• Korean Journal of Human Ecology
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• v.16 no.1
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• pp.89-101
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• 2007

This study deals with classification of various approaches regarding consumer experience, core characteristics, and contribution of experiential marketing. This study classifies seven approaches regarding consumer experience into 4 broad views (1)experience as experiential brand concept, 2)experience as a behavior, 3)experience as a behavior focusing on an affect, 4)experience as a holistic experience. Each of these 4 views of experience as well as the seven approaches is further explained in details. Five core characteristics of experiential marketing are suggested: l)forming a deep relationship between a customer and a brand, 2)being related to personal final values, 3)holistic experience with a brand, 4)fun, pleasure, and immersion, and 5)keeping customers through customer satisfaction and giving impression to a customer. Five propositions based on these core characteristics are suggested. The contribution of experiential marketing is suggested.

• Genomics & Informatics
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• v.12 no.4
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• pp.151-155
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• 2014

In November 2013, the US Food and Drug Administration (FDA) sent a warning letter to 23andMe, Inc. and ordered the company to discontinue marketing of the 23andMe Personal Genome Service (PGS) until it receives FDA marketing authorization for the device. The FDA considers the PGS as an unclassified medical device, which requires premarket approval or de novo classification. Opponents of the FDA's action expressed their concerns, saying that the FDA is overcautious and paternalistic, which violates consumers' rights and might stifle the consumer genomics field itself, and insisted that the agency should not restrict direct-to-consumer (DTC) genomic testing without empirical evidence of harm. Proponents support the agency's action as protection of consumers from potentially invalid and almost useless information. This action was also significant, since it reflected the FDA's attitude towards medical application of next-generation sequencing techniques. In this review, we followed up on the FDA-23andMe incident and evaluated the problems and prospects for DTC genetic testing.

• Journal of the Korean housing association
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• v.24 no.2
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• pp.11-24
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• 2013

Sustainable development has been praised as important new planning paradigm. The concept is being increasingly used in planning processes to address environmental, social and economic sustainable development. The social sustainability is important as community in modern life. The purpose of this study is to find out the community elements of sustainable housing to make it better life in residential environment. The Methods are content analysis and experts survey. We execute the literature for method to find the importance and indicator of social sustainability. We execute the experts survey to find the adequacy of the classification criteria, the adequacy of the indicators and the adequacy of the classification system. The findings of this study are as following; the social sustainability is important to support the sustainable housing planning. The indicator of the social sustainability is deduced; 'Locality' are deduced 'Native support', 'History and culture' and 'Reflected the local characteristics'. 'Communality' are deduced 'Citizen participation', 'Social integration', 'Community space and facilities' and 'community activities and programs'. 'Organic' are deduced 'Employment', 'Self-sufficiency', 'Safety and convenience', 'Infrastructure and service' and 'Housing condition'.

• Korean Journal of Agricultural Science
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• v.38 no.3
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• pp.571-581
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• 2011

This study develops a mid-term preceding observation model of radish to complement an existing short-term agricultural observation model. The first purpose of the study is to extend a three seasonal classification(spring, summer, fall) of fruit-vegetables to a four seasonal classification that involves the winter additionally. This allows us to verify the reason for demand and supply unbalance and unstable price of radish. The second purpose is to construct a mid-term preceding observation model that would be used to forecast planted areas, output, monthly shipment and price. To achieve these purposes, several multiple regression models are estimated. A system is consisted of a planted areas equation, a yield equation, monthly shipment distribution equation, and monthly price equation. To calculate output an auxiliary equation is involved in the system and the consumer price index etc are considered as exogenous variables.

• Journal of Environmental Health Sciences
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• v.49 no.6
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• pp.305-311
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• 2023

Background: The National Institute of Environmental Research (NIER)'s classification of and airborne fraction ratio for consumer chemical products (CCP) does not reflect the characteristics of various product classifications. Objectives: The purpose of this study was to reclassify the types of spray products according to the diverse spray characteristics of CCPs to evaluate the airborne fraction ratio of representative spray types and to compare them with previous CCPs types and airborne fraction ratios. Methods: One thousand seven hundred two products were selected through market research, and 932 newly reported products were selected. After that, 200 were selected to evaluate products with potential inhalation exposure. After classifying six product types that are expected to show differences in the airborne fraction ratio according to the type of product, a final 38 products were selected for use in the airborne fraction ratio through random sampling. Results: CCP has been reclassified from two to six types so that the characteristics of all products are well-reflected. The NIER simply had two airborne fraction ratios, but the results of experiments with six types of products showed a significant difference in values (p<0.01). Airborne fraction ratios of propellant general foam, pump general aerosol, and pump trigger foam in spray type, which were not previously present in NIER, were 7.1%, 24.4%, and 3.5%, respectively. Conclusions: For the diversified types of CCPs, the newly proposed classification was more appropriate than the existing NIER classification. The airborne fraction ratio was also different for each type, so a new value was suggested.

