• Title/Summary/Keyword: market price system

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Exploratory Study on Buyer-Supplier Relationship in Dongdaemun Market: From Buyer Perspectives of Fashion Stores (동대문시장의 구매자-공급자 관계에 관한 탐색적 연구: 동대문 패션 점포의 구매자적 시각을 중심으로)

  • Jung, Ji-Wook;Choo, Ho-Jung;Chung, Ihn-Hee
    • Journal of Global Scholars of Marketing Science
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    • v.17 no.1
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    • pp.51-75
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    • 2007
  • Dongdaemun fashion market has been successfully positioned as a main hub for non-brand fashion product distribution in Korea. One of important competitive advantages of Dongdaemun market often quoted by retail researchers is an efficiently managed network system among supply chain members. This study aimed to examine the importance of buyer-supplier relationship elements and supplier properties from buyers' perspectives (small & very small-sized fashion stores in Dongdaemun market), and to identify the determinants of the relationship length between suppliers and buyers. Survey responses of 233 stores were analyzed using EQS 6.1 for Window and SPSSWIN 10.0. The findings could be summarized as follows: First, fashion stores perceived that right delivery as the most important factor, and geographically closeness, design capability, quality, and lower price followed in order. Second, the characteristics of stores such as location, wholesaling versus retailing focusing, monthly sales, and total business length all affected the perceived importance of buyer-supplier relationship. Third, design capacity, communication, power was identified as determinants of actual relationship length with a supplier, while communication and trust were found to be determinants of future expected relationship length.

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A Study on Court Auction System using Ethereum-based Ether (이더리움 기반의 이더를 사용한 법원 경매 시스템에 관한 연구)

  • Kim, Hyo-Jong;Han, Kun-Hee;Shin, Seung-Soo
    • Journal of Convergence for Information Technology
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    • v.11 no.2
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    • pp.31-40
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    • 2021
  • Blockchain technology is also actively studied in the real estate transaction field, and real estate transactions have various ways. In this paper, we propose a model that simplifies the authentication procedure of auction systems using Ethereum's Ether to solve the problem of offline court auctions. The proposed model is written in Ethereum's Solidity language, the court registers the sale date and the sale date with the DApp browser, and the bidder accesses the address of the individual's wallet created through Metamask's private key. The bidder then selects the desired sale and enters the bid price amount to participate in the auction. The bidder's record of the highest bid price for the sale he wants is written on the Ethereum test network as a smart contract. and creates a block. Finally, smart contracts written on the network are distributed by the court auction manager to all nodes in the blockchain network, and each node in the blockchain network can be viewed and contract verified. As a result of analyzing the smart contracts of the proposed model and the performance of the system, there are fees incurred due to the creation and use of Ether on platforms using Ethereum, and participation. Ether's changes in value affect the price of the sale, resulting in inconsistent fees in smart contracts each time. However, in future work, we issue our own tokens to solve the market volatility problem and commission problem with the value change of Ether, and refine complex court auction systems.

A Study on the Cooperative Marketing of Fishery Products in Korea (수협 마아케팅에 관한 연구)

