• Journal for History of Mathematics
• /
• v.20 no.3
• /
• pp.91-104
• /
• 2007

In this paper we study the method to estimate weights of the elementary mathematics achievement factors to get reference index which improves elementary mathematics teaching. For it, we discuss not only a synopsis of AHP but also write out pairwise comparison matrix through statistical survey and estimate weights by eigenvector method.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.11 no.6
• /
• pp.163-174
• /
• 2016

The object of this study identifies the weights of SWOT factors in hidden champion. And the other purpose of the study is to test the differences of weight between Korea hidden champion group and Germany theirs group. The survey research is employed for the hidden champion CEOs of two countries. This research is employed the AHP(Analytic Hierarchy Process) for the weight of SWOT factors in hidden champion based on an empirical survey done to 61 firms which are to be fostered as Korean type hidden champion and 40 firms which are to be fostered as Germany type hidden champion. And then the t-test assesses whether the weight means of two groups are statistically different from each other. The weights of SWOT factors of hidden champion have been identified. There are the differences of weight between Korea group and Germany group. The order of Korea group's weight is following by the strength (0.3062), the opportunities (0.2344), the threat (0.1804), and the weakness (0.1157). The order of Germany group's weight is following by the strength (0.2603), the opportunities (0.2286), the threat (0.1604), and the weakness (0.1432). The technology capability of strength, the lack of knowledge on overseas market of weakness and the market uncertainty of thereat have statistically differences between two groups. However, the sub-factors of opportunities statistically have no differences.

• The Journal of the Korea Contents Association
• /
• v.14 no.6
• /
• pp.367-384
• /
• 2014

This study addresses an empirical issue which has been received little attention in the contemporary finance literature: To identify any financial determinants of the profitability indices for the firms belonging to the Korean chaebol. Three hypotheses of concern were postulated and tested for the sample firms covering the periods of the pre-and post-financial global crises. Regarding the results on the 1st hypothesis test of characterizing any financial profiles for the firms (belonging to the chaebols) by estimating a legitimate panel data model: the present study found the statistically significant relationships of the explanatory variables (BVLEVl, MVLEVl, MV/BV, RISK, FCFF and FOS) with the book-value based profitability ratio: while the market-valued profitability index was explained only by BVLEV2. Regarding the 2nd hypothesis test for the profitability of the sample firms at the industry level: the chaebol firms in the chemical and the food industries overall positioned themselves into the top ranks in order, which was tested by the ANCOVA and the Tukey multiple comparison procedure. Finally: on the 3rd hypothesis test for the 'adjusted' Dupont system, only two such as the 'operating margin' and the 'asset turnover' showed their significant effects between the chaebol firms and their counterparts in both the (parametric) independent samples t-test and the (nonparametric) Wilcoxon-Mann-Whitney statistics.

• The Journal of the Convergence on Culture Technology
• /
• v.4 no.3
• /
• pp.93-98
• /
• 2018

The article studies macroeconomic effects of the oil shock for Korea, which is a representative emerging economy of Asia and a small open economy. This article analyzed the macroeconomic effects of oil shocks in terms of demand and supply. In the case of Korea, oil price shocks different responds depending on factors of shock. Oil supply shock have led to a decline in industrial activity and interest rate, and oil specific demand shock have shown the greatest increase in interest rate relative to other oil price shocks. In addition, oil demand shock driven by economic activity showed that the comsumer price and the exchange rate are the largest compared to the oil shock caused by other factors. Therefore, policy makers will need to identify the source of the oil shock.

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.24 no.1
• /
• pp.229-247
• /
• 2013

The purpose of this study is to improve the effectiveness of the e-journal process in libraries and information organizations by identifying the relative priority of each criterion in the e-journal consortium. To identify criteria in the process, this study employed a content analysis of previous studies on e-journal and consortium. A total of 73 criteria were found, and these were classified into three categories and 21 sub-categories. Then, the relative weight of each criterion was calculated using an AHP technique. This technique is one of useful tools for collecting experts' opinions. The AHP findings indicated that the cost of the e-journal was the most important criterion in the e-journal consortium. This is followed in priority by users' needs, usage statistics, and others. Using these findings, librarians and information professionals might be able to identify priorities in the e-journal work process, and to improve the effectiveness of the process.

• Journal of the Korean Data and Information Science Society
• /
• v.22 no.2
• /
• pp.245-253
• /
• 2011

Powers of rank transformed statistic for testing main effects and interaction effects for $2{\times}2$ factorial design in randomized complete block design are very superior to powers of parametric statistic without regard to the block size, composition method of effects and the type of population distributions such as exponential, double exponential, normal and uniform. $2{\times}2$ factorial design in RCBD increases error effects and decreases powers of parametric statistic which results in conservativeness. However powers of rank transformed statistic maintain relative preference. In general powers of rank transformed statistic show relative preference over those of parametric statistic with small block size and big effect size.

