• Ocean and Polar Research
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• v.45 no.1
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• pp.11-22
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• 2023

For the commercial development of deep-sea mineral resources, the International Seabed Authority is engaged in wide ranging discussions to establish the Regulations on Exploitation. The core issue of the Regulations on Exploitation is how to protect the marine environment along with the royalty system that distributes the profits from such development. The United Nations Convention on the Law of the Sea stipulates the protection of the marine environment in Part 12 (Articles 192-237) for the preservation of the marine environment, and in the 1994 Implementation Agreement, the protection of the marine environment at the stage of application for approval of the plan of work together with the Regulations on Exploration for the protection of the marine environment. For this purpose, certain obligations are imposed on the applicants. In the Regulations on Exploitation, financial systems such as environmental performance guarantee, insurance, and environmental compensation funds, which were not found in the Regulations on Exploration, are added to further specify the measures for marine environment protection generally stipulated in the 1982 Law of the Convention or 1994 Implementation Agreement. Regarding the financial system for marine environment protection, the Marine Environmental Protection and Conservation Informal Working Group meeting is revising the purpose of the environmental compensation fund. Among these financial system elements, it is judged that there is a possibility that the environmental performance guarantee and insurance may overlap considerably, and it is also thought that the establishment of the environmental compensation fund can also provide a substantial sum of money that will meet the purpose of the compensation fund in terms of securing its financial resources. In this paper, the question is posed as to whether or not this can be accomplished. In this respect, this paper examines the environmental performance guarantee, insurance, and environmental compensation fund, which are necessary for the protection of the marine environment of the deep seabed, but which can impose appropriate obligations on contractors for the commercial development of deep seabed mineral resources. At the same time as figuring out how it is operated in relation to relevant domestic laws, I would like to propose a plan to reflect the implications derived from the domestic law operation process in the Regulations on Exploitation.

• Korean Journal of Organic Agriculture
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• v.14 no.4
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• pp.341-360
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• 2006

The paper describes condition success for the development and policy environment of organic farming in Korea. policy measures concerning area-based financial support for conversion to and continuation of organic farming, officially-recognized standards and support for market and regional development, advice and research are considered. This indicates that individual measures can also work against each other. In some region, good experiences habe been made with integrated action plan, an approach that is also being discussed at the national level and which could achieve a good basis for the development of Bio-farming in future.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.10
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• pp.520-526
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• 2016

This study aims to develop a distress prediction model, in order to evaluate the distress prediction power for first-class hotels and to calculate the average financial ratio in the Seoul area by using the financial ratios of hotels in 2015. The sample data was collected from 19 first-class hotels in Seoul and the financial ratios extracted from 14 of these 19 hotels. The results show firstly that the seven financial ratios, viz. the current ratio, total borrowings and bonds payable to total assets, interest coverage ratio to operating income, operating income to sales, net income to stockholders' equity, ratio of cash flows from operating activities to sales and total assets turnover, enable the top-level corporations to be discriminated from the failed corporations and, secondly, by using these seven financial ratios, a discriminant function which classifies the corporations into top-level and failed ones is estimated by linear multiple discriminant analysis. The accuracy of prediction of this discriminant capability turned out to be 87.9%. The accuracy of the estimates obtained by discriminant analysis indicates that the distress prediction model's distress prediction power is 78.95%. According to the analysis results, hotel management groups which administrate low level corporations need to focus on the classification of these seven financial ratios. Furthermore, hotel corporations have very different financial structures and failure prediction indicators from other industries. In accordance with this finding, for the development of credit evaluation systems for such hotel corporations, there is a need for systems to be developed that reflect hotel corporations' financial features.

• Information Systems Review
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• v.25 no.1
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• pp.111-128
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• 2023

With the development of artificial intelligence technology, interest in data-based product preference estimation and personalized recommender systems is increasing. However, if the recommendation is not suitable, there is a risk that it may reduce the purchase intention of the customer and even extend to a huge financial loss due to the characteristics of the financial product. Therefore, developing a recommender system that comprehensively reflects customer characteristics and product preferences is very important for business performance creation and response to compliance issues. In the case of financial products, product preference is clearly divided according to individual investment propensity and risk aversion, so it is necessary to provide customized recommendation service by utilizing accumulated customer data. In addition to using these customer behavioral characteristics and transaction history data, we intend to solve the cold-start problem of the recommender system, including customer demographic information, asset information, and stock holding information. Therefore, this study found that the model proposed deep learning-based collaborative filtering by deriving customer latent preferences through characteristic information such as customer investment propensity, transaction history, and financial product information based on customer transaction log records was the best. Based on the customer's financial investment mechanism, this study is meaningful in developing a service that recommends a high-priority group by establishing a recommendation model that derives expected preferences for untraded financial products through financial product transaction data.

• Journal of Intelligence and Information Systems
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• v.14 no.2
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• pp.179-192
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• 2008

This case study shows constructing the knowledge-based system using a rule-based approach for detecting illegal transactions regarding money laundering in the Korea Financial Intelligence Unit (KoFIU). To better manage the explosive increment of low risk suspicious transactions reporting from financial institutions, the adoption of a knowledge-based system in the KoFIU is essential. Also since different types of information from various organizations are converged into the KoFIU, constructing a knowledge-based system for practical use and data management regarding money laundering is definitely required. The success of the financial information system largely depends on how well we can build the knowledge-base for the context. Therefore we designed and constructed the knowledge-based system for anti-money laundering by committing domain experts of each specific financial industry co-worked with a knowledge engineer. The outcome of the knowledge base implementation, measured by the empirical ratio of Suspicious Transaction Reports (STRs) reported to law enforcements, shows that the knowledge-based system is filtering STRs in the primary analysis step efficiently, and so has made great contribution to improve efficiency and effectiveness of the analysis process. It can be said that establishing the foundation of the knowledge base under the entire framework of the knowledge-based system for consideration of knowledge creation and management is indeed valuable.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.5
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• pp.179-190
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• 2020

