• Journal of the Korean Society of Clothing and Textiles
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• v.46 no.1
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• pp.1-16
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• 2022

To develop functional workwear for fishing, this study investigated the working conditions, inconveniences and problems associated with workwear, and functions required for workwear. A questionnaire was used for the study, and SPSS 26.0 was used for the analysis. In total, 124 fishermen participated in this survey (ages: 53.2 ± 11.9), consisting of 84.7% males and 15.3% females. The number of participants whose work experience was more than 10 years and less than 20 years was 46, accounting for 37.1%. Most fishing industry was in danger of getting hit by machinery or clothes. Fishermen preferred two-piece style workwear, and a waterproof fabric was the most important factor considered while purchasing the workwear. Their discomfort while moving in their workwear was attributed to the stretching of their hips, thighs, crotch, and knees when lifting their legs or squatting. Preferences depended on the type of fishery and the age of fishermen. Protection was emphasized for aquaculture fishing, while the activity was emphasized for capture fishing. People in their 50s emphasized the protection provided by the workwear, while others emphasized the activity. In the future, substantial research is necessary to develop workwear that reflects fishermen's requirements.

• International Journal of Advanced Culture Technology
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• v.11 no.3
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• pp.163-171
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• 2023

A blind box is a kind of sales method in that you can only get the product information by opening the package. In 2019, blind box products began to grow rapidly in the Chinese market, and gradually formed a special "blind box economy". The particularity of blind box products is that driven by consumers' curiosity, consumers' purchasing behavior can be directly induced by the visual and tactile perception of commodity packaging. Therefore, it is necessary to explore the psychological needs of consumers and master the blind box packaging design elements under the influence of consumer psychology. This paper takes figurine blind box packaging elements as the research scope and Chinese blind box consumers as the research object. Through market research and literature study, We are designed to conduct a questionnaire survey and SPSS empirical study to find out the differences in the preferences of different consumer temperament types for blind box packaging, taking the characteristics of blind box products and consumer psychology as the relevant theoretical background. The research results show that among the blind box consumers, choleric type consumers predominate, the color of the blind box packaging presents red, orange, and yellow preference, and the material presents metal, and plastic preference. The shape of the blind box shows a preference for special shape.

• Journal of Information Technology Services
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• v.22 no.1
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• pp.43-56
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• 2023

With the development of the e-commerce market, various types of products continue to be released. However, customers face an information overload problem in purchasing decision-making. Therefore, personalized recommendations have become an essential service in providing personalized products to customers. Recently, many studies on GCN-based recommender systems have been actively conducted. Such a methodology can address the limitation in disabling to effectively reflect the interaction between customer and product in the embedding process. However, previous studies mainly use implicit feedback data to conduct experiments. Although implicit feedback data improves the data scarcity problem, it cannot represent customers' preferences for specific products. Therefore, this study proposed a novel model combining explicit and implicit feedback to address such a limitation. This study treats the average ratings of customers and products as the features of customers and products and converts them into a high-dimensional feature vector. Then, this study combines ID embedding vectors and feature vectors in the embedding layer to learn the customer-product interaction effectively. To evaluate recommendation performance, this study used the MovieLens dataset to conduct various experiments. Experimental results showed the proposed model outperforms the state-of-the-art. Therefore, the proposed model in this study can provide an enhanced recommendation service for customers to address the information overload problem.

