• 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.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.3
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• pp.19-32
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• 2020

This study analyzed the effects of ICT technical characteristics of agricultural industry on smart farm entrepreneurial intention by using smart farm effort expectation and smart farm acceptance intention as mediators for smart farm pre-founders. Sub-variables of the technical characteristics of agricultural industry ICT were classified into availability, economics, data convergence and scalability. 349 questionnaires collected from pre-founders living in the country were used for empirical analysis. SPSS v22.0 and Process macro v3.4 were used to analyze the data based on serial multiple mediation model. First, economics and scalability had a positive (+) effect on start-up intention. Second, availability, economics and scalability had a significant effect on effort expectation. Third, effort expectation had a significant positive effect on acceptance intention. Fourth, acceptance intention had a significant positive effect on start-up intention. Fifth, the indirect effects of economics on start-up intention were all significant through effort expectation, through acceptance intention and through both effort expectation and acceptance intention. Sixth, the indirect effect of data convergence on start-up intention was significant through acceptance intention. Seventh, the indirect effect of scalability on start-up intention was significant through effort expectation and through both effort expectation and acceptance intention. As a follow-up study, it is necessary to study for the mediating variables other than mediators introduced in the study or the moderated mediation analysis through the conditional process model in which the moderating variable is introduced.

• Korean Journal of Agricultural Science
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• v.38 no.4
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• pp.769-774
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• 2011

This study aimed at finding the factors impacting customer satisfaction (CS) for conversion farm with $2^{nd}$ and $3^{rd}$ industry, because the most important thing in the conversion farm is enhancing customer satisfaction. The data on CS from 173 pumpkin farm's customers by on-line survey were gathered. The analysis using structural equation model with Amos was carried out. Product, service and purchasing were determined as 3 factors impacting to CS. The result showed that purchasing is the biggiest contributor to CS. It means the customers using on-ine market are very sensitive to farm's brand and logistics. It is also found that conversion with processing and farm experience activity is definitely affecting to building customer's trust. In conclusion, making efforts on enhancing CS in conversion farm is the key to success.

• Korean Journal of Agricultural Science
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• v.32 no.1
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• pp.81-94
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• 2005

This study is aimed at giving the basic information for individual farm households to make decisions for optimizing their farm sizes and for the government to implement farm size optimization policies through the identification of combinations among rice production factors in plain areas like Cheolwon district and the suggestion of the optimal farm sizes of individual farmers based on the scale of economy calculated. The data of agricultural production costs of 50 rice farmers in the plain area which is located in Dongsong-eup Cholwon district, Kangwon province were used in the analysis. The 'translog' cost function among various methods which is a flexible function type was adopted to calculate the scale of economy in rice production. Seemingly unrelated regression(SUR) method was used in forecasting functions and processing other statistics by SHAZAM which is one of the computer aid program for quantitative econometric analysis. In conclusion, the long-run average cost(LAC) curve showed 'U-shape' which was different from 'L-type' one which was shown in the previous studies by others. The lowest point of the LAC was 9.764ha and the concerned production cost amounted to 633 Won/kg. Based on these results, it have to be suggested that around 10 ha of paddy is the target size for policy assistances to save costs under the present level of farming practices and technology. The above results show that the rice production costs could be saved up to 10ha in Cheolwon plain area which is a typical paddy field. However, land use, land condition, land ownership and manager's ability which may affect scale of economy should be considered. Furthermore, reasonable management will have to be realized by means of labor saving technology and cost saving management skill like enlargement of farm size of rice.

• Asia-Pacific Journal of Business
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• v.8 no.1
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• pp.45-65
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• 2017

This study which focused on factors and challenges affecting the decision-making of indigenous corn farmers ascertained the determinants that make farmers decide to engage in and continue corn farming activities in Paracelis, Mountain Province, in Northern Philippines. Determinants of decision and motivational factors of corn farmers were examined based on survey responses of 120 indigenous corn farmers by applying chi-square test analysis. Results showed that there were some decision and motivational factors that were significantly related to specific characteristics of corn farmers and there were also similarities of factors that affected the decision making of farmers in terms of engaging in and sustaining corn farming activities. Among the identified driving forces, financing capability and availability of land area were highly related with farm size and with a farmer's educational attainment. Knowledge or experience and interest in corn farming were also related with educational attainment. All the identified driving forces were found to be unrelated to farmers' age. The motivational factor identified as "personally satisfying" was found to be related with age, educational attainment and years in the farming business. Factors which affected a farmer's decision to sustain corn farming activities ("sustaining" factors) such as availability of different networks is highly related to educational attainment, years in the farming business and farm size while high market price of corn was the only "sustaining" factor linked to educational attainment. Based on these factors and cited problems in corn farming, recommendations were offered to address the issues raised by farmers.

