• Journal of the Korea Academia-Industrial cooperation Society
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• v.9 no.5
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• pp.1446-1452
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• 2008

Recently many Company are investing time and money in the implementation of the Knowledge Management System (KMS). The scales and methodologies of their investment fur KMS has various appearances according to company-size and also level of understanding about KMS systems. The interest in KMS is increased with the P. Druckers assertion that the economic power shifts to the person who can manage the "Knowledge". But there is also mistrust about ROI of KMS related with the management performances. In this paper The level of Codification and Personalization of Practice Types of KMS will be analyzed in order to make an empirical analysis about the Irrelevance between KMS-Investment and corporate performances. To complete this study, correlation- and average analysis will be performed. As the measurement parameters for the corporate performances, we use the 4 categories, Financial, Customer, Process and Education-Growth Aspect, of BSC (Balanced ScoreCard) concept.

• 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 the Korean Home Economics Association
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• v.44 no.5 s.219
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• pp.129-142
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• 2006

The purpose of this research was to find the solution of problems originated from financial illiteracy. To accomplish this task, the content which supposed to be taught in the area of personal finance in the Elementary, Middle and High School curricular were identified based on the previous research. Then, the personal finance content taught in public education system were analyzed rising content analysis of over 100 text books related to Personal finance education, such as Home Economics, Social Science, Economics, and Human Life Sciences, etc. Based on the results, followings were concluded. In spite of the fact that only few personal financial education topics were included in the 7th Education Curriculum, many topics taught in the subject of Social Science were duplicated in the Home Economics Curricular. To accomplish the ultimate goal of personal financial education, an introduction of the new course(Personal Finance) in the regular curriculum like U.S. is strongly recommended.

• 한국벤처창업학회:학술대회논문집
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• 2024.04a
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• pp.119-123
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• 2024

우리나라 전체 자영업자에서 청년 자영업자의 비율은 감소하고, 중장년 자영업자의 비율이 증가하고 있다. 또한 청년층 자영업의 평균 지속기간은 37개월로 대략 3년의 자영업 유지기간을 보이고 있으나, 청년 자영업자 40% 정도는 2년 이내에 자영업에서 이탈하는 것으로 나타났다. 청년자영업자 사업의 짧은 지속 기간과 높은 이탈률에도 불구하고, 우리나라의 자영업 시장구조가 50~60대 중장년층을 중심으로 형성되어 있기 때문에 20~30대 청년층의 경우 분석 및 논의 대상에서 큰 비중을 차지하지 못하고 있다. 이에 본 연구에서는 청년 자영업자의 미래지향적이며, 창조적인 아이디어를 갖고 적극적으로 실행해보고자 하는 성향과 위험을 감수하는 기업가정신이 사업성과에 영향을 미칠 것이라는 상황에 주목하였으며, 이러한 상황에서 개인의 '자기효능감, 낙관주의, 복원력, 희망'과 같은 긍정심리자본이 매개한다고 가정하고 연구모형을 설정하였다. 이를 위해 기업가정신의 구성요소인 '혁신성, 진취성, 위험감수성'을 독립변수로, '균형성과관리(BSC)의 재무적 관점, 고객 관점, 내부 프로세스 관점, 학습과 성장 관점'을 도입한 사업성과를 종속변수로 설정하였다. 또한 선행연구를 기반으로 긍정심리자본을 매개변수로 채택하여 변수 간의 관계를 실증적 분석을 통하여 검증하고자 한다.

