• Asia Marketing Journal
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• v.11 no.2
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• pp.149-172
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• 2009

Prior research has investigated different effects of brand performance information such as premium price information and market share information on brand equity components - quality perception and brand preference. It was shown that the differential effects of brand performance information could depend on product-related variables like product category concept and quality variation in the product category. In this study, we conducted an experiment to find out how personal characteristics such as self-construal, price perception and brand commitment could influence the effects of different types of brand performance information. The results show that individuals who have independent self-construal, favorable price perception and emotional commitment with the brand develop more favorable evaluation of the premium price performance information resulting in more positive evaluations of the brand. However, individuals who have interdependent self-construal, unfavorable price perception and cognitive commitment with the brand develop more favorable evaluation of the market share performance information resulting in more positive evaluations of the brand. We discuss the theoretical and practical implications of this study and its limitations, along with future research interests.

• Journal of the Korea Fashion and Costume Design Association
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• v.18 no.3
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• pp.85-98
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• 2016

The purpose of this study was to investigate the adolescents' images and preference on cultural products based on Baekje traditional culture focused on adolescents. The subjects were 421 adolescents in Daejeon and Chungnam province. The measuring instruments was stimuli of cultural products and a questionnaire with semantic differential scales of image of cultural products, preference, product evaluation criteria, and subjects' demographics characteristics. The data were analyzed by Cronbach's ${\alpha}$, factor analysis, t-test, ANOVA, Duncan's multiple range test, and regression analysis using SPSS program. The results were as follows. First, 3 factors(attractiveness, interest, gentleness) were emerged on images of cultural products based on Baekje tradition culture, however, the current products could not convey affectively the attractive and gentle image of baekje traditional culture. Second, the preference of the Baekje cultural products was evaluated low, and especially design and price was rated low in the evaluation criteria. Third, preference was related with the 3 image factors, and attractiveness factor was showed highly positive effects on preference of cultural products. The implication of this study was to provide the useful cultural product development plan for adolescents, and the research results suggested that modern and individual design, unique traditional pattern, resonable price, and practicality have to be considered to develop successful cultural products for adolescents.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• v.19 no.1
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• pp.1-21
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• 2015

This paper presents two algorithms based on the Jamshidian equation which is from the Black-Scholes partial differential equation. The first algorithm is for American call options and the second one is for American put options. They compute numerically free boundary and then option price, iteratively, because the free boundary and the option price are coupled implicitly. By the upwind finite-difference scheme, we discretize the Jamshidian equation with respect to asset variable s and set up a linear system whose solution is an approximation to the option value. Using the property that the coefficient matrix of this linear system is an M-matrix, we prove several theorems in order to formulate a bisection method, which generates a sequence of intervals converging to the fixed interval containing the free boundary value with error bound h. These algorithms have the accuracy of O(k + h), where k and h are step sizes of variables t and s, respectively. We prove that they are unconditionally stable. We applied our algorithms for a series of numerical experiments and compared them with other algorithms. Our algorithms are efficient and applicable to options with such constraints as r > d, $r{\leq}d$, long-time or short-time maturity T.

• Journal of Distribution Science
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• v.22 no.8
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• pp.87-98
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• 2024

Purpose: This study aimed to examine the influence of private label cues, including store image, product design, price promotion, and origin image, on consumers repurchase intention by mediating consumption value from a distribution perspective. Additionally, it explored nationality's moderating role in the relationship between consumption value and repurchase intention. Research design, data and methodology: Drawing on the SOR model, data were collected from 246 consumers who had purchased private-label products in the past month. Structural equation modeling analysis was employed to test hypotheses using AMOS and SPSS. Results: Findings revealed that cues significantly impact consumers' perception of consumption value, influencing repurchase intention. Price promotion directly affected repurchase intention, while other cues indirectly influenced it through consumption value mediation. Nationality moderated the relationship between consumption value and repurchase intention, with Korean consumers showing a higher propensity to repurchase than Chinese consumers. Conclusions: Theoretical implications of the study contributed to understanding consumer behavior by confirming the impact of private label cues, elucidating their differential effects on repurchase intention, and integrating theoretical frameworks. Managerial implications underscored the significance of leveraging cues to enhance consumption value perceptions, tailoring marketing strategies to accommodate cultural nuances, and utilizing cues to bolster consumer repurchase intentions, ultimately enhancing distribution channel effectiveness.

• Proceedings of the KSME Conference
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• 2001.06c
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• pp.537-542
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• 2001

In recent engineering, the designer has become more and more dependent on computer simulation. But defining exact model using computer simulation is too expensive and time consuming in the complicate systems. Thus, designers often use approximation models, which express the relation between design variables and response variables. These models are called metamodel. In this paper, we introduce one of the metamodel, named Kriging. This model employs an interpolation scheme and is developed in the fields of spatial statistics and geostatistics. This class of interpolating model has flexibility to model response data with multiple local extreme. By reason of this multi modality, we can't use any gradient-based optimization algorithm to find global extreme value of this model. Thus we have to introduce global optimization algorithm. To do this, we introduce DE(Differential Evolution). DE algorithm is developed by Ken Price and Rainer Storn, and it has recently proven to be an efficient method for optimizing real-valued multi-modal objective functions. This algorithm is similar to GA(Genetic Algorithm) in populating points, crossing over, and mutating. But it introduces vector concept in populating process. So it is very simple and easy to use. Finally, we show how we determine Kriging metamodel and find global extreme value through two mathematical examples.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.8 no.3
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• pp.702-707
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• 2004

