• Title/Summary/Keyword: 재무지원

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Analysis of Business Strategy for Korean Ethnic Media Companies based on Resource Based View (글로벌 한국어 방송사의 경영전략 연구 : 기업자원모델을 중심으로)

  • Kim, Jongha;Chung, Yoonkyung
    • Review of Culture and Economy
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    • v.19 no.2
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    • pp.147-170
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    • 2016
  • This study has identified the current status and challenges to development of Korean Ethnic Media Companies in North America, China, and Australia New Zealand and aimed to understand implication of cultural policy. It examines the media circumstances, business resources of Korean Ethnic Media Companies(KEMC), and Korean ethnic broadcasting aid project which is operated for 10 years, and interviewed nine CEOs' of KEMC. According to the analysis, KEMCs in North America are in the market which is fully exposed to competition. China's KEMCs are the "limitedly localized market" which is supported by the government's regulatory for minority media. Australia & New Zealande's KEMCs are the market which potential growth is expected. North American KEMCs are needed to upgrade the business structure and organizational resources for content differentiation. China's KEMCs have to diversify financial resources and to consolidate content power. and Australia & New Zealande's KEMCs need support & cooperatation from home country for ensuring high-quality content.

폐업기업 대표의 불안과 우울 및 회복탄력성이 삶의 질과 재창업 의지에 미치는 영향

  • Jeong, Geum-Jong
    • 한국벤처창업학회:학술대회논문집
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    • 2019.04a
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    • pp.45-49
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    • 2019
  • 매년 수많은 기업이 폐업하고 있으며 그 숫자만큼 폐업 기업의 대표가 실패하고 있다. 중소기업연구원의 재기성공요인 분석을 통한 중소 벤처기업의 재도전 활성화 연구(백필규,2011)에 의하면 폐업이나 부도의 형태로 실패하는 기업이 급격하게 증가한 시점은 외환위기가 발생했던 1997년과 1998년의 사이로 보고 있다. 부도 기업의 숫자가 외환위기때는 약 4만사, 1999년부터 2010년까지도 평균 4만 7천여사가 발생하였고 폐업기업수는 부도기업보다 훨씬 많아 매년 80~90만개 전후의 기업이 실패하고 있다. 최근 IBK경제연구소의 실패기업인의 재창업 지원제도 설문조사 결과(김나라,2017)에 의하면 최근 5년간 창업기업은 연평균 77만개사, 폐업기업은 69만개사로 조사되었으며 창업기업의 5년 생존율은 27.3%로 OECD 주요회원국 17개국중 최하위를 차지했다. 오랜시간 대한민국 사회는 사업실패는 곧 패가망신이라는 인식이 깊게 자리잡고 있다. 연대보증이나 재기가 어려운 구조로 인하여 폐업기업의 대표가 실패하면 가족들도 모두 힘들어지고 본인은 경제적, 심리적 어려움에 직면하고 있는 현실이다. 정부와 민간 기관들이 실패기업인들의 재기를 지원하기 위하여 다양한 제도를 운영하고 있지만 아직 시행 초기 단계라 보다 재기를 원하는 기업인들에게 맞춤형으로 도움을 줄 수 있는 실질적이고 효과적인 시스템이 구축되었다 할 수 없다. 창업강국인 미국과 중국의 기업가들은 평균 2.8회의 실패 경험을 가지고 있으나 한국의 기업가는 1.3회의 실패 경험을 보유 한다.(중기청, 2014) 폐업기업 대표의 재무적 손실의 규모와 관계없이 불안과 우울이 낮고 회복탄력성이 높은 기업가가 본인과 가족의 삶의 질과 재창업의지에 긍정적인 효과가 있음으로 나타났다. 연구 대상은 재기중소기업개발원의 재기 기업인과 정부 재창업 지원 프로그램에 지원한 재기 기업인을 대상으로 조사 하였으며 본 연구를 통해 폐업기업 대표에게 필요한 사회적 안전장치와 국가의 창업지원이 고용창출, 매출증가로 이어질 수 있는 선순환 구조의 재기 창업 생태계를 만드는 데 일조하고자 한다.

