• Journal of Fashion Business
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• v.19 no.5
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• pp.139-156
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• 2015

The purpose of this study is to investigate various information relating to research on the dimensions of clothing used in the sale of products via the internet that used to target global SPA((Specialty Store Retailer of Private Label Apparel) brands sold in Korea. A total of 12 SPA brands including seven global SPA brands and five national. SPA brands were surveyed in this study. Brands were chosen net sales and consumer preferences the last three years. In all SPA brands, literal size designation such as S, M, L and numeric size designation such as 0, 2, 4 or 32, 34, 36 etc. were mixed, but in case of Jean, the size codes mark waist circumference were dominant. European size codes were more common in case of European brands while literal codes were more dominantly used for American size codes with in the US brands. By reviewing the measurement information of the body and product size, the product measurement methods of UNIQLO, FOREVER 21 and TOPTEN were much more accountable and excellent than other brands. However, most of the others didn't offer proper information such as pictograms or figures about measurement methods relating body sizes and product sizes. In addition, most of global SPA brands offered size conversion chart which consumers could reference, however of none of the national SPA brands offered a conversion size chart on their website. Regardless of the type of clothing, the coverage of clothing size was higher than in global SPA brands such as H&M GAP compared to national SPA brands. In particular, 8seconds did not present apparel size ranges that fit consumers' individual clothes sizes.

• Journal of the Korean Society of Food Culture
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• v.34 no.5
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• pp.595-603
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• 2019

This paper provides data for product development and improvement of grape varieties by analyzing the satisfaction-importance of the grape selection attributes from a consumer's perspective. A survey was conducted on consumers aged 19-59 living in Seoul, Gyeonggi and Incheon on their fruit consumption level, preferences according to the grape quality characteristics, importance, and satisfaction with the grape selection attributes. Three hundred and eighty two valid samples were collected and analyzed statistically using SPSS 23. In the preference according to the grape quality characteristics, consumers tended to prefer a sweet taste, black color, and seedless grapes. Regarding the importance of the grape selection attributes according to the level of grape consumption, the high consumption group considers texture, size, shape, color, ease of removing seeds, country of origin, area of production, certification, and brand to be more important. In satisfaction, the high consumption group rated satisfaction highly in texture, odor, size, shape, color, ease of removing peelings, ease of removing seeds, price, country of origin, area of production, certification, and brand. An analysis of the IPA of the grape selection attributes showed that improvement of price and shape attributes will be prioritized, and the development and management of properties, such as seeds, peelings, certification, and brand will be required. These results can be used to help improve the grape varieties and develop products that meet the consumer needs, secure the competitiveness of grape farmers, and revitalize the local economy.

• Journal of the Korea Society of Computer and Information
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• v.25 no.6
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• pp.81-89
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• 2020

Online reviews we encounter commonly on SNS, although a complex range of assessment information affecting the consumer's preferences are included, it is general that such information is just provided by simple numbers or star ratings. Based on those review types, it is not easy to get specific information that consumers want and use it to make a decision for purchase. Therefore, in this study, we propose a prediction methodology that can provide ratings broken down by evaluation items by performing sentiment analysis on restaurant reviews written in Korean. To this end, we select 'food', 'price', 'service', and 'atmosphere' as the main evaluation items of restaurants, and build a new sentiment dictionary for each evaluation item. It also classifies review sentences by rating item, predicts granular ratings through sentiment analysis, and provides additional information that consumers can use to make decisions. Finally, using MAE and RMSE as evaluation indicators it shows that the rating prediction accuracy of the proposed methodology has been improved than previous studies and presents the use case of proposed methodology.

