp.129-159
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    • 2011
  • 본 연구의 목적은 PMO의 기능들이 프로젝트 성과에 미치는 직접 효과와 프로젝트 관리 프로세스의 수행을 통한 간접 효과를 PLS 경로모형을 통해 파악하는데 있다. 또한, PMO 역량 및 최고 경영진의 지원에 따른 프로젝트 성과의 차이의 상호 효과 및 그 효과의 크기를 찾고자 한다. 본 연구에서는 방법론 제공, 행정적 지원, 교육 및 훈련, 자원 관리, 지식 관리를 통하여 형성되는 PMO기능과 통합, 범위, 시간, 비용, 품질, HR, 커뮤니케이션, 위험, 자원조달 등을 통하여 형성되는 프로젝트 관리과정을 측정하기 위하여 2차 요인 모형(second-order construct model)으로 연구 모형을 검증하였다. 본 연구에서 각 1차 요인(first-order construct)은 반영지표를 이용하여 분석 하였으며, 2차 요인은 조형지표를 이용하여 분석하였기에, 반영지표와 조형지표가 모두 포함되어있는 모형 분석에 용이한 자료처리 도구인 PLS를 이용하였다. 본 연구의 설문대상은 PMO의 지원 하에서 프로젝트를 수행해 본 경험이 있는 프로젝트관리자나 프로젝트 리더와 같은 전문가 집단으로 한정하여 온라인 설문조사를 실시하였다. 분석 결과, PMO 기능 및 프로젝트 관리과정 모두 프로젝트 성과에 유의한 영향을 미치는 것으로 확인되었다. 또한 PMO기능을 수행할 때, PMO역량에 따라 프로젝트 성과에 유의한 차이가 존재함이 확인되었다. 따라서 경영진들은 프로젝트 수행 시 프로젝트 성과에 긍정적 영향을 미치는 PMO의 설립을 적극적으로 검토해야 한다. 또한 PMO의 역량에 따라 프로젝트 성과에 차이가 발생하므로 프로젝트를 관리하는 PMO에 충분한 권한을 부여하고 경영진의 지원을 신속하게 함으로써 프로젝트를 성공적으로 수행할 수 있을 것이다.

A Study on the Analysis and Prediction of Housing Mortgage in Deposit Bank Using ARIMA Model (ARIMA 모형을 활용한 예금은행 주택담보대출 분석 및 예측 연구)

  • IM, Chan-Young;Kim, Hee-Cheul
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.12 no.3
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    • pp.265-272
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    • 2019
  • In this study, we conducted a prediction study to qualitatively identify the continuous growth rate that causes problems every year for deposit bank mortgage loans, identify the characteristic factors that could once again stabilize, and come up with measures for future quantitative analysis of mortgage loans and growth trends. Based on data analysis using the R program, which is widely used for big data analysis, the parameters of ARIMA model (0.1,1)(0.1,1)[12] were found to be most suitable. In these indicators, estimates over the next five years (60 months) increased 4.5% on average. However, this has limitations that do not reflect socio-environmental factors, which require further study of these limitations.

Study on analysis with partial least square path modeling using multiple factor analysis (다중요인분석을 이용한 부분 최소제곱 경로 모형에 대한 고찰)

  • Park, Ri-Ra;Lee, Eun-Kyung
    • The Korean Journal of Applied Statistics
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    • v.31 no.3
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    • pp.315-328
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    • 2018
  • In this paper, we examine the methodology to predict consumer preferences using several groups of attributes of products and application to real data. In the food industry, studies are in progress to investigate the relationship between product attributes and consumer preferences; consequently, various methodologies are proposed. Among these methodologies, we consider multiple factor analysis (MFA). The result of the MFA enable the division of consumers into four clusters with similar liking and the defining of preference characteristics for each cluster. Also, using the results of multiple factor analysis, we find the partial least squares path model to predict consumer preferences through the characteristics of the product and the characteristics evaluated by consumers. We can understand the relationship between the cluster of consumers and the preferred/undesirable characteristics of products through the partial least squares path model applied to two clusters with different liking. When multiple factor analysis is used in the partial least squares path model, it is possible to investigate relationships between products and consumers by analyzing product characteristics and consumer preferences simultaneously. The results can be applied to product developments and sales which makes this methodology important and useful.

