• Journal of Fashion Business
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• v.26 no.3
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• pp.33-49
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• 2022

In the metaverse, it is important to embellish aesthetics of user with a character called 'Avatar', a virtual representation of the user. This study provides basic data related to the fashion trend of the metaverse by studying 'Zepeto', a representative Korean platform. For empirical research, Zepeto's "Best Items" section were investigated and analyzed in the first pre-survey. Based on this, the second and main survey was conducted using a questionnaire to investigate users' style-specific preferences and purchasing behaviors for virtual fashion, comparing style preferences between virtual and real, brand preferences, and purchasing behaviors of virtual fashion. The survey found that most users were teenage girls with a high preference for pastel-toned, feminine, and cute casual styles who had a much higher interest in brands bearing idol names than in real-world luxury brands. Many responded that they felt burdened by purchasing items that had to be purchased for cash. The same can be assumed to be the reason why they preferred a suit of items that were fully coordinated rather than individual items. These results seem to reflect characteristics of teenage girls who lack cash with a high preference for idols and feminine-cute casual styles. This study suggests considerations when creating virtual fashion items. By providing basic information, more effects and developments in creating virtual fashion items that reflect consumer preferences and reactions are expected in the future.

• Asian Journal of Innovation and Policy
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• v.7 no.2
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• pp.338-363
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• 2018

Mobile marketing is a brand new phenomenon. In Malaysia, marketeers do not seem to understand well enough the perceptions of consumers according to mobile marketing, especially to the mobile service users. This study analyses and evaluates any significant relationship between consumer perceptions and intentions with respect to mobile marketing, and seeks to determine the expectations, preferences, pattern and usage of the consumers of Mobile Marketing Product and Service (MMP&S). The data was obtained by convenience sampling in the big cities of Malaysia. A total of 500 questionnaires were distributed and a sample of 112 usable questionnaires was selected. The result of this research applying the Technology Acceptance Model (TAM) point to the fact that perceived usefulness, perceived ease of use, perceived innovative, social influence have a direct positive relationship with the intention to use mobile marketing. This, in turn, can shed light on the main factors determining consumer intentions to use mobile marketing that may control consumer adoption of mobile marketing.

• 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.

• Nutrition Research and Practice
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• v.9 no.5
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• pp.517-522
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• 2015

BACKGROUND/OBJECTIVES: The objective of this study was to investigate food allergens and prevalence rates of food allergies, followed by comparison of consumer attitudes and preferences regarding food allergy labeling by diagnosis of food allergies. SUBJECTS/METHODS: A total of 543 individuals living in Seoul and Gyeonggi area participated in the survey from October 15 to 22 in 2013. RESULTS: The results show that the prevalence of doctor-diagnosed food allergies was 17.5%, whereas 6.4% of respondents self-reported food allergies. The most common allergens of doctor-diagnosed and self-reported food allergy respondents were peaches (30.3%) and eggs (33.3%), respectively, followed by peanuts, cow's milk, and crab. Regarding consumer attitudes toward food labeling, checking food allergens as an item was only significantly different between allergic and non-allergic respondents among all five items (P < 0.001). All respondents reported that all six items (bold font, font color, box frame, warning statement, front label, and addition of potential allergens) were necessary for an improved food allergen labeling system. PLSR analysis determined that the doctor-diagnosed group and checking of food allergens were positively correlated, whereas the non-allergy group was more concerned with checking product brands. CONCLUSIONS: An effective food labeling system is very important for health protection of allergic consumers. Additionally, government agencies must develop policies regarding prevalence of food allergies in Korea. Based on this information, the food industry and government agencies should provide clear and accurate food labeling practices for consumers.

• Journal of the Korean Society of Clothing and Textiles
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• v.20 no.5
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• pp.738-752
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• 1996

The purposes of this study were 1) to test the interactive effects of usage-situation (wedding receptions, home, and vacation) and personal characteristics (age, income, education, job or self-monitoring) on clothing benefits sought and 2) to identify brand type preference of consumer groups segmented by age, income, education, job or self-monitoring within a situation. The data were collected via a questionnaire from 601 housewives of ages 20's∼ 50's living in Seoul, Korea. The data were analyzed by factor analysis, repeated measure two-way ANOVA and Chi-square test. The results of this study were as follows. First, by repeated measure tow-way ANOVA, there were significant interactions of age and situation, and interactions of education and situation on Youth/Fashion benefits and Brand-value benefits. And interactive effects of education and situation on Self-expression benefits and Economic-value benefits were significant by repeated measure two-way A NOVA. Second, based on x2-test, brand type preference was significant difference between consumer groups segmented by age, education and job within a situation. And preferences of brand type were different among usage situations.

