• Spatial Information Research
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• v.22 no.3
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• pp.9-21
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• 2014

Recently the environment in geospatial information has conversed into the plaform. The platform based geospatial information contributes to save time and cost as well as maintain the consistency and stability in spatial data infrastructure. The Republic of Korea is now constructing and operating the spatial open platform called as the V-World(Virtual World), and searching for the possibility of its abroad export. The purpose of this study is to elicit the abroad export strategy by country of spatial open platform by comparing the cases of developing country, the Kingdom of Cambodia and newly developed country, the Emirate of Abu Dhabi, The Kingdom of Cambodia depends on foreign aids to develop the spatial data infrastructure and the Emirate of Abu Dhabi is inducing an advanced technology and high human power from overseas based on abundant oil money. This study establishes the abroad export strategy based on two country models such as Cambodia and Abu Dhabi by considering the characteristics in geospatial information, and suggests the ways of abroad export and the methods on fund raising for spatial open platform.

• Journal of Labour Economics
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• v.38 no.4
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• pp.1-29
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• 2015

The Individual Retirement Pension (IRP) enables workers to continuously receive a retirement pension even when workers change their jobs in different companies and so it performs a bridge fund as the complimentary living expenses until they receive government public pension. Although the Korean government has forced workers to maintain an IRP account until their retirement age and to close their accounts only when they want to do so, it is not clear to measure its really effectiveness and, in fact, most of IRP accounts have been terminated immediately after the changes of their jobs. In this respect, IRP has not performed the bridge role for the future retirement pension income. We provide an economic decision-making model of both government and workers, where the retirement benefits related with the IRP are explicitly considered. Our model is required to select specific severance pay systems to maximize the income security and stability for their future old ages. It is concluded that the need of workers on the severance pay system is automatically revealed into the switch to IRP when workers are out from their current jobs, which is equivalent to the effect of gradually unifying the dual system of the retirement payment. In additoin, our empirical data indicates the relatively higher probability of termination on IRP for the older male workers having the more retirement deposit.

• 한국벤처창업학회:학술대회논문집
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• 2009.10a
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• pp.223-243
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• 2009

In the early 1990's internation al security environment bring on the change. So each countries should have renewed the defence policy. The developed countries make efforts to keep the superiority of military industry with an high technology and huge capital. One of the efforts is the defence industry exhibitions for the management performance regarded as the marketing strategic principal method. The result of the opening exhibitions has been studied by research papers and treatises. A exhibitions' goal is different from an it's characteristic, type, industry, participator, institution and participating nation. An enterprise's management performance is runs as follows. First, an exhibitions participation activation has an effect re-participation following the satisfaction. Second, an exhibitions participation activation contributes to be on sale promotion, The result of the exhibitions participation is classified with sale performance and non-sale performance. The third, an exhibitions participation activation contributes to the effective company management. The huge fund advertisement is a financial burden, but a exhibitions takes effect one-fifth economical retrenchment. Accordingly, this study researched the exhibition participation choice properties, an exhibitions participation activation properties and investigated the Korea defence industry's income statement, balance sheet, growth ratios, profitability ratios, productivity ratios, stability ratios which were substitute for the enterprise's management performance through the exhibitions participation costs and the number of times.

• Management & Information Systems Review
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• v.28 no.3
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• pp.141-159
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• 2009

In the early 1990's, international security environment bring on the change. So each countries should have renewed the defence policy. The developed countries make efforts to keep the superiority of military industry with an high technology and huge capital. One of the efforts is the defence industry exhibitions for the management performance regarded as the marketing strategic principal method. The result of the opening exhibitions has been studied by research papers and treatises. A exhibitions' goal is different from an it's characteristic, type, industry, participator, institution and participating nation. An enterprise's management performance is runs as follows. First, an exhibitions participation activation has an effect re-participation following the satisfaction. Second, an exhibitions participation activation contributes to be on sale promotion, The result of the exhibitions participation is classified with sale performance and non-sale performance. The third, an exhibitions participation activation contributes to the effective company management. The huge fund advertisement is a financial burden, but a exhibitions takes effect one-fifth economical retrenchment. Accordingly, this study researched the exhibition participation choice properties, an exhibitions participation activation properties and investigated the Korea defence industry's income statement, balance sheet, growth ratios, profitability ratios, productivity ratios, stability ratios which were substitute for the enterprise's management performance through the exhibitions participation costs and the number of times.

• Information Systems Review
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• v.11 no.3
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• pp.63-82
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• 2009

In B2B e-Commerce(Business to Business Electronic Commerce) market, many companies use B2B e-Commerce Guarantee Service. Guarantee service raised the stability of collect debts for seller, and made purchase fund for buyer. The purpose of this study is development of KPI (Key Performance Index) for measuring performance and improving service quality. Through analysis for 'B2B e-Commerce Guarantee Intermediary Service based on RFID', the study developed KPI and made the case. The study suggests KPI of B2B e-Commerce Guarantee Intermediary Service based on RFID by IT BSC(Balanced Scorecard) model. The process of developing KPI is 4 phase. First phase is connection between service goal and KPI, second phase is make a KPI pool, third phase is development of standard for valuating and selecting index, the last phase is defining and applying of index. This study suggests the standard of measuring performance in B2B e-commerce Guarantee Service and guidelines on revitalization of service in B2B e-commerce industry and the other industry.

