• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.9 no.2
• /
• pp.23-33
• /
• 2014

This paper aims at delivering significant implications to high-tech startups by visualizing the implementation process of leading KOSDAQ listed companies's business model. This paper founded two meaningful outcomes; first, hish-tech starts-up make a clear direction of implementing intangible business model in real business, second, targeting the role model of benchmarking business model among leading companies, by linking common feature between high-tech starts-up and leading KOSDAQ listed venutures sharing one of Key performance indexes falls on viable business model. The research results of visualizing the implementation of leading KOSDAQ listed ventures' business model shows three major implications. First, business model indicates not just simple logic of creating and delivering values, but more shows CEO leading management vehicle. Second, business model represents the multi-dimension process itself of integrating in and out company's core assets and competencies initiated by CEO. Third, financial outcomes of business model is automatic result of implementing on setting target customer, creating value, and delivering it rather than planned strategically. Fourth, the focal points of implementing business model falls on collecting real information from business sites.

• Journal of Intelligence and Information Systems
• /
• v.29 no.3
• /
• pp.361-381
• /
• 2023

Research on corporate bankruptcy prediction has been focused on financial information. Since the company's financial information is updated quarterly, there is a problem that timeliness is insufficient in predicting the possibility of a company's business closure in real time. Evaluated companies that want to improve this need a method of judging the soundness of a company that uses information other than financial information to judge the soundness of a target company. To this end, as information technology has made it easier to collect non-financial information about companies, research has been conducted to apply additional variables and various methodologies other than financial information to predict corporate bankruptcy. It has become an important research task to determine whether it has an effect. In this study, we examined the impact of electronic payment-related information, which constitutes non-financial information, when predicting the closure of business operators using electronic payment service and examined the difference in closure prediction accuracy according to the combination of financial and non-financial information. Specifically, three research models consisting of a financial information model, a non-financial information model, and a combined model were designed, and the closure prediction accuracy was confirmed with six algorithms including the Multi Layer Perceptron (MLP) algorithm. The model combining financial and non-financial information showed the highest prediction accuracy, followed by the non-financial information model and the financial information model in order. As for the prediction accuracy of business closure by algorithm, XGBoost showed the highest prediction accuracy among the six algorithms. As a result of examining the relative importance of a total of 87 variables used to predict business closure, it was confirmed that more than 70% of the top 20 variables that had a significant impact on the prediction of business closure were non-financial information. Through this, it was confirmed that electronic payment-related information of non-financial information is an important variable in predicting business closure, and the possibility of using non-financial information as an alternative to financial information was also examined. Based on this study, the importance of collecting and utilizing non-financial information as information that can predict business closure is recognized, and a plan to utilize it for corporate decision-making is also proposed.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.15 no.6
• /
• pp.81-94
• /
• 2020

Based on innovative technologies and new start-up ideas, startups have been actively researched on the entrepreneurship needed to strengthen the organization's capabilities and generate results in the start-up process. This study studied the entrepreneurial orientation on the performance of startups in the Philippines and the financial and non-financial performance of enterprises. This study carried out not only the entrepreneurial orientation to the performance of Filipino startups but also the role of social capital as parameters in the performance of enterprises. The empirical research was completed for 93 Philippine startups and the suitability of the research model was evaluated with a PLS-based structural equation model. The results of the study first confirmed that the enterprise orientation of Philippine startups has a positive impact on both financial and non-financial performance of the enterprises. Second, the entrepreneurial orientation of Philippine startups has been shown to have a positive effect on both the structural, cognitive and relational dimensions of social capital. Third, it was found that the relevant dimensions of social capital mediated both the corporate orientation and the relationship between the financial and non-financial performance of the entity. Entrepreneurial orientation has been confirmed to be directly or indirectly affecting the performance of startups through social capital. These findings reaffirmed that entrepreneurial orientation is still a valid important factor in developing countries as well as in countries such as Korea and the United States. Based on this study, we have identified the need for research from a more integrated perspective, such as the concept of strategic orientation. Finally, practical implications were presented to reflect the findings analyzed.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.17 no.1
• /
• pp.229-249
• /
• 2022

