• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.217-224
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• 2021

This research seeks to determine what intellectual capital represented by indicators of conceptual skills, human skills, and technical skills plays a role in the development of financial technology. The consideration of fintech is more practical and economical. The concept of fintech is related to the rapid development of global technology by creating various new technologies, especially computer technology. This research uses secondary data; the population of this study is the top management companies in Indonesia during the new normal era. The sample in this research used a purposive sampling method, and the quantitative method. The results of this research indicate that the intellectual capital variable represented by conceptual skills has a significant positive role in the development of financial technology in the new normal era. This research posits that intellectual capital also has a role in the development of financial technology in the new normal. This is because the new normal period represents currently a new challenge in responding to the economic crisis that is resulting from Covid-19 pandemic around the world. Therefore, new concepts, new humanity, and new techniques are needed to develop financial technology, so that they can exist and encourage economic growth in this Covid-19 pandemic era.

• Asian Journal of Innovation and Policy
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• v.7 no.3
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• pp.625-645
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• 2018

This paper's objective is to draw a decision guideline to continue research and development (R&D) investments in biotech start-ups facing the "Valley of Death" syndrome - a long negative profit period during a financial crisis. The data include financial indices as Net income, Revenues, Total stockholders' equity, Cash & equivalents, and R&D expenses of 18 major biotech companies (nine in negative profit and nine positive, in FY2008) and 15 major pharmaceutical corporations as benchmarks both in FY2008 and in FY2016 derived from the US SEC Database, EDGAR. A first methodology dealing with real options analysis assumes Total stockholders' equity as a growth option. And a second methodology, Bayesian Markov chain Monte Carlo (MCMC) analysis, is applied to test the probability relationship between the Total stockholders' equity and the R&D expenses in these three groups. This study confirms that Total stockholders' equity can play the role of a call option to support continuing R&D investments even in negative profits.

• International Commerce and Information Review
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• v.15 no.3
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• pp.41-62
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• 2013

This paper, the accumulation of foreign exchange reserves in the financial systems of emerging markets mid-to long-term impact on how investigated. The accumulation of foreign exchange reserves in emerging markets is a highly effective means to prevent the recurrence of another financial crisis as well as to minimizing risks of financial crisis. By examining the economic effects of excessive accumulation of foreign exchange reserves on factors such as foreign liabilities, domestic consumption, domestic investment and economic growth from a mid-to long-term perspective, it reduced domestic consumption, but on the other hand, led to the expansion of the trade-related industries based on increase of exports. Although China implements a policy to substantially increase domestic investment, other emerging market countries have stagnant domestic investment activities due to excessive accumulation of foreign exchange reserves. Such fact signifies that excessive accumulation of foreign exchange reserves increases potential risks by depressing the mid-to long-term economic growth through the scale down of trade-related industries.

• The Korean Journal of Applied Statistics
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• v.21 no.5
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• pp.717-726
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• 2008

The purpose of this paper is to assess the financial strength of general insurers by using A.M. Best's rating technique focusing on quantitative standards. A quantitative evaluation of fifteen larger general insurers' financial strength and operating performance relative to the Best's top group is carried out. The quantitative evaluation is done in 5 key areas; growth, efficiency, profitability, safety and liquidity. The results show that there is a big gap between domestic large insurers and American insures in all areas except stable growth of operations. Therefore, domestic insurers have to strive to strengthen financial soundness through profitability and should increase the capacity to retain more commercial business and reinsurance in order to become global players.

• Proceedings of the Culinary Society of Korean Academy Conference
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• 2006.08a
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• pp.21-44
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• 2006

Measuring and evaluating the business performance plays a very important role in managing business. It is because business performance, in any types of industry, can be evaluated and managed properly only when the measurement of its performance is estimated, and because its performance can be improved through an efficient and effective management. Therefore it is essential to build up the performance evaluation system to raise management efficiency of the foodservice industry, to reinforce competitive power of the food service industry. This study tried to propose a novel point of prospective and method in which the performance evaluation in any family restaurant should be illuminated and be performed. In this study, BSC provided the main conceptional framework for evaluating the performance of a family restaurant, and evaluation items of BSC four prospectives - financial, customers, internal business process, and learning and growth-were adjusted so as to be fitted into the business field. Furthermore, this study verified the validity of the proposed performance evaluation method through specific case analyses and used AHP to quantify its validity objectively. Finally, this study found the fact that non-financial prospectives, compared to financial prospectives, should be more importantly considered as the performance evaluation index of the family restaurants. Especially, the study showed that the proportion of performance evaluation indexes related to Customers prospective and Learning and Growth prospective revealed very highly, therefore variables such as customer satisfaction index, per employee productivity, education and training, customer response rate, employee satisfaction index should be emphasized as key factors at the process of selecting indexes and measuring their performance evaluation of the food service industry.

