• Journal of the Korea Academia-Industrial cooperation Society
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• 제18권8호
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• pp.88-98
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• 2017

The purpose of this study is to investigate the effect of product selection of hospital workers cosmeceutical cosmetics on marketing communication among hospital workers who use cosmeceutical cosmetics that have emerged in line with the recent growing medical skin care field.Coping with complaints from consumers who buy cosmeceutical cosmetics in hospitals where cosmeceutical cosmetics are mainly used and sold, and minimizing the influence of negative issues will potentially strengthen consumer relationships. The study was conducted on 520 hospital workers who use cosmeceutical cosmetics in hospitals (dermatology, plastic surgery, women's clinic, and other hospitals) in Seoul, Gyeonggi and Incheon. A total of 502 questionnaires were used for the final analysis. The data analysis consisted of Cronbach's alpha, one-way ANOVA, exploratory factor analysis and Duncan test. Correlation analysis was performed to investigate the correlation between variables, and regression analysis was conducted to test hypotheses. The study results revealed that when choosing cosmetic cosmetics, marketing communication is influential. Especially, product value, quality, and price factors strongly affect marketing communication. This shows that we value the product and quality the most and we want a reasonable price. Considering this, we will pursue differentiated products only from cosmeceutical cosmetics and provide them as basic data necessary for securing potential customers and increasing the sales of cosmeceutical cosmetics in accordance with the changing trends.

• Journal of the Korea Academia-Industrial cooperation Society
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• 제20권10호
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• pp.76-91
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• 2019

There have been many studies to examine the patterns in innovations reflecting industry-specific characteristics from an evolutionary economics perspective. The purpose of this study is to identify industry-specific differences in product innovation patterns and determinants of innovation performance. For this, Korean manufacturing is classified into high-tech industries and low-tech industries according to technology intensity. It is also pointed out that existing research does not reflect the decision-making process of firms' R&D implementations. In order to solve this problem, this study presents a Heckman sample selection model and a double-hurdle model as alternatives, and analyzes data from 1,637 firms in the 2014 Survey on Technology of SMEs. As a result, it was confirmed that the determinants and patterns of manufacturing in small and medium-size enterprise (SME) product innovation are significantly different between high-tech and low-tech industries. Also, through an extended empirical model, we found that there exist a sample selection bias and a hurdle-like threshold in the decision-making process. In this study, the industry-specific features and patterns of product innovation are examined from a multi-sided perspective, and it is meaningful that the decision-making process for manufacturing SMEs' R&D performance can be better understood.

• The Journal of the Korea Contents Association
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• 제21권1호
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• pp.258-267
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• 2021

This study attempted an empirical analysis study on the Meal Kit Product, whose interest and demand continued to increase according to the eating out trend in the Untact era. In addition, this study attempted to investigate the relationship between the factors of Home Meal Replacement Meal Kit Product Selection Attributes, Consumers Satisfaction, and Other Recommendation Intention. Convenience sampling was used for consumers with experience in using Meal Kit Products released by food service companies and start-up companies. The investigation period was conducted for about one month from July 01, 2020, and the final 285 copies were used for analysis. The SPSS 21.0 statistical package program was used to verify the hypothesis. As a result of the analysis, the price (β=.241), convenience (β=.317), and diversity (β=.191) of Hypothesis 1 had a significant effect on Consumers Satisfaction. Price (β=.482), convenience (β=.133), and diversity (β=.342) were found to have a significant effect on the intention to recommend others. It was analyzed that Hypothesis 3's Consumers Satisfaction (β=.443) had a significant effect on Other Recommendation Intention. Finally, through this study, we expect to be provided as basic research data related to Meal Kit Product. It is intended to be presented as a theoretical basis for the use of marketing and direction for the development of milk kit products for catering companies and restaurants.

• The KIPS Transactions:PartD
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• 제13D권2호
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• pp.279-286
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• 2006

One of the widely used methods for product recommendation in Internet storefronts is matching product features against target customer profiles. When using this method, it's very important to choose a suitable subset of features for recommendation efficiency and performance, which, however, has not been rigorously researched so far. In this paper, we utilize a dataset collected from a virtual shopping experiment in a Korean Internet book shopping mall to compare several popular methods from other disciplines for selecting features for product recommendation: the vector-space model, TFIDF(Term Frequency-Inverse Document Frequency), the mutual information method, and the singular value decomposition(SVD). The application of SVD showed the best performance in the analysis results.

