• 한국의류학회지
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• 제33권11호
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• pp.1719-1732
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• 2009

A firm seeking to enter a foreign market must make an important strategic decision of which market entry mode to use. Because entry modes involve resource commitments, the initial choice by a firm on a particular entry mode is difficult to change without a considerable loss of time and money. Substantial prior research has been undertaken to explain why firms select a particular entry mode into global markets. However, there exists limited research on this area in the field of foreign apparel brands in Korea, although some research has analyzed influential entry mode factors when Korean textile and clothing companies went overseas. This study reviews prior research on the entry mode choice and analyzes the factors that influence the entry mode choice for 510 foreign clothing brands in Korea. Price range, clothing types, distribution strategy, and cultural distance were considered as influential determinants for different entry mode choices. Crosstabs with a chi-square test and logistic regression are used for analysis. This study shows that high-priced brands and luxury brands are associated with the export orientated entry mode in the Korean market. Brands that pursued the strategy of multiple distribution channels showed a preference for a licensing mode or direct investment over other entry modes, and brands from higher-cultural-distance countries entered the Korean clothing market by licensing mode. The findings of this study are appropriate for the strategic planning of foreign apparel intent on entering the Korean market or for Korean apparel firms planning to enter the global market.

• 대한수학회지
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• 제43권2호
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• pp.357-371
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• 2006

Let $X\;=\;(X_t,\;t{\in}[0, T])$ be a generalized Brownian motion(gBm) determined by mean function a(t) and variance function b(t). Let $L^2({\mu})$ denote the Hilbert space of square integrable functionals of $X\;=\;(X_t - a(t),\; t {in} [0, T])$. In this paper we consider a class of nonlinear functionals of X of the form F(. + a) with $F{in}L^2({\mu})$ and discuss their analysis. Firstly, it is shown that such functionals do not enjoy, in general, the square integrability and Malliavin differentiability. Secondly, we establish regularity conditions on F for which F(.+ a) is in $L^2({\mu})$ and has its Malliavin derivative. Finally we apply these results to compute the price and the hedging portfolio of a contingent claim in our financial market model based on a gBm X.

• 한국의류학회지
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• 제24권4호
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• pp.560-570
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• 2000

The purposes of this study were to segment the cosmeceuticals market based on consumer usage behavior and to develop a profile of each segment using appearance-related variables, purchase attributes, purchase behavior and demographics. A total of 518 responses collected from a questionnaire survey to female consumers was analyzed. Cluster analysis on usage behavior of cosmeceutical products identified three groups including: Anti-aging/Whitening/Slimming product users (22% ); Pore-control product users(20%); and Minimum users(57%). MANOVA, ANOVA and Chi-square analysis revealed significant differences among the three groups on 2 appearance-related variables, 3 purchase attribute factors, 4 purchase behaviors, and 2 demographic characteristics. Based on the results, the study developed a profile of each segment and provided marketing implications.

• 한국의류학회지
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• 제19권5호
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• pp.811-825
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• 1995

The purposes of the study were 1) to segment the female apparel market based on clothing benefits sought by female adualt consumer in Cheju, and 2) to develop a profile of each segment concerning lifestyle, use of information sources, perceived store attributes, store preference and demographics. The data(n=228) were collected via a questionnire from adult females of ages over 20's. Using cluster analysis on benefits sought factors, four groups were identified and labeled as 1) Economic-value oriented users of clothing(24%) : 2) Brand oriented users of clothing(14%); 3) Aesthetics/fashion oriented users of clothing(26%); 4) Easy care oriented users of clothing(36%). ANOVA and Chi-square statistics revealed significant differences among the four groups according to clothing benefits sought factors, lifestyle factors, use of information sources, store attributes perceived on store types, store-type choices, new store-type preferences and demographic variables. A profile of these groups was developed.

• 경영과학
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• 제33권3호
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• pp.105-117
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• 2016

In this paper, we present empirical testing result to examine the validity of inbound supply and outbound demand risk factors in the sense of early predicting the firm's bankruptcy risk level. The risk factors are drawn from industry uncertainty attributes categorized as uncertainties of input market (inbound supply), and product market (outbound demand). On the basis of input-output table, industry level inbound and outbound sectors are identified to formalize supply chain structures, relevant inbound and outbound uncertainty attributes and corresponding risk factors. Subsequently, publicly available macro-economic indicators are used to appropriately quantify these risk factors. Total 68 industry level bankruptcy risk forecasting results are presented with the average R-square scores of between 53.4% and 37.1% with varying time lag. The findings offers useful insights to incorporate supply chain risk to the body of firm's bankruptcy risk level prediction literature.