• The Journal of Fisheries Business Administration
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• v.55 no.1
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• pp.37-53
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• 2024

In the post-COVID-19, the food industry is rapidly reshaping its market structure toward online distribution. Rapid delivery system driven by large distribution platforms has ushered in an era of online distribution of fresh seafood that was previously limited. This study surveyed 1,000 consumers nationwide to determine their online seafood purchasing behaviors. The research methodology used factor analysis of consumer lifestyle and Heckman's ordered probit sample-selection model. The main results of the analysis are as follows. First, quality, freshness, selling price, product reviews from other buyers, and convenience are particularly important considerations when consumers purchase seafood from online shopping. Second, online retailers and the government must prepare measures to expand seafood consumption by considering household characteristics and consumer lifestyles. Third, it was analyzed that consumers trust the quality and safety of seafood distributed online platforms. It is not possible to provide purchase incentives to consumers who consider value consumption important, so improvement measures are needed. The results of this study are expected to provide implications on consumer preferences to online platforms, seafood companies, and producers, and can be used to establish future marketing strategies.

• Proceedings of the Technology Innovation Conference
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• 1996.12a
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• pp.179-195
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• 1996

With current. difficulties in Korean agricultural sector, the biotecilnoiogy is considered as the most important factor to offset the inferiority in the agriculture. New products by using the biotechnology would be commercialized and consumed by both producers and consumers. Before its production and distribution researches on new product should be undertaken in many aspects, especially in terms of economic aspects. Main objectives of this study are to measure the economic value of the new product using the agro-biotechnology, here potato microtubers, and to examine whether the stated preferences theory, the Contingent Valuation Method(CVM), could be accepted in the economic analysis for the new biotech product. Through the demand function derived from the consequences of functional relationship, the consumer's surplus was estimated.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.10
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• pp.1412-1423
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• 2002

The purpose of this study is to objectively explain the visual sensibility of clothing torture that satisfies the consumer's sensibility. The photo stimuli on clothing texture are divided into hard, soft transparent and brilliant. For the study of image 38 kinds of costume samples is used. The Study was measured by using Semantic Differential method. The subjects were 410 females in twenties. The data were analyzed by factor analysis, ANOVA, MDS and regression analysis. Data were analyzed by SPSS. The major findings of this research were as follows: 1. As a result of the factor analysis,5 factors of visual sensibility were consist of high qualities, touches, looks, lightness, and warmness or coolness.2. There were significant difference in visual sensibility based on classification of clothing texture.3. The clothing texture was classified as thin-full, flat-lumpy. 4. As a result of the regression analysis, preferences of consumers can be connected directly with buying behavior and satisfaction can be closely related with preferences and positive buying behavior.

• Korean Journal of Organic Agriculture
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• v.29 no.4
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• pp.523-538
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• 2021

The purpose of this paper is to analyze the difference of the value in main production areas affected through the hedonic price model and the conjoint analysis. In addition, the partial value of each attribute level, and the consumers' willingness to pay(WTP) for change in each attribute level are analyzed. For this, we compared the value of apple determined in Garak market with the value that consumers' WTP. The result showed that there is a gap between the market value and the consumers' preferences on apple. It means that it is necessary for the local branding to be more developed to receive higher sales. Furthermore, understanding the consumers' preferences on the apple attributes can enhance the consumer utility and the competitivity. As a result, this study provides an apple marketing direction for main production areas that has been changing due to climate change.

• The Research Journal of the Costume Culture
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• v.31 no.3
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• pp.330-345
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• 2023

This study aimed to categorize consumers using super app functional characteristics to identify demographic differences, and analyze shopping orientations by consumer type. This data can be used by fashion and beauty companies for product planning and marketing strategies. To categorize super app consumers, data were analyzed with SPSS v.26.0 software using frequency, factor, reliability K-mean cluster, and distributed analyses, one-way-ANOVAs, and Scheffe verification. Cross-analysis was conducted to correlate super app consumer types with demographic characteristics. One-way-ANOVAs and Scheffe verification were used to analyze the differences in shopping preferences between super app consumer groups. As a result of our analyses, super app consumers were classified into four types: the ration type, the low-use type, the multifunction type, and the habit type. There were statistically significant differences between these types in age, occupation, marital status, average monthly household income, and shopping impact factors. Five super app user shopping orientations were identified: brand pursuit, pleasure pursuit, trend pursuit, risk perception, and economic orientation. The differences in the preferred orientation between super app consumer types were found to be statistically significant. The majority of respondents were multifunction type consumers. This group used the super app most frequently and effectively. They also demonstrated the highest scores for all five of the shopping orientations. The classification of consumer types in this study will allow the fashion and beauty industries to utilize super apps for more targeted product design and marketing.