• Journal of Fashion Business
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• v.17 no.5
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• pp.57-69
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• 2013

The purpose of this study is to compare the traditional shopping model and virtual avatar fitting model with regards to credibility and favorable impression effects on shopping mall satisfaction, product preferences, and purchasing intentions of apparel e-commerce. Questionnaires are distributed to 10-30s years old consumers who live in Seoul. Data are analyzed by descriptive statistics, Cronbach's ${\alpha}$, and regression analysis. The results are that the provoked credibility and favorable impression from the traditional shopping model affects the consumers' shopping mall satisfaction and buying intention in descending order. In additional, the credibility from traditional shopping model affects the product preference. The provoked credibility from the virtual fitting model influences the consumers' product preferences, and buying intentions. The favorable impression from the virtual fitting model affects shopping mall satisfaction. In general, provoked credibility from virtual avatar fitting model and traditional shopping model play key roles which could influence the consumers' buying intention.

• Journal of the East Asian Society of Dietary Life
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• v.11 no.5
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• pp.345-355
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• 2001

This study was conducted to evaluate the consumers' preferences and perceptions on the salad and its dressings, via a total of 401 subjects in the Taegu area on the basis of 5-point Likert scale. Anthropometric data included the total subjects consisted of 66 females and 335 males: categorized by age, 20's (103), 30's (135). 40's (83), over 50's (80), The average size of family was 4.2 persons. According to BMI, 64.8% of the subjects belonged to the normal group. The age group that liked salad most was the 20's group, which was also the group that ate salad most frequently. The salad was perceived as food item which is convenient to eat(3.83), healthy(3.63), easy to prepare(3.73) and delicious(3.61) but rarely as a expensive item(2.44). The ingredients, used for salad preparation included fruits and vegetables(3.19) such as tomato and cucumber. Among the salad dressings, the fruit dressing was preferred the most(4.59), while the mayonnaise the least(3.59). The mayonnaise was perceived as an item with highest calories(4.1), and hardly perceived as a luxury item(2.78). The preference for the fruits dressing was highly correlated with the degree of education(p<0.05), age(p<0.001) and BMI(p<0.001). The higher the degree of education, the lower the level of age group, and the lower the BMI, the higher preference for the fruit salad dressing was demonstrated.

• Journal of the Korean Society of Clothing and Textiles
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• v.39 no.4
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• pp.529-544
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• 2015

This study investigated consumer's fragrance preferences as well as image, color, and TPO associations with fragrance. Eight branded perfumes of four fragrance families were selected according to the top note (floral, fruity, green, and citrus) as stimuli; consequently, fragrance preferences and associations were measured. A survey that included a scent test was conducted; subsequently, 186 responses from male and female consumers in their twenties were analyzed using descriptive statistics, independent sample t-test, paired t-test, and chi-square analysis. The fruity fragrance was shown to be preferred the most. The perfume itself was associated with cool image, blue or pale tone colors, summer, and casual occasions in general, while a citrus fragrance was related to warm, winter, and deep tone colors in specific. Fragrance associations could be utilized in perfume marketing plans and activities such as advertising and packaging development.

• Fashion & Textile Research Journal
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• v.17 no.5
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• pp.854-861
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• 2015

This study evaluates the objective and subjective hand as well as the preference for hand and outdoor jackets on laminated waterproof breathable fabrics with different constituent characteristics to identify those best suited for consumer needs. Mechanical properties and objective hands were measured by the KES-FB system. The subjective hand and the preference of laminated waterproof breathable fabric for outdoor jackets were rated by the 20's and 30's women experts with tactile and visual senses that utilized a questionnaire with a seven-point semantic differential scale; subsequently, the flexibility and compressive elasticity of laminated waterproof breathable fabrics were low. However, light and thin waterproof breathable fabrics with a smooth surface had high scores in smoothness, fullness & softness and total hand value. In addition, laminated waterproof breathable fabrics were classified into three hand factors: flexibility, density, and surface properties. There were significant differences on flexibility and surface property perceptions, hand and out-door jackets preferences according to the characteristics of waterproof breathable fabrics. The hand preference of the laminated waterproof breathable fabric improved with decreasing 2HB and increasing EM. However, EM showed positive effect for outdoor jacket preferences. Those that were flexible and smooth were preferred for outdoor jackets.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.2
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• pp.221-228
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• 2020

This study suggests an alternative to the conventional collaborative filtering method for predicting consumer choice, using case-based reasoning. The algorithm of case-based reasoning determines the similarity between the alternative sets that each subject chooses. Case-based reasoning uses the inverse of the normalized Euclidian distance as a similarity measurement. This normalized distance is calculated by the ratio of difference between each attribute level relative to the maximum range between the lowest and highest level. The alternative case-based reasoning based on similarity predicts a target subject's choice by applying the utility values of the subjects most similar to the target subject to calculate the utility of the profiles that the target subject chooses. This approach assumes that subjects who deliberate in a similar alternative set may have similar preferences for each attribute level in decision making. The result shows the similarity between comparable alternatives the consumers consider buying is a significant factor to predict the consumer choice. Also the interaction effect has a positive influence on the predictive accuracy. This implies the consumers who looked into the same alternatives can probably pick up the same product at the end. The suggested alternative requires fewer predictors than conjoint analysis for predicting customer choices.