• 복식
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• 제25권
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• pp.201-213
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• 1995

The purposes of the study were (1) to seg-ment the female college apparel market based on fashion life style and (2) to develop a pro-file of each segment regard to self-concept, shopping orientation and patronage behavior. The data were collected through questionnaire by random sample of 526 female college students. By cluster analysis of lifestyle factors, three groups were identified, (fashion leaders, fashion followers and fashion aversion) Three groups were then compared through multivariate analysis of variance and chi-square statistics on 10 self-concept variables, 6 shopping statistics on 10 self-concept variables, 6 shopping orientation factors and 1 patronage behavior variable. Significant difference were found among the three groups on all these variables which indi-cate that fashion lifestyle can be a useful base for segmenting female apparel market and these groups are unique in terms of self-con-cept, shopping orientation and patronage behavior.

• 유통과학연구
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• 제11권9호
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• pp.5-15
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• 2013

Purpose - The research aim is to shed empirical light on whether quality-focused retailer brands such as Premium brand of Tesco Korea, Prime of Lotte Mart, and Best of E-Mart in the grocery market, make a contribution to developing store loyalty in the Korean market particularly. Research design, data, methodology - After developing sixconstructs, such as higher quality, stock availability, price levels, national brands, retailer brand attitudes, and store loyalty, the authors adopted exploratory factor analysis, confirmatory factor analysis, chi-square test and structural equation modelling as a research technique. Results - It was found that higher quality strongly influences the retailer brand attitude formation, and that retailer brand customers were sensitive to price levels. Buyers are, nevertheless, relatively less aware of price levels, when purchasing quality-oriented retailer brand types. Conclusions - The research implied that quality-oriented retailer brand types make a significant contribution to retailer brands attitude formation, and further, building store loyalty.

• 산업공학
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• 제14권2호
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• pp.190-197
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• 2001

Growth curves including Logistic and Gompertz functions are widely used in forecasting the market demand. To estimated the parameters of those functions, we use the non-linear least square method. However, it is difficult to set up the starting points for each parameter. If a wrong starting point is selected, the result reveals the local optimum or does not converge to a certain value. The purpose of this paper is to resolve the problem of selecting a starting point. Especially, rescaling the market data using the national economic index make it possible to figure out the range of parameters and to utilize the grid search method. Applications to some real data are also included.

• 한국의상디자인학회지
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• 제13권1호
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• pp.21-35
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• 2011

Thanks to the popularization of golf, the population of young golfers including female players has been continuously increasing and the market specialization of golf-wear has been gradually intensifying with a growing number of new import brands in the market. This study is aimed to provide a direction to strengthen and invigorate the competitiveness of domestic golf wear brands through research on the benefits pursued by, the purchase attitudes towards local and overseas brands and the purchasing behaviors of female customers who have emerged as the newest customer group in the golf-wear market. The subjects of the research were 409 female golfers and the statistical analyses used for the study were factor analysis, cluster analysis, ANOVA, Scheffe test, and chi-square test. The results showed that there were six factors sought for golf-wear benefits: figure compensation, brand orientation, comfort, youth/fashion, maturity/conformity, and individuality. Cluster analysis showed that there were three groups of golf-wear benefits sought. Overall, the three groups were different in regard to golf involvement and golf-wear preferences. Based upon the results mentioned above, this study summarizes the key features of each group and can provide applicable suggestions for conducting strategic marketing activities.

• The Journal of Asian Finance, Economics and Business
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• 제3권4호
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• pp.43-56
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• 2016

The research aims to help merchant acquiring institutions gain a better insight on what merchant establishments in the Singapore market perceive of the costs they incur due to credit card acceptance. The research attempts to study the Singapore market and establish if increased credit card usage does increase costs for the merchant establishments that accept credit cards, this will help to acquire institutions in Singapore have a better understanding of merchant perceptions and what drives or deters credit card acceptance in the Singapore market. The survey was based on an interview of merchant establishments and the views of the merchants and was not based on their financial data. As a first step, the variables used in the survey were tested for interdependence using Chi-square tests; subsequently data reduction using factor analysis was performed and finally linear regression to establish a relation between dependent and independent variables. Merchant establishment believe accepting credit cards and increasing volume is costlier compared to another form of payment, but have mixed awareness about interchange fee. It also indicated that interchange fee and cardholder benefits are independent of the merchant establishments. The study only broadly attempts to gauge merchants view if increased credit card usage has increased costs for them.