• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.4
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• pp.112-119
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• 2017

Selecting suppliers in the global supply chain is the very difficult and complicated decision making problem particularly due to the various types of supply risk in addition to the uncertain performance of the potential suppliers. This paper proposes a multi-phase decision making model for supplier selection under supply risks in global supply chains. In the first phase, the model suggests supplier selection solutions suitable to a given condition of decision making using a rule-based expert system. The expert system consists of a knowledge base of supplier selection solutions and an "if-then" rule-based inference engine. The knowledge base contains information about options and their consistency for seven characteristics of 20 supplier selection solutions chosen from articles published in SCIE journals since 2010. In the second phase, the model computes the potential suppliers' general performance indices using a technique for order preference by similarity to ideal solution (TOPSIS) based on their scores obtained by applying the suggested solutions. In the third phase, the model computes their risk indices using a TOPSIS based on their historical and predicted scores obtained by applying a risk evaluation algorithm. The evaluation algorithm deals with seven types of supply risk that significantly affect supplier's performance and eventually influence buyer's production plan. In the fourth phase, the model selects Pareto optimal suppliers based on their general performance and risk indices. An example demonstrates the implementation of the proposed model. The proposed model provides supply chain managers with a practical tool to effectively select best suppliers while considering supply risks as well as the general performance.

• The KIPS Transactions:PartD
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• v.18D no.5
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• pp.357-370
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• 2011

The study aims to examine the service preference between the NEIS(National Education Information Systems) and alternatives, based on the benefits, costs and risks of NEIS service for parents, and finally propose the vitalizations plans for that public services. As a part of public services, NEIS has not only provided the educational information for the students, which enables school parents to suffice for information need, and but also leaded in the parents' participation for the various educational policies. However, major NEIS users such as teachers and parents recently began to blame for the various data errors and connection failures of NEIS. Despite of the research importance, most of NEIS studies severely depended on TAM and researches investigating the preference of school parents for NEIS services rarely exist. The study classifies NEIS parents services into benefits, costs, and risks based on ANP BCR model, identifies the preference for the services, compares the NEIS services and alternatives, and provides the results of sensitivity analyses. The analyses identify that NEIS was not frequently used by school parents and that the service preference of the school parents was not considered yet. Consequently, the study stresses the acceptance vitalizations plans for NEIS.

• Korean Journal of Construction Engineering and Management
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• v.17 no.2
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• pp.90-98
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• 2016

High-rise buildings construction project have various risk factors. Major risk factors are negative results such as time delay and increase of costs. Therefore, this study was analyzed risk factors in construction stages of high-rise buildings using by PROMETHEE technique. For this, this research were identified risk factors through experts Focus Group Interview(FGI). And, PROMETHEE was used to setup evaluation standard for analysis of high-rise building construction risks. Next, the standard of evaluation index calculation was composed by using the definition level in PDRI. Preference function and evaluation index were identified through questionnaires. Through these processes, this study has calculated the importance of high-rise building construction risks using by PROMETHEE technique. As a result, high degree risk factors were as following. These are 'Operation plan of material lifting', 'Outrigger & Belt Truss Construction', 'Foundation work plan of high-rise building' and 'Considering a Structure concept of high-rise building'.

• Journal of the Korean Home Economics Association
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• v.26 no.1
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• pp.21-31
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• 1988

The main problem of consumer behavior is choice since the outcome of me of a choice can only be known in the future, consumers are forced to deal with the risks of und\certainty. So, perception of risk is pivotal aspect of consumer behavior. This study was designed to investigate the relationships between purchasing behavior of textile and perceived risk. Data were obtained from 276 housewives. ANOVA, x2-test were employed to analyse the data. The result were : 1. general features of textile purchase behavior are as follows. Blend wools and pure wool products are prefered. Fall is the major season in purchasing textile. Wholesalers, department stores and agent stores are prefered. Purchasing decision making process independent upon not only textile itself but the practice value of the textile. Purchasing textile, married young women depend on outward shape of the textile, middle and old aged groups depend on the economic value of the textile and the credibility of the stores. 2. Perception of risk is relatively high in the preference of store, color/design, and psycological uncertainty. But the perceived risks is relatively low in brand, price and social credibility. 3. There is significant relationship between the recognition rate of risk and the sensitiveness of the consumer. In addition, there are strong relationship between the risk rate and the preference of shop, brand, and price. On the other hand, there are no significant relationship between the color, design, and sociopsyco-logical risk and demographic variables. 4. The perceived risk of consumer would be a key stone to grasp the consumer behavior. The product company needs to provide full information which could reduce the perceived risk of consumer. there attitude would help for the mutual interests. In the future research, we need to develop the precise methods for finding variables on the perceived risk during the process of making purchase intention.

• Korean Journal of Community Nutrition
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• v.6 no.3
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• pp.290-296
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• 2001

This study investigated the intake of alcoholic and non-alcoholic beverages in college students. Five hundred and eighty seven students age 19-30 (432 male and 155 female) responded to the beverage consumption survey. Of the students 19.9% were freshman, 42.2% sophomore, 23% junior, and 15% seniors. Results are summarized as follows : 1) Beer and soju were the most commonly consumed alcoholic beverages by the college students. The amount of beverage normally consumed was 3 cans of beer or 1 bottle of soju. 2) There was no age related change in amount of alcoholic beverage consumed, but preference for liquor rather than beer increased with age. 3) Foods most commonly consumed prior to drinking were cooked rice and milk. 4) Following the drinking of alcoholic beverages the most commonly consumed food or beverage was cold water for both males and females. The next most commonly foods were cooked rice, instant noodles, and cola for males ; and cooked rice, milk, and fruit for females. 5) Cola and pear juice were the preferred non-alcoholic beverages for college students. Also popular among students were date juice for males and orange juice for females. Milk and non-cola carbonated beverages were not commonly consumed. This study provides information for the identification of possible alcoholic beverage related public health risks among college students.

