• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.4
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• pp.191-203
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• 2016

This purpose of this study is to academically define what "luxury products" mean, and to clarify the cognitive structural relationship between corporate attributes and "luxuriousness" in relation to the determinant of luxuriousness that eventually affects the purchase intention of consumers. This study is also written under the theory that luxuriousness leads to benefits such as functional benefit, experiential benefit, symbolic benefit, and exclusive benefit; which all provide core values to consumers and serve as effect factors that influence the psychological satisfaction of consumers. The commonly discussed measure of the determinant of luxuriousness has often failed to adequately describe the reasons to why the consumers prefer luxury products. This study also aims to suggest a new path in how and what the consumers perceive as luxury products, and to conceptualize what luxuriousness means in the marketing perspectives on the background of a previous theory. The part of corporate attributes are divided in the following sections: corporate ability(CA) and corporate reputation(CR). The part of the determinant of luxuriousness is divided in sections of superiority, scarcity, differentiation, and traditionality. Therefore, this study used the theoretical concept used in such common measures as well as 282 examples to empirically analyze the relationship between corporate attributes and luxuriousness of luxury products, and how such affect the purchase intentions of consumers. The survey used to aid this study targeted luxury product consumers regarding "B" brand of automobiles. Using the analysis through a structural equation model, the study draws a conclusion that in a relationship between corporate attributes and luxuriousness, corporate ability(CA) of corporate attributes affects the facts of differentiation and traditionality in a significant way, and corporate reputation(CR) of corporate attributes affects the factors of superiority and scarcity in a significant way. Additionally, the superiority and scarcity of luxuriousness positive significantly affects purchase intention, and differentiation and traditionality of luxuriousness affects purchase intention in a negative significant way. The structural concept of luxury and luxuriousness suggested in the study will provide the theoretical basis for building a new case study, and the determinants of luxuriousness in the marketing perspective will be a practical help for checking the consumers' psychological reasons for purchase.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.4
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• pp.95-111
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• 2015

This purpose of this study is to academically define what "luxury products" mean, and to clarify the cognitive structural relationship between product attributes and "luxuriousness" in relation to the determinant of luxuriousness that eventually affects the purchase intention of consumers. This study is also written under the theory that luxuriousness leads to benefits such as functional benefit, experiential benefit, symbolic benefit, and exclusive benefit; which all provide core values to consumers and serve as effect factors that influence the psychological satisfaction of consumers. The commonly discussed measure of the determinant of luxuriousness has often failed to adequately describe the reasons to why the consumers prefer luxury products. This study also aims to suggest a new path in how and what the consumers perceive as luxury products, and to conceptualize what luxuriousness means in the marketing perspectives on the background of a previous theory. The part of product attributes are divided in the following sections: the quality and design of functional cues and brands of symbolic cues, as well as prices. The part of the determinant of luxuriousness is divided in sections of superiority, scarcity, differentiation, and traditionality. Therefore, this study used the theoretical concept used in such common measures as well as 282 examples to empirically analyze the relationship between product attributes and luxuriousness of luxury products, and how such affect the purchase intentions of consumers. The survey used to aid this study targeted luxury product consumers regarding "B" brand of automobiles. Using the analysis through a structural equation model, the study draws a conclusion that in a relationship between product attributes and luxuriousness, quality(which is one of the functional cues) affects the facts of superiority, differentiation in a significant way, and design affects the factors of scarcity in a significant way. And brand(one of the symbolic cues) significantly affects the factors of traditionality within the luxuriousness factors, and price appeared to affect superiority and scarcity. Additionally, the brand of product attributes significantly affects purchase intention, and superiority and scarcity of luxuriousness affects purchase intention in a significant way. The structural concept of luxury and luxuriousness suggested in the study will provide the theoretical basis for building a new case study, and the determinants of luxuriousness in the marketing perspective will be a practical help for checking the consumers' psychological reasons for purchase.

• Korean Journal of Cognitive Science
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• v.28 no.4
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• pp.299-314
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• 2017

Predicting compound-protein interactions in-silico is significant for the drug discovery. In this paper, we propose an scalable machine learning model to predict compound-protein interaction. The key idea of this scalable machine learning model is the architecture of pairwise neural network model and feature embedding method from the raw data, especially for protein. This method automatically extracts the features without additional knowledge of compound and protein. Also, the pairwise architecture elevate the expressiveness and compact dimension of feature by preventing biased learning from occurring due to the dimension and type of features. Through the 5-fold cross validation results on large scale database show that pairwise neural network improves the performance of predicting compound-protein interaction compared to previous prediction models.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.4
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• pp.113-131
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• 2015

Decision effectiveness depends on type of knowledge within team members generated by decision making process. Thus, organization in accordance with teams' experience and capability ultimately achieve their desired outcome. However, previous research has not addressed a mediating role between different knowledge type in decision making and product competitive advantages(pioneering advantage and product quality superiority). Based on the knowledge-based view, we model how different knowledge characteristics in decision making affect to acquire each of knowledge in decision making effectively and then to apply acquired knowledge in decision making. Anchored in a source-position-performance (SPP) framework (Day and Wensley's, 1988), we shed light on the effects of three knowledge characteristics dimensions in decision making process on knowledge management competences in decision making for a new product project. We also examine the relationship between two dimensions of NPD knowledge management competences, and product competitive advantages which consist of market pioneering advantage and product quality superiority. To test the relationships, the empirical analyses are conducted using a sample of team managers who participated in NPD projects. This study suggest that managers should increase their acquirability and applicability of knowledge by integrating complexity of diverse and new knowledge, developing codifiability of well-documented knowledge, and creating the sharing common knowledge among NPD team members. Thus, they are able to outrun major competitors in terms of pioneering advantage and product quality superiority perspective.

