• 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.

• Journal of Internet Computing and Services
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• v.24 no.2
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• pp.67-74
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• 2023

Stock price prediction research in the financial sector aims to ensure trading stability and achieve profit realization. Conventional statistical prediction techniques are not reliable for actual trading decisions due to low prediction accuracy compared to randomly predicted results. Artificial intelligence models improve accuracy by learning data characteristics and fluctuation patterns to make predictions. However, predicting stock prices using long-term time series data remains a challenging problem. This paper proposes a stable and reliable stock price prediction method using K-means clustering-based data augmentation and normalization techniques and LSTM models specialized in time series learning. This enables obtaining more accurate and reliable prediction results and pursuing high profits, as well as contributing to market stability.

• Journal of Digital Convergence
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• v.20 no.1
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• pp.41-46
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• 2022

Chinese stock market often rises and falls sharply. The impact of the stock price crash risk has become a hot research field to maintain financial stability. This study starts from the perspective of the proportion of largest shareholders holding shares, and studies whether largest shareholders have more incentive to supervise management and reduce self-interest behavior of management. We use the data of Chinese listed companies from 2009 to 2019 as a sample, and study the relationship between largest shareholders and share price crash risk. Empirical research shows that the higher the proportion of largest shareholders of state-owned enterprise, the company's stock price crash risk can be significantly reduced. This study suggests that the higher the share of the largest shareholder, the lower the opportunistic behavior of managers and that information asymmetry between the company and the shareholders can be alleviated.

• Journal of Industrial Convergence
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• v.20 no.2
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• pp.11-19
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• 2022

This study examines the role of economic uncertainty in stock price determination in the domestic stock market. To this end, we analyzed the relationship between economic uncertainty indices at home and abroad (USA, China) and stock returns for non-financial companies in Korea from January 2000 to 2017. For the analysis model, the 3-factor model of Fama and French (1992) and the 5-factor model including momentum and liquidity were used. As a result of the analysis, a portfolio with a high beta of economic uncertainty showed higher stock returns than a portfolio with a low beta. This was the same as the US analysis result. Also, the analysis results using the US uncertainty index were more significant than the regression analysis results using the Korean economic uncertainty index.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.12
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• pp.955-963
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• 2017

Nowadays, fintech becomes the key technology of the mobile banking and payments. Financial market is moved to fintech-based non-face-to-face trade/payment from traditional face-to-face process in Korea. Core of this transition is the smartphones, which have several sensitive sensors for personal identifications such as fingerprint and iris recognition sensors. But it has some originated security risks by data path attacks, for instance, hacking and pharming. Multi-level certification and security systems are applied to avoid these threats effectively, while these protections can be cause of some inconvenience for non-face-to-face certifications and financing processes. In this paper, I confirmed that it have sensible differences correspond with the data connection paths such as WiFi networks and mobile communication networks of the smartphones, and I propose a gradual certification method which alleviates the inconvenience by risk-level definitions of the data-paths.

• Journal of Korea Trade
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• v.27 no.2
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• pp.47-60
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• 2023

Purpose - This paper assesses the trade potential and efficiency of Korea and China in the aquatic products trade. Trade efficiency and potential are the main factors that affect the growth of a country's trade. In this study, a time-varying stochastic frontier trade gravity model was constructed to analyze the trade potential and efficiency between Korea and China. By integrating the results of trade theory and empirical analysis, measures and suggestions were proposed to encourage the release of trade potential of fish exports between Korea and China. Design/methodology - In this paper, GDP per capita instead of economic size was chosen as an explanatory variable, and population size and relative distance were selected as explanatory variables to measure trade potential. For trade non-efficiency terms, regional organizations, political factors, and economic factors were mainly considered, and variables such as free trade agreements, political stability, regulatory quality, government efficiency, currency freedom, investment freedom, financial freedom, and trade freedom were selected. Panel data for South Korea and 14 aquatic products trading partners (including China) from 2002 to 2020 were used in the empirical analysis. Findings - In the past 19 years, South Korea's export trade potential of aquatic products to China has never been lower than 70%. It was above 90% from 2006 to 2018, and has been at a high level for a long time. This shows that China's aquatic product market has large potential for development. Originality/value - This study examines the effectiveness and potential of South Korea's exports of aquatic items to China in a methodical and comprehensive empirical manner. The evaluation of the export trade potential of South Korea's aquatic goods to China is more precise when the effects of regional organization, political, and economic variables are taken into account in the trade non-efficiency term of the stochastic frontier gravity model. At the same time, we propose to increase the scale of South Korea's aquatic products trade from the perspective of China's demand. This issue of trade studies is underexplored both empirically and in theory, although the issue has long been important to Korean and world trade.

