• Journal of Korea Technology Innovation Society
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• v.7 no.1
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• pp.89-110
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• 2004

Home networks consist of two or more home appliances or communication devices enabling the mutual data communication between appliances such as personal computers, refrigerators, phones, television sets, personal digital assistants(PDA), etc. There are three factors that create demand for the home network services. The first factor is development of technology. Second, on the demand side, consumer demand for the home appliances having access to the Internet is in the increase. Finally, producers need a strategy to deal with the problem of market saturation. Home networks are emerging markets. They are unique in that they unite information technologies with home appliances that provide new services. in this paper we study the main attributes of home network services and analyze consumers' preferences for them. However, it is not quite possible to use the revealed preference approach since the home network market is still at an incipient stage. We therefore use the conjoint analysis method using stated preference data. conjoint analysis has been widely use in the area of marketing for evaluating consumer preferences for new products and services. it presents a hypothetical product to the respondents along with the product's attributes and their levels. The respondents are asked to either rank each alternative or choose between several hypothetical products. By estimating consumers' willingness to pay for the attributes of the home network services and analyzing consumers' preferences, we predict the pattern of the development of the home network services and related technologies along various quality dimensions. Based on the estimation results, we draw policy implications for the national- and company-level strategy.

• Journal of Korean Society for Quality Management
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• v.47 no.2
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• pp.345-365
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• 2019

Purpose: We consider export of Korea for Muslim population of Cairo residents in Egypt. Product instant cup noodle and yuzu tea are mainly focused on Kano model and Timko's customer satisfaction factor (CS - Coefficient) analysis and conjoint analysis. Methods: Based on the evaluation and conjoint analysis, cluster analysis was additionally applied to further exploratory research as to what kind of population the target customer has. A total of 120 people, each 60 people each, were prosecuted for Muslim women, middle middle class who had over 3,000 Korean won annual income for that study, and in Cairo in August 18. Results: The Kano analysis result Instant cup noodles act as attractive elements for packaging state, cooking method, smell and convenience, and Yuzu tea acted as an attractive element of taste, eating method, raw materials, efficacy, packaging form. Customer satisfaction factor, instant cup noodles, capacity and noodle thickness was a factor of indifference in Kano analysis, but acted as an attractive factor, the way to eat citron tea was classified as a factor of indifference. Conclusion: In the case of instant cup noodles, we first set up the taste of chicken-based soup with high appreciation as a whole, a group that likes chicken-based soup taste and oil noodles for each market segment, a taste of beef based soup And popular group that likes raw noodles Appears that diversification is necessary, and it has been found that it is necessary to develop a product type by hierarchy and marketing with different size priority from group packaging container. In the case of Yuzu tea, it is indispensable to emphasize the efficacy, in particular, energy recovery preference appears high, appealing point matching the needs of energy recovery is necessary, release the citrus fruit as a product without buckwheat in Bisson Ho, the packaging container, The group that likes cups and sticks is different and we found that it is necessary to prepare all two types.

• Journal of the Korean Society of Food Culture
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• v.37 no.5
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• pp.429-437
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• 2022

This study evaluated the quality of school milk programs and analyzed the relative importance of school milk program selection attributes using conjoint analysis. The survey was conducted on students from middle and high schools in metropolitan cities that provide school milk programs. Responses were received from 414 students and the data was subjected to frequency analysis, t-test, and conjoint analysis using the SPSS Statistics Package. While evaluating white milk in the school milk program, middle school students rated 'packaging condition' (4.23) the highest, high school students rated 'nutrition' (4.64) the highest, and their evaluation of all the quality attributes was significantly different from that of middle school students (p<0.001). Overall satisfaction scores too, showed a significant difference between high school (4.46) and middle school students (4.01) (p<0.001). Processed milk & dairy products had the highest satisfaction score in the attribute of 'serving time' (4.57). The relative importance of the choice attributes of the school milk program was in the order of 'number per item' (62.260%), 'temperature' (25.708%), and 'serving method' (12.032%) for all students. The school milk program most preferred by all students and middle school students was to provide milk at a refrigerated temperature, select white milk three times a week, processed milk, fermented milk, and cheese twice a week, and provide it at the desired time.

• Journal of the Korean Society of Food Culture
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• v.15 no.1
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• pp.51-58
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• 2000

This study is designed to 1) understand customers' choice behavior and preference of foodservices in campus and 2) provide recommendation on management strategies for university foodservice manager. Individual interview and focus group interview were used to identify important selection attributes. The questionnaire was developed and distributed to 480 Yonsei university students and statistical data analysis was completed using SPSS WIN/7.5 for descriptive analysis, multidimensional scaling and conjoint analysis. The results of this study were summarized as follows: Students evaluated four foodservices in different ways, and strength/weakness points could be identified from the evaluation patterns. Most students(51.1%) were frequently used 'A' foodservice, though they preferred other foodservices, and cost, mainly, caused the difference. Perceptual map from multidimensional scaling showed that preference and patronage were close with different attributes. Cost was most relatively important attribute to select foodservice in campus from conjoint analysis. Therefore, relative importance of attributes should be considered in customer preference survey for constructing management plan.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.4
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• pp.651-658
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• 2008

