• The Journal of the Korea Contents Association
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• v.12 no.4
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• pp.457-467
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• 2012

The purpose of the study was to explore the general characteristics of sports for all through the patterns of sports for all policy and analysis of causal relation of the determinants. To achieve this goal, 26 countries among OECD 30 members which provide useful data sources were selected. The data were analyzed by Qualitative Comparative Analysis(QCA) with cluster analysis. GDP, leisure time, social expenditure, Gini's coefficient, poverty rate and tax burden ratio were used as casual variables for Qualitative Comparative Analysis. The findings of this study were as follows. First, three patterns were examined and Korea was classified into the pattern which has low sports for all participation and sportsclub participation. Second, as a result of Qualitative Comparative Analysis for analyzing the determinants of sports for all patterns, the pattern in which includes Korea showed that GDP, leisure time, social expenditure, tax burden ratio had negative relationship and Gini's coefficient, poverty rate had positive relationship.

• 한국사회복지학회:학술대회논문집
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• 1999.10a
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• pp.213-249
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• 1999

• 한국사회복지학회:학술대회논문집
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• 1999.04a
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• pp.456-472
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• 1999

• 한국사회정책
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• v.25 no.4
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• pp.301-321
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• 2018

The purpose of this paper is to analyze whether any combination of the quantitative and qualitative aspects of the public pension system is a causal factor for the elderly poverty reduction rate. For this, fuzzy-set qualitative comparison analysis was conducted with the poverty reduction rate as the outcome condition variable, the public pension expenditure ratio, the redistributive index, the first floor public pension weight, the second floor public pension weight and the second floor forced private pension weight did. As a result of the analysis, the combination of high public pension expenditure ratio, low two - tier public pension share and high two - tier compulsory private pension share has become a cause of high poverty reduction rate of the elderly. And more various forms of association were found as the cause of low poverty reduction rate of the elderly. This paper suggests policy proposals based on the above findings.

• Education of Primary School Mathematics
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• v.19 no.1
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• pp.47-60
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• 2016

The purpose of this study is to analyze how the qualitative research is applied to mixed method research and thereby to gain an insight to suggest reasonable ways of employing qualitative method in order to accomplish intended goal of research, especially in the field of mathematics education. For that purpose, this study carefully selects and analyzes 5 article that used mixed method and were published by Education of Primary School Mathematics Journal in 2012. Unlike those a few previous studied on mixed method that focused on producing general trend by simply showing quantitative information on what the frequence of used research topic, content, methods combination, quantitative methods, and qualitative methods, this study provides detailed result of qualitative analysis on mixed studies. In sum, this study concludes with practical and in-depth suggestions on how to improve validity of mixed research and qualitative research in the field of mathematic of education.

• Journal of Technology Innovation
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• v.24 no.4
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• pp.193-219
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• 2016

We examine how combinations of key factors affecting healthcare user innovation vary by innovation stages from idea generation through R&D to commercialization and venturing using a fuzzy-set Qualitative Comparative Analysis (fsQCA) of thirty Korean cases in the healthcare field. Our empirical analysis shows that well-functioning innovation network and easy resource acquisition facilitate ideation of radical user innovation. However, technological capability and governmental support are crucial to make a shift to R&D as well as commercialization stages. Differently, incremental user innovation depends heavily on technological capability of users. Our analysis can provide policy makers as well as corporate innovation mangers with a strategic framework for boosting user innovation along three stages.

• The Journal of the Convergence on Culture Technology
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• v.5 no.1
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• pp.27-36
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• 2019

The industrialization theory that industry and economic development of country has an important influence on the development of the welfare state had become a major theory explaining the development of the welfare state. However, the theory of industrialization faced criticism that the size of public welfare was relatively weak even in advanced industrial countries where industrialization developed. To complement and explain these limitations, The theory of democracy that the welfare state could be expanded as a strategy for election competition, and the theory of power-resources theory that welfare states could develop when the power of unions and left parties demanding welfare states were strengthened. This study uses Fuzzy-set analysis for the data of OECD countries adding industrial structure variables to existing theory of the development of welfare state. The result suggests that the proportion of manufacture such as industry structure of country is important for the development of welfare state.

• Proceedings of the Korea Database Society Conference
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• 1999.06a
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• pp.325-333
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• 1999

본 논문에서는 응용범위가 넓고 비교적 복잡도가 높은 화물운송 계획문제들을 대상으로 몇 가지 실험을 통해 대표적인 인공지능 계획방식인 부분순서 계획법과 그래프 계획법의 성능을 비교 분석하였다. 또 동시에 이러한 실험을 통해 DVO 및 LPVO와 같은 대표적인 제어전략들을 중심으로 이들이 그래프 계획법의 성능에 미치는 효과를 비교 분석하여 보았다. 본 연구의 실험을 통해서는 부분순서 계획법에 비해 그래프 계획법이 메모리 사용량이나 CPU 계산시간 면에서 월등히 우수한 성능을 보여주었으며 비교적 복잡도가 큰 계획문제에서도 좋은 결과를 보여주었다. 하지만 도출된 해 계획의 질적인 면에서는 부분순서 계획법이 대부분 최적의 해를 찾아낸 것에 반해 그래프 계획법은 사용된 제어전략과 최적화 방법에 따라 해 계획의 질이 크게 달라질 수 있음을 보였다. 한편 그래프 계획법에서는 부속목표 선택 전략인 DVO는 그 효과를 뚜렷이 보이지 못한 반면 동작 선택 전략인 LPVO는 도출된 해 계획의 질적인 면이나 계산속도 면에서 모두 뛰어난 효과를 보여주었다.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 1999.03a
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• pp.325-333
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• 1999

본 논문에서는 응용범위가 넓고 비교적 복잡도가 높은 화물운성 계획문제들을 대상으로 몇 가지 실험을 통해 대표적인 인공지능 계획방식인 부분순서 계획법과 그래프 계획법의 성능을 비교 분석하였다. 또 동시에 이러한 실험을 통해 DVO 및 LPVO와 같은 대표적인 제어전략들을 중심으로 이들이 그래프 계획법의 성능에 미치는 효과를 비교 분석하여 보았다. 본 연구의 실험을 통해서는 부분순서 계획법에 비해 그래프 계획법이 메모리 사용량이나 CPU 계산시간 면에서 월등히 우수한 성능을 보여주었으며 비교적 복잡도가 큰 계획문제에서도 좋은 결과를 보여주었다. 하지만 도출된 해 계획의 질적인 면에서는 부분순서 계획법이 대부분 최적의 해를 찾아낸 것에 반해 그래프 계획법은 사용된 제어전략과 최적화 방법에 따라 해 계획의 질이 크게 달라질 수 있음을 보였다. 한편 그래프 계획법에서는 부속목표 선택 전략인 DVO는 그 효과를 뚜렷이 보이지 못한 반면 동작 선택 전략인 LPVO는 도출된 해 계획의 질적인 면이나 계산속도 면에서 모두 뛰어난 효과를 보여주었다.

• Journal of Technology Innovation
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• v.21 no.1
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• pp.85-108
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• 2013

This paper introduces a new qualitative measurement indicator, Relatively Rank-normalized Impact Factor ($R^2nIF$) that can overcome drawbacks of the existing research performance measures. With the help of this innovative indicator, this study analyzes and compares the quality of research papers across countries and National Science Indicators (NSI) standard academic fields. The development of an improved bibliometric indicator for evaluating the quality of research papers and disentangling the "international" dimension of research performance will be of interest to academics and practitioners alike.