• Journal of Intelligence and Information Systems
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• v.26 no.1
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• pp.135-149
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• 2020

Artificial intelligences are changing world. Financial market is also not an exception. Robo-Advisor is actively being developed, making up the weakness of traditional asset allocation methods and replacing the parts that are difficult for the traditional methods. It makes automated investment decisions with artificial intelligence algorithms and is used with various asset allocation models such as mean-variance model, Black-Litterman model and risk parity model. Risk parity model is a typical risk-based asset allocation model which is focused on the volatility of assets. It avoids investment risk structurally. So it has stability in the management of large size fund and it has been widely used in financial field. XGBoost model is a parallel tree-boosting method. It is an optimized gradient boosting model designed to be highly efficient and flexible. It not only makes billions of examples in limited memory environments but is also very fast to learn compared to traditional boosting methods. It is frequently used in various fields of data analysis and has a lot of advantages. So in this study, we propose a new asset allocation model that combines risk parity model and XGBoost machine learning model. This model uses XGBoost to predict the risk of assets and applies the predictive risk to the process of covariance estimation. There are estimated errors between the estimation period and the actual investment period because the optimized asset allocation model estimates the proportion of investments based on historical data. these estimated errors adversely affect the optimized portfolio performance. This study aims to improve the stability and portfolio performance of the model by predicting the volatility of the next investment period and reducing estimated errors of optimized asset allocation model. As a result, it narrows the gap between theory and practice and proposes a more advanced asset allocation model. In this study, we used the Korean stock market price data for a total of 17 years from 2003 to 2019 for the empirical test of the suggested model. The data sets are specifically composed of energy, finance, IT, industrial, material, telecommunication, utility, consumer, health care and staple sectors. We accumulated the value of prediction using moving-window method by 1,000 in-sample and 20 out-of-sample, so we produced a total of 154 rebalancing back-testing results. We analyzed portfolio performance in terms of cumulative rate of return and got a lot of sample data because of long period results. Comparing with traditional risk parity model, this experiment recorded improvements in both cumulative yield and reduction of estimated errors. The total cumulative return is 45.748%, about 5% higher than that of risk parity model and also the estimated errors are reduced in 9 out of 10 industry sectors. The reduction of estimated errors increases stability of the model and makes it easy to apply in practical investment. The results of the experiment showed improvement of portfolio performance by reducing the estimated errors of the optimized asset allocation model. Many financial models and asset allocation models are limited in practical investment because of the most fundamental question of whether the past characteristics of assets will continue into the future in the changing financial market. However, this study not only takes advantage of traditional asset allocation models, but also supplements the limitations of traditional methods and increases stability by predicting the risks of assets with the latest algorithm. There are various studies on parametric estimation methods to reduce the estimated errors in the portfolio optimization. We also suggested a new method to reduce estimated errors in optimized asset allocation model using machine learning. So this study is meaningful in that it proposes an advanced artificial intelligence asset allocation model for the fast-developing financial markets.

• Journal of Venture Innovation
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• v.6 no.3
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• pp.43-60
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• 2023

Although the importance of starting a business is being emphasized, it is not easy for a start-up to survive. Therefore, it is necessary to come up with a plan to strengthen startup satisfaction and improve the survival rate of startup companies. In this study, we examined the impact of start-up motivation, start-up capabilities, and start-up passion of start-up companies on start-up satisfaction, as well as the moderating effect according to the founding type of general start-up companies and startups. Entrepreneurship motivation was divided into self-actualization motivation and pro-social motivation. Entrepreneurship capabilities were divided into marketing capabilities and experience capabilities. Entrepreneurship passion was divided into harmonious passion and obsessive passion. Empirical analysis was conducted by receiving surveys from 361 managers of general and startup companies within 7 years of founding their businesses online and offline. As a result, self-actualization motivation, pro-social motivation, marketing competency, experiential competency, and harmonious passion had a significant positive (+) effect on startup satisfaction. However, obsessive passion did not have a significant effect. In addition, the magnitude of influence on startup satisfaction appeared in the following order: harmonious passion, marketing competency, self-actualization motivation, pro-social motivation, and experiential competency. The moderating effect according to the type of founding of general start-ups and startups was found in pro-social motivation, experience competency, and passion for harmony. However, there was no significant moderating effect between self-actualization motivation, marketing competency, obsessive passion, and entrepreneurship satisfaction. This study presented academic implications that harmonious passion and marketing capabilities are important factors in improving startup satisfaction. In addition, practical and policy implications were presented, including the need for programs to support the psychological stability of startup business owners, strengthening startup capabilities through experts, and strengthening startup education programs that can foster self-actualization motivation and pro-social motivation.