• Journal of Navigation and Port Research
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• v.44 no.2
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• pp.128-135
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• 2020

Long-term shipping contracts represent the cooperative and coexisting relationships between the shipping and steel industries. Yet, differences between the contract forms for iron ore and steel products have emerged. Specifically, the large proportion of consecutive voyage charters (CVC) is being applied in the iron ore trade, whereas the contract of affreightment (COA) is proportionally higher for shipping steel products. The literature review and in-depth interviews in this study identified through the research model, the characteristics of the shipping and market structure in both markets have significantly contributed to the preference of different long-term contracts. It has been determined that the mutual oligopoly market structure and the characteristics of shipping such as, the small number of suitable vessels in the market, the single fixed load/discharge ports, the long-distance voyages, and the potential risks for fatal accidents because of cargo liquefaction, for the iron ore trade, provide higher contribution to the preference of CVC contracts. In contrast, the consignor oligopoly market structure and the shipping characteristics, such as the greater number of suitable vessels available in the market, the variation in ports, the cargo quantity per shipment, the various load/discharge ports, and the need for experienced carriers for steel product loading in the steel product trade has shown higher preference on the COA contracts as the consignors with superiority over the shipowners, resulting in favorable contract types and conditions for the consignors.

• Industrial Engineering and Management Systems
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• v.2 no.1
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• pp.55-62
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• 2003

This paper deals with the difficulties involved in analyzing and designing a management system to reduce the risks and improve the productivity of new product development. In this paper, a method is described to analyze user information and determine product specifications based on a stimulus-response model, the conjoint measurement of users needs, and product characteristics deployment. The proposed method can analyze the effect of a partial price on the contribution ratio based on the order of preference of product profiles through a smaller number of product profiles. The strengths and weaknesses of this method are examined as the method is applied to the case study of a mobile computer intended for personal use.

• Journal of the Korean Society of Costume
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• v.61 no.5
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• pp.139-146
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• 2011

In South Korea, hospital clothes for medical staff, which require high performance and functionality, are still regarded just as uniforms. Few researches have been made into the underwear for operating room staff, which is intended to protect medical staff against possible risks happening during an operation and allow them to do their job in an easy and comfortable manner. In order to present a new design of underwear for operating room staff at general hospitals in South Korea, an investigation was made into medical staff's preference for overseas brand samples, and it was found that they preferred to wear such clothes as are blue-colored, of a V-neck line, of a box style and has good absorptiveness and breathability. After developing the primary prototype and the conventional underwear for operating room staff at Hospital A, their appearances were evaluated, and it was found that the primary prototype was more favorably evaluated. After developing the secondary prototype, their preference for the colors and shapes was surveyed, and it was found that they preferred to wear No.6 blue colors and T/C materials. In conclusion, it is considered that a systematic research need be conducted into the designs of various hospital clothes, whose roles and functions are subdivided, including the underwear for operating room staff developed in this research.

• Journal of Environmental Science International
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• v.27 no.7
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• pp.519-529
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• 2018

With rapid economic growth, the urban environment has created a problem of human physical and mental illness. In order to solve these problems, urban forests have emerged as a way to mitigate the environmental risks through improving the polluted environment of the city and improve the quality of life. As the urban forests have expanded, the school forests movement has also been taking an important place recently. The study focused on the performance of school forests by comparing the perceptions among teachers and students about their functions. The questionnaire was composed of 4 questions concerning human matters, 10 questions for space recognition, 4 questions for thermal environment, 2 questions for health promotion, and 20 total questions for composition of survey items. The reliability of the school forest function, number of tree planting areas and quantities, the harmony of the planting, and the satisfaction of the school forest were analyzed in the questionnaire conducted by the school members. Although it does not recognize school forests, it has a positive response to the green space that is built outdoors. It is considered that outdoor education and environmental education are sufficient in school forests and green spaces. The results showed that the outdoor green space was more satisfactory when compared with the general school. Teachers and students' preferences were similar to 'seasonal changes' and' trees of various colors and shapes'. The reliability analysis between each item shows that the coefficient for cronbach's ${\alpha}$ was .700 to .834. The purpose of this study is to identify the perception of forest function among school forest members and to utilize them as a basic data in the future.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.5 s.142
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• pp.637-648
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• 2005

The purpose of this study was to investigate the differences among internet and TV home-shopping perceived risk segments in regard to clothing shopping orientations and purchase intention. The subjects used for the study were 290 female consumers aged from 20 to 40 living in Seoul. The study used factor analysis, cluster analysis, ANOVA, Duncan test, and $\chi^2-test$. The results showed that the Internet and TV home-shopping perceived risks consisted of 9 factors: Products uncertainty risk, Internet shopping mall trust risk, account-related risk, delivery risk, social risk, size risk, exchange/return risk, TV watching-related risk, and price risk. The cluster analysis showed that there were five groups segmented: Size risk/TV watching risk group, Social risk/Internet trust risk group, Return risk/TV watching low-risk group, Delivery risk/product trust group, and Product risk group. The clothing shopping orientations were classified by 5 factors: Planned shopping, pleasure shopping, sales/fashion oriented shopping, time saving shopping, and credit card preference/in-store oriented shopping. The results showed that the five segmented perceived risk groups differed in regard to clothing shopping orientations, purchase intention, and demographics. Further group differences and implications of the results were discussed.