This paper investigates machine learning models for predicting the designation of administrative issues in the KOSDAQ market through various techniques. When a company in the Korean stock market is designated as administrative issue, the market recognizes the event itself as negative information, causing losses to the company and investors. The purpose of this study is to evaluate alternative methods for developing a artificial intelligence service to examine a possibility to the designation of administrative issues early through the financial ratio of companies and to help investors manage portfolio risks. In this study, the independent variables used 21 financial ratios representing profitability, stability, activity, and growth. From 2011 to 2020, when K-IFRS was applied, financial data of companies in administrative issues and non-administrative issues stocks are sampled. Logistic regression analysis, decision tree, support vector machine, random forest, and LightGBM are used to predict the designation of administrative issues. According to the results of analysis, LightGBM with 82.73% classification accuracy is the best prediction model, and the prediction model with the lowest classification accuracy is a decision tree with 71.94% accuracy. As a result of checking the top three variables of the importance of variables in the decision tree-based learning model, the financial variables common in each model are ROE(Net profit) and Capital stock turnover ratio, which are relatively important variables in designating administrative issues. In general, it is confirmed that the learning model using the ensemble had higher predictive performance than the single learning model.

• Journal of Korea Technology Innovation Society
• /
• v.3 no.1
• /
• pp.22-36
• /
• 2000

본 연구에서는 신제품의 경제성 분석에 있어 기존연구의 분리된 방법론을 통합한 새로운 모델의 수립에 의의가 있다. 필자가 제시하고 있는 신제품의 전주기 경제성 분석모델은 신제품의 연구시작 단계에서부터 시제품 생산, 공장가동 생산판매 공익적 가치분석, 소비자 행태분석 단계까지를 통합하고 있다 본 모델에서는 기존의 경제학, 경여학, 산업공학에서 개별적으로 분리되어 사용되어 온 경제성 분석의 방법론을 수요자 중심으로 통합함으로써 분석의 객관성과 구체적 적용성을 높였으며 또한 각 분석단계마다 연구사례를 제시하여 독자의 이해와 활용성을 제고시켰다.

• Journal of the Korea Safety Management & Science
• /
• v.7 no.5
• /
• pp.135-153
• /
• 2005

자가통제평가(CSA : Control Self Assessment)는 핵심사업 목적을 달성하는데 개입되는 위험 그리고 그러한 사업위험을 관리하기 위하여 설계된 내부통제를 공식적이고 문서화된 협력적 프로세스에 의하여 검토하기 위하여 사용되는 방법론이다. 현재 많은 기업에서 효과적인 조직통제와 비즈니스 프로세스 개선을 위하여 전문 감사인과 경영인들이 기업지배구조 조직의 강력한 위험관리 도구로서 자가통제평가의 필요성을 강조하고 있다. 자가통제평가는 해당 조직의 담당부서나 팀에서 내부통제평가를 통하여 내부통제상의 재무보고, 준법, 사업 및 운영상의 효율성 등을 확보하기 위해서 설치되며, 효과적인 모니터 장치로서 기업지배구조상의 업무 프로세스를 정비하고 업무에서 발생하는 제반 정보의 흐름을 원활하게 해서 조직에게 손해가 발생할 수 있는 여러 가지 위험으로부터 회사를 사전에 차단하는 기능을 한다. 이러한 부분에서 효과적인 자가통제평가 시스템을 구축하는 것이 중요할 것이다. 본 연구에서는 e-Business 관련 기업지배구조의 안전성을 확보하기 위한 자가통제평가 모델에 대한 개발 필요성과 관련 자가통제평가 세가지 기본 모델들을 통하여 장단점을 제시하고, 자가통제평가 모델의 필요성을 논의하였다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2014.04a
• /
• pp.773-776
• /
• 2014