• Journal of Distribution Science
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• v.21 no.11
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• pp.103-111
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• 2023

Purpose: This research aims to study the selection attributes influencing the purchasing decisions of the MZ generation in online luxury stores and explores the moderating effects of consumer value. The research aims to validate the impact of reasonable pricing, brand reliability, product variety, comprehensive product information, and user-friendly interfaces on customers' decision to purchase products from online luxury stores. Research design, data and methodology: A survey was conducted with 101 participants, and data analysis included exploratory and confirmatory factor analysis, as well as covariance structure model analysis. Results: The findings reveal that brand trust, product variety, and information sufficiency significantly influence brand affect, which in turn influences purchase intention. Additionally, the study identifies that consumers prioritizing hedonic value are more influenced by brand trust and information, while those prioritizing utilitarian value are more responsive to factors like reasonable price, product variety, and ease of use. Conclusions: The study provides insights into the preferences and behaviors of the MZ generation, highlighting their digital proficiency, mobile-centric lifestyle, desire for product variety, price-consciousness, social media influence, and the availability of personalized shopping experiences as factors contributing to their preference for online luxury stores. These findings contribute to understanding consumer behavior and decision-making processes in the context of online luxury shopping.

• 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 Intelligence and Information Systems
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• v.25 no.1
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• pp.139-161
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• 2019

The utilization of the e-commerce market has become a common life style in today. It has become important part to know where and how to make reasonable purchases of good quality products for customers. This change in purchase psychology tends to make it difficult for customers to make purchasing decisions in vast amounts of information. In this case, the recommendation system has the effect of reducing the cost of information retrieval and improving the satisfaction by analyzing the purchasing behavior of the customer. Amazon and Netflix are considered to be the well-known examples of sales marketing using the recommendation system. In the case of Amazon, 60% of the recommendation is made by purchasing goods, and 35% of the sales increase was achieved. Netflix, on the other hand, found that 75% of movie recommendations were made using services. This personalization technique is considered to be one of the key strategies for one-to-one marketing that can be useful in online markets where salespeople do not exist. Recommendation techniques that are mainly used in recommendation systems today include collaborative filtering and content-based filtering. Furthermore, hybrid techniques and association rules that use these techniques in combination are also being used in various fields. Of these, collaborative filtering recommendation techniques are the most popular today. Collaborative filtering is a method of recommending products preferred by neighbors who have similar preferences or purchasing behavior, based on the assumption that users who have exhibited similar tendencies in purchasing or evaluating products in the past will have a similar tendency to other products. However, most of the existed systems are recommended only within the same category of products such as books and movies. This is because the recommendation system estimates the purchase satisfaction about new item which have never been bought yet using customer's purchase rating points of a similar commodity based on the transaction data. In addition, there is a problem about the reliability of purchase ratings used in the recommendation system. Reliability of customer purchase ratings is causing serious problems. In particular, 'Compensatory Review' refers to the intentional manipulation of a customer purchase rating by a company intervention. In fact, Amazon has been hard-pressed for these "compassionate reviews" since 2016 and has worked hard to reduce false information and increase credibility. The survey showed that the average rating for products with 'Compensated Review' was higher than those without 'Compensation Review'. And it turns out that 'Compensatory Review' is about 12 times less likely to give the lowest rating, and about 4 times less likely to leave a critical opinion. As such, customer purchase ratings are full of various noises. This problem is directly related to the performance of recommendation systems aimed at maximizing profits by attracting highly satisfied customers in most e-commerce transactions. In this study, we propose the possibility of using new indicators that can objectively substitute existing customer 's purchase ratings by using RFM multi-dimensional analysis technique to solve a series of problems. RFM multi-dimensional analysis technique is the most widely used analytical method in customer relationship management marketing(CRM), and is a data analysis method for selecting customers who are likely to purchase goods. As a result of verifying the actual purchase history data using the relevant index, the accuracy was as high as about 55%. This is a result of recommending a total of 4,386 different types of products that have never been bought before, thus the verification result means relatively high accuracy and utilization value. And this study suggests the possibility of general recommendation system that can be applied to various offline product data. If additional data is acquired in the future, the accuracy of the proposed recommendation system can be improved.

