• Title/Summary/Keyword: 성숙도 측정모형

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A Survey on Appraisal Methods of Maturity Level for Applying to Simulation-based Acquisition (SBA 성숙도 심사 방법론 개발을 위한 조사 연구)

  • Park, Jinsoo;Kim, Yun Bae;Jung, Chul Woo
    • Journal of Information Technology and Architecture
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    • v.9 no.3
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    • pp.265-273
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    • 2012
  • To improve M&S and SBA, it is important that their capability and maturity models should be developed. In general, capability and maturity models provide the standards for growth and improvement as well as the assessment on the organizational maturity level and the process capabilities, which are composed of a standard reference model and appraisal methods. In this paper, following introduction of a standard reference model for SBA in brief, we investigate some appraisal methods by survey and provide frameworks of appraisal method for SBA.

Capability and Maturity Model for Simulation Based Acquisition (SBA 성숙도 측정모형에 관한 연구)

  • Park, Jin-Soo;Kim, Yun-Bae;Yoon, Jae-Wook;Kim, Jong-Won
    • Journal of the Korea Society for Simulation
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    • v.19 no.4
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    • pp.301-308
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    • 2010
  • As a new paradigm called modeling and simulation(M&S) or simulation based acquisition(SBA) has arisen, necessity of applying it to Korea has been increased. Not only rational construction of SBA but development of model which can evaluate driving results and improve relating processes to SBA is needed. Therefore we suggests the framework of capability maturity model for M&S development and SBA. The ultimate purpose of our model is improving processes relating to M&S development and SBA. The last section include detailed model which has practices for improving some SBA processes.

A Study on the Development of Assessment Model for Data Maturity of Library (도서관 데이터 성숙도 평가모형 개발 연구)

  • Sang Woo Han
    • Journal of the Korean Society for Library and Information Science
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    • v.57 no.1
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    • pp.213-231
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    • 2023
  • The purpose of this study is to develop and present a model that can evaluate the data maturity of library. To achieve this goal, library data maturity model can be applied to library was designed by analyzing previous studies related to data maturity. As a result of this study, proposed data maturity model consisting of 19 evaluation factors in 5 areas was designed, and the maturity level was set to 5 levels. In the future, it will be possible to measure the data maturity of libraries participating in the library big data project using the data maturity evaluation model, and it can be expected that in the long term, it will be possible to present a direction for data-based library operation and data utilization development.

The Structural Relationship among Personality, Negative Emotion, Motivation, Career Maturity on Mathematical Academic Achievement of Elementary School Students (초등학생의 수학 학업성취도에 영향을 주는 성격, 부정적 정서, 동기특성, 진로 성숙도의 구조적 관계 분석)

  • Kim, Jung Hoon;Lee, Moonsoo
    • Education of Primary School Mathematics
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    • v.25 no.4
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    • pp.279-295
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    • 2022
  • This study was conducted to present implications for mathematics education by identifying the structural relationship among personality, negative emotion, motivation, and career maturity that affects elementary school student's mathematical academic achievement. The participants conveniently sampled 179 students, from 4th to 6th graders enrolled in the same elementary school, and data on their psychological variables were collected in the form of secondary data. The hypothetical structural equation model established based on prior studies was verified with a two-stage approach based on the collected data. It was confirmed that construct validity and construct reliability were secured through assessing the measurement model. In addition, as a result of analyzing the path coefficient of the final structural equation model, five paths were found to be significant: 'personality→motivation', 'personality→career maturity', 'negative emotion→motivation', and 'negative motivation→mathematical academic achievement'. In particular, the path of 'negative emotion→negative motivation→mathematics academic achievement' that can be confirmed through the results needs to moderate negative emotions to improve mathematical academic achievement, and at this time, negative motivation should be considered together.

