• The Journal of the Korea Contents Association
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• v.20 no.7
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• pp.602-617
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• 2020

The aim of this study is to evaluate the effects of income-led growth path induced by government and consumption expenditures. Six of Nordic countries, Latin American countries and South Korea are selected for this purpose due to the fact that these countries have been pursuing income-led growth policy for more than the last decade except South Korea. The structural equation is formulated based on the government and consumption expenditures with lagged variable, and the GLMs estimation is employed for empirical analysis. Although the impacts are not overwhelmingly effective, empirical evidence suggests that income-led growth path contributes to stimulate economic activities which are associated with increasing in national income in Nordic countries and South Korea. However, the income-led growth path is quite weakly operated. Furthermore, it is even unstable in Latin American countries. In addition to this, the policy target would rather be focused on middle consumption group than low consumption group. Overall, it would be concluded that the income-led growth policy should be implemented for complementary purpose. And, it also has to be mentioned that sustainable growth may not be achievable by this policy.

• Journal of the military operations research society of Korea
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• v.32 no.1
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• pp.51-72
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• 2006

There are many occasions that the performance of a corps is influenced not only by its own efforts but by the commander of the next higher unit in a vertical organizational structure. When the direction of the commander in the next higher organization is different from that of the actual evaluation agency, the unit under evaluation may get rated lower than what it should deserve. This study suggests an alternative method to evaluate the performance of military units in the situation that there exist critical environmental factors which affect the performance. This method employes DEA, a non parametric method, and Constrained Canonical Correlation Analysis(CCCA), a parametric method which is used to estimate a efficient frontier with multiple dependent variables and constraints. This article also exploits a set of categorical environmental variables in the CCCA to improve the fairness of performance evaluation. It is shown that the introduction of the categorical variables helps evaluating the true performance of individual units such as battalions subordinated to different next higher commanders.

• Journal of Korean Library and Information Science Society
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• v.54 no.2
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• pp.1-22
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• 2023

In this study, we propose a plan to reflect LRM in various library-related standards or systems through analyzing the reflection of LRM in RDA. To this end, LRM and RDA 2020 were analyzed in terms of entities, relationships, attributes, and encoding schemes. First of all, for the mapping of entities, relationships, and attributes, all properties and relationships were extracted for each entity of RDA, LRM elements corresponding to each property and relationship were found and mapped, and encoding schemes were additionally compared. As a result, the things to consider in the standards and systems to which LRM is to be applied are: first, entities development considering the LRM hierarchy; second, new relation or shortcut path relation development; third, attributes expansion according to the entities considering the LRM hierarchical structure, and fourth, the development of various encoding scheme. Through this study, it will be possible to find an application plan using the application of RDA as a model in standards or systems to accept LRM.

• Journal of the military operations research society of Korea
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• v.28 no.2
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• pp.34-55
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• 2002

This paper deals with the multiple attribute decision making problem when a decision maker incompletely articulates his/her preferences about the attribute weight and alternative value. Furthermore, we consider the attribute tree which is structured hierarchically. Techniques for establishing dominance with linear partial information are proposed in a hierarchically structured attribute tree. The linear additive value function under certainty is used in the model. The incompletely specified information constructs a feasible region of linear constraints and therefore the pairwise dominance relationship between alternatives leads to intractable non-linear programming. Hence, we propose solution techniques to handle this difficulty. Also, to handle the tree structure, we break down the attribute tree into sub-trees. Due to there cursive structure of the solution technique, the optimization results from sub-trees can be utilized in computing the value interval on the topmost attribute. The value intervals computed by the proposed solution techniques can be used to establishing the pairwise dominance relation between alternatives. In this paper, pairwise dominance relation will be represented as strict dominance and weak dominance, which ware already defined in earlier researches.

• Journal of the Korean Data and Information Science Society
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• v.23 no.1
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• pp.39-51
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• 2012

Cluster analysis has proven to be a useful tool for investigating the association structure among genes and samples in a microarray data set. We applied several cluster validation measures to evaluate the performance of clustering algorithms for analyzing microarray gene expression data, including hierarchical clustering, K-means, PAM, SOM and model-based clustering. The available validation measures fall into the three general categories of internal, stability and biological. The performance of clustering algorithms is evaluated using simulated and SRBCT microarray data. Our results from simulated data show that nearly every methods have good results with same result as the number of classes in the original data. For the SRBCT data the best choice for the number of clusters is less clear than the simulated data. It appeared that PAM, SOM, model-based method showed similar results to simulated data under Silhouette with of internal measure as well as PAM and model-based method under biological measure, while model-based clustering has the best value of stability measure.

