• Journal of Cadastre & Land InformatiX
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• v.46 no.2
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• pp.137-153
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• 2016

The price of agricultural products has changed from year to year, the m ajor c ause o f price fluctuation is the imbalance of supply and demand. Materials which are mainly used in korean cabbage production volume is the forecast model, using the cadastral result, slope calculation is impossible to achieved. For this reason, this implies the drastic decrease of prices and the prediction of supply and demand of field crops that is cultivated in a highland slope area, this situation is being repeated. Therefore, the target area of this research is the slopes of high land, by using 2D and 3D Lidar data for the analysis of the cultivated area. Experiment was carried out in the same area to compare the data differences. The rate of change in the area of slope is quantitatively increasing presented by the regression model. An alternative methodology that can improve the reliability of the calculated slope area using 2D is through cadastral map.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.23
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• pp.71-91
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• 2004

The purpose of this paper is to examine the effects and problems of acceptance with modifications according to CISG Art. 19, comparing with UCC ${\S}2-207$. First of all this author raised two legal issues encountered when there is an acceptance with modifications. Scenario one is as follows : "Before either party has taken further action, there is a rise or a fall in the price of goods, was there a binding contract ?" The UCC rules provide for a contract if a purchaser sends out a purchase order and the seller sends back a sales acknowledgement form, and the items on the front(the price, description, and quantity) match up. The CISG on the other hand, is that most of the terms and conditions on the backs of the forms are important. Therefore, if they are different, there should not be a contract. Scenario two is as follows : "There has been performance, A disputes arises. What terms and conditions apply ?" The CISG and the UCC will probably lead to different results in the event the parties exchange conflicting forms and subsequently perform. Assuming that the offeree's reply contains terms that are materially different from the offer, the UCC provides that the resulting contract will include only those terms on which the writings of the parties agree, excluding conflicting terms. The CISG treats the material additions as a counter-offer and, in accordance with Art. 18, the offeree's performance may be regarded as an acceptance of a contract containing all of the offeror's terms ; or the offeror's performance may be regarded as an acceptance of a contract containing all of the offeree's terms. Second, this author raised three problems in the Art. 19 as follows ; 1) It is very difficult in practical application to decide what is material alterations even if the CISG lists material terms as an example. 2) There is a possibility for the offeror to speculate in the circumstance of market fluctuation as he has a change to object to the discrepancy in the offeree's reply. 3) There is also a possibility of inducement for the offeror or the offeree to send its own reply as a last shot.

• The Journal of Society for e-Business Studies
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• v.20 no.2
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• pp.1-14
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• 2015

In this paper, we investigate the relationship between Internet search trends and stock market. Under the assumption that investors may use Internet search engine to obtain information for companies of their interests before taking actual investment actions, the relationship between the changes on Internet search volume and the fluctuation of trading volume as well as stock price of a company is analyzed with actual market data. A search trend investment strategy that reflects the changes on Internet search volume is applied to large enterprises' group and to small and medium enterprises' (SMEs) group, and the correlation between profit rate and trading volume is analyzed for each company group. Our search trend investment strategy has outperformed average stock market returns in both KOSPI and KOSDAQ markets during the seven-year study period (2007~2013). It is also shown that search trend investment strategy is more effective to SMEs than to large enterprises. The relationship between changes on Internet search volume and stock trading volume is stronger at SMEs than at large enterprises.

• Korean Journal of Poultry Science
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• v.11 no.1
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• pp.33-39
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• 1984

The pattern of economic integration in the broiler industry can be grouped into three categories; 1) non-integration, 2) quasi-integration and 3) complete-integration. It is general to see that the non-integration is quite common under the market conditions of perfect competition, whereas the complete integration is more preferable in the imperfect competition. The quasi-integration, however, exists at all phases where the complete integration is not fully formed and implemented, but the non-integration has begun to alter its nature into integrated structure. The broiler industry in Korea has been characterized with the typically non-integrated independent operation, resulting in considerable price fluctuation and unstable industry as a whole. As a means of solving out the problem stemed from the non-integrated, growers and agribusinessmen involved in broiler industry have tended to develope the regular customer relationship prevailed between two parties. In fact, it has been practiced for years that most growers have been dealt with factor suppliers or processors on a regular basis for advantages of better price and quality, useful information, management help and so forth. Under the customary transaction, no formal contract has been made due to simple buyers and sellers relations, not like the one used to be performed in the form of contractual agreement. The broiler industry realizes the direction to go ahead toward the formal arrangement of integrated system from current regular transactions. As more Vowers, suppliers and processors recognize the necessity of it, the non-integrated industry appears to become the partially integrated by developing the existing customer relationship in such a way that functions of integrators are. further expanded and better organized. As a result, a type of quasi-integration started to show up by an integrator dominated in the field of hatching, feedmilling, dressing and by a grower's coop, It is concluded, therefore, that the evolution of quasi-integration in Korea's broiler industry is continuously taking place, implying the close approach to the completely integrated broiler production and marketing system.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.3
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• pp.474-485
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• 2008