최근 기업의 기술력이 기업의 경영성과에 미치는 영향이 증가함에 따라 기업이 보유한 기술적 정보가 경영성과예측에 있어 필수적 요소로 대두되었다. 본 연구에서는 기업의 기술적 정보를 담고 있는 특허정보 및 특허지표를 활용하여 기업의 경영성과를 정량적으로 예측하는 모델을 제안한다. 또 미국 정보통신기업의 재무정보와 특허정보를 활용하여 제안된 예측모델을 구축하고 그 성능을 검증 및 평가하였다. 본 연구에서 제안한 기업실적예측 모델의 구축을 위해 인간의 두뇌가 학습하는 과정을 모방한 인공신경망알고리즘을 활용하였다.

• Journal of Technology Innovation
• /
• v.21 no.2
• /
• pp.285-317
• /
• 2013

This paper delineates dynamic capabilities, which can be measured by internal capability and external knowledge, and also, in the shape of dynamic capabilities, bases on that corporate actions are expatiated by fitness and rent of evolutionary perspective. To achieve the goal of this study, classifying types of Nano-technology enterprise and suggesting analytical pattern based on dynamic capabilities, this thesis substantially analyzes how to categorize a type of enterprise and gauge a result through a survey of 359 domestic companies producing goods concerned with Nano-technology. This paper analyzes whether or not the internal capability and external knowledge affect the outcome of a certain enterprise. Moreover, in according to the results of practical analysis, it deducts 2 new variables by applying principal component analysis on four previous variables showing the internal capability and external knowledge. By classifying four types of enterprises with criterion of these two factors based on a relative extent and comparing each typical financial result, this paper suggests that the companies with relatively higher level of the internal capability and external knowledge surpass the lower ones at the financial outcome. Not only this, but also the technology-level analysis shows the same result, the higher capability and knowledge the higher performance. However, the analysis based on the difference of the four types of financial outcomes reveals that technological and evolutionary fitness can determine financial achievement.

• Korean Journal of Construction Engineering and Management
• /
• v.21 no.5
• /
• pp.64-73
• /
• 2020

The government announced a plan for fund support to the enterprises with high possibility of recovery and early restructuring for the enterprises with low recovery by objectifying credit assessment system. Such announcement of government could be extended to restructuring risk of middle standing enterprises with low financial soundness by establishing the basis to prepare prompt restructuring by reinforcing the basis for restructuring through capital market. This research analyzed financial soundness based on the financial evaluation of bank by selecting 10 middle standing construction companies which focused on housing business in 2019, based on such analysis result, it was confirmed that there was a high possibility of restructuring risk. This research determined that there would be a decrease in growth rate of construction industry on the whole in 2020 due to fall of economic growth rate and reinforced real estate regulation, accordingly, there's a big possibility for middle standing construction companies with paid-in capital ratio due to its low possibility of maintenance of stable credit rating. This research established KCSI assessment model by utilizing the material of a reliable research institute in order for middle standing construction companies to evade restructuring risk, and indicated risk ratio differentiated per each item through a working-level expert survey. Such research result could suggest credit risk reduction method to middle standing construction company management staffs, and prepare a basis to evade restructuring risk.

• Korean Journal of Construction Engineering and Management
• /
• v.19 no.2
• /
• pp.25-37
• /
• 2018

In recent times, private sector allocates the risk between private sector investors in terms of equity transaction and agreement transaction. The additional risk-allocation have made the cash flows of private sector investors fluctuated and some of the PPP projects delayed. Therefore, analyzing the impact of the risk reallocation between private sector investors on their cash flows is critical for encouraging the private sector participants. In this study, a model to evaluate the financial viability of PPP project is developed based on the discounted cash flow analysis. The model can analyze the variability by equity and agreement transaction by identifying key variables of equity transaction, influence factors of agreement transaction, and relationship between the transactions and investor's profitability. It is expected that the private sector can determine the investment decision for PPP projects when the risk reallocation is occurred.