• The Journal of Asian Finance, Economics and Business
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• v.9 no.9
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• pp.309-316
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• 2022

In 2011, the 4^th industrial revolution officially occurred and developed in most countries. The fourth industrial revolution has given organizations numerous business opportunities, enabling them to optimize their manufacturing processes, cut costs, and thereby improve their operations. The development of enterprises is a decisive factor in increasing national productivity, thereby improving economic growth and per capita income. Therefore, it is necessary to grasp the digital transformation plan and apply science and technology to domestic enterprises and improve the operational efficiency of the economy. Research on small and medium enterprises in Hanoi, Vietnam, which is considered a successful country in economic development and digital transformation and has become a middle-income economy and a highly open economy, the research results suggest that the ability to apply technology in businesses is capable of improving corporate financial performance. The choice of capital structure favoring debt has a negative effect on the financial performance of the enterprise; that is, enterprises in Vietnam should limit the choice of financing investment projects with debt, on the contrary, enterprises should choose to finance with equity. Finally, the study also discusses managerial implications for improving business performance in the context of the rapidly evolving 4.0 technology revolution.

• Journal of the Korea Society of Computer and Information
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• v.26 no.3
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• pp.59-67
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• 2021

Blockchain technology began in 2008 when an unidentified person named Satoshi Nakamoto proposed a cryptocurrency called Bitcoin. Satoshi Nakamoto had distrust of the existing financial system and wanted to implement a financial system that is robust against hacking or mannipulation without a middleman such as a bank through blockchain technology. Satoshi proposed a blockchain as a technology to prevent the creation of the bitcoin and forging of transactions, and through this, the functions of issuance, transaction, and verification of currency were implemented. Since then, Ethereum, a cryptocurrency that can implement the smart contract on the blockchain, has been developed, allowing financial products that require complex contracts such as deposits, loans, insurance, and derivatives to be brought into the area of cryptocurrency. In addition, it is expanding the possibility of substituting products provided by financial institutions through combination with real assets. These applications are defined as Decentralized Finance (DeFi). This paper was prepared to understand the overall technical understanding of DeFi and to introduce the services currently in operation. First, the technologies and ecosystems that implement the overall DeFi are explained, and then the representative DeFi services are categorized by feature and described.

• Journal of the Korean Data Analysis Society
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• v.20 no.6
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• pp.2993-3002
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• 2018

This case study introduces the process of developing the technology rating evaluation model for investment. The technology evaluation rating model for investment is a project that the Financial Services Commission and the Ministry of Commerce, Industry and Energy collaborated to expand the scope of technology finance from loan to investment. The technology evaluation model for investment was developed with the aim of predicting high growth companies. The model consists of a statistical model and an expert model. Here, statistical models were modeled by using logistic regression analysis. Expert models gathered opinions of experts and identified the weight of each evaluation item and set the model. The rating system of the model is composed of 10 grades. The distribution of the model was consistent with KTRS grade distribution. Interestingly, the emphasis is on technology and marketability. In the technology valuation grade model for the goddess, there is a considerable difference from the emphasis on managerial competence or business performance.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.11-21
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• 2021

In the last few years, there is growing interest in the field of simultaneous equation estimation in finance due to the endogeneity problem caused by measurement errors, simultaneity, or omitted variables. This study aims to discuss the endogeneity problem in corporate financing decisions and investigate the interrelationship of financial decision-making such as investment decision, dividend decision, and external financing decision in Pakistan Stock Exchange (PSX) using two-stage least squares (2SLS) and generalized method of moment (GMM) estimation. The Bruech-Pagan test shows that the data has no heteroskedasticity issue and 2SLS is a better approach in the context of this study as compared to the GMM approach, and internal instruments are also sufficiently strong and valid. The three financial decision-making attributes are not jointly determined, and the dividend is influenced by one-sided investment. In the emerging stock market context, external financing and investment are not inter-related and did not affect each other. The question of whether the simultaneous equation estimation can be useful in the context of the emerging stock markets and newly-growing firms remains unanswered. The inclusive evidence shows that the theoretical link in the emerging stock market is difficult to prove like in developed stock markets.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.7
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• pp.1-13
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• 2020

