• The Journal of Fisheries Business Administration
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• v.41 no.3
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• pp.129-151
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• 2010

This study is to analyze the efficiency of Korean fishing ports using DEA. First, the study calculated the efficiency scores based on a CCR-BCC framework and hence technical, pure technical, and scale efficiency scores are seperated for the 38 fishing ports under study. The Average of technical, pure technical, and scale efficiency are turned out to be 0.6834, 0.8582, and 0.7774 respectively. The 15 fishing ports are fully efficient under the constant returns to scale while 21 fishing ports under the variable returns to scale. Second, the super efficiency scores are also calculated under the radial model without the consideration of slacks. The highest score is turned out to be 4.4984 for the P16 fishing port with the average score of 0.9652 for the entire fishing ports. Nevertheless, P16 fishing port has showed up only once as a reference set. On the other hand, P34 fishing port has showed up 11 times as a reference set, which scored the second highest score of 2.9815. Finally the super efficiency scores are calculated under the non-radial model with the explicit consideration of slacks. Now the P34 fishing port scored the highest score of 2.3424 with even 15 times referred to a bench-mark. Therefore the importance of P34 fishing port is emphasized once again on the field of bench-marking for the efficiency of fishing ports. When the targets for the input factors to improve the efficiency of each DMU are calculated the area of fishing port needs the most adjustment to be reduced for 40.36% on the average, while the cosignment sales area does the least adjustment for 13.70%.

• Journal of Nutrition and Health
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• v.39 no.4
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• pp.417-425
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• 2006

The purpose of this study were to a) investigate operation of human resource in contract foodservice management company (CFMC), b) identify the staffing indices for the establishment an labor productivity for CFMC, and c) develop standardized model of staffing demand as foodservice's scale in CFMC. The data was collected using FS intra-net system from 138 contract-managed foodservice operations in A CFMC and statistical analysis was completed using the SAS/win package (ver. 8.0) for description analysis, ANOVA, Duncan multiple comparison, pearson correlation analysis, and regression analysis. The types of operation were included factory (45%), small scale operation (26%), office (11%), department store (10%), training institute (4%), and hospital (3%). The distribution of foodservice scale was classified by meal served was as follows; 'less than 500 meals (47%)', 'from 500 to 1500 meals (25%)', 'from 1500 to 2500 meals (17%)', and 'more than 2500 meals (12%)'. There was two types of contract method, fee-contract (53%) and profit-and-loss contract (46%) Some variables were significantly high operation indices such as selling price, food cost, monthly sales, net profit and others were significantly low operation indices such as labor, meal time a day in the small foodservice on meal scale (p<.001). The more foodservice was large, the more human resource was disposed on dietitian, cook, cooking employee altogether (p<.001). Foodservice in A CFMC was divided into 2 groups by 500 meals a day, according to comparative analysis of labor productivity as meal scale per working hour, meal scale a day and operation indices as meal per foodservice employee, meal per cooking employee (p<.001). The regression equation model was developed as 'the number of employees=1.82+0.014 ${\times}$ meal served' in the operation of less than 500 meals, 'the number of employees=9.42+0.013 ${\times}$ meal scale a day -0.94 ${\times}$ meal scale per working hour' in the operation over 500 meal scale using labor productivity indices and operation indices. Therefore, CFMC could be enhanced efficiency of human resource arrangement using the standardized model of staffing demand and would be increased effectiveness of profit.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.10
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• pp.1548-1558
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• 2008

The goal of this study was to investigate the impacts of service quality, product quality, and perceived price on store loyalty of the clothes shops at a large-scale discount store. The subjects were 357 female adults living in Suncheon City, Jeollanam Province. The questionnaires were conveniently sampled from June 1 to 30, 2006. The collected data were factor and reliability analyzed using the SPSS program. And Regression was used to verified the relationships between the constructs. Among the five hypotheses set in the research model, total four were selected through empirical analysis and the rest one were rejected. The empirical results showed the following managerial implications. First, consumer' perceived service quality has a positive relationship with store image and store loyalty. Second, product quality has a positive relationship with store image. Third, store image has positively related with store loyalty. Fourth, perceived price has not significantly related with store loyalty. Finally, store image in large-scale discount store is 'sales people', 'VMD/atmosphere', and 'assortment' on forming the store image. Especially, 'assortment', 'oust and friendship', and 'symbol' have significantly related with store loyalty.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.3
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• pp.327-337
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• 2019

The aim of this research is to contribute to enhancing the competitiveness of automotive parts suppliers while departing from the dependent relationship structure, by developing and interpreting factors that affect sale, which are financial achievements, in a practical way. The research data covered 200 companies from 2013-2017. The study hypothesis was verified by dividing the hypothesis into Model1 with control variables only and Model2 with control variables in independent variables. As a result of hypothesis testing, regarding sales, only capital size showed to have an effect in Model1, while in Model2, asset size, number of employees and joint ventures with foreign companies did but the other remaining factors did not. In particular, the results showed that an increase in financial performance required 'Economies of scale', and that companies that concentrated on a small number of items, diversified products into four or more items, or owned two to four suppliers, reaped positive results in financial performance. Therefore, in addition to the selection and concentration of corporate management for production items and account management, applying strategies, like the inter-company M&A, consortiums and co-branded strategies to achieve 'Economy of scale', would highly enhance the financial performance of automotive parts suppliers.

