• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.1055-1062
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• 2021

This study aims to determine the effect of consumer preferences and awareness on interest in organic vegetables. Factors observed in this study were information, consumer preferences, consumer awareness, and consumer buying interest toward organic vegetables. This research uses descriptive quantitative method. The data sampling technique uses accidental sampling method. The data was collected from respondents consisted of 100 consumers of five major retailers in the city of Bogor in Indonesia. The respondents consist of 80 female (80%), and 57 respondents are 25-34 years old (57%). In terms of education, type of job and monthly income of respondent, the sample can be categorized as middle-class segment. The data obtained were analyzed using Structural Equation Modeling with Partial Least Square (SEM-PLS). The results of this study indicate that the information obtained by consumers significantly and positively affects consumer preferences and consumer awareness of organic vegetables. Then, consumer preferences and consumer awareness significantly and positively affect the interest of consumers to buy organic vegetables. Consumer preference for organic vegetables is still considered quite low. The factors that influence the low consumer preference are the price of organic vegetables, which is more expensive than non-organic vegetables and the unattractive packaging of organic vegetables.

• Journal of the Korean Society of Clothing and Textiles
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• v.16 no.4 s.44
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• pp.471-484
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• 1992

The purpose of this study was 1) to find out Market segmentation possibilities according to consumer's store selection factors by analysis of Consumer's attitude and oriteria of apparel store selection, 2) to provide marketing strategies of segment marker for apparel stores Research problems were as follows. 1) To find out the important factors of consumer's store selection and to segment markets according to their factors. 2) To find out consumer characteristics (demographic variables, clothing life factors, cloth-ing purchase behaviors) according to segment markets. 3) To find out preference store types and preference factors according to segment markets. 4) To provide marketing mix strategy for retail apparel store sales. The subjects selected for the final analysis were 586 female college students, housewives, and workers living in Seoul. A questionnaire was developed in order to measure consumer's selection criteria of apparel store, consumer characteristics and preferred store types and preferential factors. The results of this study were as follows: 1. There were 8 factors of consumer's store selection such that: the high quality, convenience, store atmosphere, economy, dependency commercials, store patronage, the conformity, product assortment. the result of cluster analysis based on these 8 factors of store selection verified that market was able to be segmented as four different market, which were the store loyalty group, the aligned economical group, the assortment pursuing group, the store fame dependent group. 2. There were significant differences among four groups, for 4 variables related to consumer's characteristics such as demographic characteristics (sex, age, job, level of education, the living quarters, marrige or unmarrige), clothing life factors, clothing evaluating criteria, and favorite fashion information sources. 3. There were significant differences among four groups for 2 variable related to store preference such as preference types of store and preference factors of store.

• Journal of Korea Multimedia Society
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• v.24 no.7
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• pp.966-978
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• 2021

This thesis provided basic data of the domestic leggings industry. For the purpose of comparative analysis, the sales status and consumer preference status of domestic leggings brands were selected, and the three companies, X*xymix, A*dar, and M*laware, which occupy the top positions by domestic leggings brand rankings Therefore, from 2018 to 2020, the market size of leggings items is identified with reference to the sales status and consumer preference status data, and the status of consumer preference is analyzed. As a result of the survey analysis, X*xymix, A*dar, and M*laware, which rank high in consumer preference, operate a separate men's leggings line from leggings targeting young women who mainly focus on yoga, pilates, and fitness exercises. As the age increased, the demand for leggings expanded to the middle-aged. Therefore, it is believed that the segmentation of leggings is made according to the diversifying types of exercise, and as the age group in demand for leggings is expanded, continuous research on market segmentation for aqua leggings necessary for aqua exercise that can exercise without straining the body.

• Proceedings of the Technology Innovation Conference
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• 2006.02a
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• pp.264-297
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• 2006

In this paper, we attempt to analyze consumer preference for the alternative-fuel vehicles based on data from a stated preference using the conjoint analysis. Five possible fuel types (gasoline, diesel, CNG, LPG, Hybrid (electricity+gasoline)) are covered in conjoint cards. To estimate and analyze consumer preference, discrete choice model is used. Specifically, Bayesian mixed logit model is used. Based on estimating results, we discuss the business strategy and policy for the alternative fuel vehicle.

• Food Science and Biotechnology
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• v.16 no.6
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• pp.863-867
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• 2007

The potential impact of the methods of sensory science on consumer testing and marketing is reviewed. Areas such as predicting purchase behavior, new approaches to scaling, and cross cultural effects are discussed. An example of the complexity of sensory measurement used to obtain consumer and marketing information is highlighted, using the simple paired preference test as an example.

• Journal of Fashion Business
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• v.16 no.5
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• pp.130-145
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• 2012

The purpose of this study is to investigate the influence of cause-related marketing on consumer attitude for fashion brand in terms of brand familiarity, consumer's propensity for data processing and types of advertising. The design of this study is comprised of 2(brand familiarity : high vs low)${\times}$ 2(consumer's propensity for data processing : high vs low), designed with three mixed elements. The subjects of this study are 308 male and females in twenties or thirties from the area of Seoul, Kyunggi, Busan and Daegu. Data analysis is carried out through T-test, and ANOVA. The results of this study are as follows. First, when fashion brand pursues cause-related marketing, brand familiarity, consumer's propensity for data processing and types of advertising have statistically interaction effect on consumer's preference. Second, rational appeals in advertising have no significant interaction effect on consumer's preference in terms of brand familiarity. Rational appeals are preferred to Emotional appeals in both familiar and unfamiliar brand. Third, when fashion brand pursue cause-related marketing, brand familiarity, consumer's propensity for data processing, and the types of advertising have no significant interaction effect on consumer's preference.