  • 안세원
    • The Journal of Fisheries Business Administration
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    • v.17 no.1
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    • pp.77-106
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    • 1986
  • In the field of fisheries, there is at the apex Central Federation of Fishery Cooperatives, established under the Fishery Cooperatives Law(1962), It is a multipurpose organization with a membership of 105 cooperatives, 87 regional cooperatives, 15 business-type cooperatives and 3 manufactures' cooperatives. Accordingly, this thesis examines the marketing of fishery cooperatives in Korea, and in particular considers the marketing channel strategy of fisheries products. No company can perform by itself all the activities involved in the production and distribution of its products and services to its final markets. It must work with other firms to get the job done. Thus marketing channel firms of the fisheries products include primarily the fishery cooperatives, the licensed In the field of fisheries, there is at the apex Central Federation of Fishery Cooperatives, established under the Fishery Cooperatives Law (1962). It is a multipurpose organization with a membership of 105 cooperatives, 87 regional cooperatives, 15 business-type cooperatives and 3 manufactures' cooperatives. Accordingly, this thesis examines the marketing of fishery cooperatives in Korea, and in particular considers the marketing channel strategy of fisheries products. No company can perform by itself all the activities involved in the production and distribution of its products and services to its final markets. It must work with other firms to get the job done. Thus marketing channel firms of the fisheries products include primarily the fishery cooperatives, the licensed dealers and the merchant middlemen. The goal of marketing is in matching of segments of supply and demand. Every producer seeks to the link the marketing channel firms that will help it accomplish its objective best. This thesis tries to attempt to improve the present Korean Fishery Cooperatives marketing activities. The purpose of the operation of fishery cooperatives is to guarantee the profits of fisherman as well as the interests of general consumers by eliminating the inordinate profits of middlemen and by narrowing other market margins. Fishery cooperatives marketing activity functions forming a self-helf organization for economic protection of producers themselves, and acting as a market reformational institution through its transaction by group. The following are the characteristics of fishery cooperatives marketing. \circled1 Fishery cooperatives is organized with an economic factor and a personnel factor. \circled2 Fishery cooperatives is non-profit organization. \circled3 The members of fishery cooperatives is independent constitution of economy, but they are closely connected with the cooperative. \circled4 Fishery cooperatives is a mutual aid organization. The objective of an efficient marketing strategy may be well described by the common saying provides the right product at the right time, the right place, and the right price. But it is quite true that the Korean Fishermen's Cooperative can be said to owe its development to the successful implementation of the marketing system. The use of the marketing system has resulted in the following marketing strategy. 1. The direct marketing system. \circled1 The cooperation between the fishery cooperatives and the other cooperative through the collection and delivery center. \circled2 The selling between the fishery cooperatives and the large scale retailers through the process industry. 2. The vertical marketing system. \circled1The fishermen's cooperative to be nominated by wholesaler in the terminal market. \circled2 Contracted vertical marketing system. \circled3 Abolition of selling by double auction in the landing and the terminal market. 3. The physical distribution system. \circled1 The need for adoption of cold chain system to connect production directly to consumption. \circled2 The need for more expansion of landing markets and terminal market facilities. Solutions to the problems of the Korean fishery are made possible through effective functioning of cooperative marketing activities of fishery products. The marketing concept of fishermen's cooperative lies in the satisfaction of consumer needs. According to the marketing concept fishermen's cooperative should try to satisfy customer's needs through a coodinated set of activities that allows the organization to achieve its goal. Providing satisfaction to customers is the major trust of the marketing concept. To do this, a business must find out what will satisfy customers. With this information the cooperative sells to the greatest possible number of customers through the most efficient sales and marketing channels. Economic rationality of fishermen's cooperative marketing lies in reduction of marketing cost and elimination of intermediate institutions. Cooperative marketing and direct marketing are both indispensable marketing factors for a new cooperative organization among the manu ways. The cooperation between the fishermen's cooperative and the others cooperative, and vertical marketing system are the most necessary ones. Propulsion of cooperative marketing system could not be successful without the support of the marketing instituion's help. Consequently, successful cooperative marketing ought to lead to the necessity not only for the improvement of marketing organization, but for the application of a new marketing concept in the fishermen's cooperative.

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The prediction of the stock price movement after IPO using machine learning and text analysis based on TF-IDF (증권신고서의 TF-IDF 텍스트 분석과 기계학습을 이용한 공모주의 상장 이후 주가 등락 예측)

  • Yang, Suyeon;Lee, Chaerok;Won, Jonggwan;Hong, Taeho
    • Journal of Intelligence and Information Systems
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    • v.28 no.2
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    • pp.237-262
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    • 2022
  • There has been a growing interest in IPOs (Initial Public Offerings) due to the profitable returns that IPO stocks can offer to investors. However, IPOs can be speculative investments that may involve substantial risk as well because shares tend to be volatile, and the supply of IPO shares is often highly limited. Therefore, it is crucially important that IPO investors are well informed of the issuing firms and the market before deciding whether to invest or not. Unlike institutional investors, individual investors are at a disadvantage since there are few opportunities for individuals to obtain information on the IPOs. In this regard, the purpose of this study is to provide individual investors with the information they may consider when making an IPO investment decision. This study presents a model that uses machine learning and text analysis to predict whether an IPO stock price would move up or down after the first 5 trading days. Our sample includes 691 Korean IPOs from June 2009 to December 2020. The input variables for the prediction are three tone variables created from IPO prospectuses and quantitative variables that are either firm-specific, issue-specific, or market-specific. The three prospectus tone variables indicate the percentage of positive, neutral, and negative sentences in a prospectus, respectively. We considered only the sentences in the Risk Factors section of a prospectus for the tone analysis in this study. All sentences were classified into 'positive', 'neutral', and 'negative' via text analysis using TF-IDF (Term Frequency - Inverse Document Frequency). Measuring the tone of each sentence was conducted by machine learning instead of a lexicon-based approach due to the lack of sentiment dictionaries suitable for Korean text analysis in the context of finance. For this reason, the training set was created by randomly selecting 10% of the sentences from each prospectus, and the sentence classification task on the training set was performed after reading each sentence in person. Then, based on the training set, a Support Vector Machine model was utilized to predict the tone of sentences in the test set. Finally, the machine learning model calculated the percentages of positive, neutral, and negative sentences in each prospectus. To predict the price movement of an IPO stock, four different machine learning techniques were applied: Logistic Regression, Random Forest, Support Vector Machine, and Artificial Neural Network. According to the results, models that use quantitative variables using technical analysis and prospectus tone variables together show higher accuracy than models that use only quantitative variables. More specifically, the prediction accuracy was improved by 1.45% points in the Random Forest model, 4.34% points in the Artificial Neural Network model, and 5.07% points in the Support Vector Machine model. After testing the performance of these machine learning techniques, the Artificial Neural Network model using both quantitative variables and prospectus tone variables was the model with the highest prediction accuracy rate, which was 61.59%. The results indicate that the tone of a prospectus is a significant factor in predicting the price movement of an IPO stock. In addition, the McNemar test was used to verify the statistically significant difference between the models. The model using only quantitative variables and the model using both the quantitative variables and the prospectus tone variables were compared, and it was confirmed that the predictive performance improved significantly at a 1% significance level.