• Environmental and Resource Economics Review
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• v.27 no.4
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• pp.695-723
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• 2018

Recently, extreme weather due to climate change has become more frequent, and increase of fine dust has worsen air quality in Korea. Therefore, not only negative perception on coal-fired power generation is dominant, but also the social acceptance of nuclear power generation declines. This study aims at deriving consumer preferences on the mid and long term power mix with various energy sources. Willingness to pay for each generation source was estimated and the preference heterogeneity of consumers was examined by using mixed logit and latent class models. Mixed logit estimation results show that the preference heterogeneity of consumers is especially large for the nuclear power relative to renewable or coal energy. According to the estimation results from the latent class model, group 1 prefers renewable energy while group 2 prefers coal energy. Group 3 shows lexicographic preference which means restricted rationality. As for the policy implication, it is necessary to understand the preference heterogeneity of consumer groups in planning the mid to long term power mix.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.9
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• pp.1293-1304
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• 2022

The personalization recommendation system means analyzing each individual's interests or preferences and recommending information or products accordingly. These personalized recommendations can reduce the time consumers spend searching for information by accessing the products they need more quickly, and companies can increase corporate profits by recommending appropriate products that meet their needs. In this study, products are recommended to consumers using collaborative filtering, matrix factorization, and deep learning, which are representative personalization recommendation techniques. To this end, the data set after purchasing shopping mall products, which is raw data, is pre-processed in the form of transmitting the data set to the input of the recommended system, and the pre-processed data set is analyzed from various angles. In addition, each model performs verification and performance comparison on the recommended results, and explores the model with optimal performance, suggesting which model should be used when building the recommendation system at the mall.

• Electronics and Telecommunications Trends
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• v.37 no.3
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• pp.74-84
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• 2022

The Korean mobile service market has persistently grown with the number of subscribers and volume of mobile traffic. It shows the slow diffusion of 5G subscribers, and rapid growth of both the MVNO(Mobile Virtual Network Operator) market and unlocked mobile phones. Therefore, this study derives the direction of telcos' strategies and policy implications by empirically analyzing the usage and attitude of LTE and 5G subscribers. Our major findings are as follows: First, our current mobile service subscription market constitutes most long-term customers for their incumbent carriers only by device change from lock-in with bundle services. Mobile tariffs, data speed, and benefits of bundle services are important factors affecting choices and customers' satisfaction with a provider and intentions of churning to another. Second, demand and satisfaction for using 5G are less because speeds and service tariffs act as pain points for 5G services. Third, the users' high preferences for MVNOs and unlocked mobile phones are linked to their subscription to MVNOs' low-cost plans with unlocked mobile phones on online channels. These streams lead to a big change in the market competition that MNO(Mobile Network Operator)s' market shares are expected to decrease and MVNOs' shares will be increased by two times, in the near future. Therefore, MNOs need to change their distribution strategies from offline to online channels and try to resolve the stereotype, "mobile tariffs are expensive," by enhancing their service values. Finally, as consumers prefer one-stop service in the same channel regardless of the distribution channel, policies should focus on the consumers' needs for convenience rather than on the channel separation for perfectly unlocked mobile phones.

• The Research Journal of the Costume Culture
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• v.30 no.4
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• pp.548-562
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• 2022

We conducted this study to determine the TikTok usage status of Chinese consumers, and the effect of fashion advertisement type preference and TikTok characteristics on fashion product purchase intentions. For this study, we conducted a literature review and survey method. The following conclusions were drawn by collecting data online and performing statistical analysis. Firstly, the period of use was 2 - 4 years, and 95.1% of people used it for 2 - 3 hours a day, and 95.1% of the people had a purchasing experience on TikTok. Secondly, the most people were interested in self creating and editing videos in TikTok. With regards to TikTok content, groups aged 30 are significantly more interested in fashion coordination suggestions and influencer' recommendations than groups aged 20. Thirdly, this study found that the characteristics of TikTok fashion advertisements significantly influenced purchase intention. Among the characteristics of fashion advertisements, this study conclude that the "fashion entertainment" characteristic factor that fashion advertisements are fun and entertaining was the most influential variable on purchase intention, followed by useful information, reliability, and interactivity related to fashion. Fourthly, the types of preferred TikTok fashion advertising had a statistically significant effect on product purchase intention. The influential types of preferred advertising are top view, live advertisement, hashtag challenge, in-feed ads, and sticker ads.

