• The Journal of Fisheries Business Administration
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• v.48 no.2
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• pp.53-66
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• 2017

More than 90% of cultured fish is consumed by sliced raw fish which is usually an eating out menu in South Korea. In order to develop the aquaculture industry in Korea, It is very important to know whether consumers can differentiate each species or not and how consumers recognize each species by certain criteria. for example taste, seasonal preference. The purpose of this study is to understand the competitive relationship through positioning studies of each species by the selection attributes. A total of 221 consumers were surveyed in korea. This study adapted multidimensional scaling(MDS) analysis to explore how consumers position sliced raw fish species based on selection attributes. This study has produced perceptual maps of sliced raw fish market. Empirical data was collected from sliced raw fish consumers in Korea. The results of MDS analysis reveal that 7 species are divided into 3 groups(flat fish, black rock fish), (red sea bream, salmon, tuna), (sea bass, gray mullet). In this study flat fish and black rock fish are perceived as safe, familiar, good value species. Red seabream, salmon, tuna are perceived as luxurious species. Sea bass and gray mullet are perceived as unfamiliar species.

• The Journal of Fisheries Business Administration
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• v.46 no.3
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• pp.73-82
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• 2015

This study aimed to evaluate the effectiveness of closed season policy using an integer linear programming, targeting the large purse seine fishery in Korea. In the analysis, based on Cheng and Townsend(1993), fishing effort (fishing days by month) was assumed to be distributed for profit maximization of vessels and catch of immature fish was estimated. The analytical results showed that the effects of closed season policy would vary in accordance with the monthly closures in terms of fishing profits and catch of immature fish. A closed season policy by month had different effects on fishing profits and catch of immature fish by species. It implies the importance of considering seasonal changes of fish species when limiting fishing efforts with the closed season policy.

• The Korean Journal of Applied Statistics
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• v.23 no.4
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• pp.635-650
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• 2010

We model surrender rates with a few explanatory variables such as the difference between reference marke rates and product crediting rates, the policy age since the contract was issued, unemployment rates, economy growth rates, and seasonal effects using logit function. We investigate the policy holder surrender behaviors of US single premium deferred annuities(SPDA) and Korean interest indexed annuities under extreme financial conditions.

• Proceedings of the Korea Concrete Institute Conference
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• 1991.10a
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• pp.146-151
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• 1991

In recent years a reasonable supply and demand plan of construction materials which is based upon an accurate forecast has been greatly required to prevent construction works from delaying and slapdash. To meet an above requirement, a short-term forecasting system of construction materials, in this paper, is established, which is approached in engineering aspect and emerged from conventional forecasting systems. The major considerations in setting up this system are the distributed lag of consrection business indicators and seasonal variations in consumption of constuction materials.

• Journal of Korean Society of Transportation
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• v.32 no.4
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• pp.401-409
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• 2014

This study deals with capacity expansion planning of airport infrastructure in view of economic validation that reflect construction costs and social benefits according to the reduction of passengers' delay time. We first forecast the airport peak-demand which has a seasonal and cyclical feature with ARIMA model that has been one of the most widely used linear models in time series forecasting. A discrete event simulation model is built for estimating actual delay time of passengers that consider the passenger's dynamic flow within airport infrastructure after arriving at the airport. With the trade-off relationship between cost and benefit, we determine an economic quantity of conveyor that will be expanded. Through the experiment performed with the case study of Incheon international airport, we demonstrate that our approach can be an effective method to solve the airport expansion problem with seasonal passenger arrival and dynamic operational aspects in airport infrastructure.

• Korean Journal of Community Nutrition
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• v.15 no.2
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• pp.253-265
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• 2010

The purpose of this study was to examine the designs of the menu books as an important tool of marketing and then present its improvement strategies. For this, the investigator comparatively examined the current status of menu book designs of the restaurants in Incheon area with 295 managers and then analyzed menu book designs by its designers. Menu book designers were printing houses (42.0%), specialized business (31.9%) and managers/employees (26.1%). 51.5% of menu books were impossible to substitute partially. Even there were seasonal menus or event menus, 27.5% of them were impossible to replace menu books partially; therefore, it was impossible to take a prompt action for seasonal or event menus. The easiness of understanding the terminology in menu books was average $2.74{\pm}0.45$(3-point scale). The harmony of menu book design with restaurants was average $2.46{\pm}0.51$ (3-point scale). Comparing to the menu books designed in specialized business, the menu books designed in printing houses or by managers/employees were uniform in type sizes (p < 0.001), had no menu photos (p < 0.001) and explanations (p < 0.001), and did not classify menus by groups (p < 0.001) in general. In addition, profit-making menus were not properly emphasized (p < 0.001), thus making the design of menu books a little improper. Therefore, it is necessary to educate managers in the restaurants to understand the importance of menu books and thus improve it. In addition, by maintaining close communication with designers of menu books, managers in the restaurants must ensure for their menu books to be designed appropriately, thus making their menu books play the role of an important marketing tool.