An Analysis on North Korean Impoverishment and Marketization in Terms of Economic System (경제제도 측면에서 북한의 빈곤화와 시장화에 대한 분석)

  • Kwak, In-ok;Moon, Hyung-Nam
    • International Area Studies Review
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    • v.21 no.2
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    • pp.71-96
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    • 2017
  • This study analyzes the process of overcoming the impoverishment due to the failure of North Korea planned economy through marketization. Recognizing the economic policy presented by the convergence of market and planned economy system as a economy system and focusing on the 7.1 Economic Management Measures and the 6.28 New Economic Management Measures. The marketization is classified the indigenous marketization (1990-2001), the marketization focusing on central distribution (2002-2011), the marketization focusing on production (2012-2017). The major events, the economic circular structure and the economic behavior were analyzed. Results showed as following: First, through the process of marketization starting from the expansion of farmers' market and the marketization focusing on distribution, the marketization focusing on production to the marketization focusing on finance. And as the evolution of it continues, to some extent a poverty has been overcomed. Second, corporate institutions, agricultural institutions, financial institutions and progress in becoming a market economy direction. A series of privatization starting from small one to large-scale one have been progressing. Third, in order to overcome the impoverishment completely. Through foreign investment the industrialization covering a wide range of industries are urgently needed, Domestic agricultural reform, enterprise reform, price reform, financial reform, financial reform, trade and direct investment, reform, reform, distribution, etc are needed. The economic reforms across almost all sectors are needed to be combined in a global economy Expanding employment, the acquisition of foreign currencies and the acquisition of technology in the process should also be realized. The direction of change of this series of economic structures has turned Public sector and centralized into Private sector and Decentralization.

DEVELOPMENT OF ERP INTEGRATION SYSTEM FOR SPORTS INDUSTRY IN TAIWAN

  • Yan-Chyuan Shiau;Yu-Min Hsu;Shu-Jen Sung;Chih-Kun Chu;Hsiang-Lun Cheng;Tsung-Pin Tsai
    • International conference on construction engineering and project management
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    • 2005.10a
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    • pp.1028-1035
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    • 2005
  • Traditional Industries were planning the major role for Taiwan's economy. However, we need to face the competition from developing countries. Moving manufacturing department to other low salary countries, such as China, can only temporarily release some limited pressure. The final and complete solutions are to equip on R&D, refine techniques, improve management capabilities, upgrade business, and reform physique. Currently there are some ERP systems on the market; however, they are designed for common purpose and difficult to introduce into industry. The expensive price is another factor to make them be popular. In this research we will Object Oriented, Visual Modeling, ER Model and Windows Environment to develop an Integrated Management System for Sports Requisites Industries (IMSSRI). We will integrate all information from all departments such as development, business, material administration, manufacture, shipping, and financial. When development people construct the all modules, components, cutting molds, materials and accessories, IMSSRI will calculate all needed materials and cost for each product. This cost will be used for quotation to report to our customers. When customers confirm the order, system will transfer all necessary materials into Material Administration System. IMSSRI can generate manufacturing forms and material raw lists for manufacture department. All related information such as stocking, returning goods, material requesting, and material returning can be integrated so we can control all details of the whole enterprise. Through the help of this system, we hope we can save man-power, reduce human mistakes, raise management capabilities for tradition manufacturing industries and create another possibility of eternal operating for Taiwan's Industries.