The purpose of this study is to examine the determinants and elements to enhance Korean international competitiveness, employing Porter's(1998) Diamond Model. Half of the 500 leading apparel exporters that were members of the Korea Apparel Industry Association in 2003 were selected as the target of this research. From May to June of 2003, survey questionnaires were sent to executives of these 250 companies in person or by telephone, e-mail, or fax. Seventy questionnaires were used for the final data anlysis. The items used were Reliability, Categorical Regression, and Frequency, using SPSS 11.5. The results were as follows: First, as a result of analyzing the influence of international competitiveness in Korean apparel industry, the firm's strategy, structure, and rivalry was the most influential factor. Others were related and supporting industries, government, chance, demand conditions, and factor conditions. Also, the elements that affect Korean international competitiveness were listed as the level of price competition in foreign markets, the level of labor cost, export marketing capacity, and exchange fluctuation. The most important element to improve the international competitiveness of the Korean apparel industry was a demand growth rate of the overseas markets(Demand Conditions), followed by the level of the labor costs(Factor Conditions), the capability of internationalization(Firm Strategy, Structure, and Rivalry), the change of currency(Chance), the quality and management of products(Demand Conditions), the capability of planning products(Firm Strategy, Structure, and Rivalry), free trade from 2005(Chance), and global sourcing strategy(Firm Strategy, Structure, and Rivalry). Korea's main rival country in apparel related and supporting industry factors is China. However, Korea has a higher level of technology development, quality, and price level than China.

• Transactions of the Korean hydrogen and new energy society
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• v.20 no.1
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• pp.22-30
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• 2009

Energy environment has been changing rapidly such as the fluctuation of oil prices and the effect on UNFCCC. Oil price change affects Korea's economy heavily due to her poor natural resources and large dependence of consumed energy resources. Korea takes the 4th place of importing the crude oil and 9th place in $CO_2$ emissions with the 1st place of $CO_2$ emissions increasing rate. Considering the current statue of Korea including oil price change and UNFCCC, Korea will be expected to be the Annex I nation due to Korean energy environments and the quantity of $CO_2$ emission. Energy technology development is a crucial key to cope with Korea's national energy security and environments. In this study, we establish the framework, which allocates the relative weights of assessment criteria and sub-criteria, for assessing and selecting R&D programs of energy technologies strategically. We integrated fuzzy theory and analytic hierarchy process (AHP) approach since the fuzzy AHP approach reflects the vagueness of human thoughts and perception effectively as making pairwise comparisons of criteria and alternatives. The fundamental data of this research results will support R&D planning phase for policy-makers and the production of well focused R&D outcomes.

• Journal of Information Technology Services
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• v.13 no.3
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• pp.221-233
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• 2014

Because people's interest of the stock market has been increased with the development of economy, a lot of studies have been going to predict fluctuation of stock prices. Latterly many studies have been made using scientific and technological method among the various forecasting method, and also data using for study are becoming diverse. So, in this paper we propose stock prices prediction models using sentiment analysis and machine learning based on news articles and SNS data to improve the accuracy of prediction of stock prices. Stock prices prediction models that we propose are generated through the four-step process that contain data collection, sentiment dictionary construction, sentiment analysis, and machine learning. The data have been collected to target newspapers related to economy in the case of news article and to target twitter in the case of SNS data. Sentiment dictionary was built using news articles among the collected data, and we utilize it to process sentiment analysis. In machine learning phase, we generate prediction models using various techniques of classification and the data that was made through sentiment analysis. After generating prediction models, we conducted 10-fold cross-validation to measure the performance of they. The experimental result showed that accuracy is over 80% in a number of ways and F1 score is closer to 0.8. The result can be seen as significantly enhanced result compared with conventional researches utilizing opinion mining or data mining techniques.

• Smart Media Journal
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• v.7 no.1
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• pp.45-51
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• 2018

Avian influenza (AI) is notorious for its rapid infection rate, and has a serious impact on consumers and producers alike, especially in poultry farms. The AI outbreak, which occurred nationwide at the end of 2016, devastated the livestock farming industries. As a result, the prices of eggs and egg products had skyrocketed, and the event was reported by the media with heavy emphasis. The purpose of this study was to investigate the correlation between the egg price fluctuation and the keyword changes in online news articles reflecting social issues. To this end, we analyzed 682 cases of AI-related online news articles for fourteen weeks from November 2016 in South Korea. The results of this study are expected to contribute to understanding the relationship between the actual price of eggs and the keywords from news articles related to social issues.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.159-168
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• 2020

The cryptocurrency market has received immense consideration in media and academia since the beginning of 2013 because of its huge price fluctuation. This study focuses on Arab investors who invest in the cryptocurrency market by investigating the influence of behavioral finance factors on investment decisions in the cryptocurrency market. A quantitative approach was used by employing a snowball sampling method through 112 questionnaires. The results show that herding theory, prospect theory, and heuristic theory have a significant effect on investors' investment decisions in the cryptocurrency market. This emphasizes the significant role of the proposed behavioral factors as determinants of the investors' investment decisions. This study contributes to the existing research by consolidating the results of different researches in this study. It also contributes to the investors' understanding of the dynamics of the cryptocurrency market and it enhances the ability to make informed decisions based on their understanding. The implication of the findings will prepare hit and run investors to be progressively prepared to stay in the cryptocurrency market and develop their abilities on the most proficient method to settle on sound venture choices. Furthermore, the findings of this study will encourage financial specialists to realize that information on the traditional finance theory is not adequate to excel in the cryptocurrency market.

• Journal of the Korean Data and Information Science Society
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• v.20 no.4
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• pp.655-660
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• 2009

As the global economic crisis, the Korean foreign exchange market appears unstable with large fluctuations in exchange rate. Inevitably, there is growing attention on price variables such as exchange rate and interest rates and also on corelation between the factors. This is an empirical study on the causality of fluctuation between exchange rate and interest rate in the Korean market under global economic crisis. The fluctuations in won/dollar exchange rate and call rate are described and followed by analysis of lead-lag relationship between the two variables using Cross-correlation function and Granger causality test.