• Asia Marketing Journal
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• v.14 no.4
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• pp.35-56
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• 2013

The era of globalization provides us with both opportunities and threats. The success of a multinational corporation depends largely on its ability to adapt itself to new market environment. We believe that understanding and implementing multicultural PR strategy can be a key to the multinational corporations' success in foreign markets. We argue in this paper that even a global iconic company such as Google needs to focus on how to understand local consumers' needs and preferences before formulating and implementing PR strategy. Having a global hit product or service is not sufficient enough to be successful in some foreign markets. It is especially more evident in the industries where companies deal with individual consumers, and perceptions and sentiments play a large role in their purchase decisions. The objective of this research is to find out the relationship between multicultural PR strategy and business performance. Therefore, our main hypothesis is; better implementation of multicultural PR strategy by a multinational corporation will result in higher performance in the foreign markets. To prove the relationship between multicultural PR strategy and performance, we designed a framework that uses Rudan's (2004) five rules for multicultural PR strategy. It is a contribution to the business academics as there are very few studies that directly focus on and analyze the multicultural aspects of a multinational company's PR strategy. Through our research, we found strong evidence that there is a positive relationship between the level and effectiveness of a company's multicultural PR strategy and its performance in the foreign markets. This offers some meaningful implications to the managers of the multinational corporations and those who are considering going into a foreign market for the first time. We also suggested a way of measuring the implementation of multicultural PR strategy. By applying five rules for multicultural PR strategy to Google's PR activities, it allowed us to convert qualitative information into quantitative data. This kind of tool can be helpful for multinational corporations that want to evaluate their own PR activities.

• Journal of the Korean Society of Food Culture
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• v.38 no.6
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• pp.415-424
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• 2023

This study was undertaken to provide basic data to aid product development and marketing by identifying purchasing behaviors and performing Important Performance Analysis (IPA) according to the consumption values of rice cakes. This study was conducted on 426 consumers who purchased rice cakes. Analysis was performed to determine general characteristics, consumption behaviors, preference for rice cakes, material preferences for rice cake development, need for rice cake development, and importance and satisfaction when selecting rice cakes. Cluster analysis classified consumption values into three clusters. The high and middle consumption value groups contained the greatest proportions of consumers aged over fifty. The high and medium consumption value groups preferred rice cakes more than the low consumption value group. Higher rice cake consumption value was positively associated with the greater preference for rice cakes. Furthermore, the perceived need to develop rice cakes was greatest in the high consumption value group. In addition, importance and satisfaction were positively associated with consumption value. IPA analysis showed that the attributes that require continuous attention because of their contributions to importance and satisfaction were taste, quantity, and hygiene. Different rice cake marketing and product development strategies are required for different consumption values.

• Fashion & Textile Research Journal
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• v.26 no.1
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• pp.25-34
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• 2024

This study investigates consumer awareness and concerns regarding apparel sizing in the realm of online shopping. A survey was conducted with 450 women aged 18-59 who had engaged in online clothing purchases within the past year. It was observed that consumers shop for clothes online an average of 1.6 times per month, with those under 50 shopping more frequently. The importance of size is higher when buying pants than jackets, especially in online shopping compared to offline purchases. Key references guiding online shopping decisions encompassed product sizing codes, customer reviews, and garment dimensions, which were notably favored by consumers with significant concerns. Respondents opted for Korean-style sizing codes for jackets but chose inch-sizing codes for pants. While awareness of height and weight remains high, knowledge of specific body measurements crucial for clothing size design is lacking, suggesting inadequate communication of size information. Respondents prioritized specific areas for jacket and pants fit, yet the lack of comprehensive self-measurements beyond height and weight might present challenges in determining fit based solely on product dimensions. To address this issue, online retailers should display essential garment dimensions and visually suggest clothing sizes according to various body types. These findings provide valuable insights for online retailers to effectively present size information and lay a foundational framework for consumer size education.