• Agribusiness and Information Management
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• v.6 no.1
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• pp.12-19
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• 2014

The purpose of this study is to compare and analyze the product image produced by the cinemagraph image and the product image produced by the general image in the electronic trade. The cinemagraph refers to the image with a special characteristic that provides the motion clue by playing the part of the picture endlessly in the form of a video. For this study, we explored how the perceived monetary value, brand attitude, and perceived taste would influence on the purchase intention, and it was analyzed that all of the three factors significantly influenced on the purchase intention. However, it was investigated that the purchase intention of the group watching the image by the cinemagraph was significantly influenced by the perceived monetary value and the perceived taste, and the purchase intention of the other group watching the general image was significantly influenced by the brand attitude and the perceived taste; therefore, it was verified that there was a difference between the group watching the cinemagraph and the group watching the general image. In this result, it could be interpreted that when the people watching the cinemagraph purchase a product in the shopping mall, the price becomes the important requirement, and when the people watching the general image purchase a product in the shopping mall, the brand becomes the important requirement; therefore, these results could provide great implications to the food marketers.

• Journal of Arbitration Studies
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• v.31 no.2
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• pp.47-76
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• 2021

India is one of the fast growing country in the world. For the acceleration of economic growth of India, it is indispensable for Indian government to construct infrastructure, such as railroad, airport, harbor, power plant, and water management system. For example, Modi, prime minister of federal government of India proclaimed that Indian government plans to construct 100 smart cities in 2015. In recent times, India is expected to be the largest recipient of Public-Private Partnership(PPP) type projects in the world. Owing to PPP, it is possible for India to pursue her objective to transform the whole economy into digital economy beyond agricultural society. One of major problem related with implementation of PPP type projects is the growth of disputes concomitant to the rising phenomena of PPP type projects in order to build infrastructure in India. Because of this, non-negligible number of projects has been cancelled during last two decades. This study investigates seven failure cases of PPP in India. Those include Nabi mumbai airport, Dabhol power plant, Munbai water project, and Kolkata subway project. Main types of dispute resolution are mediation or conciliation, dispute review board, arbitration, expert adjudication in PPP.

• International journal of advanced smart convergence
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• v.8 no.1
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• pp.159-165
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• 2019

'4th Industrial Revolution' is accelerating as a core part of creating new growth engines and enhancing competitiveness of businesses. The fourth industrial revolution means the transformation of society and industries that are brought by IoT (Internet of Things), big data analysis, AI (Artificial Intelligence), and robot technology. Information and Communication Technology (ICT), which is a major factor, is affecting production and manufacturing systems and as ICT technologies become more advanced, intelligent information technology is generally utilized in all areas of society, leading to hyper-connected society where new values are created and developed. ICT technology is not just about connecting devices and systems and making smart, it is about constantly converging and harmonizing new technologies in a number of fields and driving innovation and change. It is no exception to the agro-fisheries trade. In particular, ICT technology is applied to the agricultural sector, reducing labor, providing optimal environment for crops, and increasing productivity. Due to the nature of agriculture, which is a labor-intensive industry, it is predicted that the ripple effects of ICT technologies will become bigger. We are expected to use the Smart Concentration using ICT convergence technology as a useful resource for changing smart farms, and to help develop new service markets.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.809-820
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• 2021

The study aimed to investigate the impact of sectoral bank credit facilities provided by commercial banks on the non-oil economic growth in Saudi Arabia. Bank credit facilities are given for nine economic sectors: agriculture, manufacturing, mining, electricity and water, health services, construction, wholesale and retail trade, transportation and communications, services, and finance sector. The study employs annual data from 1970 to 2019. The study employs the Autoregressive Distributed Lag (ARDL) approach to identify the long-run and short-run dynamics relationships among the variables. The main results reveal that the overall impact of total bank credit has a significant and positive effect on non-oil economic growth in KSA. The results revealed that the effect of bank credit on the non-oil GDP growth in the short and long run was uneven. The study finds that all sectors have a positive and significant impact in the long run, except for the agricultural and mining sectors. Likewise, all sectors have a positive and significant impact in the short run, except for construction, finance, services, and transportation & communications. As a result, bank credit facilities in different sectors have played an important role in enhancing the non-oil economic growth in the KSA.