Factors Affecting Growth Curve Parameters of Hanwoo Cows (한우 암소의 성장곡선 모수에 영향을 미치는 요인)

  • Lee, C.W.;Choi, J.G.;Jeon, K.J.;Na, K.J.;Lee, C.;Hwang, J.M.;Kim, J.B.
    • Journal of Animal Science and Technology
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    • v.45 no.5
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    • pp.711-724
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    • 2003
  • Some growth curve models were used to fit individual growth of 1,083 Hanwoo cows born from 1970 to 2001 in Daekwanryeong branch, National Livestock Research Institute(NLRI). The effects of year-season of birth and age of dam were analyzed. In analysis of variance for growth curve parameters, the effects of birth year-season were significant for mature weight(A), growth ratio(b) and maturing rate(k)(P〈.01). The effects of age of dam were significant for growth ratio(b) but not significant for mature weight(A) and maturing rate(k). The linear term of the covariate of age at the final weights was significant for the A(P〈.01) and k(P〈.01) of Gompertz model, von Bertalanffy model and Logistic model. For the growth curve parameters fitted on individual data using Gompertz model, von Bertalanffy model and Logistic model, resulting the linear contrasts(fall-spring), Least square means of A in three nonlinear models were higher cows born at fall and A of Logistic model was significant(P〈.05) between the seasons. According to the results of the least square means of growth curve parameters by age of dam, least square means of mature weight(A) in Gompertz model was largest in 6 year and smallest estimating for 3 and 8 years of age of dam. The growth ratio(b) was largest in 2 year of age of dam and smallest estimating in 8 year. The A and k were not different by age of dam(p〉.05), On the other hand, the b was different by age of dam(p〈.01). The estimate of A in von Bertalanffy model was largest in 6 year and smallest in 8 and 9 years of age of dam. The b was largest in 2 year and tend to decline as age of dam increased. The A and k were not different by age of dam(p〉.05), On the other hand, the b was highly significant by age of dam(p〈.01).

Genetic Aspects of the Growth Curve Parameters in Hanwoo Cows (한우 암소의 성장곡선 모수에 대한 유전적 경향)

  • Lee, Chang-U;Choe, Jae-Gwan;Jeon, Gi-Jun;Kim, Hyeong-Cheol
    • Journal of Animal Science and Technology
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    • v.48 no.1
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    • pp.29-38
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    • 2006
  • The objective of this study was to estimate genetic variances of growth curve parameters in Hanwoo cows. The data used in this study were records from 1,083 Hanwoo cows raised at Hanwoo Experiment Station, National Livestock Research Institute(NLRI). First evaluation model(Model I) fit year-season of birth and age of dam as fixed effects and second model(Model II) added age at the final weight as a linear covariate to Model I. Heritability estimates of A, b and k from Gompertz model were 0.22, 0.11 and 0.07 using modelⅠ and 0.28, 0.11 and 0.12 using modelⅡ. Those from Von Bertalanffy model were 0.22, 0.11 and 0.07 using modelⅠ, 0.28, 0.11 and 0.12 using modelⅡ. Heritability estimates of A, b and k from Logistic model were 0.14, 0.07 and 0.05 using modelⅠ, 0.18, 0.07 and 0.12 using modelⅡ. Heritability estimates of A from Gompertz model were higher than those from Von Bertalanffy model or Logistic model in both model Ⅰand model Ⅱ. Heritability estimates of b from Logistic model were higher than those from Gompertz model or Von Bertalanffy model in both modelⅠand model Ⅱ. Heritability estimates of birth weight, weaning weight, 3 month weight, 6 month weight, 9 month weight, 12 month weight, 18 month weight, 24 month weight, 36 month weight were after linear age adjustment 0.27, 0.11, 0.19, 0.14, 0.16, 0.23, 0.52 and 0.32, respectively. Heritability estimates of birth weight, weaning weight, 3 month weight, 6 month weight, 9 month weight and 24 month weight fit by Gompertz model were larger than those estimated from linearly adjusted data. Heritability estimates of 12 month weight, 18 month weight and 36 month weight fit by Von Bertalanffy model were larger than those estimated from linearly adjusted data. In the multitrait analyses for parameters from Gompertz model, genetic and phenotypic correlations between A and k parameters were -0.47 and -0.67 using modelⅠand -0.56 and -0.63 using model Ⅱ. Those between the A and b parameters were 0.69 and 0.34 using modelⅠand 0.72 and 0.37 using model Ⅱ. Those between the b and k parameters were -0.26 and 0.01 using modelⅠand -0.30 and 0.01 using model Ⅱ. In the multitrait analyses for parameters from Von Bertalanffy model, genetic and phenotypic correlations between A and k parameters were -0.49 and -0.67 suing model Ⅰ and -0.57 and -0.70 using modelⅡ. Those between the A and b parameters were 0.61 and 0.33 using modelⅠ and 0.60 and 0.30 using model Ⅱ. Those between the b and k parameters were -0.20 and 0.02 using modelⅠ and 0.16 and 0.00 using modelⅡ. In the multitrait analyses for parameters from Logistic model, genetic and phenotypic correlations between A and k parameters were -0.43 and -0.67 using model Ⅰ and -0.50 and -0.63 using modelⅡ. Those between the A and b parameters were 0.47 and 0.22 using modelⅠ and 0.38 and 0.24 using modelⅡ. Those between the b and k parameters were -0.09 and 0.02 using model Ⅰ and -0.02 and 0.13 using model Ⅱ.