• Journal of Intelligence and Information Systems
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• v.21 no.4
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• pp.111-131
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• 2015

There are only a handful number of research conducted on pattern analysis of corporate distress as compared with research for bankruptcy prediction. The few that exists mainly focus on audited firms because financial data collection is easier for these firms. But in reality, corporate financial distress is a far more common and critical phenomenon for non-audited firms which are mainly comprised of small and medium sized firms. The purpose of this paper is to classify non-audited firms under distress according to their financial ratio using data mining; Self-Organizing Map (SOM). SOM is a type of artificial neural network that is trained using unsupervised learning to produce a lower dimensional discretized representation of the input space of the training samples, called a map. SOM is different from other artificial neural networks as it applies competitive learning as opposed to error-correction learning such as backpropagation with gradient descent, and in the sense that it uses a neighborhood function to preserve the topological properties of the input space. It is one of the popular and successful clustering algorithm. In this study, we classify types of financial distress firms, specially, non-audited firms. In the empirical test, we collect 10 financial ratios of 100 non-audited firms under distress in 2004 for the previous two years (2002 and 2003). Using these financial ratios and the SOM algorithm, five distinct patterns were distinguished. In pattern 1, financial distress was very serious in almost all financial ratios. 12% of the firms are included in these patterns. In pattern 2, financial distress was weak in almost financial ratios. 14% of the firms are included in pattern 2. In pattern 3, growth ratio was the worst among all patterns. It is speculated that the firms of this pattern may be under distress due to severe competition in their industries. Approximately 30% of the firms fell into this group. In pattern 4, the growth ratio was higher than any other pattern but the cash ratio and profitability ratio were not at the level of the growth ratio. It is concluded that the firms of this pattern were under distress in pursuit of expanding their business. About 25% of the firms were in this pattern. Last, pattern 5 encompassed very solvent firms. Perhaps firms of this pattern were distressed due to a bad short-term strategic decision or due to problems with the enterpriser of the firms. Approximately 18% of the firms were under this pattern. This study has the academic and empirical contribution. In the perspectives of the academic contribution, non-audited companies that tend to be easily bankrupt and have the unstructured or easily manipulated financial data are classified by the data mining technology (Self-Organizing Map) rather than big sized audited firms that have the well prepared and reliable financial data. In the perspectives of the empirical one, even though the financial data of the non-audited firms are conducted to analyze, it is useful for find out the first order symptom of financial distress, which makes us to forecast the prediction of bankruptcy of the firms and to manage the early warning and alert signal. These are the academic and empirical contribution of this study. The limitation of this research is to analyze only 100 corporates due to the difficulty of collecting the financial data of the non-audited firms, which make us to be hard to proceed to the analysis by the category or size difference. Also, non-financial qualitative data is crucial for the analysis of bankruptcy. Thus, the non-financial qualitative factor is taken into account for the next study. This study sheds some light on the non-audited small and medium sized firms' distress prediction in the future.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.6
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• pp.99-109
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• 2016

The purpose of this study is to review the relationship between corporate entrepreneurship and performance, and the moderating effect of CEO's transformational leadership in entrepreneurs'cooperative. In order to verify and achieve the purposes mentioned above, questionnaire data were gathered and analysed from 215 employees of entrepreneurs'cooperative in Metropolitan and kangwon-do vicinity. Multiple regression and multiple hierarchical regression analysis were applied to test the proposed hypotheses: 1) the relationship between corporate entrepreneurship(innovativeness, risk-taking, and proactiveness) and performance(sales volume, profit, employment), 2) the moderating effect of CEO's transformational leadership(charisma, individual consideration, intellectual stimulation) on the relationship between corporate entrepreneurship and performance. Empirical survey's findings are as follows; First, risk-taking appeared to be positively related with sales volume, profit, and employment. Proactiveness appeared to be positively related with sales volume and profit. But innovativeness appeared not to be significantly related with sales volume, profit, and employment. Second, CEO's transformational leadership appeared to be related with financial performance(sales volume and profit), but not to be related with employment. Charisma and individual consideration moderated positively the relationship between corporate entrepreneurship and financial performance(sales volume and profit). Intellectual stimulation moderated positively only the relationship between corporate entrepreneurship and profit.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.2
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• pp.19-34
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• 2021