• Journal of the Korean Society of Industry Convergence
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• v.24 no.4_2
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• pp.467-474
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• 2021

The renewable energy is known as eco-friendly energy to reduce the use of fossil fuel and decrease the environmental pollution due to exhaust gas. Targets of solar collector in domestic are usually acquisitions of hot water and hot air. System of air-heating collector is one of the technologies for obtaining hot air in cases of especially heating room and drying agricultural product. The purpose of this study is to investigate the characteristics of thermal flow such as relative pressure, velocity, outlet temperature and buoyancy effect in air-heating collector using solar heat. The flow field of air-heating collector was simulated using ANSYS-CFX program and the behaviour of hot air was evaluated with SST turbulence model. As the results, The streamline in air-heating collector showed several circular shapes in case of condition of buoyancy. Temperature difference in cross section of outlet of air-heating collector did not almost show in cases of buoyancy and small inlet velocity. Furthermore merit of air-heating collector was not observed in cases of inlet velocities. Even though it was useful to select condition of buoyancy for obtaining high temperature, however, it was confirmed that the trade off between high temperature of room and rapid injection of hot air to room could be needed through this numerical analysis.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.37 no.2
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• pp.154-163
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• 2024

The energy demand in the world is expected to exceed 740 million TJ by 2040 and our dependence on fossil fuels needs to be switched to sustainable and renewable energy sources like solar energy. Building Integrated Photovoltaic (BIPV) is one of the best approaches to extracting solar energy. There are more than 200 BIPV products in the market currently but when it comes to integrating these products into the technical aspects such as buildings' structural integrity, thermal, daylight retainment and aesthetic prospects to be considered. The share of BIPV integration potential of different building types in the world of residential, agricultural, industrial, commercial and other buildings account for 66%, 4.8%, 8.1%, 19.9%, and 1.2% accordingly. Many solar technologies developed to achieve architectural requirements, but the main problem is the trade-off between efficiency and aesthetic appeal, which is less than 10% in coloured and transparent solar modules. This paper discusses the different applications of solar photovoltaics (PV) in building architecture, technical requirements, and different module technologies. The article provides a comprehensive guide for researchers and designers working on the development of BIPV integrations.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.161-177
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• 2015

With the rapid evolution of technology, the size, number, and the type of databases has increased concomitantly, so data mining approaches face many challenging applications from databases. One such application is discovery of fraud patterns from agricultural product wholesale transaction instances. The agricultural product wholesale market in Korea is huge, and vast numbers of transactions have been made every day. The demand for agricultural products continues to grow, and the use of electronic auction systems raises the efficiency of operations of wholesale market. Certainly, the number of unusual transactions is also assumed to be increased in proportion to the trading amount, where an unusual transaction is often the first sign of fraud. However, it is very difficult to identify and detect these transactions and the corresponding fraud occurred in agricultural product wholesale market because the types of fraud are more intelligent than ever before. The fraud can be detected by verifying the overall transaction records manually, but it requires significant amount of human resources, and ultimately is not a practical approach. Frauds also can be revealed by victim's report or complaint. But there are usually no victims in the agricultural product wholesale frauds because they are committed by collusion of an auction company and an intermediary wholesaler. Nevertheless, it is required to monitor transaction records continuously and to make an effort to prevent any fraud, because the fraud not only disturbs the fair trade order of the market but also reduces the credibility of the market rapidly. Applying data mining to such an environment is very useful since it can discover unknown fraud patterns or features from a large volume of transaction data properly. The objective of this research is to empirically investigate the factors necessary to detect fraud transactions in an agricultural product wholesale market by developing a data mining based fraud detection model. One of major frauds is the phantom transaction, which is a colluding transaction by the seller(auction company or forwarder) and buyer(intermediary wholesaler) to commit the fraud transaction. They pretend to fulfill the transaction by recording false data in the online transaction processing system without actually selling products, and the seller receives money from the buyer. This leads to the overstatement of sales performance and illegal money transfers, which reduces the credibility of market. This paper reviews the environment of wholesale market such as types of transactions, roles of participants of the market, and various types and characteristics of frauds, and introduces the whole process of developing the phantom transaction detection model. The process consists of the following 4 modules: (1) Data cleaning and standardization (2) Statistical data analysis such as distribution and correlation analysis, (3) Construction of classification model using decision-tree induction approach, (4) Verification of the model in terms of hit ratio. We collected real data from 6 associations of agricultural producers in metropolitan markets. Final model with a decision-tree induction approach revealed that monthly average trading price of item offered by forwarders is a key variable in detecting the phantom transaction. The verification procedure also confirmed the suitability of the results. However, even though the performance of the results of this research is satisfactory, sensitive issues are still remained for improving classification accuracy and conciseness of rules. One such issue is the robustness of data mining model. Data mining is very much data-oriented, so data mining models tend to be very sensitive to changes of data or situations. Thus, it is evident that this non-robustness of data mining model requires continuous remodeling as data or situation changes. We hope that this paper suggest valuable guideline to organizations and companies that consider introducing or constructing a fraud detection model in the future.