Conjoint analysis estimates how much each of the attributes is valued on the basis of the choices consumers make among product concepts that are varied in systematic ways. The purposes of this research were to evaluate the relative importance of each fabric constituent characteristic for the consumer's utility or preference, to compare with the relative importance between the trained and the untrained panelists, and to identify the combinations of the constituent characteristic of knit fabric which offer consumers greater utility. Conjoint analysis was conducted using data taken from 54 trained and 54 untrained panelists, who rated preference for 12 different knit fabrics. The stitch length had a greater effect on knit fabric preference than the mixture ratio of fiber. There was no difference on effect of knit constituent characteristics for preference between the trained and the untrained panelists. Total, trained and untrained group preferred a knit fabric that had a higher acrylic mixture ratio and a short stitch length.

• Journal of the Korean Data and Information Science Society
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• v.20 no.4
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• pp.695-703
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• 2009

Currently, various cellular phone products with multiple functions and diverse designs are coming out in the cellular phone market. Companies have been developing their products for profit maximization, considering preferences of customers. In this article, we have created 18 profiles using the SPSS program and executed a survey to analyze preferences of college students. Also, we have grasped the relative importance of each attribute using conjoint analysis and executed clustering analysis to make market segmentation by binding the respondents who have similar partial value utilities. Lastly, by choice simulation, we have predicted market shares of 18 virtual products.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2000.04a
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• pp.187-196
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• 2000

A lot of Internet shopping malls strive for obtaining a competitive advantage over others in an increasingly tighter electronic marketplace. To this end, understanding customer preference toward products (or services) and administering appropriate marketing strategy is essential for their continuous survival. However, only a few marketing researchers and practicioners focused on this issue, compared with academic and industry efforts devoted to traditional market segmentation. In this paper, we suggest a methodology of conjoint segmentation for electronic shopping malls. Traditional market segmentation methodologies based on customer's profile sometimes fail to utilize abundant information given while navigating around cyber shopping malls. In this methodology, we do not impose information overload to the customer for preference elicitation, but this methodology, we do not impose information overload to the customer for preference elicitation, but capture automatically generated surfing or buying data and analyze them to get useful market segmentation information. The methodology consists of 4-stages: 1) analyzing legacy homepages, 2) data preparation, 3) estimating and interpreting the result, and 4) developing marketing mix. Our methodology was to give useful guidelines for market segmentation to companies working in the electronic marketplace.

• Journal of the East Asian Society of Dietary Life
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• v.23 no.5
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• pp.662-669
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• 2013

The purpose of this study is to examine consumers increased interest pertaining to the structural elements of the triangular gimbap. Through an investigation of their importance by attribute and the attribute's partial value, the preference of the triangular gimbap was obitained. The survey was conducted with a panel of two hundred and one university students, from January 7, 2013 to January 14, 2013. In order to achieve an optimal production of the triangular gimbap, the survey consists of 8 profiles with an orthogonal design for cross-validity authorization and reliability of the model. The statistical data analyses use SPSS/WIN 20.0 for the conjoint analysis. The results of this study indicate that the triangular gimbap, with 30% brown rice, mixed stuffing, weight of 100 grams, and a price of 800 won was selected. It is an estimation that new customers will be attracted to the triangular gimbap that consists of a variety of rice and stuffing.

• Journal of Korea Game Society
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• v.3 no.1
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• pp.37-48
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• 2003

Although the user needs for computer game have been complicated and fragmented, new game development of Korean computer game developers are carried out from the developer's perspective. In the light of this limitation. This study introduces conjoint that designs an optimal new product for game users. We applied the conjoint analysis to Koran game market and found several important issues regarding Koran game users. Our results show that, regardless of game types, Korean game useis' preference mainly center on "variety of game."

• Journal of the East Asian Society of Dietary Life
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• v.16 no.3
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• pp.242-250
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• 2006

The purpose of this study was to identify tourist product factor combinations which confer the highest utility to tourists and to establish the relative importance of factors in terms of their contribution to total utility across gender. Among 250 questionnaires, 230 questionnaires were utilized for the analysis. $X^2$ analysis, Conjoint model, Max. Utility model, BTL model, Logit model, K-means cluster analysis, and one-way anova analysis were used for this study. The findings from this study were as follows. First, the Pearson's R and Kendall's tau statistics showed that the model fitted the data well across gender. Second, it was found that total respondents and three clusters regarded taste price as the very important factor across gender. Third, it was found that the male and female tourists most preferred product with light red color, shaped package, and highly pungent taste sold at a cheap price in factory. Fourth, it was found that the male tourists most preferred simulation product with light red color, shaped package, and highly pungent taste sold at a cheap price in factory. The female tourists most preferred simulation product with light red color, shaped package, and mild taste sold at a cheap price in factory. Finally, the results of the study provide some insights into the types of effective product designs that can be successfully developed by marketers.