• The Journal of Industrial Distribution & Business
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• v.15 no.3
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• pp.1-9
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• 2024

Purpose: This research aimed at understanding the dynamics of consumer behavior in the context of nostalgic desserts. The primary objective is to scrutinize how different attributes like quality, health, convenience, and trend influence customer satisfaction and their subsequent decision to repurchase nostalgic desserts. Research Method: The study leverages structural equation modeling, incorporating statistical tools such as SPSS and AMOS for a thorough analysis. It involves collecting data over a specified period, followed by correlation and trend analyses to deduce patterns and relationships. Results: The findings reveal that attributes such as quality, health, convenience, and trend significantly impact customer satisfaction and repurchase intentions. Interestingly, economic factors appeared to have a negligible effect on these decisions. The study offers a comprehensive understanding of the factors that influence consumer decisions in the context of nostalgic desserts, providing valuable implications for both academic research and practical marketing strategies. Conclusions: The insights garnered from this research are pivotal for formulating marketing strategies for nostalgic dessert brands. It underscores the importance of accentuating quality, health, and trend in product offerings to boost customer satisfaction and encourage repurchases. The study also sheds light on the evolving nature of consumer preferences and the integral role of nostalgia in shaping purchasing behaviors.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.3
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• pp.537-544
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• 2020

Beef consumption trends are changing according to consumer needs and preferences. This study was conducted to collect the fundamental information by investigating the consumer's preference and purchase propensity of beef(Hanwoo beef) for improvement of Korean beef grading system. Consumers were recruited from Seoul, Gyeonggi-do, and 5 metropolitan cities, and surveyed from July 24 ~ August 14, 2017. The data obtained from 362 consumers were finally selected for the verification process. Results from the Hierarchical Regression Analysis reveal that the increased purchasing frequency is positively correlated with the following factors, in the consumer group showing preference in the Quality Grade (QG) of beef: marbling type 1QG, fat color 1⁺QG, and income, grade opinion, marbling contents and type 1⁺⁺QG. Conversely, no factor affected the increased purchasing frequency in the consumer group having no preferred QG for beef (p>0.05). Our study determined significant differences in the factors affecting increased purchase frequency of beef among the different groups, classified depending on their preferred QG. The grading system is important since it directly correlates with profit for livestock farmers and the industry. We therefore propose that the grading criteria need to be revised reasonably but scientifically, considering various opinions of the producers and consumers.

• Journal of Service Research and Studies
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• v.12 no.2
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• pp.80-93
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• 2022

This study is a study on a methodology that can extract various factors that affect purchase and use of products/services from the consumer's point of view through previous studies, and analyze the types and tendencies of consumers according to age and gender. To this end, we quantify factors in terms of general personal propensity, consumption influence, consumption decision, etc. to check the consistency of data, and based on these studies, we conduct research to suggest and prove data analysis methodologies of consumer types that are meaningful from the perspectives of startups and SMEs. did As a result, it was confirmed through cross-validation that there is a correlation between the three main factors assumed for data analysis from the consumer's point of view, the general tendency, the general consumption tendency, and the factors influencing the consumption decision. verified. This study presented a data analysis methodology and a framework for consumer data analysis from the consumer's point of view. In the current data analysis trend, where digital infrastructure develops exponentially and seeks ways to project individual preferences, this data analysis perspective can be a valid insight.

• Journal of KIISE:Computing Practices and Letters
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• v.10 no.2
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• pp.174-188
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• 2004

In the life environment changed with not only the quality and the price of the products but also the material abundance, it is the most crucial factor for the strategy of product sales to investigate consumer's sensibility and preference degree. In this perspective, it is necessary to design and merchandise the products in cope with each consumer's sensibility and needs as well as its functional aspects. In this paper, we propose the Fashion Design Recommender Agent System (FDRAS-pro) for textile design applying collaborative filtering personalization technique as one of the methods of material development centered on consumer's sensibility and preference. For a collaborative filtering system based on textile, Representative-Attribute Neighborhood is adopted to determine the number or neighbors that will be used for preferences estimation. Pearson's Correlation Coefficient is used to calculate similarity weights among users. We build a database founded on the sensibility adjectives to develop textile designs by extracting the representative sensibility adjectives from users' sensibility and preferences about textile designs. FDRAS-pro recommends textile designs to a customer who has a similar propensity about textile. To investigate the sensibility and emotion according to the effect of design factors, fertile designs were analyzed in terms of 9 design factors, such as, motif source, motif-background ratio, motif variation, motif interpretation, motif arrangement, motif articulation, hue contrast, value contrast, chroma contrast. Finally, we plan to conduct empirical applications to verify the adequacy and the validity of our system.

• Fashion & Textile Research Journal
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• v.20 no.5
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• pp.592-599
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• 2018

The purpose of this study is to investigate consumer needs, image sensibility and preference of bedding fabric according to size and spacing of dot pattern. 18 kinds of dot pattern fabrics were designed with different diameters(6, 8, 10cm) and distances(4, 7, 10cm) in regular arrangement of diamond figure. The subjects were 162 male and female university students. The data were analyzed by SPSS 24.0. Fabrics were assessed subjectively using a 5-point scale 17 consumer needs and 33 sensory descriptors. The most consumer's needs for bedding fabric was shown to be functionality of bedding including hygiene, touch, warmth, ease of washing and management, air permeability, and hygroscopicity. The other parameters of consumer's needs were shown to be physical property and design parameter. The results of analysis of the dimension of image sensibility for fabrics with different size and spacing of dots are derived from six factors including joyfulness, coziness, uniqueness, charm, femininity, and complexity. As a result of analysis of preference with fabric kinds, there was a significant difference in preference with fabrics. The preferred fabrics were characterized by the pattern and the base fabric being striking three-dimensionally with 1/3 twill and 3/1 twill fabric. Sensory descriptors related to joyful image and unique image were analyzed as evaluation terms that can distinguish the preferences of fabrics. Correlation analysis showed the fabrics are preferred as the difference in luminance and reflectance between the base and pattern of the fabric become larger and the spacing of patterns become closer.