The government budget for promoting startup have been skyrocketed as catching up with increasing demands for high-tech startup by disruptive innovation resulted from rapid technology change. However, major trend of startup have still fallen on self-employed type of startup due to the lack of expertise and fund in spite of desperate government policy efforts. In reality, the access to high-tech startup has been very limited and too high huddle to would-be entrepreneur. This paper implement empirical analysis on the effects of entrepreneur competency and satisfaction level to government support, considering these as the KSF for the growth and success of high-tech startup, to the performance of the company. In particular, it focus on defining unique characteristics of high-tech startup through differential proving by the backgrounds of entrepreneur such as major, R&D experience, patent possession, CTO possession. This research carry out survey to 217 entrepreneurs in high-tech company in Daejon and Daegue at R&D Special Innopolis Zone. Research results are as follow. First, entrepreneurial achievement competencies, conceptualization competencies, network competencies and market recognition competencies positively affect the financial and non-financial performance and organizational and technical competencies, while organizational and technological competencies only positively impact on non-financial performance. Second, the satisfaction level of government support showed a positive moderating effect on entrepreneurial achievement competencies and financial performance, while no significant effect in other competencies. Third, positive differential effect by the technological background of entrepreneur such as Major, R&D experience, patent possession, CTO possession) have been confirmed. This paper deliver several significant implications and contributions, First, it propose classified and systematized entrepreneur competency through the domestic and foreign literature reviews. Second, it proves the need for the wider spread of team based startup culture rather then sole startup. Third, it also proves the important role of technological background of entrepreneur among the characteristics of high-tech startup.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.2
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• pp.221-232
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• 2014

Many preliminary entrepreneurs are ready to start a business in every year. However, starting and preparing business have a lot of difficulties. Entrepreneurship is the most important factor for overcoming these difficulties. But, it is not easy to understand entrepreneurship to founders despite many research scholars. In this paper, we are focused on easy understanding of entrepreneurs. Instead of vague theories, we analyzed selected two companies in Korea. From the beginning until now, these companies have founders entrepreneurship and organization entrepreneurship. we studied these entrepreneurship factors with other Various causes. Analysis of two cases is summarized into three type. First, both companies had well-founded internal network system. Trained employees in internal network were flexible to meet the market conditions. Also, network effect made that employees can offer their idea and make discussions. Second, The company quickly recognized for organizational culture despite of most other companies recent awareness. This factor was the basic driving force for solving human resource management problem of small size companies. final factor is innovation capacity of these companies. Financial difficulties experienced of establishment is common to every company. However, two companies has continued to invest research and development despite of this financial problem. As a result, intellectual property management was accepted, as well as technology development. Clearly, these three factors are consistently applied since established and led to the company's continued growth and success.

• Korean Journal of Labor Studies
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• v.17 no.1
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• pp.1-36
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• 2011

The purpose of this study is to analyze the effect to financial outcome and workers' outcome, using the manufacturing industry database of Human Capital corporate Panel from Korea Research Institute for Vocational Education & Training. Especially, this study used the typology of Lean production and Autonomous team production, that are the typical form of alternative work organization, to analyze. In the case of domestic manufacturing industry, individual participation practices, that have the main characteristics such as QC or suggestion system, is expanded. Therefore, with the reference of Lean production, Autonomous Team Production and the Taylor system are compared and analyzed, considering the characteristics of Socio-technical System. As a result, it is showed that the Lean production and Autonomous Team Production as a alternative work organization are more positive about the organizational performance and workers' outcome than the taylor system. However, when Lean production and Autonomous Team Production are compared, it is showed unsignificant distinction to the effect of organizational performance. Meanwhile, Lean production showed more negative effect on the every dependent variables such as working hours, income, job satisfaction, and organizational commitment as workers' performance than the Autonomous Team Production. Although the common ideas and belief is that the Lean Production is superior for the quality and organizational performance improvement, it is implied the possibility that there is some damaged workers' performance on the hidden side of that mechanism.

