• 한국조리학회지
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• 제11권3호
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• pp.18-39
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• 2005

There are various factors to determine success and failure of new product development. Among them one of the most important factors for success will be strategic management of development process for a new product. First the development process for a new product in domestic restaurant business is improvement of existing product quality or extension of a product line. Second, the study found that there is a strong relationship between the development strategy.for a new product and its outcome. The more focused a product becomes in cost efficiency and customer relations, the better reflected the financial and non financial outcome can be in analysis. Third, financial outcome tends to be considered more than non financial outcome on deciding success of the new product development. Fourth, the study indicates that there is a direct relationship between financial non financial outcome analysis and success of new product development.

• 경영과정보연구
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• 제6권
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• pp.163-186
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• 2001

A venture business plays important roles in the economy of a developing nation. It makes highly value-added product, increases employment and improves the industry structure. The objective of this study is to derive the financial and non-financial characteristics from venture businesses, which determine a highly successful business group or a less successful business group. The firm characteristics are composed of 21 financial(liquidity, leverage, cash flow, activity, productivity, and etc) and 34 non-financial characteristics(manager, technology, marketability and credibility variables), which have been considered as the key characteristics for venture business by the existing literature. All financial ratios and non-financial characters play a role of making discriminations between a highly successful and a less successful group. Because there are not generally accepted definitions, classifying a highly successful and a less successful venture business is a very difficult problem. Operational definitions have many problems but we have no choice in current stage.

• 통상정보연구
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• 제8권1호
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• pp.417-435
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• 2006

A Systematic Wealth Management Framework (SWMF) was developed as a private banking management tool to enable more integrative personal finance management of personal wealth. It is a reference model that provides an unified framework for development, operation, and management and makes provision for personal financial services in today's complex financial environment. This study suggested some practical results from banks and insurance companies that have established SWMF as the differentiation business strategy for wealthy customers. The focus of this manuscript is on capturing the methodological approach most financial institutions in Korea adopted to execute new e-finance planning and implementation based on the SWMF. The alignment between the wealth management business goals and information system architecture at an organization constitutes the main theoretical basis of the study. Relevant discussions are made on the wealth management framework as a general business model for financial industry, on the functional relationship between new information systems and business organizations. Finally, lessons learned from the SWMF implementation are discussed.

• 산업융합연구
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• 제2권1호
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• pp.187-216
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• 2004

After Asian financial crisis hit the Korea, Korean government and Korean firms need to restructure their system. Specially financial sector has to renew its system. One way renew its system was adjust company's labor system. The forms of labor adjustment are external numerical flexibility, externalization, internal numerical flexibility, functional flexibility and wage flexibility. These five forms based on two big categories which are wage flexibility and employment flexibility. This study only focus on th effect of employment flexibility in financial sector in Korea. Employment flexibilities can be practice as employment adjustment. Also we concentrate on separation and re-accessors to other financial institute after the separation. The result shows that Korean financial sector are in the range of 10.78% and the job destruction rates are about 11.26%. During the period from year 1998 to year 2002, the numbers of accession has down about 30%. The logit statistical analysis for separation shows that demographical variables and the reasons of separation affected separation and reemployment.

• 경영정보학연구
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• 제10권1호
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• pp.21-45
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• 2008

조직이나 기업은 IT 자원 구입이나 유지보수에 대부분의 IT예산을 사용하고있으며, IT 자원들은 지역별, 부서별, 사업단위별로 중복되어 운영되고 있는 것이 현실이다. 이러한 중복된 자원들을 제거하고 유지보수 비용을 절감하여야만 전체 IT비용을 줄일 수 있다. 오늘날 글로벌 기업들은 산업환경에서 경쟁력을 유지하기 위해 쉐어드서비스 구현에 많은 투자를 하고 있으며, 많은 금융서비스회사들이 IT 자산과 인프라의 중복성을 제거하기 위하여 IT쉐어드서비스를 도입하였다. 본 연구는 최근 국내 금융환경이 겸업화(은행업, 증권업, 보험업 등)와 대형화(금융기관 간 M&A, 전략적 제휴)함에 따라 정보기술(IT) 부문이 조직간에 중복되어 운영되는 현상이 나타나기 시작했으며, 따라서 기업 내에 중복되어 운영되고 있는 정보시스템들을 통합하여 효율적으로 운영하고자 하는 요구가 있다고 판단하여 IT쉐어드서비스 도입에 영향을 미치는 요인을 실증적으로 분석해 보고자하였다.