This study analyzes the key drivers (commitment, integration of big data, green supply chain management, and green human resource practices) of sustainable capabilities and the influence to which these sustainable capabilities impact the banks' environmental and financial performance. Additionally, this study analyzes the impact of green management practices on the integration of big data technology with operations. The theory of dynamic capability was deployed to propose and empirically test the conceptual model. Data was collected through a self-administrated survey questionnaire from 319 participants employed at 35 banks located in six ASEAN countries. The findings indicate that big data analytics strategies have an impact on internal processes and banks' sustainable and financial performance. This study indicates that banks committed towards proper data monitoring of its clients achieve operational efficiency and sustainability goals. Moreover, our results confirm that banks practising green innovation strategies experience better environmental and economic performance as the employees of these banks have received advance green human resource training. Finally, our study found that internal and external green supply chain management practices have a positive impact on banks' environmental and financial performance, which confirms that ASEAN banks contributing in reduction of environmental impact through its operations will ultimately experience increased financial performance.

• Advanced Industrial SCIence
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• v.2 no.4
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• pp.17-27
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• 2023

The purpose of this study is to improve the efficiency of digital conversion by presenting factors that domestic small and medium-sized manufacturers should consider when attempting digital conversion. Using SME data from 2019 to 2021, we analyze the impact of digital transformation on the financialization of enterprises and which digital technologies affect financialization, and further analyze the mediating effect of green technology innovation between digital transformation and business finance. did The results of the study support the negative impact of digital technologies on corporate finance, and cloud computing technologies have been found to significantly inhibit the level of corporate finance. In addition, it was found that green technology innovation plays a mediating role in suppressing corporate financialization by promoting green technology innovation through digital transformation. Digital transformation influences corporate decision-making through green technology innovation, suggesting that the combination of digital technology and green projects should be considered.

• Bulletin of Food Technology
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• v.26 no.4
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• pp.314-321
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• 2013

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1998.10a
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• pp.201-201
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• 1998

• Journal of the Korean Society of Hazard Mitigation
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• v.10 no.5
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• pp.97-108
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• 2010

Recent patterns of diversification of a disaster, depending on the size of the larger trend, quick and efficient response to disaster prevention, to increase the importance and role of advanced equipment and technology of fire protection industry is becoming more, over market size 11 trillion won and 10 million workers in industries of national importance, but to exceed, As most SMEs compared to other industries are backwardness. Therefore, in this study closely the characteristics of the fire protection industry analysis, the systematization of theoretical models of the finance cooperative system considering the characteristics of fire protection industry and provider the fosterage, they will contribute to independent economic activity and industrial development for operators to use the finance cooperative system of fire protection industry.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.9
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• pp.419-426
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• 2020

The paper focuses on understanding fintech and the application of fintech in the banking sector in Vietnam. To solve this research objective, the authors analyze fintech development trends, especially the fintech application in the banking sector in Vietnam. To improve the quality of fintech services at banks, the authors conducted consideration of factors affecting customers' intention to use fintech services. To accomplish this, the authors collected data through a survey of 620 customers of the banks located in Ho Chi Minh City - the largest economic center in Vietnam. For the analytical method, the authors used multivariate regression to estimate the research model. Research results show that fintech service is very important for the banking sector in Vietnam. Moreover, this paper has achieved great success by identifying the factors that influence customers' intention to use fintech services. Accordingly, the intention to use fintech (INT) services is positively affected by the perception of usefulness (PU), social impact (SI), customer trust (TRU), and perceived ease of use (PEU). Based on the results of this study, bank managers will have a basis to improve the quality of fintech services. Not only that, the results of this study are also valuable for policymakers and researchers.