• Journal of the Korea Safety Management & Science
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• v.3 no.4
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• pp.135-144
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• 2001

The capital cost of the company is one that must be paid to the money owner as the price by using the money. The capital cost according to the source of money supply can be estimated by the expected profit rate undertaken by the use of the capital. But in the area of pre-existent economic evaluation, the evaluation of the company investment has been treated by the profit rate of the capital after considering the repayment conditions of the other's money or the interest. Thus in this study, in case the company makes an investment on various kinds of the capital at the same time, not make use of the capital as a one source, the economic evaluation of an investment should be handled by taking the weighted average cost of capital into consideration in proportion to the constitution of the capital cost by the sources of money supply, Especially, as the cost of the private money is very much connected with the profit rate through the stock market, the Capital Asset Pricing Model (CAPM) will be applied. This kind of economic evaluation method can be said to have much to do with the Economic Value Added : EVA) as well as to be highly thought as a standard to estimate the company' value recently To certify the usefulness of this approach, the case study of the output of the capital cost will be made for the purse of the economic evaluation of the alternative investment by using the financial statements of a motor company H.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.7
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• pp.475-487
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• 2020

The paper aims to facilitate a discussion around how big data technologies and data from citizens can be used to help public administration, society, and policy-making to improve community's lives. This paper discusses opportunities and challenges of big data strategies for government, society, and policy-making. It employs the presentation of numerous practical examples from different parts of the world, where public-service delivery has seen transformation and where initiatives have been taken forward that have revolutionized the way governments at different levels engage with the citizens, and how governments and civil society have adopted evidence-driven policy-making through innovative and efficient use of big data analytics. The examples include the governments of the United States, China, the United Kingdom, and India, and different levels of government agencies in the public services of fraud detection, financial market analysis, healthcare and public health, government oversight, education, crime fighting, environmental protection, energy exploration, agriculture, weather forecasting, and ecosystem management. The examples also include smart cities in Korea, China, Japan, India, Canada, Singapore, the United Kingdom, and the European Union. This paper makes some recommendations about how big data strategies transform the government and public services to become more citizen-centric, responsive, accountable and transparent.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.11
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• pp.213-221
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• 2021

The paper attempts to investigate the optimal capital structure of Vietnamese listed firms based on a structural approach. Using the data from around 70 companies in the Consumer Staples sector listed on the Vietnamese Stock Exchange during the period 2018-2020, this study finds that the optimal capital structure of examined companies has a wide range of diversification. This can be explained by the various types of actual products for each typical firm within the chosen sector. The result also confirms that a large proportion of researched firms were actually overleveraged, which is consistent with the trade-off hypothesis that firms wish to take tax advantages while using more debt, which creates the benefits from tax-shield. Furthermore, the research highlights the reversed correlation, which suggests that the lower the company's risk (the lower the sigma of the assets), the greater the optimal capital structure is suggested. Another interesting finding is that almost all consumer staples companies have a better optimal capital structure under the Leland and Toft (1996) model than under the Leland (1994) model. Furthermore, there is a strong correlation of optimal financial leverage ratio between years. In other words, the optimal debt levels of the latter year are strongly dependent on the gearing levels of the previous years.

• Journal of Korea Trade
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• v.24 no.5
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• pp.35-54
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• 2020

Purpose - It seems common sense that corporate social responsibility (CSR) is a key driver of business sustainability. Nevertheless, there has been little research on the performance of socially responsible activities, including economic and environmentally responsibility activities, in internationally diversified firms. Design/methodology - The purpose of this study was to evaluate the effects of CSR activities on management performance. For this evaluation, an empirical analysis was conducted with total of 2,520 cases, selected from companies listed on the Korea Composite Stock Price Index market for six years from 2013 to 2018. As proxies for management performance, financial data such as a total asset net profit ratio and a total asset operating ratio were used. A multivariate regression analysis was conducted to test hypotheses. Findings - The results of this analysis indicated that firms in the CSR outstanding group were ranked significantly higher than other groups in management performance. In addition, CSR activities of internationally diversified firms positively influenced the total asset net profit ratio and total asset operating ratio. Originality/value - The results suggest that the CSR activities of these firms can play a significant role in enhancing management performance in the economic status of Korea, where the degree of export dependency is high.

• International Journal of Contents
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• v.14 no.4
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• pp.39-50
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• 2018

This paper analyzes the existing transportation systems of Nigeria and Korea and proposes a new railway and roadway design for Nigerian cities. The research findings and feasibility study revealed that the state of Nigeria's transportation system was critical as was its market segment, infrastructural deficit and financial requirement needed to implement a smart transportation system. The dilapidation of the existing infrastructure coupled with poor maintenance culture and limited public transport services has hindered the economic growth of Nigeria and its cities. A case study of Korea and Japan shows some possible solutions to Nigeria transportation challenges. Analytical and descriptive methods were used to critically assess the infrastructural challenges, movement, and convenience. The study proposed the design of a new intercity railroad and roadway across Abuja, Enugu, Lagos and Port Harcourt cities. The proposed designs have been established to be an innovative solution with advanced benefits over the current system. The implementation of the proposed designs is estimated to cost about US$(77,832,027,719) across the study areas. Thus, the discussion, conclusion, and recommendations given present a proposal to the Nigerian government on the possibility of solving the Nigerian intercity railroad and roadway transportation challenges across Abuja, Enugu, Lagos and Port Harcourt cities through smart designs.