• Journal of the Korean Society of Costume
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• v.62 no.2
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• pp.103-121
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• 2012

The purpose of this study is to provide basic information to improve competitiveness of Korean fashion brands in the Chinese fashion market by taking photos of street styles in Seoul that is the hub of Korean fashion and in Dalian, the northeastern district where Korean fashion brands are launched as a test market China to compare and analyze the clothing colors preferred mostly by young women in their twenties and thirties who have the highest purchasing power. The study methods used literature review and empirical study simultaneously. Dalian and Seoul are two fashion cities in northeast of China and Korea where street fashion was photographed. Clothing colors that were mainly worn by young women in their twenties and thirties were qualitatively analyzed using the photos taken. Color analysis was based on the Munsell Color Order System to grasp general preferences of colors on the basis of previous researches, and color tones were based on the ISCC-NBS System. In order to grasp the basic materials on Seoul, the Korean fashion city and Dalian, the northeastern fashion city in China, street fashion styles of 2010/11 F/W season were compared and analyzed. As a result, black and deep tone PB color appeared most frequently. The vivid and strong tone of R, YR, Y color showed high frequency of clothing colors. For the top wear, women in both areas preferred similar tones in the YR color category and Dalian women preferred vivider and brighter S tones in the R color category. For the bottom wear, women in both areas highly preferred achromatic colors and colors in the PB color category. For bags, women in both areas preferred black and colors in the YR color category. Finally, for the shoes, while women in both areas preferred black in the achromatic color category, they showed different color preferences in the chromatic color category. R color categories were preferred by the women in Seoul and the YR color categories were preferred by the women in Dalian. Conclusively, women in both cities highly preferred achromatic colors especially black for the top and bottom wear, bags, and shoes. It may reflect their desire to look refined and slender through colors. Moreover, continuous and steady research on fashion trends in Seoul and Dalian may have positive effects on Korean fashion businesses that plan to be launched in China, the area of competition for global brands.

• Journal of Distribution Science
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• v.11 no.10
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• pp.5-15
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• 2013

Purpose - With the increase in fervor to purchase luxury brands, new social problems have arisen, such as excessive preoccupation with luxury brands and high preference for forged luxury goods. Therefore, the issues related to luxury brands, termed "Luxury Syndrome," have emerged as an area of great interest for researchers and practitioners. However, previous studies neglect to categorize this preference for luxury brands. Therefore, this study aims to identify the different purchasing behaviors of consumers using the types of luxury brands preferences as parameters. Research design, data, and methodology - This study arranges a causal relationship model assuming that purchase behaviors positively (+) affect typified preference for luxury brands and purchase intentions. We administered a questionnaire survey to the purchasers who bought luxury brands from department stores to secure additional data necessary to verify the hypotheses in this study. We then processed the data using SPSS 19.0. We further analyzed the basic data using frequency and descriptive statistical analysis, and verified the measurement tools through feasibility and reliability analyses. Moreover, this study uses multiple regression analysis to verify the hypotheses. Further, this study tests the path effect between luxury brand purchase attitude and purchase behavior, with non-intrinsic preference and intrinsic preference as the mediating variables. Results - Based on the results, the impact of tendencies of conspicuous consumption and self-monitoring on non-intrinsic preference was significantly positive (+), while the impact of tendencies of pursuit of a reference group, conspicuous consumption, and self-monitoring on intrinsic preference and purchase intentions was significantly positive (+). Further, non-intrinsic and intrinsic preferences positively (+) influence purchase intentions and the impact of non-intrinsic preference took an absolute portion. However, the tendency of dependence on brands negatively (-) impacts purchase intentions. The results showed that self-monitoring and conspicuous consumption tendencies have greater effect on purchase intention, which is mediated by non-intrinsic preference. In contrast, reference group following tendency has a greater effect on purchase intention, which is mediated by intrinsic preference. Conclusions - Based on the results, the study verifies that the consumption of luxury brands in Korea has not yet entered the settling period. The tendency for conspicuous consumption and the tendency for pursuit of the reference group were relatively important aspects for the consumers who prefer luxury brands non-intrinsically and intrinsically, respectively. Especially, it was found that the purchase intentions for forged brands originate from the tendency to depend on brands. Based on these findings, this study suggests the measures to develop and mature the luxury brands market, and reinforce marketing performance at the three levels, that is, government, distributors, and manufacturers. The luxury brands manufacturers should devote themselves to the production and design of products to catch the attention of mature consumers of luxury brands. The luxury brands distributors should then raise the level of Customer Relationship Management (CRM) for opinion leaders. Finally, the Government should prepare effective policies for the development of luxury brands and provide a variety of economic support.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.9
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• pp.1479-1490
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• 2010

