• Proceedings of the Korean Society for Quality Management Conference
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• 2004.04a
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• pp.25-30
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• 2004

This study analyzes a change and an effect that brand image gets in product choose. Purpose of this study present the suggestion under the influence of degree that brand image gets in product purchase to cosmetic customer. Consumers investigate the product or trademark when purchase goods. They purchase goods through the comparison and analysis and evaluate the satisfaction and dissatisfaction with the contentment. Consumers complicate while compare the products and the consumer's choose the products. The purpose of this study is find various requirement of consumers and present efficient marketing activity through theoretical verification and actual proof analysis.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.3
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• pp.98-105
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• 2021

The sensory stimulation of a cosmetic product has been deemed to be an ancillary aspect until a decade ago. That point of view has drastically changed on different levels in just a decade. Nowadays cosmetic formulators should unavoidably meet the needs of consumers who want sensory satisfaction, although they do not have much time for new product development. The selection of new products from candidate products largely depend on the panel of human sensory experts. As new product development cycle time decreases, the formulators wanted to find systematic tools that are required to filter candidate products into a short list. Traditional statistical analysis on most physical property tests for the products including tribology tests and rheology tests, do not give any sound foundation for filtering candidate products. In this paper, we suggest a deep learning-based analysis method to identify hand cream products by raw electric signals from tribological sliding test. We compare the result of the deep learning-based method using raw data as input with the results of several machine learning-based analysis methods using manually extracted features as input. Among them, ResNet that is a deep learning model proved to be the best method to identify hand cream used in the test. According to our search in the scientific reported papers, this is the first attempt for predicting test cosmetic product with only raw time-series friction data without any manual feature extraction. Automatic product identification capability without manually extracted features can be used to narrow down the list of the newly developed candidate products.

• Journal of Digital Convergence
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• v.18 no.3
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• pp.71-81
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• 2020

This study the effects of cosmetic product manufacturing and sales companies and manufacturing companies' reputation and product types to the customers on the perceived product quality. For this study purpose, the experiments were conducted targeting 8 groups using 2 × 2 × 2 factor design. Regarding the study results, first, the manufacturing and sales companies and manufacturing companies with higher reputation showed higher perceived product quality than the companies with lower reputation. Second, the reputation of manufacturing and sales companies and manufacturing companies was identified to have interactive effects on perceived product quality. Third, manufacturing and sales companies and product types have interactive effects on perceived product quality. Finally, manufacturing companies and product types have interactive effects on perceived product quality. This study results can provide valuable information for product manufacturing for manufacturing companies and marketing strategy planning for manufacturing and sales companies.

• Journal of the Society of Cosmetic Scientists of Korea
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• v.32 no.1 s.55
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• pp.1-6
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• 2006

Through mapping the HS code to category of Korean legal system, Korean cosmetic market in 2004 was as fellow; domestic demand size (=production-export+import) is 3,272 billion Won that was decreased 5.6% compared with previous year. The sum of production and import of cosmetics are decreased 0.6% and 4.4%, respectively, compared to last you, but that of import is increased 55.7% dramatically. Among the export items, the amounts of shaving and hair treatment exhibit high growth rates. The fragrances, hair dye and make-up products show huge negative growth rates, but baby product and nail care grow positively in domestic demand records. Market share of imported product is overall 17.8%. Fragrances, hair dye and bath product share large market, respectively.

• Journal of the Society of Cosmetic Scientists of Korea
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• v.32 no.4 s.59
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• pp.269-282
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• 2006

In this study, we tried to scrutinize the status and problems of domestic cosmetics industry. On the basis of theoretical study, we examined the strategic marketing skill and tactics of foreign products to devise a strategy for domestic cosmetics with the help of marketing mix of foreign competitors: so to say 4 Ps. The core of the empirical research is hereby the effect of consumers' behavior. The conclusion of the research can be summarized as following: the most important problem of domestic cosmetics industry is the poor brand power. It has been confirmed that the consumer needs are various and dynamic. Analysis of 4 Ps of marketing factors of foreign goods shows this very clearly. Consumers tend to rely upon the brand name of the product rather than the quality, when they don't have enough information or knowledge on the product. This conclusion teaches us to make an effective strategy of marketing. It is brand power and brand cultivating. This study may give domestic marketers a motive to predict the future and succeed in existence and prosperity.

• Food Industry And Nutrition
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• v.21 no.1
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• pp.19-21
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• 2016

• The monthly packaging world
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• s.328
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• pp.88-95
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• 2020

• Proceedings of the SCSK Conference
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• 1993.04a
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• pp.1-1
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• 1993

The cosmetic industry is dynamic, ever changing. New product are constantly evolved, old and obsolete products are replaced as the industry adopts to an ever changing market. Cosmetics are products 1the society. They often reflect the changing needs, values, and the lifestyles of the people and serve as an indicator of the political climate and economic state of a nation. Thus, it is likely the recent change in 11head of the U.S. government will strongly impact the cosmetic industry. The United States is the world`s largest market for cosmetics and toiletries, Many U.S. cosmetic and toiletry manufacturers, such as P & G, Colgate, Avon, Revlon and Estee Lauder, market their Products worldwide. Consequently, what happens in the U.S. often, sooner or later, affect markets and industries in other parts of the world. Frequently, changes that occur first in the U.S. with subsequently take place in other nations within a few years. The success and failure of the new economic policies of the Clinton Administration and the expected tightening of government regulations on environmental protection, and consumer protection will undoubtedly affect the industry. Possible changes in foreign policy will not only affect U.S. companies but also cosmetic manufacturers in other nations. This lecture will focus on possible changes in the cosmetic industry in America and how they will impact on Korea and foreign companies doing business in United States. It will also review important changes in federal and state regulations. New marketing trends, new raw materials and successful new products will be discussed.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2005.11a
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• pp.271-275
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• 2005

In this research, we propose a Unified Fuzzy rule-based knowledge Inference Systems UFIS) to help the expert in cosmetic brand detection. Users' preferred cosmetic product detection is very important in the level of CRM. To this Purpose, many corporations trying to develop an efficient data mining tool. In this study, we develop a prototype fuzzy rule detection and inference system. The framework used in this development is mainly based on two different mechanisms such as fuzzy rule extraction and RDB (Relational DB)-based fuzzy rule inference. First, fuzzy clustering and fuzzy rule extraction deal with the presence of the knowledge in data base and its value is presented with a value between $0\∼1$. Second, RDB and SQL(Structured Query Language)-based fuzzy rule inference mechanism provide more flexibility in knowledge management than conventional non-fuzzy value-based KMS(Knowledge Management Systems)

• Journal of Distribution Science
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• v.13 no.6
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• pp.45-70
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• 2015

Purpose - This study's purpose is to examine the effects of the country-of-origin antecedents on overall attitudes and the impact of overall attitudes on satisfaction and loyalty. Research design, data, and methodology - This study provides useful insights into international female purchasing behavior in the cosmetic industry in South Korea. This study explores the elements of country-of-origin antecedents, (cultural interest, perception of brand image, perception of fashion, perception of product quality, perception of price, and perception of advertising), on overall attitudes as well as the effect of overall attitudes on satisfaction and loyalty. Results - The results show that the effects of such antecedents are significant. Additionally, the effect of overall attitudes on satisfaction and of satisfaction on loyalty were significant. Conclusions - The findings of this study provide some important practical implications. First, with customer brand awareness growing along with products standards, considering the concepts points of parities and points of differences, the Korean cosmetic industry should try to establish brand associations with natural organic ingredients in its cosmetic items, distinguishing them from the majority of non-Korean brands.