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The Prediction of Currency Crises through Artificial Neural Network (인공신경망을 이용한 경제 위기 예측)

  • Lee, Hyoung Yong;Park, Jung Min
    • Journal of Intelligence and Information Systems
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    • v.22 no.4
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    • pp.19-43
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    • 2016
  • This study examines the causes of the Asian exchange rate crisis and compares it to the European Monetary System crisis. In 1997, emerging countries in Asia experienced financial crises. Previously in 1992, currencies in the European Monetary System had undergone the same experience. This was followed by Mexico in 1994. The objective of this paper lies in the generation of useful insights from these crises. This research presents a comparison of South Korea, United Kingdom and Mexico, and then compares three different models for prediction. Previous studies of economic crisis focused largely on the manual construction of causal models using linear techniques. However, the weakness of such models stems from the prevalence of nonlinear factors in reality. This paper uses a structural equation model to analyze the causes, followed by a neural network model to circumvent the linear model's weaknesses. The models are examined in the context of predicting exchange rates In this paper, data were quarterly ones, and Consumer Price Index, Gross Domestic Product, Interest Rate, Stock Index, Current Account, Foreign Reserves were independent variables for the prediction. However, time periods of each country's data are different. Lisrel is an emerging method and as such requires a fresh approach to financial crisis prediction model design, along with the flexibility to accommodate unexpected change. This paper indicates the neural network model has the greater prediction performance in Korea, Mexico, and United Kingdom. However, in Korea, the multiple regression shows the better performance. In Mexico, the multiple regression is almost indifferent to the Lisrel. Although Lisrel doesn't show the significant performance, the refined model is expected to show the better result. The structural model in this paper should contain the psychological factor and other invisible areas in the future work. The reason of the low hit ratio is that the alternative model in this paper uses only the financial market data. Thus, we cannot consider the other important part. Korea's hit ratio is lower than that of United Kingdom. So, there must be the other construct that affects the financial market. So does Mexico. However, the United Kingdom's financial market is more influenced and explained by the financial factors than Korea and Mexico.

A study on the organization and management of the Jeju soybean cluster (제주 콩 클러스터 구축 방안에 관한 연구)

  • Ko, Seong-Bo;Hyun, Chang-Seok
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.10
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    • pp.3740-3746
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    • 2010
  • Jeju soybean industry is not competitive in areas of food-safety, quality, price, and bargaining power. Also, the processing products of soybean are simply-processed product. They are short of diversified product. The size of processing company is very small. The purpose of this study is to review and suggest programs for the construction and management of a network among farmhouseholds, agricultural cooperatives, manufacturing companies, related research institutes, and the local government, which are integrated vertically, horizontally and systematically. Jeju soybean cluster consists of production system, research & development system, industrial-support system, practical technology-support system, and center of operation. This system will help farmers get stable sales market & income. Also, It will help farmers produce the production of environment-friendly agricultural raw products.

Simplified GIS Diagnostic SYSTEM (간이형 상시 GIS 진단장치)

  • Jeong, J.K.;Choi, Y.J.;Kang, C.I.;Jang, H.K.;Gwak, H.S.
    • Proceedings of the KIEE Conference
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    • 2006.05a
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    • pp.74-77
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    • 2006
  • This research is focused on the development of GIS Diagnostic SYSTEM to prevent accidents beforehand by inspecting the internal defects of GIS (Gas Insulated Switchgear) which is a main power-facility for substations. GIS Diagnostic SYSTEM is categorized as 'Real time on-line test type' and 'Portable test type' depending on the types of testing, it uses PD(partial discharge) which mostly incurs in GIS internal defects, to inspect. As of now, mostly foreign equipments are imported for use due to the lack of the technology localization, and these are installed and operated on only some parts of highly-graded GIS power-facilities such as in 76skv or 345kv for its being expensive. Furthermore, other than foreign equipments being costly, it also has a weak point of very long unavailability in case of Diagnostic system break-down while using, because it takes a comparatively long period of corrective maintenance precesses. We have localized to develop personal real-time multi -functional GIS Diagnostic system which can test on all GIS power-facility comprehensively and economically therefore overcome all these problems mentioned above, a market expansion is expected from the decrease of price and replacing the import equipments in the future. As the equipment was developed to be Personal for the simple ways of installing and utilizing, it can be operated without any complex cable installation like other existing GIS Diagnostic system requires, therefore also decrease the cost of cable installation.

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A Feasibility Study on the Research Infrastructure Project of System Semi-Conductor Industry (시스템 반도체산업 기반조성사업의 타당성 분석 연구)

  • Kim, Dae Ho
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.9 no.2
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    • pp.87-95
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    • 2014
  • The High-price development & testing tools and IP infratstructures are required for the development of system semi-conductors, but SMEs have not ability to prepare for them. Recently in terms of the miniaturization and the advancement of semiconductor process, the cost of the semi-conductor development have shown the rising tendency and the market-based design tools used are requied to be upgraded due to the advancement in the environment and technology. On the contray, many other contries such as Taiwan, Japan, China, and User are supporting this system semi-conductor industry. Korean government is trying to build the research infrastructure for system semi-conductor industry that aims to reduce the costs of the design infrastructure investment, to support the companies of system semi-conductor development and to incubate the fab-less start-ups. This study analyzes the feasibility of the project, by using the AHP analysis and the results shows that this project is considered feasible because the AHP overall score is evaluated as 0.840, the overall score is greater than or equal to 0.55.

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