A Study on Directions for Improving the EA Maturity Model (EA 성숙도 모형 개선 방향에 관한 연구)

  • Kim, Sung-K.;Choi, Won-K.
    • Information Systems Review
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    • v.11 no.3
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    • pp.147-167
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    • 2009
  • Enterprise architecture is a business transformation effort. In an effort to assess an organization's EA effort and to identify complementary measures, most of countries utilize an EA maturity model. In Korea, the EA maturity model v2.1 has been used for this purpose. Since some limitations in the model were reported recently and there was much change in EA-related policy or approach with the advent of the new government, the need of modifying the current model has occurred. In this regard, our paper proposes an improved EA maturity model. The new model was developed through a series of systematic analysis such as an in-depth comparison of existing EA models, elicitation of alternatives for each decision-making element, and interviewing of experts.

GQM 방법을 이용한 EA 평가모형 개발 프레임워크

  • Mun, Seong-Uk;Hong, Sa-Neung
    • 한국경영정보학회:학술대회논문집
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    • 2007.11a
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    • pp.111-116
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    • 2007
  • 체계적인 정보화 투자 및 관리를 위한 전사적 아키텍처(EA)를 도입한 기관과 기업이 늘어남에 따라, EA 도입의 성과를 명확하게 평가해야 할 필요성도 높아지고 있다. EA를 도입한 나라의 약 36%에서 EA의 도입 현황과 성과를 측정하고 있으며, 국내에서도 범정부 정보기술아키텍처 성숙도 평가모형을 개발하는 등, 다양한 접근 방법으로 EA 평가를 위한 방안을 연구하고 있다. 그러나 EA를 통해 추구하는 목적이 매우 다양하고, EA의 활용과 관리에 대한 표준체계가 없어 EA 평가모형의 적용 범위와 효용성은 매우 제한적이다. 본 연구는 조직의 EA 평가목적에 적합한 평가 대상 및 척도를 체계적으로 도출하기 위한 EA 평가모형 개발 프레임워크를 제안한다. 프레임워크는 IEEE Std 1471의 아키텍처 표현 개념 프레임워크를 EA에 적용하여 EA 평가모형 체계를 구성하고, EA 내부와 외부 이해당사자의 관심사항을 토대로 GQM 기법을 적용하여 EA 평가의 대상인 관점(viewpoint)과 평가 척도(metric)를 도출한다. 제안된 프레임워크를 적용하면 기업 및 조직의 EA 이해당사자가 의도하는 목적이 반영된 EA 평가모형을 개발할 수 있다. 모형의 상세화와 더불어 프레임워크를 실무에 적용하기 위해서 필요한 객관적인 평가기준과 모형 개발과 적용을 지원하는 도구에 대한 연구가 향후 과제이다.

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The Mediating Effects of Self-esteem on the Relationship between Adolescents' Family Environment, Peer Environment and Career Maturity (청소년의 가족환경 및 또래환경과 진로성숙도의 관계에서 자아존중감의 매개효과)

  • Cha, Jung Won;Lee, Hyong Sil
    • Journal of Korean Home Economics Education Association
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    • v.26 no.3
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    • pp.53-67
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    • 2014
  • The purpose of this study was to examine the mediating effects of self-esteem on the relationship between adolescents' family environment(parent's child-rearing attitude, family cohesion), peer environment(quality of peer relationship, peer bullying) and career maturity. The subject of this study were students of third grade of middle school who reside in Seoul. 425 self reported questionnaires were used for final analysis. Findings of this study indicated that family environment of adolescents directly affected peer environment. Family environment and peer environment of adolescents directly affected self-esteem. Self-esteem was more highly affected by peer environment than family environment. Adolescents' self-esteem directly affected career maturity. The structural equation modeling showed that self-esteem mediated the relationship between family environment, peer environment and career maturity.

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