• International Commerce and Information Review
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• v.12 no.4
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• pp.345-362
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• 2010

It is necessary to develop new competitive products under the world economic downturn. The medical tourism industry a good example and it has grown rapidly for last couple of years. This paper aims to investigate socio-demographic proxies of inbound medical tourists in Korea. In particular, the medical tourist behaviors are modeled by considering the factors such as acquisition process of medical tourism information, service level of medical tourism industry and the choice attributes. The results of this study are summarized that: 1) Moot inbound medical tourists are over 40-years old with professional occupation accompanied with families; 2) The information resources are mainly acquired from travel agents and WOM(Word of Mouth) such as friends and relatives; 3) Current problems are lack of various promotion channels and the competitiveness of medical coots; 4) The inbound medical tourists are not homogeneous but vary in different segments. The study suggests that various marketing strategies should be implemented for target market segments to promote Korea as a medical tourism hub.

• Culinary science and hospitality research
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• v.9 no.3
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• pp.182-196
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• 2003

This study is about color-image of chilled noodle packages. The improvement of living standard has lead the development of food industry, which has changed consumer's way of thinking toward food products and made clear the preference for food which was obscure before. In the past, the the right of choice for the products were not given to consumers in the market. But today, the market initiatives have been transferred to consumers. They are allowed to purchase their favorite products as the markets provide them with diversified products. Consequently, the importance of package design has increased. Color-image of chilled noodle packages stimulates consumers to purchase the products by offering necessary information which is very important as it is supposed to provide consumers with a good impression about the products.

• Journal of the Korean Home Economics Association
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• v.48 no.2
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• pp.23-38
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• 2010

The objectives of this study were 1) to classify survey respondents according to vanity scales, and 2) to identify price attitude among the classified groups. The participants were 276 university students who were residents in Seoul. Data were analyzed by factor analysis, cluster analysis, and one-way ANOVA. The vanity scales consisted of four factors; physical concern, physical view, achievement concern and achievement view. Based on these four factors, the respondents were classified into three clusters(interested, vain, and self-confident) as an attached group name. There were significant differences in the dimensions of materialism, price attitude and store choice behavior among the clusters. Marketing implications are discussed.

• Asia Marketing Journal
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• v.22 no.2
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• pp.1-18
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• 2020

We estimate a choice-based aggregate demand model accounting for consumers' consideration sets, and study its implications on market structure. In contrast to past research, we model and estimate consumer demand using aggregate-level consumer browsing data in addition to aggregate-level choice data. The use of consumer browsing data allows us to study consumer demand in a realistic setting in which consumers choose from a subset of products. We calibrate the proposed model on both data sets, avoid biases in parameter estimates, and compute the price elasticity measures. As an empirical application, we estimate consumer demand in the camcorder category and study its implications on market structure. The proposed model predicts a limited consumer price response and offers a more discriminating competitive landscape from the one assuming universal consideration set.

• Journal of Fashion Business
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• v.20 no.3
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• pp.54-67
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• 2016

The purpose of this study was to investigate the The effect of fashion consumer's need for uniqueness in their clothing purchase behavior and switching intention. A total of 332 cases were included as the subjects of this study and a survey method was used. The data were analyzed by factor analysis, reliability analysis, t-test and multiple regression analysis using the SPSS 22.0 statistical program. The results were as follows. 1. The 3 dimensions (creative choice, unpopular choice, and avoidance of similarity) were extracted from the consumer's need for uniqueness and consumer divided high uniqueness group, middle uniqueness group, low uniqueness group. 2. The 3 factor (esthetic, functional, practical) were extracted from the clothing selection criteria. The three group had a significant difference in clothing selection and switching intention. Aesthetic factor and practical factor were the highest in high uniqueness group. 3. The need for uniqueness has influence on the aesthetic factor and practical factor. The creative choice factor had positive effect on the aesthetic and practical factor, yet unpopular choice factor had negative effect on the practical factor. The need for uniqueness and aesthetic factor has positive influence on brand switching intentions. 4. There was difference in unpopular choices factor by gender. A monthly average expenditure on fashion products had a significant difference in three kind of need for uniqueness. Results of this study provide a basis understand need for uniqueness and their effect on consumer behavior.

• Industrial Engineering and Management Systems
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• v.15 no.4
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• pp.324-334
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• 2016

Manufacturers and retailers are interested in how prices, promotions, discounts and other marketing variables can influence the sales and shares of the products that they produce or sell. Therefore, many models have been developed to predict the brand share. Since the customer choice models are usually used to predict the market share, here we use hybrid model of Probabilistic Neural Network and Artificial Bee colony Algorithm (PNN-ABC) that we have introduced to model consumer choice to predict brand share. The evaluation process is carried out using the same data set that we have used for modeling individual consumer choices in a retail coffee market. Then, to show good performance of this model we compare it with Artificial Neural Network with one hidden layer, Artificial Neural Network with two hidden layer, Artificial Neural Network trained with genetic algorithms (ANN-GA), and Probabilistic Neural Network. The evaluated results show that the offered model is outperforms better than other previous models, so it can be use as an effective tool for modeling consumer choice and predicting market share.