• Journal of the Korean Society of Clothing and Textiles
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• v.44 no.3
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• pp.556-571
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• 2020

This study predicts consumer preference for social clothing at work, excluding uniforms using the self-product congruence theory that also establishes a model to predict the preference for recommended products that match the consumer's own image. A total of 490 Korean male office workers participated in this study. Participants' self-image and the product images of 20 apparel items were measured using nine adjective semantic scales (namely elegant, stable, sincere, refined, intense, luxury, bold, conspicuous, and polite). A model was then constructed to predict the consumer preferences using a neural network with Python and TensorFlow. The resulting Predict Preference Model using Product Image (PPMPI) was trained using product image and the preference of each product. Current research confirms that product preference can be predicted by the self-image instead of by entering the product image. The prediction accuracy rate of the PPMPI was over 80%. We used 490 items of test data consisting of self-images to predict the consumer preferences for using the PPMPI. The test of the PPMPI showed that the prediction rate differed depending on product attributes. The prediction rate of work apparel with normative images was over 70% and higher than for other forms of apparel.

• Journal of Information Technology Services
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• v.22 no.3
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• pp.119-139
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• 2023

Generation MZ has emerged as a significant consumer segment and trendsetter in the fashion market of South Korea. Fashion designer brands have become popular among this generation by offering a range of fashion content on social network services (SNS) based on fresh and trendy designs. Despite the growing market share of fashion designer brands in the industry, previous research has mainly focused on brand personality in line with the characteristics of traditional fashion brands. Therefore, this study aims to derive brand personality and SNS characteristics of fashion designer brands based on previous research and investigate the influence of these factors on brand preference and behavioral intention. Moreover, it examines how this influencing mechanism fluctuates based on the consumer type (i.e., innovative type vs. price-sensitive type). Based on an online survey of 256 Korean adults with experience in fashion designer brands, this study identified the influencing mechanisms on purchase intention and word-of-mouth intention. This study contributes to empirical investigations of consumer brand preference and behavior intention in fashion designer brands through the brand equity model. It also offers insight into developing a segmented brand strategy by considering the variations in the influence mechanism of behavioral intention across different consumer types.

• Korean journal of food and cookery science
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• v.23 no.6
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• pp.839-847
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• 2007

The aims of this study were twofold: i) to investigate changes in the sensory characteristics and consumer preference of diluted espresso drinks according to different dilution rates; ii) to compare the physicochemical characteristics between diluted espresso coffees, using the preferred coffee of this study and commercial products from coffee shop chains. Descriptive analysis using a 15 cm line scale, and a consumer preference test were carried out by 6 trained panelist,; and 50 consumers (F=39, M=11), respectively. Appearance (transparent, black), odor (bitter, rich), taste (bitter, burnt, astringent, umami, sour), and mouth-feel (aftertaste, body, coarseness, oily, roughness, soft-swallowing) were significantly different among the 3-, 5-, 7-, 9-, and 11-times dilution rates. In particular, the sensory characteristics associated with mouth-feel showed obvious differences with the dilution rates. In the consumer preference test, the 9-times diluted espresso had the highest preference, whereas the 3-times diluted espresso showed the lowest preference. Moreover, the 9-times diluted espresso demonstrated similar physicochemical characteristics such as pH, sugar content, and total solid content to those of the commercial diluted espresso drinks from coffee shop chains. In conclusion, the sensory characteristics and consumer preference of the diluted espressos were influenced by the dilution rates.

• Food Science and Biotechnology
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• v.17 no.3
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• pp.495-500
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• 2008

This study assessed the role of fatty acids on beef preference of 2 consumer groups from South Korea and Australia. Three muscles (longissimus dorsi, triceps brachii, and semimembranosus) were obtained from 36 carcasses (18 Hanwoo steers and 18 Angus steers) and the cooked beef samples were evaluated by 1,080 consumers (720 Korean consumer panels and 360 Australian consumer panels). The cluster analysis showed that the Korean consumers had more significant relationship with fatty acid composition of beef than that of the Australian consumers when evaluated Australian Angus beef Only C20:5(n-3), and C22:5(n-3) affected preference clustering for Australian consumers; while saturated (C16:0 and C 18:0) as well as unsaturated fatty acids [C16:1(n-7), C18:2(n-6), C18:3(n-3), C20:3(n-6), C20:4(n-6), C20:5(n-3), C22:4(n-6), C22:5(n-3)] affected preference clustering for Korean consumers (p<0.05). In the discriminant analysis of Korean consumer's preference clustering, C20:5(n-3) was a significant fatty acid for Australian Angus beef while the C20:4(n-6) and C 18:0 for Korean Hanwoo beef to evaluate the palatability (p<0.05). Therefore, fatty acid compositions impact Korean consumer's preference of beef.