• Journal of Distribution Science
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• v.12 no.2
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• pp.7-16
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• 2014

Purpose - The purpose of this study is to target Chinese consumers of Korean agri-food through the analysis of agri-food brand identity images to set future directions for proposed agri-food exports to China. Since negotiations began for a free trade agreement (FTA) between Korea and China, some Koreans have worried about the Korean agriculture sector. The world trading system has undergone many changes in recent years. Since the start of FTA negotiations on agriculture, China and Korea have faced a heightened sense of crisis. China is trying to export agricultural products so actively that its agricultural exports could increase by more than 7% annually. China exported about one-tenth of its agricultural products to Korea in the period 2002-2010. Recently, the importance of brand identity has tended to increase, as the world becomes one unified market. In this situation, we should try to promote agri-food exports to China. It is very important to understand consumers' recognition of Korean food and the image of the Korean agri-food industry, to establish an export strategy. Research design, data, and methodology - This study targeted 2,800 adult men and women aged 25-59 years living in four major cities in China (Beijing, Shanghai, Guangzhou, and Qingdao) with a household income within the top 10% level in the China, using the one-to-one interview survey method. In addition, four groups by region (eight people per group) for a total of 32 groups were surveyed by using the focus group interview (FGI) research method, and impressions of imported agri-food were surveyed using 17 questions about fresh agri-food and 22 questions on processed agri-food. Factor analysis, brand positioning, biplot analysis, and so on, were carried out based on the results of these surveys. This research presents the brand identity of Korean food; according to the analyses, the brand identity is based on trust, safety, and attractiveness. Result - Factor analysis results showed that Chinese consumers expect four major qualities in imported fresh agri-food: freshness/safety, attractive appearance, premium branding, and excellent taste/quality. In the case of processed agri-food, it turned out that Chinese consumers are focused on safety/hygiene/freshness, health, and taste. In addition, in the fresh agri-food analysis by country, American foods had the upper hand; the image of American foods was also recognized as the most positive for processed agri-food. Meanwhile, according to the biplot analysis, Korean agri-food is strongly preferred for its appearance, but no country is strongly preferred as regards the level of freshness/safety that is expected by Chinese consumers. Conclusions - In this study, we analyzed the image of imported agri-food expected by Chinese consumers by reconstructing agri-food characteristics from the brand perspective. The research result shows that a Korean brand identity must be the ultimate goal for activities undertaken to enhance the image of Korean agri-food in the future. Additional research is needed because brand image can be formed through various channels.

• Journal of Mushroom
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• v.18 no.1
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• pp.95-99
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• 2020

The trade deficit in mushrooms has continued to increase in recent years. This study explored major issues and challenges faced by the mushroom industry to increase export, and to prioritize the current issues and challenges based on their relative importance. 11 major issues and challenges in the mushroom industry were highlighted in focus group interviews. Best-worst scaling analysis prioritized these major issues and challenges, and questionnaire surveys were completed by 31 mushroom industry experts. The results revealed that strengthening the mushroom quality and price competitiveness were the main priorities, followed sequentially by a diversification of the overseas export markets and stabilization of the domestic mushroom price.

• Journal of the Economic Geographical Society of Korea
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• v.11 no.2
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• pp.216-232
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• 2008

This paper aim to review the extent of Park Je-Ga's geographical interest and knowledge and where he intended to make good use of them through Bukhakui(北學議). In particular, it was classified and interpreted as the contents related to agricultural, industrial and commercial geography focusing on the contents of the economic geography. As for the contents related to agricultural geography, it suggests minutely and precisely the necessity and concrete methodology for farmland, seeding, fertilization, breeding of cattle, sericulture and fruits. As for the contents related to industrial geography, it lays emphasis on the pursuit of the modernization of ours by means of accepting high-tech, industrial engineering and knowledge from Western scholars who were staying in Beijing. As for the contents related to commercial geography, it puts emphasis on the conversion of idle labor capacity of the nobility to practical production capacity, the pursuit of economic vitalization by opening land transportation through wheels and the trade by sea with neighboring countries such as Qing, Japan, Ryukyu, Vietnam and so on. It can be known through this study that Park Je-Ga was a realist who made an effort to raise the economic power of the region and the country with using his endeavor of economic geographical interest and knowledge. His economic geographical interest and knowledge were connected directly with practical use. If his economic geographical knowledge and way of thinking had been accepted successfully at that time, the economic power in the latter half of the Joseon dynasty could have leaped to a considerable degree.