• Journal of Global Scholars of Marketing Science
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• v.18 no.1
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• pp.141-156
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• 2008

Market structure analysis is a very useful tool to analyze the competition boundary of the brand or the company. But most of the studies in market structure analysis, the concern lies in nondurable goods such as candies, soft drink and etc. because of the their availability of the data. In the field of durable goods, the limitation of the data availability and the repurchase time period constrain the study. In the analysis of the automobile market, those of views might be more persuasive. The purpose of this study is to analyze the structure of automobile market based on some idea suggested by prior studies. Usually the buyers of the automobile tend to buy upper tier when they buy in the next time. That kind of behavior make it impossible to analyze the structure of automobile market under the level of automobile model. For that reason I tried to analyze the market structure in the brand or company level. In this study, consideration data was used for market structure analysis. The reasons why we used the consideration data are summarized as following. Firstly, as the repurchase time cycle is too long, brand switching data which is used for the market analysis of nondurable good is not avaliable. Secondly, as we mentioned, the buyers of the automobile tend to buy upper tier when they buy in the next time. We used survey data collected in the U.S.A. market in the year of 2005 through questionaire. The sample size was 8,291. The number of brand analyzed in this study was 9 among 37 which was being sold in U.S.A. market. Their market share was around 50%. The brands considered were BMW, Chevrolet, Chrysler, Dodge, Ford, Honda, Mercedes, and Toyota. �� ratio was derived from frequency of the consideration set. Actually the frequency is different from the brand switch concept. In this study to compute the �� ratio, the frequency of the consideration set was used like a frequency of brand switch for convenience. The study can be divided into 2 steps. The first step is to build hypothetical market structures. The second step is to choose the best structure based on the hypothetical market structures, Usually logit analysis is used for the choice best structure. In this study we built 3 hypothetical market structure. They are type-cost, cost-type, and unstructured. We classified the automobile into 5 types, sedan, SUV(Sport Utility Vehicle), Pickup, Mini Van, and Full-size Van. As for purchasing cost, we classified it 2 groups based on the median value. The median value was $28,800. To decide best structure among them, maximum likelihood test was used. Resulting from market structure analysis, we find that the automobile market of USA is hierarchically structured in the form of 'automobile type - purchasing cost'. That is, result showed that automobile buyers considered function or usage first and purchasing cost next. This study has some limitations in the analysis level and variable selection. First, in this study only type of the automobile and purchasing cost were as attributes considered for purchase. Considering other attributes is very needful. Because of the attributes considered, only 3 hypothetical structure could be analyzed. Second, due to the data, brand level analysis was tried. But model level analysis would be better because automobile buyers consider model not brand. To conduct model level study more cases should be obtained. That is for acquiring the better practical meaning, brand level analysis should be conducted when we consider the actual competition which occurred in the real market. Third, the variable selection for building nested logit model was very limited to some avaliable data. In spite of those limitations, the importance of this study lies in the trial of market structure analysis of durable good.

• Journal of Agricultural Extension & Community Development
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• v.23 no.2
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• pp.135-144
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• 2016

This paper estimated how demographic characteristics, food selection preferences, daily physical activities, and food purchasing patterns of consumers affect the consumer choice to buy coffee and tea by analyzing the Consumer Panel data in 2014 using Multinomial logit model. The results are summarized as follows. First, factors such as age, income, employment status, and educational level were found to be statistically significant upon the impact analysis of consumers' demographic characteristics. Second, the study showed that the first group of consumers drinking less coffee and tea had the highest interest in health, followed by the third group drinking less coffee and more tea, the second group more coffee and less tea, and the fourth group more coffee and tea. In addition, it was also found that the fourth group's pattern to purchase more coffee and tea could be explained by consumers' food consumption patterns.

• Korean Journal of Human Ecology
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• v.12 no.3
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• pp.351-362
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• 2003

The goal of this study was to examine the effects of perceived risks toward GMO (Genetically Modified Organism) food on the decision-making to purchase it and demands to reveal its Identity. The major results were as follows. First, consumers strongly perceived the risk toward GMO food, and demanded labeling to identify it. But, many consumers had indecisive in the purchase of GMO food. Second, consumers with high level of perceived risks toward GMO food were more likely not to buy GMO food. In addition, the level of perceived risk was high among consumers who had many children. Finally, consumers with high level of perceived risks toward GMO food were more likely to demand the labelling for identifying GMO food. Consumers who had many children and high level of reliability for labelling food safety strongly demanded to label for revealing GMO food.

• Korean Journal of Human Ecology
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• v.16 no.4
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• pp.813-824
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• 2007

This study purposed to analyze the preference suit design of spring and summer for elderly women who become weak in physical, physiological and psychological aspects. Accordingly, a questionnaire survey was conducted to analyze clothes elderly women prefer and present design. As a result, the following conclusions were obtained : First, The style of outfit that elderly women preferred when they went out was a tailored collar jacket and a straight slacks suit. On the assumption that they buy a jacket, however, they preferred a peter pan collar jacket, while they did not like a tailored collar jacket. Second, They liked light and bright pink and yellow colors as color of clothes for spring season, but they preferred grey color most in buying suit actually. For autumn season, they preferred beige, brown or grey colors most. With regard to materials for suit, they liked wool solid fabrics with stretch. As for a blouse, they preferred a single color most. There were significant difference between preference suit design and Assumption of buying suit design.