• Journal of Digital Convergence
• /
• v.10 no.11
• /
• pp.225-234
• /
• 2012

OSS(Open source software) pursues the freedom to have access to open source and offers several advantages, over the proprietary software, to enterprises. Based upon Rogers(1995)' innovation-diffusion process, we assume that attributes of innovations includes five characteristics of innovations: relative advantage, compatibility, complexity, trialability, and observability, and that firms' perceptions of these characteristics predict the rate of adoption of OSS. To test this hypothesis, we presents a survey result from 201 companies and institutions concerning the use of OSS. Statistical analysis shows that adoption is highly correlated with each of those characteristics of innovations, but the regression analysis indicates that only compatibility and observability have effects on the adoption of OSS. This implies that intrinsic value of OSS is important, but unless the appropriate service package for improving IT environment is provided, it is not easy to change the perspective of corporate customers more favorable toward OSS use. As a conclusion, the academic and practical implications are also discussed.

• Journal of Distribution Research
• /
• v.9 no.3
• /
• pp.1-20
• /
• 2004

This paper suggests that the relationship between store images and store loyalty is moderated by store-type (online vs. offline). Data was collected from 341 online panel survey on four online stores and four offline stores. Regression analysis with interaction terms demonstrates that assortment and service among image attributes interact with store-type. Specifically, assortment is more important for offline store loyalty where as service is more important for online store loyalty. The authors discuss the implications of these findings and offer directions for future research.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
• /
• 2004.03a
• /
• pp.487-492
• /
• 2004

본 연구에서는 인공신경망 기법을 이용하여 산사태 발생원인에 대한 가중치를 구하였다. 여름철 집중호우시 산사태가 많이 발생하는 강원도 강릉시 사천면 사기막리 와 주문진읍 삼교리에 해당한다. 산사태가 발생할 수 있는 요인으로 지형도로부터 경사, 경사방향, 곡률, 수계추출을, 정밀토양도로부터 토질, 모재, 배수, 유효토심, 지형을, 임상도로부터 임상, 경급, 영급, 밀도를, 지질도로부터 암상을, Landsat TM 영상으로부터 토지이용도와 추출하여 격자화 하였으며, 아리랑1호 영상으로부터 선구조를 추출하여 l00m 간격으로 버퍼링 한 후 격자화 하였다. 이렇게 구축된 산사태 발생 위치 및 발생요인 데이터 베이스를 이용하여 인공신경망 기법을 적용하여 산사태 발생 원인에 대한 상대적인 가중치를 구하였다. 인공신경망의 역전파 알고리즘을 이용한 사기막리 지역과 삼교리 지역의 산사태 가중치를 보면 GPS를 이용한 현장조사와 위성영상을 이용한 변화탐지 기법모두의 경우모두와 훈련지역을 실제 산사태 발생 지역과 경사도가 0°인 지역, 실제 산사태 발생 지역과 Frequence ratio를 이용하여 작성한 취약성도에서 산사태 발생이 낮을 것으로 예상되는 지역, Frequence ratio를 이용한 취약성도에서 산사태 발생이 높을 것으로 예상되는 지역 과 낮을 것으로 예상되는 지역의 경우에서도 경사도는 1.5～2.5배정도 높은 상대적 가중치를 나타냈다. 이러한 가중치는 산사태 취약성도를 작성하는데 활용될 수 있다.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2010.05a
• /
• pp.1760-1763
• /
• 2010

산지환경급변지역에서 집중호우에 의한 다량의 토사유출은 하천유역내 사회기반시설을 파괴하는 재해요인으로 작용할 수 있다. 본 연구에서는 산지환경급변지역 중 인위적인 지표교란 지역으로 대표되는 도로공사지역을 선정하여 집중호우가 발생하는 6월, 7월, 8월의 강우사상별 강우에너지와 토양침식 및 토사유출의 관계를 조사하였다. 조사결과 강우에너지가 커질수록 토양침식 및 토사유출량이 증가하는 결과를 나타내고 있다. 토양침식 조사를 위한 조사구에서 토양침식량은 식생요인과 관리상태에 따라 크게 영향을 받았다. 일반적으로는 강우에너지 증가에 따라 토양침식량이 증가한다. 도로공사지역에서는 심각한 지표교란뿐만 아니라 선행강우, 세류의 존재 여부, 그리고 외부적 요인들 때문에 상대적으로 작은 규모의 강우에 대해서도 다량의 토양침식량이 발생하는 것을 확인할 수 있었다. 교란이 발생하지 않은 인근 산지의 대조구와 공사에 의한 교란 나지사면 조사구를 비교해보았을 때, 평균 토양침식량은 약 7,352배의 차이를 보였으며, 섬유매트처리 및 사면포장처리 조사구처럼 인공적인 관리를 수행한 조사구와는 약 132배의 차이를 보였다. 또한, 인공적인 관리를 수행한 조사구는 지표사면관리의 영향과 야생종의 유입으로 지표가 안정되어 나지사면 조사구에 비해 상대적으로 적은 양의 토양침식이 발생하였다. 이는 지표교란이 심한 공사활동 지역에서는 지표특성에 따른 적합한 사면 응급처리 기법의 적용이 중요함을 나타내는 것이다.