• Journal of Korean Society of Environmental Engineers
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• v.27 no.3
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• pp.337-341
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• 2005

It is difficult to use average sewage water quality as a design parameter for the individual sewage wastewater treatment plant(ISWTP), because sewage water quality is very various according to the building use type. So, in this study, we estimated daily, seasonal and weekly trend of sewage water quality and flow rate in various kind of building to comprehend operating state of ISWTP. The sewage water quality and flow rate were higher in the business building than household building. The seasonal difference of the water quality was not detected but that of flow rate was high. The flow rate of the sewage in the business building was higher in summer than in other seasons and in weekend than in weekday. The treatment efficiency of IWSTP was about $70{\sim}80%$ with BOD, $40{\sim}50%$ with TN and TP, which was very low. The unit loads of the individual house were 36.05 gpcd with BOD, 37.91 gpcd with SS, 23.91 gpcd with T-N, and 7.90 gpcd with T-P respectively, and those values were higher than other studies. It is because, as distinct from other studies, sewage water quality was monitored at the inlet point of the IWSTP in this study. We can use this results as an one of basic parameters for the design of IWSTP.

• Journal of Fashion Business
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• v.15 no.3
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• pp.51-66
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• 2011

The purpose of this study is to investigate the effect of the traditional color sentiment on the contemporary clothing color by studying the pictures of street fashion of Dalian in China, in view of the clothing color of women in their 20-30 years of age having highest purchasing power, along with traditional Chinese color. The clothing color is various in frequency depending on the items in street fashion. Due to the seasonal impact of summer, the most frequent item was one-piece dress with the Multi of various color patterns, followed by White, Black, PB, R and B category. In the top color, the White was most prevalent color due to the seasonal factor, followed by Black, Grey, Multi, R, Y, RP category. Achromatic color is more dominant with the ratio of 7:3, comparing with its counterpart, which consists of R and Y category of V, B, P, VP tone. In the bottom color, Dp tone of PB shows most high frequency, followed by Black. This results illustrate that Chinese women prefer blue jeans and to be looked as slimmer by using of the dark colors. In the accessories, colors of bags and shoes show different results. The bag colors show the high frequency of Dk tone, YR category, and the chromatic colors are little bit dominant than achromatic ones with the ratio of 5.3:4.7. On the contrary, the shoes colors show the highest frequency in Black, the achromatic colors are more dominant than chromatic ones with the ratio of 6.6:3.4. These results somewhat diverge from the international color trend. Color trend in Dalian street fashion in which the high frequency of V tone is observed through all the colors of the items followed by P, VP, Lgr tone in sequence. In the light of Chinese traditional color preference, this result denotes that the traditional color preferences of red, yellow are still affecting the contemporary color choices of clothing in Chinese women. The high incidence of PB category in the bottom and one-piece dress does not seem to have its origin form traditional Chinese color sentiment.

• Korean Business Review
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• v.4
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• pp.281-295
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• 1991

Nothing is more incorrect than forecasting. Nevertheless, forecasting is one of the most important business activities for the effective management. There has been rapid changes of the growth rate in every respect of the Korean hospitaity industry, especially the hotel industry, before and after the 88 Olympic Games. Therefore, the hoteliers shall be in need of more-than-ever accourate demand forecasting for the more systematic management and control. Under the above circumstances, this study suggested the best forecasting technique and method for the better sales and operations of the hotel rooms. The number of rooms sold is selected as a dependent variable of this study which is regarded as the best representative factor of measuring the growth rate of the rooms division performance of the hotels. The first step was to select the most verifiable independent variable diferently from the other countries or other areas of Korea. As a result, the number of foreign visitors was chosen. Empirical research, i.e. correlation and multiple regression analysis, shows that this independent variable has a strong relationship with the dependent variable told above. The second procedure was to estimate the number of rooms will be sold in 1991 on the basis of the formula calculated through the multiple regression analysis. Time series technique was conducted using the data of the number of foreign visitors by purpose of travel from 1987 to 1990. For the more correct forecasting, however, it would be desirable to adopt the data from 1989 considering the product or the industry life cycle. In addition, deeper analysis for the monthly or seasonal forecasting method is needed as a future research.

• Journal of the Korean Society of Food Culture
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• v.26 no.2
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• pp.170-177
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• 2011

We examined household's food expenditures in this study. The empirical work outlined here used quarterly data from 2003 Q1 to 2010 Q3. All variables are in log form and were obtained from the Korea National Statistical Office. The food items included cereals, dairy products, fruits, meat, vegetables, and alcoholic beverages. We applied the ordinary least squares method to a model consisting of household income and seasonal dummies. This is because household expenditures are ordinarily a function of income and have seasonal characteristics. The household's food consumption patterns also reflect the prevailing social and environmental circumstances. This study showed that the income coefficients of cereals, meat, dairy products, and alcoholic beverages tend to increase in the long-run, whereas those of vegetables and fruits decreased. The results also revealed that consumption of alcoholic beverages and meat was greatly affected by household income fluctuations, whereas those of vegetables and dairy products were not sensitive to income. The impulse response functions indicated that expenditures not only increased slowly before peaking one to eight quarters after the income shock but declined very slowly to pre-shock levels. The response of dairy products at the twelfth step was three times as large as that of the first step.