• Journal of Energy Engineering
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• v.6 no.2
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• pp.145-151
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• 1997

The R&D investment of power industry has significant influences on the social welfare as well as national economy. It is necessary to analyze how efficient the R&D investment has been performed. The objective of this study is to verify the efficiency of the R&D investment in the domestic power industry. A formula was introduced to by calculate the appropriate amount of R&D investment of monopolistic industry under the regulations which are determined by the proportion of R&D elasticity and price elasticity. It has resulted that there would be no economy of scale as the sales of electricity increases at the same rate of the increasing cost. The R&D investment in the present electricity industry has been performed inefficiently by showing the negative impact on price-cost margin of the intensity of R&D investment, which is the extent of R&D investment to reinforce economy of scale.

• Journal of Sport and Applied Science
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• v.1 no.1
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• pp.1-5
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• 2017

Most of people do not remind of 'Who is domestic medical device business?' A lot of people that Johnson and Johnson, GE and Philips and other foreign companies belong to medical device company. In fact, local enterprises small place based on world market. Local medical device industry's production has grown up rapidly last 10 years. Sales increased nearly 3 times from trillion and 500 billion KRW in 2004 to 4 trillion and 600 billion KRW in 2014. The production record constantly increased owing to safety and good quality of domestic medical devices. As many as 59% of medical devices made in Korea is exported to 198 countries in the world. Currently, medical device industry in the world has been given considerable attention. Cognition and awareness are very much low. Medical device industry, high income creating industry, is said to next generation industry to increase scale, and Korea does not follow world flow. The industry is given support from the government that is not enough. Korean enterprises have small scale among a lot of global enterprises. Being interested in development of medical devices, the author selected department of IT at college.

• Journal of Korea Society of Digital Industry and Information Management
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• v.8 no.4
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• pp.53-62
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• 2012

U-City means the high-tech city that applied ubiquitous technology and information communication technology. U-City aims to intensify urban competitiveness and to improve the quality of residents' life through efficient management of the urban. Currently, 77 U-City projects is underway. The each project cost and scale estimate is not clear in the absence of the U-Service Standardization Model. So, many of the project are trouble about making a production the proper number of U-Service or the cost of project. The excessive service construction is reflected on the construction costs, which leads to the rise of sales price and passes onto the executor of a project as a burden of the project costs, and the problem of the delay of the change-over occurs due to supporting the operation costs for the operation of the constructed service and the demand for additional installation of facilities between a local autonomous entity and the executor of a project. In this paper, we suggested the U-Services Construction Standardization Methods and proposed the standardization services guideline of crime prevention services. U-City services in the future are able to maintain the consistency of the system through the utilization of the proposed standard model. As a result, the U-City project's pre-estimated cost and scale can be extracted.

• Journal of the Korean Institute of Rural Architecture
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• v.10 no.4
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• pp.33-40
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• 2008

This paper aims to clarify the spatial form and functional transition of Korean traditional shop house in Maehwa marketplace, Uljin. The general form of Korean traditional shop house of Maehwa marketplace was the timbered house of the tin roof built in the 1960s. As the scale of a building being comparatively small-scale, building area is $60m^2$ and the yard was mainly made behind the building. When the spatial form of Korean traditional shop house is considered, the composition of 4 by 2 is most. And in the front of a building, the shop is located, and when the back of a building prepares a residence, integration of a sales function and a habitation function is seen. The shop of Korean traditional shop house is converted into living space by change of the function, and the position is the middle of a front of building. This is considered as what inherited the Korean lifestyle. And the last, Although it is not different from the appearance of the shop house of other areas, since there are few grades of the change in comparison, the extension situation of Korean traditional shop house is recognized as an example important for future research.

• The Journal of Fisheries Business Administration
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• v.41 no.3
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• pp.21-44
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• 2010

The paper estimates changes in total factor productivity and technical efficiency change index and technical change index using Malmquist productivity index(MPI) in fisheries wholesale products over the time period of 2006 through 2008. The model considers a number of employees and operating costs as input factors, and sales and EBIT(earnings before tax and interest) as output factors. The results indicate that, between 2006 and 2007, there is in general technical progress in which TCI(Technical Change Index) indicates 2.7994 in the sale scale of 50 million won through 100 million won, while there are no efficiency in TECI(Technical Efficiency Change Index), PECI(Pure Efficiency Change Index) and SECI(Scale Efficiency Change Index) which are estimated to be around 1. Between 2007 and 2008 technical efficiency and technical progress are generally declined, compared to those of 2006 and 2007. Wilcoxon's rank-sum test shows that there are statistically significant difference of TCI and MPI between two periods at the level of 5%, while there are statistically significant difference of TECI, PECI and SECI between two periods at the level of 5%.

• Journal of Convergence Society for SMB
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• v.3 no.1
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• pp.15-22
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• 2013

Recently, in Korea lacks the innovation for small and medium enterprises the proportion of enterprises' capabilities are poor. In addition, sales of small business and medium scale venture are vulnerable because it is difficult to expect developments in the situation. thus the government 3.0 based small business and medium scale venture will present ways to take advantage of big data. Government 3.0 based big data infrastructure, small businesses and small and medium-sized ventures to build their autonomy is required so that you can take advantage of the platform advantage.