• The Korean Journal of Franchise Management
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• v.5 no.1
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• pp.65-84
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• 2014

The purpose of this study is to review the theories and cases of performance sharing in the franchise industry to present a method for more effective franchise performance-sharing. To that end, this study reviewed the theory on resource dependence and the theory on inequality to describe the performance-sharing between the franchisor and the franchisee and their relationship. It also looked at the cases of a week-in cooler system at 'Beer Market', the allocation of fees for alcoholic beverage sales to franchisees, the scholarship program of 'Onigiri and Ikyudon' and 'Bonsamo' which is a franchisees' committee for Bonjuk to introduce examples of performance-sharing. Through a theoretical review and case review, this study presents five types of methods for performance-sharing. First, 'the sharing of core competence by the franchise company; second, 'the establishment of a royalty culture'; third, 'scientific analysis of markets and establishment of a revenue forecast system'; fourth, 'reinforced financial support from the franchisor'; and lastly, 'the positive application of franchisees' committees'. Such methods are expected to provide a groundwork for mutual benefit and co-prosperity between franchisor and franchisee.

• The Korean Journal of Franchise Management
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• v.1 no.1
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• pp.87-103
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• 2010

Today, banks offer banking services to a large number of customers by a branch network spread all over the nation. The quantity and quality of services are advanced by fierce competition in their field. So they are attracting customers based on high confidence in the financial industry. In spite of these developments, the retail bank market currently does not satisfy customers demands and various desires. In this research, the problems with banking services were observed. It was proposed that the banking services apply a franchise business model. First, this proposal will reduce the business expenses by collaborating profits with head office of banks and affiliates. Second, it will offer greater satisfaction to the customers. Through the mutual collaboration with head office of banks and affiliates in this proposal, it is anticipated that banks will reduce their business expenses and improve services for customers by offering convenient and fast banking services. It is also expected that the banks will expand and make up their weakness through increased profit and customers will be provided additional services.

• The Journal of Information Systems
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• v.32 no.1
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• pp.179-199
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• 2023

Purpose This study builds a prediction model to find stocks that can reach intrinsic value among KOSPI and KOSDAQ-listed companies to improve the stability and profitability of the stock investment. And investment simulations are conducted to verify whether stock investment performance is improved by comparing the prediction model, random stock selection, and the market indexes. Design/methodology/approach Value investment theory and machine learning techniques are applied to build the model. Various experiments find conditions such as the algorithm with the best predictive performance, learning period, and intrinsic value-reaching period. This study selects stocks through the prediction model learned with inventive variables, does not limit the holding period after buying to reach the intrinsic value of the stocks, and targets all KOSPI and KOSDAQ companies. The stock and financial data are collected for 21 years (2001-2021). Findings As a result of the experiment, using the random forest technique, the prediction model's performance was the best with one year of learning period and within one year of the intrinsic value reaching period. As a result of the investment simulation, the cumulative return of the prediction model was up to 1.68 times higher than the random stock selection and 17 times higher than the KOSPI index. The usefulness of the prediction model was confirmed in that the number of intrinsic values reaching the predicted stock was up to 70% higher than the random selection.

• International conference on construction engineering and project management
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• 2017.10a
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• pp.138-145
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• 2017

As that experienced in other developing countries, Mongolia has already faced multilateral side issues for two decades due to economic growth that created Ger areas or internationally 'Slum', public housing and living conditions for low-income citizens, on the basis of rapid migration from rural areas to urban. Ger areas appear to be the main cause of environmental pollution problems and impending comfortable living conditions of the city's residents by covering more than half area of Ulaanbaatar city. Also, the spread of the Ger areas has many side issues such as prevention of urban development and unaesthetic. Most inhabitants of the areas are on low-incomes, and living in the detached houses or felt yurts (Ger) usually build within a low budget, by themselves or unprofessional people, and by using materials of poor quality. Therefore, Ger areas are an inevitable issue that requires effective, proper and immediate housing policy coordination under the government and even the housing market. Unfortunately housing policies, laws, and projects adopted by Mongolian government have shown inefficient results. The government housing policies, unlike other developing countries did not target low-income households' housing which is the priority issue for two decades. But only in 2014, the Long-term housing policy with the strategy for affordable housing initiated the housing policy for low-income households. This policy has five main broad directions such as redevelopment of Ger area, the land readjustment, public rental housing, new settlements and new city and reconstruction for old apartments, which are rather general and would require tremendous financial resources if each of the directions is implemented simultaneously without prioritization. Therefore this research aims to suggest the efficient and adequate housing policy direction for the low-income households in Ger area based on achievement of other developing countries' strategies, performances and generic characteristic with explanatory models. Also, this research adopts a literature analysis method that uses various research reports, related papers in domestic and international journals, and theses by experts, researchers, public institutions, and agencies.