A Validation of the Korean Version of the Playfulness Scale for Adults (한국판 성인용 놀이성 척도의 타당화)

  • Suin Jung ;Hyun-nie Ahn
    • Korean Journal of Culture and Social Issue
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    • v.25 no.4
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    • pp.353-375
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    • 2019
  • The purpose of this study was to examine the validity and reliability of the Playfulness Scale for Adults. The Korean version of the Playfulness Scale for adults was developed by Proyer, R.T (2017) to measure the playfulness of adults. To validate the OLIW in Korean, item translation, back-translation, item analysis, and exploratory factor analysis (EFA) were conducted with 406 adults in study 1. Of the results obtained from study1, three items and one factor (7 items) were discarded because they turned out to be improper. In addition, 4 factors that were not the same as the original scale were extracted. This was checked by conducting confirmatory factor analysis (CFA) with 336 adults in study 2. CFA supported the 4 factors structure and all 4 factors showed adequate internal consistency. To check the concurrent validity of the Korean adults playfulness scale, correlation analysis with the APS, SMAP, PSYA, and NEO Personality Assessment was conducted. It showed significant positive correlation to APS, SMAP, PSYA, and showed the similar patterns of correlation with the sub factors of NEO Personality Assessment. Adult playfulness is related to the participation frequency of leisure. In conclusion, the Korean version of the playfulness scale for adults is a valid measure of playfulness for adults in Korea. The implications, practical use and suggestions for future study were discussed.

Information Risk and Equity Premium (정보위험과 주식수익률 프리미엄)

  • Park, Jong-Won;Yeoh, Hwan-Young
    • The Korean Journal of Financial Management
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    • v.27 no.1
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    • pp.209-237
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    • 2010
  • This paper examines the relationship between information risk and equity premium in the Korean stock market. We use accruals quality as a proxy of information risk. Accruals quality (AQ) is estimated by Dechow and Dichev (2002) model, and then AQfactor is constructed based on the estimated AQ. Time-series and cross-sectional regression models are used to examine the relationship between information risk and equity premium, reflecting the critics of Core et al. (2008). The result of the paper shows that information risk proxied by accruals quality is not priced in equity premium in the Korean stock market. This result is consistent with Core et al. (2008) for US firms, but different with Francis et al. (2005) for US firms and Gray et al. (2008) for Australia firms. Also, the result shows that AQfactor is closely correlated with firm characteristic variables such as firm size. This implies that the effect of AQ on equity premium is more likely to arise from the pricing error due to firm characteristics rather than from an unknown risk factor.

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Interdependence of Poverty and Unemployment and the Welfare Policy Effectiveness (빈곤과 실업의 원인과 복지정책의 효과)

  • An, Chong-Bum;Kim, Cheol-Hee;Jeon, Seung-Hoon
    • Journal of Labour Economics
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    • v.25 no.1
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    • pp.75-95
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    • 2002
  • Using 3 years of panel data on nearly 3,507 households, the Korea Labor Income Panel Survey(KLIPS) data, the authors measure the determinants of poverty and unemployment, and the extents to which poverty influenced unemployment. The probit analysis of unemployment shows that unemployment probability is lower, when male, lower age and is higher, high-school and over junior college, work duration is over 3 years. The probit analysis of poverty shows that poverty probability is lower, when male, higher education level, longer career. specially unemployment and social insurance is determinants of increasing poverty. Bivariate probit model of unemployment and poverty also provides similar findings to those probit analysis and shows an evidence of the influence of unemployment on poverty along with the positive role of social welfare policy such that social welfare receipt reduces the impact of unemployment on poverty.

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Survival Factors and Survival Rates of Foreign-invested Companies (외국인투자기업 생존율 및 영향요인)

  • Seong, Kil-Yong
    • The Journal of the Korea Contents Association
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    • v.19 no.5
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    • pp.287-295
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    • 2019
  • This study was conducted to analyze firm survival rate and impact factors of survival of Foreign-invested Companies in Korea which is between 2006 and 2017. An empirical analysis of the survival factors of firms used explanatory variables such as characteristics of the and 3 firm dummy and 2 firm factors, financial variables of 3 profitability and 3 stability factors. The Kaplan-Meier method was chosen to perform analyses on the survival rates, Cox Proportional Hazard Model took to conduct on the impact factors. As a result of the impact factors of Foreign-invested Companies survival, Ownership (OS), Labour (NE ) of characteristics of the firm had positive effects. The Gross Sales Profit (GSP), Net Profit (NP ) and Operating Profit (OP ) of the financial characteristics had a positive effect. Additional Asset (LA ) had positive effects and Capital (LC), Debt (LB ) had a negative effect. Other factors did not produce significant results.