• Journal of Agricultural Extension & Community Development
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• v.27 no.2
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• pp.65-74
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• 2020

The study aims to identify the factors affecting business performance of rural tourism operators. For this study, 1,004 questionnaires were collected by field survey of rural tourism operators. The linear multiple regression analysis were used to identify factors affecting performance of rural tourism business. The result indicate that the factors influencing the sales of rural tourism business were in order of owning sales facilities, perception of multi-functional value of agriculture and rural, group promotion, number of rooms, and gender. In the case of gender, it was found that females had a high probability of positively affecting sales. The factors influencing the satisfaction of the rural tourism business were in the order of management strategy, number of days of operation, perception of multi-functional value of agriculture and rural, and business career. In the case of management strategy, it was found that the differentiation strategy have a positively affecting the satisfaction of the rural tourism business. As for the business career, the shorter the career, the higher the probability of positively affecting the satisfaction of the rural tourism business. The results of this study would be useful for establishing strategies to improve the management performance of the rural tourism business.

• Journal of Practical Agriculture & Fisheries Research
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• v.20 no.2
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• pp.73-87
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• 2018

The area of agriculture and fisheries business are expanding according to changes in the agriculture and fisheries environment. For the direction of long-term practical field training of department of Agriculture and Fisheries Business, which is a newly created department of Korea National College of Agriculture and Fisheries, production as well as other areas must be reviewed. The original long-term practical field training and the direction of selecting a long-term practical field training appropriate for the new department reviewed in this study are as follow. First, the original long-term practical field training can be summarized as single product-focused management, inadequate connection of production-processing-service areas, and individuality-focused management. However, a case management that sees new value creation as a basis of agricultural development can be summarized as diversification of value creation, horizontal integration, entrepreneurial management through corporate management, and leading management for regional revitalization through connecting local agricultural. Therefore, the direction of selecting the new department's long-term practical field training requires seeking of value creation management through horizontal integration, exploration of agricultural businessmen who have entrepreneurship needed to create added value in agriculture, and a way to connect to the original production-centered long-term practical field training.

• Korean Journal of Organic Agriculture
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• v.19 no.spc
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• pp.50-59
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• 2011

• Agribusiness and Information Management
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• v.5 no.1
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• pp.1-10
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• 2013

Competition in supply chain has moved from between being organizations to between supply chain. To enhance competitiveness in supply chain, there is a need for organisations to establish and manage collaborative relationships among supply chain partners and share operational and strategic information timely and accurately. As a result, food supply chain partners have adopted of inter organisational information systems (IOIS) such as EDI, IEDI, RFID, internet, and extranets to facilitate exchange of information, streamline production and to effectively manage inventory processes so as to deliver value to the customer. Together with IOIS, cybermediaries also plays a key role in facilitating agriculture and food supply chain. This paper investigates the role and significance of IOIS and cybermediaries in facilitating agriculture and food supply chain. Convergent interviewing was conducted with agriculture producers, food processors and retailers. The study identified logistics, supply chain and customer services benefits perceived from implementing IOIS and utilising cybermediaries services in the food supply chain. To conclude the conceptual paper outlined managerial implications and areas for future research.

• Proceedings of the Korean Society of Organic Agriculture Conference
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• 2009.07a
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• pp.367-395
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• 2009

• 한국벤처창업학회:학술대회논문집
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• 2009.10a
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• pp.203-220
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• 2009

Due to the trend of opening the local market, the import of foreign agriculture is highly increased. And as the income is higher, the type of consumption is changed on the quality priority. There are agriculture brand policies taken by the government. But the similarity of brand and absence of marketing strategy is pointed as main problems. So we considered the brand image development such as a brand naming and a brand design for marketing strategy through the analysis of effect design types on brand image.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.7
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• pp.113-121
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• 2020

Multi-criteria stock selection is a critical issue for effective investment since the improper stock investment might cause many problems affecting investors negatively. Investors need a range of financial indicators while they are choosing the optimal set of stocks to invest. This study aims to rank the stock of agriculture companies indexed on the Vietnam Stock Exchange Market. The data of 13 agriculture companies during the 2016-2019 periods was analyzed by analytical hierarchy process (AHP) integrated with grey relational analysis (GRA), multi-objective optimization ratio analysis (MOORA), and technique for order performance by similarity to ideal solution (TOPSIS). The AHP method is employed to determine the weights of the proposed financial ratios, and GRA, TOPSIS, and MOORA approaches are used to obtain final ranking. The results indicated that HSL is the top stock with the highest rank and GRA, MOORA, and TOPSIS rankings have strong correlation values between 0.78-1. The findings suggest that the integrated model could be implemented effectively to specific analysis of industries such as oil and gas, textiles, food, and electronics in future research. Further, other techniques like COPRAS, KEMIRA, and EDAS could be employed to evaluate the financial performance of other companies to solve investment problems.

• Agribusiness and Information Management
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• v.5 no.2
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• pp.7-15
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• 2013

As the consumers' anxiety for food increases, the interest in food safety also increases. To satisfy the public requirement on food safety, the government is trying to set up a food safety standard by using regulations and certification systems. However, there is still difficulty in building up complex traceability systems for medicinal crops including ginseng due to the low participation of farming industries. The purpose of this empirical research is to draw factors that impede the GAP adoption of ginseng farms. By comparing the average attitude and intention to adopt the ginseng farms' depending on its characteristics through a two-tailed test, it was drawn that continuous farming education can positively influence the GAP adoption of the ginseng farms.

• Korean Journal of Organic Agriculture
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• v.23 no.4
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• pp.749-756
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• 2015

This study aims at identifying the characteristics of family-owner firms from the business studies and searching for the usefulness of the concept for the farming research. From the 1980s, there have been a lot of studies on family business which found out its different features in term of management characteristics. Exploring the concept of the family business, this tries to figure out any kind of similarities of the family farm concept which could be applied for the studies on identifying novel characteristics of contemporary family farms in capitalised societies.

• Journal of Practical Agriculture & Fisheries Research
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• v.21 no.2
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• pp.103-114
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• 2019

In this study we examined the preferences of college life factors for students at Korea National College of Agriculture and Fisheries(KNCAF). Analytical techniques of unstructured data used opinion mining and text mining techniques, and the results of text mining were visualized as word cloud. And those results were used for statistical analysis of the students' willingness to farm after graduation. The items of the favorable survey consisted of 10 items in 5 areas including university image, self-capacity, dormitory, education system, and future vision. After classifying the emotions of positive and negative in the collected questionnaire, a dictionary of positive and negative was created to evaluate the preference. The items of 'college image' at the time of university support, 'self after 10 years' after graduation, 'self-capacity' and 'present KNCAF' showed high positive emotion. On the other hand, positive emotion was low in the items of 'college dormitory', 'educational course', 'long-term field practice' and 'future of Korean agriculture'. In the cross-analysis of the difference in the will to farming according to gender, farming base, and entrance motivation, the will to farm according to gender and entrance motivation showed statistically significant results, but it was not significant in farming base. Also in binary logistic regression analysis on the will to farming, the statistically significant variable was found to be 'motivation for admission'