• Journal of Information Technology Applications and Management
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• v.21 no.4_spc
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• pp.485-499
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• 2014

Sharing Economy is the modern main item with ICT Development. Of course sharing economic item is the old and long run mainstream, but by the ICT technological development sharing economy is the fostering and affluent factors in the world economic growth. Though, in Korea, till now sharing economy is minimal, that will growth sharply. We can track various business models of sharing economy. Sharing economy is to buy use right not ownership. With the sharing economic business model wee can make also financial sharing model. In finance model we can divide two kind models. First, we can trace small size lending model with p2p type. And second, we can make financial information transaction model. But till now sharing economic system is not activated, because of many reasons. To activate, first we have to set law and various standards, and also government actively support many sharing economy firms and institutions. To catch up developed countries in the field of sharing economy we have to make aggressive and flexible rules and standards.

• International Journal of Human Ecology
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• v.9 no.1
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• pp.41-51
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• 2008

A rapidly aging Korean population highlights the importance of investigating the actual state and needs of clothing for the elderly to provide basic information for a future senior industry. This paper surveyed clothing purchasing behaviors. The sample of this survey consisted of 210 females aged 55 over who live in Dajeoun and Nonsan. The data were analyzed by using SPSS. The major findings are as follows. First, most elderly women have bought the ready-made clothes in local markets. Second, the major consideration of clothing purchasing behavior was the possibility of outdoor wearing and color. They were satisfied with ready-made clothes because of the convenience to buy, design, and the necessity of the clothing brands for aged people. Third, they preferred pure cotton or mixed cotton even though they possessed the mixed cotton or synthetic fiber in clothing materials. Respondents preferred the feeling, heat-retaining property, and absorptiveness in textiles. The result indicates the demand for various material applications of functional textiles for elderly women.

• Journal of Korean Society for Quality Management
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• v.37 no.1
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• pp.40-55
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• 2009

This research is an empirical study to analyze the factors that affect users' acceptance & diffusion of online product message. Today many people use the product message/information on the internet, before they make decision to buy something in online/offline environment. This paper proposes the site design look, enjoyment, and usefulness as message perception factors. And we examine the relationship among the perception factors, message credibility, acceptance & diffusion. The purpose of this paper is threefold. First, we examine the relationship between as perception factors and the credibility assessment of the message by customers. Second, we will show the effect of message credibility on the message acceptance & diffusion. Third, we try to present some theoretical and empirical implication through the result of our studies.

• Korean Journal of Agricultural Science
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• v.40 no.4
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• pp.417-423
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• 2013

Recently, there is the huge interest to promote the export of Korean agro-food to Chinese market. However, small number of papers analyze the Chinese consumer to find the strategy for launching Korean agro-food in Chinese market. The purpose of this paper is to analyze Chinese consumer for Korean agro-food in Chine. Survey analysis was conducted in 4 big city (Beijing, Shanghai, Guangzhou, and Tsingtao) for this research. The results of studies present a few findings: First, many Chinese consumers prefer Korean agro-food. Second, among big cities, Beijing shows the highest level of preference for Korean agro-food, Third, Chinese consumers can pay higher price for Korean agro-food, Fourth, Chinese consumer usually buy small amount of agro-food. Fifth, the image of Korea is also important to promote the exportation of Korean agro-food to Chinese market.

• Journal of Family Resource Management and Policy Review
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• v.6 no.2
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• pp.15-29
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• 2002

The purpose of this study explores the meaning of shopping and shopping behavior of consumer under the perception of time pressure. In this study, qualitative methods such as participation observation, depth interview, focus group interview were used. The major findings are as follows : First, consumer under the perception of time pressure defined shopping is mainly' grocery purchasing'. Second, they go shopping on weekend, in familiar store and buy the same kind of goods. Like this, their shopping patterns appear fixed type. Third, this study ascertained proposed time management strategies applied to shopping. Finally, a place of residence, driving or not, house helper, children and standard of family influence on consumer's shopping behavior additionally.

• Journal of Family Resource Management and Policy Review
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• v.6 no.1
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• pp.167-187
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• 2002

The goal of this study was to examine differences between traditional and electronic commerce in criteria of the amount of consumer information and the level of consumer satisfaction. In addition this study examined factors influencing the amounts of information search of consumers and the level of consumer satisfaction between traditional and electronic commerce. The results of this study are as follows. First, consumers gathered more information about stores and price in electronic commerce, but more information about quality and after service in traditional commerce. Second, overall, rational consumers, and consumers buying electronic goods collected more information. Third, consumers were more satisfied with shopping in electronic commerce than in traditional commerce except for the satisfaction from price. However, comsumers' satisfaction was not differed what kind of goods consumers buy. Fourth, if consumers gathered lots of information, they tend to be more satisfied than otherwise. In addition, there were positive relationship between consumer’lower age, rational purchase behavior, and positive thinking of the electronic commerce.