• Journal of the Korea Fashion and Costume Design Association
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• 제18권2호
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• pp.145-159
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• 2016

This study developed the learning criteria for Science, Technology, Engineering, Arts & Mathematics to establish the theoretical background of the education pursued by STEAM. The learning criteria was developed on a basis of 6 kinds of Technology Home Economics textbooks by 2009 Amended Curriculum, and the factors of STEAM were extracted according to related contents. From the results of this study, the unit 'Dress and Self-expression' assimilated T.E.A.M with learning related to clothing psychology, consumer behavior, fashion design, and Korean fashion. The unit 'eco-friendly clothing and fixing clothes' was found to assimilate S.T.E.A.M. with learning related to clothes science and dress structure. Accordingly we can understand this unit also consists of the S. T. E. A. M assimilation such as clothes science, fashion marketing, dress structure, dress aesthetics, design and so on. Both units 'dress and self-expression' and 'eco-friendly clothing and fixing clothes' were found to consist of suggesting situations, creative planning and emotional experience following the learning criteria of STEAM. Therefore, these units will be the basic material for developing STEAM programs centering upon 'Home Economics' among the curriculum.

• The Journal of Asian Finance, Economics and Business
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• 제7권8호
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• pp.519-531
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• 2020

This research aims to identify the determinants of e-government satisfaction in Hanoi, Vietnam, and assess their impact. To collect data, we conducted an online questionnaire with citizens living in Hanoi in a time span of five weeks. We received 1,107 responses, divided into three groups: unaware, known, but not used, and used e-government. After leveraging past studies on satisfaction in different contexts, we arrived at six external variables that are of particular relevance to e-government satisfaction (i.e., efficiency, trust, reliability, convenience, citizen support, and transparency) as well as four control variables (i.e., age, gender, education level, and Internet frequency). We then applied both SPSS 22 and STATA 2016 to process and analyze the collected data and found that, while almost all external variables are statistically significant, all four control variables are not. Apart from convenience and trust, four factors - efficiency, reliability, citizens support, transparency - are important measures of system quality, information quality, service quality and relative benefits of e-government, which in turn positively and significantly impact citizens' satisfaction with the online public services. Furthermore, the efficiency variable has the most influence on customer satisfaction, and the level of impact on the dependent variable decreases in the following order: citizen support, reliability and transparency.

• The Journal of Asian Finance, Economics and Business
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• 제8권1호
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• pp.927-938
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• 2021

Small and Medium Enterprises (SMEs) is one of several activators that drives the economy of Indonesia because SMEs provide jobs, increase Gross Domestic Product (GDP), and assure the delivery of products and services. However, Indonesian SMEs are not very competitive in the industrial world, and one of the causes is the low quality of products that undermine customer satisfaction. There are several factors presumed as influencing customer satisfaction, which among others include product knowledge, service quality, and competitive advantage. The objective of this research is to reveal the contribution of product knowledge and service quality to customer satisfaction with competitive advantage as the mediation variable. This research used a quantitative approach. The causal relationship across variables was examined with Structural Equation Modeling-Partial Least Squares (SEM-PLS). The sample of this research involved 140 respondents. Data was collected through a questionnaire and the items in the questionnaire were processed with a software called SmartPLS version 3.3.2. Results of this research indicate (1) product knowledge and service quality can increase competitive advantage and customer satisfaction in East Java SMEs; (2) competitive advantage can act as a mediator in the effect of service quality on customer satisfaction (3) product knowledge can increase customer satisfaction but the increase is not significant statistically.

• Bulletin of the Korean Mathematical Society
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• 제53권1호
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• pp.139-151
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• 2016

A k-total-coloring of a graph G is a coloring of $V{\cup}E$ using k colors such that no two adjacent or incident elements receive the same color. The total chromatic number ${\chi}^{{\prime}{\prime}}(G)$ of G is the smallest integer k such that G has a k-total-coloring. Let G be a planar graph with maximum degree ${\Delta}$. In this paper, it's proved that if ${\Delta}{\geq}7$ and G does not contain adjacent 5-cycles, then the total chromatic number ${\chi}^{{\prime}{\prime}}(G)$ is ${\Delta}+1$.