• Communications for Statistical Applications and Methods
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• v.15 no.2
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• pp.283-292
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• 2008

Smoothing parameter or bandwidth plays a key role in nonparametric classification based on kernel density estimation. We consider choosing smoothing parameter in nonparametric classification, which optimize the Bayes risk. Hall and Kang (2005) clarified the theoretical properties of smoothing parameter in terms of minimizing Bayes risk and derived the optimal order of it. Bootstrap method was used in their exploring numerical properties. We compare cross-validation and bootstrap method numerically in terms of optimal order of bandwidth. Effects on misclassification rate are also examined. We confirm that bootstrap method is superior to cross-validation in both cases.

• The Korean Journal of Financial Studies
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• v.8 no.1
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• pp.231-252
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• 2002

2000년 7월부터 채권시가평가의 실행으로 채권운용자들도 채권포트폴리오의 위험을 채권선물을 이용하여 통제하거나 감소시키기 위해 헤지를 하여야 한다. 이때 헤지비율을 추정하는 방법으로는 전통적 회귀분석모형, 백터오차수정모형(Vector Error Correction Model : VECM)과 VAR모형(Vector AutoRegressive Model)이 있다. 전통적인 회귀분석모형에 의하여 추정된 헤지비율은 시계열자료의 불안정성(nonstationary) 등으로 인하여 잘못 추정될 가능성이 있어 면밀한 검토와 분석 후 사용하여야 한다. 시계열자료의 불안정성으로 말미암아 야기되는 문제점들을 개선할 수 있는 모형으로서 VECM과 VAR모형이 널리 이용되고 있다. 따라서 본 연구는 VECM과 VAR모형을 사용하여 추정된 헤지비율과 전통적 회귀분석모형을 사용하여 추정한 헤지비율을 비교하여 어떤 모형으로 추정한 헤지비율이 더 정확한지를 평가하는데 목적을 두고 있다. 즉, 본 연구는 KTB 현 선물의 헤징에 대한 연구로 2000년 1월 4일부터 2001년 7월 27일까지 385일간의 KTB 현 선물 자료와 불룸버그 국채지수를 대상으로 VECM 및 VAR모형과 전통적 회귀분석모형에 의한 헤지비율을 추정하고 각 모형의 설명력과 예측력을 비교하고자 한다. 이 연구의 실증분석 결과, KTB 현물가격과 KTB 선물가격간, 블룸버그 국채지수와 KTB 선물가격간에는 공적분 관계가 존재하며, VECM 및 VAR와 전통적 회귀분석모형을 이용하여 추정한 최적헤지비율의 크기는 대동소이(大同小異)하며, 전통적 회귀분석방법을 이용하는 것이 VECM과 VAR모형을 이용할 때 보다 설명력과 예측력이 우월한 것으로 나타났다.

• Journal of Korea Society of Industrial Information Systems
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• v.6 no.3
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• pp.65-70
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• 2001

This Paper Propose the control chart Pattern to provide a more comprehensive scheme for detecting process shifts using individual observations in start-up process. In this paper, which uses the backpropagation algorithm two samples are fed into the trained neural network to provide outputs ranging from 0 to 1. The main advantage of using neural networks approach with a control chart is that the neural network has almost no delay in detecting small shift. This paper illustrates how neural networks can provide a useful method for optimizing parameter(connection weights) that affect process control. Simulation results show that the performance of the proposed control chart using the neural network (NNCC) is quite promising.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.18 no.3
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• pp.241-250
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• 2006

In the present study, a beach survey such as sand sizes, swim zone widths, and slopes of swash zone has been accomplished for 39 beaches along the Gangwon coastline. The data analysis presents that the swim zone width has a strong correlation with the sand size, showing that the swim zone width is reversely proportional to the 1.1 power of a grain size. The profile factor A has been analyzed using the beach profile form of $h=Ay^{2/3}$, where A was resulted to be proportional to the 0.77 power of a gram size.

• Environmental and Resource Economics Review
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• v.16 no.4
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• pp.855-872
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• 2007

This study suggests an imported coal procurement model that simultaneously considers the risk factors of coal price, ocean freight rate and foreign exchange rate. In addition, it quantitatively analyses the superiority of this model compared to the previous one m terms of procurement cost saving and stabilization. According to the empirical results, a separate hedging could stabilize the procurement cost flow, but this is not the end of story. That is, a complex hedging would reduce the standard deviations of cost flow. Thus, one could improve hedging effects by fully considering the inherent variance-covariance relationship among coal price, ocean freight rate and foreign exchange.

• The Journal of the Korea Contents Association
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• v.14 no.12
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• pp.674-682
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• 2014

The personality in Marx's philosophy can be defined as an 'activity on the basis of social relations'. This concept suggests two significant implications to the difference of sexual identity between the sexes. First, according to Marx's philosophy the personality is partially influenced by the ideology. Freud's theory of Oedipus is founded on the patriarchal culture including the ideology. Freud's concept of personality ignores that aspect. That's why Freud's theory of Oedipus complex can be criticized. This is because of his ignorance of the affecting power of male chauvinism in patriarchal society. Second, more importantly and definitely, the difference of activity, especially labor, that is, male's social labor and female's private labor, has influenced the difference of the personality of both sexes.