• The Korean Journal of Financial Management
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• v.18 no.1
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• pp.107-128
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• 2001

금융기관이 직면하는 시장위험관리와 관련된 연구는 이자율과 주식가격 변동위험, 또는 환율과 이자율 변동위험만을 고려한 자산배분모델이므로 그 모형의 정교성에도 불구하고 국제금융기관의 시장위험관리 모형으로 이용하기에는 부족한 점이 있다. 시장위험인 VAR를 측정하는 방법 중 포트폴리오 VAR 측정방법인 델타-노말 방법을 응용하여 금융기관이 시장위험을 종합적으로 관리하는 한편, 기대수익을 최대화시키는 자산-부채의 최적배분에 대한 모형을 유도할 수 있다. 본 논문은 포트폴리오 접근법을 이용하여 금융기관의 시장위험을 종합적으로 관리할 수 있는 모형을 개발하는 동시에 미국, 일본, 영국, 독일의 주요 금융자산의 가격변동자료를 바탕으로 실증적 분석을 시도하였다. 이론적 모형과 관련하여 국제금융기관이 시장위험을 통제하는 한편 목표수익을 달성하는데 필요한 $m_1$ 종류의 국내자산과 부채의 규모, $m_2$ 종류의 외화자산과 부채의 규모를 동시적으로 결정할 수 있는 모델을 개발하였다. 이 모형은 금융기관의 위험포지션과 목표수익이 변동함에 따라 재구성되어야 할 국내외 자산과 부채의 포트폴리오에 대한 종류와 규모를 구체적으로 파악할 수 있게 한다. 실증분석을 위해 미국에 본점을 두고 미국, 일본, 영국, 독일에서 영업활동을 하는 국제금융기관이 16개의 국내외 금융자산을 이용 가능한 것으로 가정하였다. 1995년 1월부터 1999년 6월까지 이들 금융자산의 월별자료와 각 국 통화의 대 U.S. 달러 환율을 이용하여 목표이익 10,000천 달러를 실현하는 한편 이자율과 환율 위험을 최소화시키는 자산, 부채의 적정구성에 관한 결과를 제시하였다.구의 성과로는 특정 투자자 집단이 주가의 움직임에 따라 매매를 하는 수동적 전략의 의미보다는 적극적으로 주가를 움직이는 주체로서 외국인투자자와 일부 기관투자자의 존재를 확인할 수 있었다는 점이며, 주가 움직임에 따른 개인투자자와 일부 기관 투자자의 수동적 매매 스타일과 기관투자자 사이의 투자스타일의 이질성을 통계적으로 확인할 수 있었다는 데에 있다.남아 각국과 우리나라간에는 주가변동에 시차가 없는 것으로 나타났다. 그러나 각국간 표준시차 및 거래소 거래시간을 고려하면 미국, 영국, 독일의 경우에도 그 시차는 1일이내이거나 거의 시차가 없는 것으로 판단된다. 발견되어 선물의 선도효과가 지배적임을 발견하였다.적 일정하게 하는 소비행동을 목표로 삼고 소비와 투자에 대한 의사결정을 내리고 있음이 실증분석을 통하여 밝혀졌다. 투자자들은 무위험 자산과 위험성 자산을 동시에 고려하여 포트폴리오를 구성하는 투자활동을 행동에 옮기고 있다.서, Loser포트폴리오를 매수보유하는 반전거래전략이 Winner포트폴리오를 매수보유하는 계속거래전략보다 적합한 전략임을 알 수 있었다. 다섯째, Loser포트폴리오와 Winner포트폴리오를 각각 투자대상종목으로써 매수보유한 반전거래전략과 계속거래 전략에 대한 유용성을 비교검증한 Loser포트폴리오와 Winner포트폴리오 각각의 1개월 평균초과수익률에 의하면, 반전거래전략의 Loser포트폴리오가 계속거래전략의 Winner포트폴리오보다 약 5배정도의 높은 1개월 평균초과수익률을 실현하였고, 반전거래전략의 유용성을 충분히 발휘하기 위하여 장단기의 투자기간을 설정할 경우에 6개월에서 36개월로 이동함에 따라 6개월부터 24개월까지는 초과수익률이 상승하지만,