• East Asian Journal of Business Economics (EAJBE)
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• 제5권1호
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• pp.33-49
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• 2017

This article can see the analysis of the monetary market of Russia at the present stage, its main segments. An assessment is given to the regulation of mechanism by liquidity, the transactions of the Bank of Russia on the provision of liquidity and on absorption of liquidity, the transaction of fixed action and the transaction in the public market are analyzed. To determine the tendency of development of the monetary market and its segments. In the work using the methods of multivariate statistics, the tools of financial mathematics. To be analyzed the amount of data from the 2015 -2016 year, the 2013 year. (daily data). Hypothesis 1. The dynamics of the money market of Russia at the present stage of development of domestic economy is rather stable. Hypothesis 2.The many transactions of regulation to decrease the liquidity of by monetary movement, the control function. Also in the article consider the contour of the financial transaction. This article reveals the theoretical bases of analysis of profitability of credit operations.

• Honam Mathematical Journal
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• 제35권2호
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• pp.225-234
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• 2013

Many studies of experimental economics have produced outcomes which contradict the predictions of Nash equilibrium, which relies heavily upon the premise of selfishness of an individual. In the games involving contexts of social conflicts represented by the prisoners' dilemma game, the experiments yields outcomes quite different from what are predicted by the conventional wisdom. In order to fill this gap between the conventional Nash Equilibrium and experimental outcomes, non-selfish (or other-regarding) motives of human behavior are introduced and then a new equilibrium concept, RAE-equilibrium is developed. It is also proved that an RAE-equilibrium exists under quite general conditions. Then it is applied to the prisoners' dilemma game that some of the experimental outcomes can be explained.

• Journal of applied mathematics & informatics
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• 제27권5_6호
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• pp.1073-1086
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• 2009

This paper considers the problems of martingale measures and risk-minimizing hedging strategies in the market with restricted information. By constructing a general restricted information market model, the explicit relation of arbitrage and the minimal martingale measure between two different information markets are discussed. Also a link among all equivalent martingale measures under restricted information market is given. As an example of restricted information markets, this paper constitutes a jump-diffusion process model and presents a risk minimizing problem under different information. Through $It\hat{o}$ formula and projection results in Schweizer[13], the explicit optimal strategy for different market information are given.

• Communications for Statistical Applications and Methods
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• 제30권6호
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• pp.605-629
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• 2023

This paper proposes some diagnostics procedures for the skew-t linear regression model with censored response. The skew-t distribution is an attractive family of asymmetrical heavy-tailed densities that includes the normal, skew-normal and student's-t distributions as special cases. Inspired by the power and wide applicability of the EM-type algorithm, local and global influence analysis, based on the conditional expectation of the complete-data log-likelihood function are developed, following Zhu and Lee's approach. For the local influence analysis, four specific perturbation schemes are discussed. Two real data sets, from education and economics, which are right and left censoring, respectively, are analyzed in order to illustrate the usefulness of the proposed methodology.

• Journal of applied mathematics & informatics
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• 제26권1_2호
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• pp.337-347
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• 2008

Based on social welfare maximum theory, the optimal scale of power plants entering generation power market being is researched. A static non-cooperative game model for short-term optimization of power plants with different cost is presented. And the equilibrium solutions and the total social welfare are obtained. According to principle of maximum social welfare selection, the optimization model is solved, optimal number of power plants entering the market is determined. The optimization results can not only increase the customer surplus and improve power production efficiency, but also sustain normal profits of power plants and scale economy of power production, and the waste of resource can also be avoided. At last, case results show that the proposed model is efficient.

• The Pure and Applied Mathematics
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• 제19권1호
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• pp.7-21
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• 2012

The fuzzy time series is introduced by Song and Chissom([8]) to construct a pattern for time series with vague or linguistic value. Many methods using the interval and fuzzy logical relationship related with historical data have been suggested to enhance the forecasting accuracy. But they do not fully reflect the fluctuation of historical data. Therefore, we propose the interval rearranged method to reflect the fluctuation of historical data and to improve the forecasting accuracy of fuzzy time series. Using the well-known enrollment, the proposed method is discussed and the forecasting accuracy is evaluated. Empirical studies show that the proposed method in forecasting accuracy is superior to existing methods and it fully reflects the fluctuation of historical data.