• 한국벤처창업학회:학술대회논문집
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• 2018.11a
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• pp.269-275
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• 2018

Electronic commerce, the act of trading online, with its myriad of potential has been seldom looked at within the context of developing countries. E-commerce presents SMEs in developing economies the opportunity to adequately compete on a global stage. The exponential growth of e-commerce in developed economies further widens the financial gap between developed and developing economies. This study looks at a practical e-commerce adoption framework for Ghanaian SMEs and by extension, developing economies and looks at the net benefits that are available to current adopters. The study uses structural equation modeling, using Partial least squares (PLS) regression to analyze the data in the research. Using PLS algorithms as well as bootstrapping calculations. It combines the use of surveys (154) and interviews (38) as means of data collection. The findings of the research indicate that there is a need for legislation on e-commerce trading to regulate the trade in Ghana, with policies such as e-contracting and e-signature laws among others. Also, a current call for an expansion of the mobile payment methods within the country. For the private investor, a ripe market for logistics services. The study also proposes a simple guideline for SMEs looking to adopt or expand their e-commerce usage, that considers technological, organizational and environmental factors that come to play within e-commerce adoption.

• International Journal of Computer Science & Network Security
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• v.21 no.8
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• pp.187-195
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• 2021

The intensification of the processes of the digital economy development is leading to the transformation of the higher education system. Universities are forced to digitalize their own educational, research, international, marketing, financial and economic activities in order to maintain a competitive position in the global market of educational services. The purpose of the article is to study the role of information and communication technologies in the development of the higher education system and to ensure its adaptability to modern challenges of digital economy. To achieve this goal, methods of content analysis, logical generalization, systematization and a structural-functional method are used. In the article, the authors substantiate the urgency of forming a holistic strategy to ensure the adaptability of higher education to the challenges of digital economy. In the structure of this strategy, the information-technological block is singled out and described. The authors specified a set of positive synergetic effects from the introduction of modern information and communication technologies in the activities of universities. The main information threats to the digitalization of higher education related to the protection of personal data and university systems from cyberattacks and fraudulent schemes are identified. In conclusion, the authors detail the measures for the strategy implementation to ensure the adaptability of higher education to digital economy.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.403-411
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• 2021

This paper discusses the relationship between debt literacy, peer-to-peer lending, and over-indebtedness in Indonesia. It is essential because the number of loans on this platform continues to increase, both legal and illegal. Data was collected online in collaboration with commercial market research firms, JajakPendapat.net. Debt literacy and over-indebtedness were measured by self-assessment with questions from Lusardi and Tufano (2009a). Questions for debt literacy are about interest compounding, debt interest, and the application of time value of money in payment options. The question for over-indebtedness is about the amount of debt and the conditions resulting from that debt. By using descriptive methods, it is clear that the majority of respondents, both borrowers and non-peer-to-peer lending borrowers are debt illiterate, and those who have poor debt literacy have huge debt. Overall, only 1.85% of the respondents were debt literate. Those who live on the island of Java have better literacy because they are the center of economic growth in Indonesia. Debt from peer-to-peer (P2P) lending also has the potential to create problems, namely over-indebtedness. P2P lending borrowers also have very poor debt literacy. However, there is no difference in debt literacy between P2P lending borrowers and non-P2P lending borrowers.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.327-333
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• 2021

Accounting information disclosure by enterprises is important for third-party entities (suppliers, creditors, banks, regulators, etc.). Voluntary accounting information disclosure (VAID) refers to additional information related to business activities shown on the annual report above and beyond the required information about business results and financial position as well as cash flow. This supports the stakeholders gaining useful information to make proper business decisions. The article examines the influence of ownership structure on the voluntary accounting information disclosure of the top 100 Vietnamese listed companies (VN100). Data collected by authors on regular annual reports totaled 425 observations from 2015 to 2019. The article uses OLS to test multivariate regression models with time-series data. The research results show that there are three variables affecting voluntary accounting information disclosure, of which foreign ownership and institution ownership have a positive impact, while concentration ownership has an opposite impact. Accordingly, the managers of VN100 should raise awareness in order to demonstrate the obligation of information providers to users to ensure clarity and completeness. The state agencies should encourage VN100 to enhance voluntary accounting information disclosure. This contributes to improve the information level of Vietnamese listed companies to embrace the trend of international economic integration.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.45-52
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• 2021

The capital structure is one of the hot financial topics among researchers and scholars. Its importance comes from the fact that capital structure is closely related to companies' ability to meet different stakeholders' needs. A suitable capital structure will boost the business and create a competitive advantage in the context of fierce competition. Many companies choose an optimal debt level based on the trade-off between interest and debt costs. This study aimed to test the existence of trade-off theory in capital structure, the case of Vietnam's real estate companies, which are growing very fast recently. Instead of considering constant optimal leverage to test the trade-off model, we take advantage of the dynamic capital structure determined by growth opportunities, profitability, tax incentives, tangibility, liquidity, and firm size. The dynamic panel data regression was estimated by the system Generalized Method of Moment (Sys-GMM). The empirical evidence showed that real estate companies listed in the Vietnamese stock market might change their leverage toward a target capital structure determined by influential factors in a long-term perspective. In particular, the debt-to-asset ratio will change by approximately 14 percent, positively, in response to the difference between the current debt-to-asset ratio and the dynamic target debt-to-asset ratio.