This study provides basic data for the development of jacket patterns which reflect designs corresponding to the body shape features and preferences of obese women in their 20s and 30s by understanding problems they may encounter in wearing a ready-made jacket by researching the reality of ready-made tailored jacket wearing and their design preferences. A survey was conducted by sampling 82 obese women (over $25kg/m^2$ BMI) between the ages of 20 to 39. The details of the survey consists of general information, interest rate and importance rate on clothes, reality of wearing and purchasing jackets, measurement fits per each part, and preferred designs. SPSS 14.0 was used to analyze the data. The results showed that 76.8% of obese women wore their jackets less than 5 times a month. Those in the 20s wore the jackets more frequently than those in the 30s. The reasons for not wearing jackets frequently included uncomfortableness in activities and unavailability of the correct size. A total of 55% of the total preferred the fitting to be relatively smaller than the body size or tightly fitting. Although in the past, there was a tendency to wear a loose fit to cover the body shape, currently even obese body shapes avoided the loose fit as the tight fit is the trend. In terms of the satisfaction rate for the measurements per each part of jackets, there was a low satisfaction rate for most of the items. For the circumference items such as waist length and chest size, people responded that they were too small and for the length of items such as the length of jacket and sleeve length, people responded that they were too long. This was because the readymade clothes brands increase the length of items and circumference items in uniform in the same intervals when producing large sizes. Both those in the 20s and the 30s preferred a tight fit. In terms of preferred fabric, a wool/spandex mix was most popular and then cotton/spandex. This shows that they prefer those fabrics which allow an excellent activity while maintaining the exterior well. In addition, they preferred black color with no patterns because they wanted their body size to look reduced and did not want to receive any attention.

• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.2
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• pp.276-287
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• 2009

Apparel professionals need to understand the customer to effectively develop, select, and promote apparel products. Analysis of consumer preferences can help in the creative design process. Therefore the purpose of this study was to identify consumer preference by gender in two segmented group; $20{\sim}34$ aged group and $35{\sim}49$ aged group toward men's apparel consumers, considering target customers and female influences on men's wear purchasing. We used questionnaires that were distributed to 600 males and females aged in their 20s to 40s, using stratified sampling method. Only 547 reliable questionnaires were selected for statistical analysis. Chi-Square and t-test were used to analyze the data, using SPSS program. We obtained the following results: 1. We found that there was a significant association between segmented age group and the preference of men's jacket style. Specially $20{\sim}34$ aged group had a significant association with styles of formal jacket, casual t-shirts, casual pants, but $35{\sim}49$ aged group had formal pants style. Looking at the general percentage, semi-formal jacket, slim fit t shirt, straight casual pants were the most favored styles. 2. Age has an significant effect on the preferences of formal menswear fabric patterns and shirt patterns. The results of t-test showed that there found to be significant by gender in character and check pattern of shirts. 3. In design details, the number of button had not significance by gender, and 2 buttons was th most favored by both age groups. The number of gather at the waist had an significant association in $34{\sim}49$ age group. $20{\sim}34$ age group prefer high waist of pants, while $35{\sim}49$ age group prefer low waist of pants. 4. For on time outfit, formal wear and tie ensemble was the most favored with significant difference by age and gender. Formal wear and no tie ensemble favored by about one third of respondents, and more favored by the younger group. For off time outfit, casual jacket and casual pants ensemble was the most favored.