• Korean Journal of Agricultural Science
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• v.25 no.2
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• pp.343-350
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• 1998

This paper is aims at identifying the minimum farm size of the greenhouse vegetable cooperatives. Farm cooperative is one of the institutional measurments for the seeking of economy of scale which could not be found in family farm. In this paper 5 cooperatives and 5 farmhouseholds which have been managed vegetable greenhouse were surveyed. The results are as follows; First, cooperatives had 29.3% less on the fixed costs, and received 43% more on prices than general vegetable farmhouseholds. This means that the cooperatives have economy of scale. Second, to establish full organized coopratives, cooperative sizes must be more than 4,582 pyung, considering the government target which will be loaned 80% goverment loan of total facility costs with no subsidy.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.7
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• pp.2937-2948
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• 2012

Record-keeping is one of the most fundamental practices in good farm management as it shows a systemic managerial and analytic data essential for a successful farm operation. Despite such obvious benefits in record-keeping, however, today`s farmers do not take advantage of this practice for various reasons. To make the matter worse, not much research has been done to resolve this incompatibility. Therefore, it is urgent for both the government and the farmers to come up with a better method or book of record-keeping that will show the farmers where their operation has been in the past, where it is now, and where it is heading in the future. This study will survey and analyze the current status of record-keeping practice among farmers using statistic models such as logit and ordered probit model. The results showed that the majority of the farmers lack knowledge about management record. Also, appropriate record-keeping books and related education were not available. Therefore, the government should develop and provide farmers with record-keeping books that are easy to use and at the same time giving proper education about agricultural management skills. Finally, this study suggests some improvement plans about agricultural record-keeping based on the results drawn.

• Korean Journal of Agricultural Science
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• v.26 no.2
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• pp.106-115
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• 1999

It will become necessary for farmers to adopt information technology into commercialized farming system, since its productivity is increasingly linked to how to exploit the agricultural information. The purpose of this study is to examine the current status of information technology and to suggest ways to utilize the information technology for innovative farm management. Internet should become more important instruments which farmers might utilize in order to collect and mine the agricultural information because of its rapidity, reliability and precision. Also farmers should be encouraged to adopt a GIS-based farm management decision support system and to integrate the market information and geographic information such as soil, water, temperature, etc. for optimal decision making. Another way of improving farm management is to make farmers use agricultural accounting software for individual farmers and develop farming simulation system which analyze a farmer's current financial condition and suggest how to improve it. Making home page would be major marketing strategy for farmers to promote the sales of agricultural products.

• Journal of Distribution Science
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• v.15 no.11
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• pp.21-29
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• 2017

Purpose - Relationship between farm and county losses determines whether the county program provides too little, too much, or similar amount of assistance relative to the loss on an individual farm. A review of the literature finds limited analysis of the determinants of this relationship. This paper conducts such an analysis using farm-level yield data. Research design, data, and methodology - Farm-level yield data from Illinois and Kansas farm business management associations are used for to calculate the correlation between farm and county loss and the share of farm loss systemic with county loss, and also for the regression analysis. Results - Average share of farm loss systemic with the county loss lies between 42% and 68%. The correlation between farm and county yield/revenue deviation from expected value is statistically significant in all four models. The coefficient is positive, implying the higher the correlation, the larger the share of farm loss that is systemic with the county loss. Conclusions - The findings of this study are consistent with the existing literature which argues that county variability may not be closely associated with farm variability. The findings of this study thus raise questions about the efficacy of area yield and revenue insurance products in helping farmers manage their risk.

• Journal of Korean Society of Rural Planning
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• v.27 no.4
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• pp.1-12
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• 2021

The purpose of this study is to analyze the effect of crop diversification on farm households' agricultural income. Abundant literature have explored the determinants and efficient strategies for crop diversification. Yet, there is a paucity of research studies that empirically test the effectiveness of crop diversification as a profitable farm management strategy. Utilizing the 2015 Agricultural Census, this study adopts a quasi-experimental research design to compare the outcomes between farm households that opted for crop diversification and farm households that did not engage in such a strategy. In doing so, this study applies the Heckman Selection Model and the decomposition technique to address the problem of selection bias and to identify the causal effect. Our empirical results show that farms that implement diversification are more likely to earn higher agricultural income than non-diversified farms, although the difference would not be much substantial. This study concludes with several policy proposals to stabilize agricultural income in conjunction with crop diversification.