• The Journal of Fisheries Business Administration
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• v.29 no.1
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• pp.1-26
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• 1998

• Proceedings of the Fisheries Business Administration Society of Korea Conference
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• 2007.12a
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• pp.123-134
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• 2007

• Proceedings of the Fisheries Business Administration Society of Korea Conference
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• 2007.12a
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• pp.135-147
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• 2007

• Proceedings of the Fisheries Business Administration Society of Korea Conference
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• 2007.12a
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• pp.27-53
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• 2007

• Journal of Korean Society for Quality Management
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• v.45 no.1
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• pp.93-116
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• 2017

Purpose: The purpose of this study is to suggest a key quality factor affecting user satisfaction based on quality attribute of weather information system and additionally, a managerial implication for activating weather information service market by analyzing causal relevance between weather information system and business performance. Methods: As its method, a causal relevance of quality factor of weather information system affecting satisfaction and business performance was analyzed by using structural equation model. An enterprise utilized in analysis sample performed a survey by targeting 186 distribution/logistics and general manufacturing company. Results: It was revealed that information, service quality of weather information system exerted a significant influence on user satisfaction and it did not take a significant influence on business performance in terms of quality of information, system and service. A significant relevance between user satisfaction and business performance was strong supported. Finally, it was revealed that utilization level of weather information system had a moderating effect on business performance. Conclusion: Domestic weather information system mainly focused on information utilization based weather information system and additional service level utilizing weather information is very low in practical terms. Therefore, in order to expand domestic weather related service market, systematic market expansion strategy of providing corporate customized service and case enlargement would be required.

• Journal of Agricultural Extension & Community Development
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• v.13 no.2
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• pp.277-286
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• 2006

The study aims at analysing the practical effects of "blended learning system" and participatory research methodology. The business programs are running by RDA. Even though many leading farms have been tried on binding technology and agribusiness, however business of farms in Korea are still in the beginning stage. The business program for leading farms of RDA is not only education program but also participatory research program. This program consist of on-line and off line, seminar and business homework etc. The main results of this paper are as follows: 1) to make organization of farms to accomplish business goals 2) to find out solution for urgent problems and subjects of farm management 3) to construct system for leading farms and on-line communities 4) to practice profitable business model for leading farms. Farms needs are not only technology transference, but business model for success of farm management.

• Journal of Korean Society for Quality Management
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• v.36 no.1
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• pp.20-30
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• 2008

Nowadays many countries in the world have been implementing TQM which is originated from Japanese management style. There are many research results that TQM has a positive influences on business results. But the levels of implementing TQM are different by countries. The domestic competitors and the customers, who have the great influences on business results are also quite different. Therefore the levels of TQM in some company and the influences of TQM factors on business results are supposed to be different by countries. The situations of the countries lying on the more developed stage will be a good benchmarks for the countries on following stages. There are few researches on this cross countries analysis. This paper do the empirical study on the effects of TQM factors on business results between Korean and Japanese small or medium sized manufacturing companies. First, the levels of TQM are compared between countries. Second, what key success factors among TQM ones are for business success is analyzed for each country and compared between two countries. This study will help to plan the road maps in TQM journey for the Korean companies.

• Journal of Biosystems Engineering
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• v.39 no.4
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• pp.267-273
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• 2014

Purpose: This study was conducted to develop a web-based business management system to ensure the efficient operation and transparent management of government-subsidized agricultural machinery rental businesses. Methods: An MS_SQL2000 database management system (DBMS) solution was utilized in the system for high system compatibility and integrated management. This system was targeted to be compatible with Internet Explorer 6.0 or later and to ensure security and seamless web operations. The system administrator is able to manage a fleet of agricultural machinery, including various inventory codes, release and return, fleet registry, and business performance. Users (farmers) may search the database of rental machinery and reserve them. Results: With respect to rental reservations, the system administrator can manage the fleet by setting the rental status to Approved, Released, or Returned. Through the web, the administrator can also create a database that includes machinery specifications, features, and rental rates. In addition, business performance data can be analyzed using a diverse array of tools to streamline the rental business. Without having to go to the rental office, users can save time and money by searching for and renting agricultural machinery through the information available on the website, including availability, specifications, and rental fees. After deploying the system, the time required to analyze monthly performance and create reports was dramatically reduced from 20 days per person to one day per person. Conclusions: Since 2014, AMRB has been installed and is operating in agricultural machinery rental businesses in 31 cities and counties in South Korea. This study recommends continued expansion and dissemination of AMRB for the systematic and efficient management of agricultural machinery rental businesses.

• The Korean Journal of Franchise Management
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• v.13 no.4
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• pp.1-12
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• 2022

Purpose: In 2020, the franchise industry accomplished a significant growth compared to the previous year, as the number of franchise companies increased by 9.0% while the number of franchise brands increased by 12.5%. Despite growth in size, the Korean franchise industry underwent many negative incidents, such as franchise ownership sales to private equity funds, that led to deterioration of businesses. From this point of view, this study aims to make various proposals to help policy makers develop franchise industry policies by analyzing trends of the current and previous presidential administrations' franchise policies and regulations using newspaper articles. Research design, data and methodology: A total of 7,439 articles registered in Naver API from February 25, 2013 to November 29, 2021 were extracted. Among them, 34 unrelated video articles were deleted, and a total of 7,405 articles from both administrations were used for analysis. The R package was used for word frequency analysis, word clouding, word correlation analysis, and LDA (Latent Dirichlet Allocation) topic modeling. Results: The keyword frequency analysis shows that the most frequently mentioned keywords during the previous administration include 'no-brand', 'major company', 'bill', 'business field', and 'SMEs', and those mentioned during the current administration include 'industry' and 'policy'. As a result of LDA topic modeling, 9 topics such as 'global startups' and 'job creation' from the previous administration, and 10 topics such as 'franchise business' and 'distribution industry' from the current administration were derived. The results of LDAvis showed that the previous administration operated a policy based on mutual growth of large and small businesses rather than hostile regulations in the franchise business, whereas the current administration extended the regulation related to franchise business to the employment sector. Conclusions: The analysis of past two administrations' franchise policy, it can be suggested that franchisors and franchisees may complement each other in developing the Fair Transactions in Franchise Business Act and achieving balanced growth. Moreover, political support is needed for sound development of franchisors. Limitations and future research suggestions are presented at the end of this study.

• Korean Management Science Review
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• v.11 no.2
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• pp.133-146
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• 1994

This study compares the performance of neural networks and ordinary least squares regression with quality-control processes. We examine the applicability of neural networks because they do not require any assumptions regarding either the functional from of the underlying process or the distribution of errors. The coefficient of determination($R^2$), mean absolute deviation(MAD), and the mean squared error(MSE) metrics indicate that neural networks are a viable and can be a superior technique. We also demonstrate that an assessment of the magnitude of the neural notwork input layer cumulative weights can be used to determine the relative importance of predictor variables.