• Journal of Digital Convergence
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• v.16 no.9
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• pp.159-172
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• 2018

This study searched and analyzed online tracking technologies. It tried to understand what to consider when establishing policies related to online tracking. Online tracking technologies were classified into 'general cookies', 'super cookies', 'fingerprinting', 'device ID tracking' and 'cross-device tracking'. Political considerations should include the layers of online tracking, the subjects of tracking technology, purpose of use, duration and storage format of information, and development of technology. The implications of this study are as follows: first, policy makers and industry should be aware that the degree of risk perceived by users may vary according to the characteristics of online tracking technology. Secondly, it is necessary to understand factors that affect the classification of online tracking technology. Finally, in the industry, preemptive measures such as building an integrated privacy system are needed to relieve anxiety of users and to build trust.

• Journal of the Korea Fashion and Costume Design Association
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• v.18 no.2
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• pp.177-190
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• 2016

On-line consumer reviews are good references for consumers to evaluate and buy apparel products. The objective of this study is to facilitate communication about performance textiles between consumers and merchandisers who buy and sell apparel products on online. The survey was based on standardizing words used in consumer reviews written after purchase of summer knit t-shirts at internet shopping mall and evaluating the performance textiles including cellulose fibers. We collected reviews of five sorts of the clothing products including cotton/modal, tencel/polyurethane, polyester/rayon, linen, cotton and selected 1000 reviews related to textiles. For classifying each word used in the reviews by the performance textiles, they were quantified applying same standards. The results were as follow: First, the standard for consumer to consider importantly was tactile sensation, appearance, pilling, thickness, dimensional stability in washing. Second, the important category of performance textiles was healthy-comfort and psychological-comfort. Third, there were difference performance textiles for consumer to recognize, e.g. cotton/modal was important to air-permeability, tencel/polyurethane was noticed about tactile sensation, polyester/rayon was perceived about pilling unlike other things, linen had a problem of clothing care-convenience, then cotton was familiar fiber to important for appearance. The last, consumers usually focused on writing the most positive or negative online reviews. Although not familiar with professional terminologies, consumers are sensitive to physical properties of textiles. Therefore, standardizing and evaluating performance textiles are expected to improve satisfaction as providing objective information to consumers considering in buying apparel products at online shopping mall and increase in revenue to manufacturer.

• Journal of Radiation Industry
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• v.9 no.1
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• pp.29-35
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• 2015

Radiation technology is the one for developing new products or processes by applying radiation or for creating new functions in industry, research and medical fields, and its application is increasing consistently. For securing an advanced technology competitiveness, it is required to create a new added value by information consumer through providing an efficient system for supporting information, which is the infrastructure for research and development, contributed to its collection, analysis and use with a rapidity and structure in addition to some direct research and development. Provision of the management structure for information resources is especially crucial for efficient operating the system for supporting information in radiation technology, and then a standard classification structure of information must be first developed as the system for supporting information will be constructed. The standard classification structure has been analyzed by reviewing the definition of information resources in radiation technology, and those classification structures in similar systems operated by institute in radiation and other scientific fields. And, a draft version of the standard classification structure has been then provided as 7 large, 25 medium and 71 small classifications, respectively. The standard classification structure in radiation technology will be developed in 2015 through reviewing this draft version and experts' opinion. Finally, developed classification structure will be applied to the system for supporting information by considering the plan for constructing this system and database, and requirements for designing the system. Furthermore, this structure will be designed in the system for searching information by working to the individual need of information consumers.

• Smart Media Journal
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• v.13 no.6
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• pp.44-53
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• 2024

Companies in modern society are increasingly recognizing sentiment classification as a crucial task, emphasizing the importance of accurately understanding consumer opinions opinions across various platforms such as social media, product reviews, and customer feedback for competitive success. Extensive research is being conducted on sentiment classification as it helps improve products or services by identifying the diverse opinions and emotions of consumers. In sentiment classification, fine-tuning with large-scale datasets and pre-trained language models is essential for enhancing performance. Recent advancements in artificial intelligence have led to high-performing sentiment classification models, with the ELECTRA model standing out due to its efficient learning methods and minimal computing resource requirements. Therefore, this paper proposes a method to enhance sentiment classification performance through efficient fine-tuning of various datasets using the KoELECTRA model, specifically trained for Korean.

• Journal of Fashion Business
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• v.22 no.3
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• pp.122-142
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• 2018

In the virtual fitting system, the use of a 3D avatar is not a simple garment model, but it should be able to reproduce the size and shape of the customer using a fitting system. Although various virtual fitting systems have their own 3D avatar sizing systems and provide 3D avatars that match the size of the customer, there are limitations in realizing the actual body shape in actual use by the consumer. The purpose of this study is to realize a 3D avatar with excellent size and conformity for customer use. Therefore, this study aims to provide basic data for the formation of a 3D standard avatar of Korean women aged in their 20's, by comparing and analyzing the degree of the consumer user friendly system change of a body type, and the consumer's ability in selecting a consumer representative body type. Based on the survey data of 'Size Korea' conducted from 2004 to 2015 at three times, we examined the change of body shape over 10 years. Then, based on the results of 6th and 7th data, 4 factors of the concurrent body shape change of women of the consumer demographic studied were selected through the use of a factor analysis. Following this analysis, the 4 extracted factors were clustered again and finally released 7 representative body types, which were obtained based on height and weight. The size of each representative figure is derived by the use of a regression analysis, and it is used as a basic data for 3D avatar formation of the virtual fitting system.