• Proceedings of the Fisheries Business Administration Society of Korea Conference
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• 2007.12a
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• pp.167-184
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• 2007

The objectives of this paper are to identify the causes of the corporate distress and to develop a distress prediction model with the financial information in fishery industry. In this study, the corporate distress is defined as economic failure and technical insolvency. Economic failure occurs by reduction, shut-down, or change of the business and technical insolvency results from failure to pay the financial debt of companies. The 33 distressed firms from 1991 to 2003 were composed by 14 economic failure companies, 15 technical insolvency companies. 4 companies applied to the both cases. The analysis of distress prediction of fishery companies were accomplished according to the distress definition. The analysis was carried out as two steps. The first step was the univariate analysis, which was used for checking the prediction power of individual financial variable. The t-test is used to identify the differences in financial variables between the distressed group and the non-distressed group. The second step was to develop distress prediction model with logistic regression. The variables showed the significant difference in univariate analysis were selected as the prediction variables. The financial ratios, used in the logistic regression model, were selected by backward elimination method. To test stability of the distress prediction model, the whole sample was divided as three sub-samples, period 1(1990$\sim$1993), period 2(1994$\sim$1997), period 3(1998$\sim$2002). The final model built from whole sample appled each three sub-samples. The results of the logistic analysis were as follows. the growth, profitability, stability ratios showed the significant effect on the distress. the some different result was found in the sub-sample (economic failure and technical insolvency). The growth and the profitability were important to predict the economic failure. The profitability and the activity were important to predict technical insolvency. It means that profitability is the really important factor to the fishery companies.

• The Journal of Fisheries Business Administration
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• v.39 no.2
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• pp.61-79
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• 2008

The objectives of this paper are to identify the causes of the corporate distress and to develop a distress prediction model with the financial information in fishery industry. In this study, the corporate distress is defined as economic failure and technical insolvency. Economic failure occurs by reduction, shut - down, or change of the business and technical insolvency results from failure to pay the financial debt of companies. The 33 distressed firms from 1991 to 2003 were composed by 14 economic failure companies, 15 technical insolvency companies. 4 companies applied to the both cases. The analysis of distress prediction of fishery companies were accomplished according to the distress definition. The analysis was carried out as two steps. The first step was the univariate analysis, which was used for checking the prediction power of individual financial variable. The t - test is used to identify the differences in financial variables between the distressed group and the non - distressed group. The second step was to develop distress prediction model with logistic regression. The variables showed the significant difference in univariate analysis were selected as the prediction variables. The financial ratios, used in the logistic regression model, were selected by backward elimination method. To test stability of the distress prediction model, the whole sample was divided as three sub-samples, period 1(1990 - 1993), period 2(1994 - 1997), period 3(1998 - 2002). The final model built from whole sample appled each three sub - samples. The results of the logistic analysis were as follows. the growth, profitability, stability ratios showed the significant effect on the distress. the some different result was found in the sub - sample (economic failure and technical insolvency). The growth and the profitability were important to predict the economic failure. The profitability and the activity were important to predict technical insolvency. It means that profitability is the really important factor to the fishery companies.

• Journal of Information Technology Services
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• v.22 no.4
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• pp.171-184
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• 2023

FinTech, which has brought innovation to the financial industry thanks to the advancements in ICT since 2010, has contributed to the growth of the financial ecosystem and increased consumer benefits. Furthermore, there has been a growing demand for social responsibility and sustainability in financial institutions, which have a significant impact on governments, businesses, and people's lives. Despite this, many FinTech companies and traditional financial institutions are still in the early stages of establishing ESG (Environmental, Social, and Governance) management philosophy or lack long-term plans. In this study, we aim to examine the impact of ESG management on the FinTech industry, focusing on representative domestic cases, and derive policy and institutional measures to spread it in the financial industry. Specifically, we will adopt MSCI rating indicators, which are internationally accepted by various industries such as manufacturing, healthcare, and transportation, to evaluate the 35 ESG management subcategories of FinTech companies. As a result, a total of 22 compliance items were disclosed in the ESG report, and it was possible to confirm the detailed management. Through this, we intend to propose effective management strategies for the organizational structure, operations, programs, and performance evaluation of FinTech companies, which are positioning themselves as sustainable growth drivers in the domestic industry.

• Korean Business Review
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• v.18 no.2
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• pp.179-196
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• 2005

This study investigates whether the designated firm is affected by the financial characteristics prior to the korea stock exchange designating subject to administrative issues. that is, analyzes financial differences of the designated finn(AIF) from another firm(NAIF) in the same asset-scale and industry for 5 years prior to designating date. For this purpose, financial variables related with scale, profitability, growth nature, liquidity, stability, and active nature are chosen. 113 AIFs and 113 NIAFs are selected from listed stock on the korea stock exchange between 1991 and 1999. As a result, it is found that there are significant difference in all profitability, stability, active nature related financial variables for 5 years prior to each designation date. The difference is more significant as the designating date approaches. But, no significant difference is not found in all growth nature related financial variables for 5 years prior to each designation date. Liquidity related financial variables show significant difference in only the 1st year before designation date. To be short, the financial factors of profitability, liquidity, stability, and active nature have an effect on the designated firms.

• The Journal of the Convergence on Culture Technology
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• v.5 no.3
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• pp.71-78
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• 2019

The importance of social responsibility such as ethical management and social contribution activities is emphasized for the sustainable growth of companies. Although there is a great deal of research on corporate social responsibility due to the increase in social interest and expectation, most of them have been limited to research on general manufacturing industry. The purpose of this study is to analyze the effect of social responsibility activities on financial performance. In addition, we want to analyze the difference in the financial performance of companies with excellent social responsibility activities announced by the Institute of Economic Justice and others. The analysis period is from 2011 to 2016, and we analyze using the robust regression methodology which is relatively effective in solving the autocorrelation and this dispersion problem. First, it is proved that the higher the KEJI index, the more positive effect on financial performance. In addition, we found that there is a significant difference in the financial performance of companies with excellent social responsibility activities and those with other social responsibility activities. These results will have important implications for establishing a firm's financial strategy and will serve as useful information for the financial industry that is striving for sustainable management.