This research analyses the financial characteristics of corporate R&D intensity in the Korean capital market. It is important to pay greater attention to this subject, given the current situation of the shortage of core components domestically in Korea. Three hypotheses are postulated to investigate the financial factors of R&D investments for KOSDAQ-listed firms during the post-era of the global financial turmoil. By applying a conditional quantile regression (CQR) model, three variables included R&D intensity in the previous year (Lag_RD), the squared term of Lag_RD, and interaction between the high-tech sector and Lag_Rd, reveal significant effects on the current R&D ratio. Whereas more than half of the total variables show variable impacts between firms with higher and lower R&D intensity, only Lag_RD and squared term of Lag_RD were found to be significant. It is expected that these results may contribute to being financial catalysts for an optimal level of R&D expenditures, thereby maximizing firm value for shareholders in KOSDAQ-listed firms.

• Journal of Technology Innovation
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• v.25 no.4
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• pp.239-261
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• 2017

This paper analyzes how corporate product innovation affects firms' revenue and financial stability, and thereby draws the implications for the corporate strategy for sustainable growth. Corporate product innovation is defined as the development of new products within the firm, including bought-in products. Corporate revenue is measured by per capita sales and its growth rate, while financial stability is measured by debt-to-equity ratio and liquidity ratio. In the empirical analysis, the two-stage estimation method was used to control for the endogeneity of new product development. The data are drawn from the first (2005) to the sixth (2015) wave of the Human Capital Corporate Panel (HCCP) Survey, which are matched to the data from the Korea Investors Service (KIS). The results of the first-stage estimation indicate that product innovation of the firm is promoted by the firm's knowledge capital stock, human resources investment, and market-leading strategy. The second-stage estimation results indicate a positive relationship between the firm's level of activity in product innovation and short-term revenue (per capita sales and its growth), and financial stability (lower debt-to-equity ratio and higher liquidity ratio). These findings confirm that the firm's investment in technology innovation and subsequent product innovation are important strategies to enhance both short-term corporate revenue and long-term financial stability.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.4
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• pp.232-241
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• 2019

This study examines one of the conventional and controversial issues in modern finance. Specifically, this study identifies financial determinants of corporate R&D intensity for firms belonging to Korean Chaebols. Empirical estimation procedures are applied to derive more robust results of each hypothesis test. Static panel data, Tobit regression and stepwise regression models are employed to obtain significant financial factors of R&D expenditures, while logit, probit and complementary log-log regression models are used to detect financial differences between Chaebol firms and their counterparts not classified as Chaebols. Study results found the level of R&D intensity in the prior fiscal year, market-value based leverage ratio and firm size empirically showed their significance to account for corporate R&D intensity in the first hypothesis test, whereas the majority of explanatory variables had important power on a relative basis. Assuming that the current circumstances in the domestic capital market may necessitate gradual changes of Korean Chaebols in terms of their socio-economic function, the results of this study are expected to contribute to identifying financial antecedents that can be beneficial to attain optimal level of corporate R&D expenditures for Chaebol firms on a virtuous cycle.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.5
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• pp.109-121
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• 2023

This paper examines whether angel investors affect startup's financial performance (profitability and growth ratios) in the Korean startup market over 10 years period from 2009 to 2018. In particular, we consider not only the behavior of angel investor such as the investment amount or the type of investments (stocks, bonds) but also the type of angle investor (individual or corporation). Our empirical results are as follows. First, we find that the startup's profitability ratios are higher after the investment of angel investors. However, the growth ratios show different results in assets and sales. Second, we identify that the investment amount of angel investors negatively affects on the startup's growth ratios. Lastly, we find that equity investment such as common stock or preferred stock and the individual angel investors such as personal investment association or professional angels show higher financial performance than bond investment or corporate angel investors. Overall, our findings imply that angel investors positively affect startup's financial performance. In particular, we infer that the superior financial performance is largely attributed to monitor startups by participating as shareholders or to select more carefully by the individual angel investors who may be exposed to more investment risk. In conclusion, our findings support that angel investors play a positive role in the Korean venture investment market.

• Journal of the Korea Society of Computer and Information
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• v.4 no.2
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• pp.147-154
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• 1999

Research and Development (R&D) departments concentrate their efforts on one of two key types of research: fundamental research to discover new technology, and product development research to determine ways to use new technology or to improve upon already existing technology. Of these two types of research, the first, fundamental research, does not guarantee that successful products will develop. This type of research generally requires the investment of large sums of money without the surety of financial gain. It can, however, greatly enhance a company's image and profit potential if it can then develop a successful product from the fundamental research their scientists and engineers have done. Also, through this type of research, companies can register patents which can result in income from the sale or license of the patented technology or process to other companies. Companies place themselves at financial risk when they delve into fundamental research. For that reason, most companies concentrate their research funds and efforts on the second type of research, product development. For a product to be considered successful the company must realize some sort of benefit such as profit, increased marketshare, market recognition, or any other company-defined benefits. Both types of research require a company's consistent financial investment and planning. As the world market becomes more competitive, only those companies that can produce a product with good quality, competitive pricing, and in a timely manner will thrive. This thesis focuses on issues for developing a successful product through examining a product life cycle, a product portfolio matrix, and reactive and proactive marketing strategies.