• 재무관리연구
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• 제6권2호
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• pp.33-69
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• 1989

The Purpose of this study is to test empirically the determinants of capital structure of the Korea Listed Firms. In order to accomplish the purpose of this study, both literature survey and empirical test have been made. For the empirical test, agency and asymmetric information factors as well as traditional ones have been throughly reviewed. Traditional factors tested in this study include firm-size, collateral value of the assets, business risk, tax, non-debt tax shields, and industry effects. Agency and asymmetric information factors include growth opportunities, the percentage of outstanding equity held by inside stockholders, and the number of inside stockholders. From the results of the cross-sectional regression analysis, the adjusted R-square is 1931%, and the overall F-value indicates significance. For the analysis period, the signs of the variables except business risk are as predicted. Firm-size, collateral value of the assets, and business risk significant at the.01-.05 level. In order to determine the influence of industry factors on the financial leverage, a total of 8 dummy variables are added to the regression model. The adjusted R-square inclosed by 4.2% for the first analysis period(1983-1985) and 6% for the second analysis period(1986-1987). This suggests that industry factors are significant in explaining the variations in financial leverage across firms. In order to pursue the influence of agency and asymmetric information factors on the financial leverage, again the cross-sectional regression analysis is done for the middle size firms gruop(n=40). The adjusted R-square increased by 9.8% for the first analysis period(1983-1985) and 6.1% for the total analysis period(1983-1987), and all the signs was as predicted. But both the variables except the number of inside stockholders was not significant.

• 한국수산경영학회:학술대회논문집
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• 한국수산경영학회 2007년도 추계학술발표회 및 심포지엄
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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.

• 수산경영론집
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• 제39권2호
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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.

• 한국유통학회지:유통연구
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• 제2권2호
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• pp.107-134
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• 1997

The purpose of this study was to identify perception level of QR and the usage level of QR technologes and to examine the relationships between the firm characteristics and the usage level of QR technologes and QR adoption in domestic fashon industry. Using the usage levels of QR technologes and QR adoption as the dependent variables, the selected firm characteristics, as independent variables, were firm size, perception level of QR benefits, and product characteristics. The findings from the empirical analysis of this study can be summarized as follows : Firm size and perception level of QR benefits were significantly associated with the usage level of QR technologies and adoption. Product characteristics were partly associated with QR adoption. The four elements were partly associated with QR adoption. Most of the QR adopters were using the QR technologies, and will tend to have four elements. From the results of this study, the researcher expects the information from this study to contributes to the body of knowlege about the identification, adoption and utilization of component technologies for QR management systems and draws several counterproposal as follows : The advancement of domestic fashion industry is possible through the systematic adoption of QR by the collaboration of the government & the industry. Most nonadopter had financial problems as a constraint to QR adoption. Financial supports are needed from trade associations and government. The fashion industry may promote the type of smart QR. The type of smart QR means usage level of QR technologies which reflect the firm characteristics and the actual industry state in domestic fashion industry. The fashion industry may establish information technology network (i. e., EDI, POS, EOS) between relative industry such as fiber, apparel manufacturers, retailers. The related industry should make a partnership.

• 한국컴퓨터정보학회논문지
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• 제22권6호
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• pp.141-147
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• 2017

Along with the recent growth of Fintech industry and low interest rate basis, one of the alternative investment technique for expecting higher investment profit, P2P loan using P2P financial system is greatly increasing. P2P loan can be referred to as a type of Crowdfunding that the law of Crowdfunding (adopted to revised Capital Market Act) enacted on January 25th 2016 only allows investment type Crowdfunding so that it can be used as a tool of raising fund for startup and venture companies. Also, it is true that Korean government could not make any legislative foundation related to P2P loan. At this moment, those online platform companies mediating P2P loan are not included as financial companies, expected to cause various legal arguments. Financial Services Commission has released a guideline in February of this year saying that limit of P2P loan is 10 million Korean Won per arbitrating company and 5 million Korean Won per borrower. However, what is more important is to make a law supporting this institutional system. If legislation on P2P loan is implemented without care, it may disturb growth of the field but it may result in the damage of investors if not clearly defined by law. As this is the case, first, "revision of execution regulations for loan business" should take place as soon as possible to intensify inspection of loan companies by registering them to Financial Services Commission. Second, saving customer fund separately in the their organization. Third, making law on protecting investors such as regulating exaggerative advertisement. Fourth, to have transparent and fair public announcement system, standardized agreement and guideline describing clear understanding on autonomous public information publication of P2P loan online platform business and information on the borrower.