• Culinary science and hospitality research
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• 제17권2호
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• pp.85-97
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• 2011

This study focuses on the influence of the selective characteristics related to the RTEC product (the food product which can be instantly cooked) among the HMR products on customer satisfaction and repurchase intention. Also, it emphasizes the influence of customer satisfaction related to the RTEC product on repurchase intention. For this study, over age 20 living in Seoul, Gyeonggi-do, Jeonju and Jeollabuk-do, the female customers who had experienced the RTEC product were surveyed, and total 219 valid copies of questionnaire were used for the final analysis. As a result of the analysis, it was found that such factors as values, usefulness, preferred menu items, convenience and food quality influenced customer satisfaction considerably. In particular, values, usefulness and food quality were found to influence repurchase intention considerably. Moreover, customer satisfaction significantly influenced repurchase intention.

• Asia pacific journal of information systems
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• 제14권4호
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• pp.87-97
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• 2004

One of the most fundamental problems in business is ranking items with respect to profit based on historical transactions. The difficulty is that the profit of one item comes from its influence on the sales of other items as well as its own sales, and that there is no well-developed algorithm for estimating overall profit of selected items. In this paper, we developed a product network based on association rule and an algorithm for profit estimation and item selection using the estimated profit ranking(EPR). As a result of computer simulation, the suggested algorithm outperforms the individual approach and the hub-authority profit ranking algorithm.

• Journal of Korea Foundry Society
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• 제26권1호
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• pp.27-33
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• 2006

Phase evolutions involving nucleation stages together with diffusional growth have been examined in order to provide a guideline for determining rate limiting stages during phase evolutions. In multiphase materials systems in coatings, composites or multilayered structures, diffusion treatments often result in the development of metastable/intermediate phases at the reaction interfaces. The development of metastable phases during solid state interdiffusion demonstrates that the nucleation reaction can be one controlling factor. Also, the concentration gradient and the relative magnitudes of the component diffusivities provide a basis for a phase selection and the application of a kinetic bias strategy in the phase selection. For multicomponent alloy systems, the identification of the operative diffusion pathway is central to control phase formation. Experimental access to the nucleation and growth stage is discussed in thin film multi layers and bulk samples.

• Korean Journal of Computational Design and Engineering
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• 제3권3호
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• pp.177-182
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• 1998

The computer related techniques have been developed rapidly in the field of metal removal industry. The electronic catalog for mechanical elements is one of such developments realized in recent years. As the emergence of the electronic catalogs in the 90s, it breaks the restriction of the traditional catalog and becomes a helpful and efficient tool in the field. In this paper, we develop an electronic catalog for the cutting tools of the Korea Tungsten Co. Ltd. The catalog consists of three parts: a preprocessor for tool selection, a database for tool, and a postprocessor for search result. A preprocessor for tool selection is developed under a user-friendly consideration. A database for tool consists of milling, drilling, and reaming tools with a list of cutters, inserts, and components. A postprocessor for search result consists of weight, dimension. drawing, product order number etc. of the tools. It also suggests the optimized cutting condition of the selected tool using a neural network technique which is done by an independent research group.

• Journal of Korea Society of Industrial Information Systems
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• 제7권4호
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• pp.83-89
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• 2002

Oil ring and sound proof rubbers are very much important because the cause of oil leakage are mostly occupied by these rubbers. So good oil rings are the necessary parts of autolife expansion. The expensive selection system keeps from factory automation and most works are established manually. These study has been the basis of test equipments automatically in rubber products and DCT algorithm has been applied and the selection system is made efficiently differentiating good or poor.

• Environmental Engineering Research
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• 제12권5호
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• pp.203-210
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• 2007

Since the emissions composition from the household products have potentially been associated with health risks for building occupants, the chemical composition emitted from the products should be surveyed. The current study identified the emission composition for 42 liquid household products, using a purge-and-trap method. This evaluation was done by classifying the household products into five product classes (deodorizers, household cleaners, color removers, pesticides, and polishes). Nineteen compounds were chosen on the basis of selection criteria. The quality control program for purge-and-trap and analytical systems included tests of laboratory blank Tenax traps and blank water samples, and the determination of calibration equation, measurement precision, method detection limit (MDL), and recovery. The number of chemicals varied according to the product categories, ranging from 4 for the product category of bleaches to 12 for the product categories of air fresheners and nail color removers. For all product categories, the emission composition and concentrations varied broadly according to product. It is noteworthy that most household products emit limonene: 19 of 25 cleaning products; 5 of 6 deodorizers; 1 of 3 pesticides; 3 of 3 color removers; and 4 of 5 polishes. It was suggested that the use of household products sold in Korea could elevate the formation of secondary toxic pollutants in indoor environments, by the reaction of limonene with ozone, which entered indoor environments or might be generated by indoor sources such as electronic air cleaning devices and copying machines.