This article is concerned with container pose estimation using CCD a camera and a range sensor. In particular, the issues of characteristic point extraction and image noise reduction are described. The Euler-Lagrange equation for gaussian and random noise reduction is introduced. The alternating direction implicit(ADI) method for solving Euler-Lagrange equation based on partial differential equation(PDE) is applied. The vertex points as characteristic points of a container and a spreader are founded using k order curvature calculation algorithm since the golden and the bisection section algorithm can't solve the local minimum and maximum problems. The proposed algorithm in image preprocess is effective in image denoise. Furthermore, this proposed system using a camera and a range sensor is very low price since the previous system can be used without reconstruction.

• The Transactions of the Korean Institute of Power Electronics
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• v.27 no.1
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• pp.1-8
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• 2022

Recently, photovoltaic (PV) systems have been gradually applied in eco-friendly vehicle applications to improve fuel economy. The relevant market is expected to continue to grow because the installation of large-capacity PV systems to other eco-friendly vehicles, such as electric buses and trains, is being considered. However, in a PV system, power imbalance between submodules and low power generation efficiency occur due to factors such as cell aging, contamination, and shading. To resolve this problem, various differential power processing (DPP) converters have been researched and developed. However, conventional DPP converters suffer from large volume and low efficiency. Therefore, to apply DPP converters to eco-friendly vehicles, increasing efficiency and reducing volume and price compared with existing DPP converters is necessary. In this paper, a novel DPP converter with an integrated transformer is proposed and analyzed. The proposed DPP converter uses a single magnetic component by integrating transformers and secondary sides of conventional DPP converters. Therefore, the proposed DPP converter shows high power density and high efficiency, and it is suitable for PV systems in eco-friendly vehicle applications.

• Archives of design research
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• v.16 no.3
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• pp.421-430
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• 2003

During the past years private brand sales in supermarkets grew more rapidly then manufacturer brands. Store brand products account for more than one-fifth of total volume sales in the United States and are outpacing national brand growth. The most compelling reason for this increased presence in the market is their price differential with national brands. A general tendency of store brand sales in Korea also is on the increase over the years. On the other hand there is something yet to learn in the field of private label. The research has resulted in consumers changing their perception of store brand products from one of low quality to one of premium quality. Reduced price is not the only answer for store brand to be survive. The new marketing approach should include better packaging improved quality and specific advertising and promotional programs designed to increase customer awareness and sales of store brand products.

• Asia-Pacific Journal of Business
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• v.11 no.2
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• pp.159-172
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• 2020

Purpose - The purpose of this study is to investigate economic variables which have impact on the prices and returns of preferred stocks and to provide investors, underwriters, and policy makers with information regarding correlations and causal relations between them. Design/methodology/approach - This study collected 98 monthly data from Korea Exchange and Bank of Korea. The Granger causal relation analysis, unit-root test and the multiple regression analysis were hired in order to analyze the data. Findings - First, our study derives the economic variables affecting the prices and returns of preferred stocks and their implications, while previous studies focused mainly on the differential characteristics and related economic factors between common and preferred stocks. Empirical results show that the significant variables influencing the prices and returns of preffered stocks are consumer sentiment index, consumer price index, industrial production index, KOSPI volatility index, and exchange rate between Korean won and US dollar. Second, consumer sentiment index, consumer price index, and industrial production index have significant casual relations with the returns of preferred stocks, providing market participants with important information regarding investment in preferred stocks. Research implications or Originality - This study is different from previous studies in that preferred stocks themselves are investigated rather than the gap between common stocks and preferred stocks. In addition, we derive the major macro variables affecting the prices and returns of preferred stocks and find some useful causal relations between the macro variables and returns of preferred stocks. These findings give important implications to market participants, including stock investors, underwriters, and policy makers.

• Journal of the Korean Regional Science Association
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• v.38 no.4
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• pp.31-44
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• 2022

This study was conducted with the aim of confirming the relevance and effect of the characteristics of the cities and cities in the neighborhood area, focusing on the sale price per square meter of apartment. Specifically, it was intended to determine whether cities in the relevant city and neighborhood area have differential characteristics between the metropolitan area and the non-metropolitan area, whether industrial characteristics, urban planning and development project characteristics, and location characteristics. Comparing the research results of the city and metropolitan area, it was found that there was a correlation in all areas of population characteristics. Industrial and urban planning projects and development project characteristics sectors are not significant in the city, but they appear significant when analyzed in the urban area of the year. When classifying and analyzing the metropolitan area and the non-metropolitan area, both the metropolitan area and the non-metropolitan area were significant in the population sector, and only the distance from Gangnam-gu was significant in the local sector. Since the population is concentrated in the Seoul metropolitan area now, the sale price per square meter of apartments is also concentrated in the Seoul metropolitan area, which is believed to result in such a result. This is judged to be an analysis that appears because the characteristics of the developable status of the metropolitan area and the non-metropolitan area are different. Accordingly, this study shows that the characteristics of neighboring areas as well as the city should be analyzed when analyzing the factors affecting the sale price per square meter of apartment, and suggests that housing market monitoring needs to be carried out together.