• The Journal of Industrial Distribution & Business
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• v.11 no.1
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• pp.29-38
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• 2020

Purpose: Understanding which product types of overseas travel (free independent travel vs. package travel) consumers will choose is one of the key issues of marketing and consumer behavior in travel agency management. Prior studies on overseas travel type preferences mainly focused on comparing regional differences (e.g., Asian vs. Westerner, or Korean vs. Australian, or Korean vs. Japanese, or American, French, Italian vs. Japanese) influencing the choice of overseas travel type. Another researchers focused on comparing cultural differences (e.g., individualism vs. collectivism, or individualistic culture vs. collectivistic culture), subcultural difference (e.g., acculturation; Koreans living in Republic of Korea vs. Koreans living in Australia), travel lifestyle, and socio-demographics (e.g., age, gender, income level, education level, marital status, occupation etc.). However, there are few studies that identify individual psychological differences (i.e., individual psychological differences within the same culture) influencing the choice of overseas travel type. Self-construal is a psychological factors that greatly influences choice behavior. The purpose of this study was to examine the role of self-construal as an antecedent variable influencing choice of overseas travel product type. Research design, data and methodology: To achieve the purpose of this study, the questionnaire survey method was used. Self-construal items composed of independent self-construal items and interdependent self-construal items. Product types of overseas travel were free independent travel (FIT) type versus package travel type. In this study, the correlation coefficient between independent self-construal and interdependent self-construal was nonsignificant. It meant that the relationship between independent self-construal and interdependent self-construal was orthogonal. Therefore it was analyzed that independent self-construal and interdependent self-construal separately. Reliability analysis, factor analysis, and logistic regression analysis (controlling gender and age) was used as the data analysis method. Results: According to the results of this study, the stronger independent self-construal, the more preference for the free independent travel type rather than package travel, and the stronger interdependent self-construal, the more preference for the package travel type rather than free independent travel. Conclusions: Self-construal is an antecedent variable influencing the choice of travel type. Travel agencies must consider the consumer's self-construal (independent self-construal vs. interdependent self-construal) before planning and designing overseas travel products.

• Proceedings of the Technology Innovation Conference
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• 2003.02a
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• pp.173-190
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• 2003

Demand forecasting is essential in establishing national and corporate strategy as well as the management of their resource. We forecast demand for multi-generation product using discrete choice model combining diffusion model The discrete choice model generally captures consumers'valuation of the product's qualify in the framework of a cross-sectional analysis. We incorporate diffusion effects into a discrete choice model in order to capture the dynamics of demand for multi-generation products. As an empirical application, we forecast demand for worldwide DRAM (dynamic random access memory) and each of its generations from 1999 to 2005. In so doing, we use the method of 'Technological Forecasting'for DRAM Density and Price of the generations based on the Moore's law and learning by doing, respectively. Since we perform our analysis at the market level, we adopt the inversion routine in using the discrete choice model and find that our model performs well in explaining the current market situation, and also in forecasting new product diffusion in multi-generation product markets.

• KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
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• v.24 no.2
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• pp.57-64
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• 2018

This article delves into the current status of various packaging technologies, which are currently being applied or are under development for the shelf-life extension and quality improvement of fresh and processed meat products. Traditional packaging methods include vacuum packaging, modified atmosphere packaging, and air-permeable packaging. Recently, innovative packaging methods have been introduced that utilize technologies such as barrier-films, active packaging, nanotechnology, microperforated films, far-infrared radiations, and plasma treatment. All of these packaging methods have their own merits and drawbacks in terms of shelf-life and quality maintenance. A right choice of packaging system for fresh and processed meat products must be made in accordance with the conditions of the raw material, storage, and distribution in the market and household, and while considering the environmental sustainability and consumer's expectations.

• Korean Management Science Review
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• v.29 no.1
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• pp.33-56
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• 2012

Domestic LCD TV market is composed of two groups of products produced by major firms and small and medium enterprises. The major companies make the price relatively high, but the other makes lower in the same sizes. The model of the low price products does not make consumers choice when they choose LCD TV. This makes the questions of capability between difference price products. The reason above mentioned, the firms that include group of comparatively lower price, are worried about not increasing sale because of prejudice. This study is to find any interrelationship and evaluate the efficiency between the products using performance, exterior and brand power of product. In order to do this, a hybrid AHP/DEA evaluation model for comparison/valuation of LCD TV products is developed. The proposed process is; first, to derive hierarchy structure of LCD TV evaluation criteria using axiomatic design, second, to calculate the score of each LCD TV product through AHP analysis including weight calculation of evaluation criteria, and last, to evaluate the efficiency of LCD TV product by applying DEA by defining product scores as output and prices as input. It concludes that the high price products shows good efficiency, but there are some products with good exterior and brand power, not performance, also presenting good efficiency.