• Management & Information Systems Review
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• v.35 no.3
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• pp.131-153
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• 2016

This research suggests a structural model of green purchase behavior, focusing on the moderating effect of affordability. Affordability means buying power or ability to buy products. Based on the literature review, a research model of behavior of buying green products was proposed and tested empirically using the field study. To examine the proposed research model, the reliability and validity verifications on measurement items were carried out and then the structural equation model analysis was applied to test the model. Lastly, to test the moderating effect of affordability, a two-group model(using Amos program) was used subsequently so that it could be determined whether or not there was any significant difference in structural parameters between the high affordability group and the low affordability group. The empirical results are as follow: Firstly, green purchase attitude is influenced by ecological concern and collectivism, then green purchase attitude has an impact on green purchase intention, and in turn, green purchase intention affects green purchase behavior. Secondly, affordability significantly moderates the relationship between green purchase intention and green purchase behavior. These results are consistent with the past researches and based on them, some managerial implications are given.

• The Korean Journal of Applied Statistics
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• v.35 no.4
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• pp.553-568
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• 2022

The Household Income and Expenditure Survey is a representative survey of Statistics Korea, which aims to measure and analyze national income and consumption levels and their changes by understanding the current state of household balances. Recently, the disconnection problem in these time series caused by the large-scale reorganization of the survey methods in 2017 and 2019 has become an issue. In this study, we model the characteristics of the time series in the Household Income and Expenditure Survey up to 2016, and use the modeling to compute forecasts for linking the expenditures in 2017 and 2018. In order to evenly reflect the characteristics across all expenditure item series and to reduce the impact of a specific forecast model, we synthesize a total of 8 models such as regression models, time series models, and machine learning techniques. In particular, the noteworthy aspect of this study is that it improves the forecast by using the optimal combination technique that can exactly reflect the hierarchical structure of the Household Income and Expenditure Survey without loss of information as in the top-down or bottom-up methods. As a result of applying the proposed method to forecast expenditure series from 2017 to 2019, it contributed to the recovery of time series linkage and improved the forecast. In addition, it was confirmed that the hierarchical time series forecasts by the optimal combination method make linkage results closer to the actual survey series.

• Journal of the Korean Society for Library and Information Science
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• v.47 no.4
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• pp.335-361
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• 2013

This study tries to develop the so-called LCSI (Library Customer Satisfaction Index) Lite for public library which can be used easily in the fields as a simplified model. Its conceptual model is developed from the former research about library service quality and customer satisfaction. Based on the analyses on the twenty Delphi-type AHP questionnaires both from the library researchers and from the public library practitioners, and on the analysis and testing of the structural equation model using the data from the more than 800 user questionnaires, it suggests a model which consists of total 15 items - namely 8 items for service quality (2 for personnel, 4 for library resources and services, 2 for facilities and environment), 3 items for customer satisfaction, and 2 items for loyalty. Library Satisfaction Index for public library will be calculated by the sum total of service quality (50%), customer satisfaction (40%), and loyalty (10%).

• International Journal of Highway Engineering
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• v.11 no.3
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• pp.61-74
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• 2009

Traffic accident risk index Computation model's development apply traffic level of significance about area of road user group, road and street network area, population group etc.. through numerical formula or model by countermeasure to reduce the occurrence rate of traffic accidents. Is real condition that is taking advantage of risk by tangent section through estimation model and by method to choose improvement way to intersection from outside the country, and is utilizing being applied in part business in domestic. However, question is brought in the accuracy being utilizing changing some to take external model in domestic real condition than individual development of model. Therefore, selection intersection estimation element through traffic accidents occurrence present condition, geometry structure, control way, traffic volume, turning traffic volume etc. in 96 intersections in this research, and select final variable through correlation analysis of abstracted estimation elements. Developed intersection design model taking advantage of signal type, numeric of lane, intersection type, analysis of variance techniques through ANOVA analysis of three variables of intersection form with selected variable lastly, in signal crossing through three class intersection, distinction variable choice risk in model, no-signal crossing risk distinction analysis model and so on develop.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.20 no.4
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• pp.191-204
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• 2009

It is essential to estimate and evaluate for user satisfaction and quality management of database system, understanding of user needs and quality characteristics. Based on ISO 25000 series, it was suggested, the first research, that 5 main quality characteristics, 21 sub quality characteristics and 48 internal quality characteristics. There are comparative significance methods of main quality characteristics, sub quality characteristics and internal quality characteristics but it is not easy to use directly quality model in database system industry field. Also, Considering time and cost in quality evaluation, it is impossible to evaluate 48 internal quality characteristics and its level of quality evaluation is not equal in accordance with integrity level of database system. By using AHP, this study presents selection method of quality characteristics in weight and possibility of application quality model.