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Using GA based Input Selection Method for Artificial Neural Network Modeling Application to Bankruptcy Prediction (유전자 알고리즘을 활용한 인공신경망 모형 최적입력변수의 선정: 부도예측 모형을 중심으로)

  • 홍승현;신경식
    • Journal of Intelligence and Information Systems
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    • v.9 no.1
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    • pp.227-249
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    • 2003
  • Prediction of corporate failure using past financial data is a well-documented topic. Early studies of bankruptcy prediction used statistical techniques such as multiple discriminant analysis, logit and probit. Recently, however, numerous studies have demonstrated that artificial intelligence such as neural networks can be an alternative methodology for classification problems to which traditional statistical methods have long been applied. In building neural network model, the selection of independent and dependent variables should be approached with great care and should be treated as model construction process. Irrespective of the efficiency of a teaming procedure in terms of convergence, generalization and stability, the ultimate performance of the estimator will depend on the relevance of the selected input variables and the quality of the data used. Approaches developed in statistical methods such as correlation analysis and stepwise selection method are often very useful. These methods, however, may not be the optimal ones for the development of neural network model. In this paper, we propose a genetic algorithms approach to find an optimal or near optimal input variables fur neural network modeling. The proposed approach is demonstrated by applications to bankruptcy prediction modeling. Our experimental results show that this approach increases overall classification accuracy rate significantly.

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Study on the Plan for Reduction of Credit Risk of Medium-size Construction Companies Preparing for Restructuring (구조조정에 대비한 중견건설사 신용리스크 저감방안에 관한 연구)

  • Lee, YunHong
    • Korean Journal of Construction Engineering and Management
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    • v.21 no.5
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    • pp.64-73
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    • 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.

Success and Failure Factors for Workout SMEs (워크아웃 중소기업의 성공과 실패 요인)

  • Lee, Byeong-Ho;Kim, Moon-Kyum;Kim, Soon-Choul
    • Korean small business review
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    • v.42 no.2
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    • pp.23-42
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    • 2020
  • In this paper, it is analyzed that the financial factors of successful/unsuccessful companies in restructuring among Korean SMEs. For this purpose, the cases of 494 SMEs that had been subjected to workout programs due to financial distress between 2008-2014 were collected from A bank which is a SME financing bank, and had been subjected to logistic regression and t-test. And the sample cases are categorized into two groups, companies subject to external audit and the others, to provide more reliability. The result suggests; First, in all sample cases of SMEs, those are success factors for workout in connection with smaller total assets, lager sales amount, lower ratio of intangible assets, higher ratio of operating profit, lower ratio of short-term debt, higher ratio of long-term debt, and longer corporation history. Secondly, several factors have different influence on companies subject to external audit and the others. Lastly, the success factors for workout in Korean SMEs turned out to be different from those suggested in previous studies that are focused on large company. Some of the financial factors that led financially distressed firm to a successful restructuring showed the same results as large companies, but some of them were not related to them or even had the inverse influence on SMEs. This implies that SMEs have their distinctive success factors.

Predicting Future ESG Performance using Past Corporate Financial Information: Application of Deep Neural Networks (심층신경망을 활용한 데이터 기반 ESG 성과 예측에 관한 연구: 기업 재무 정보를 중심으로)

  • Min-Seung Kim;Seung-Hwan Moon;Sungwon Choi
    • Journal of Intelligence and Information Systems
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    • v.29 no.2
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    • pp.85-100
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    • 2023
  • Corporate ESG performance (environmental, social, and corporate governance) reflecting a company's strategic sustainability has emerged as one of the main factors in today's investment decisions. The traditional ESG performance rating process is largely performed in a qualitative and subjective manner based on the institution-specific criteria, entailing limitations in reliability, predictability, and timeliness when making investment decisions. This study attempted to predict the corporate ESG rating through automated machine learning based on quantitative and disclosed corporate financial information. Using 12 types (21,360 cases) of market-disclosed financial information and 1,780 ESG measures available through the Korea Institute of Corporate Governance and Sustainability during 2019 to 2021, we suggested a deep neural network prediction model. Our model yielded about 86% of accurate classification performance in predicting ESG rating, showing better performance than other comparative models. This study contributed the literature in a way that the model achieved relatively accurate ESG rating predictions through an automated process using quantitative and publicly available corporate financial information. In terms of practical implications, the general investors can benefit from the prediction accuracy and time efficiency of our proposed model with nominal cost. In addition, this study can be expanded by accumulating more Korean and international data and by developing a more robust and complex model in the future.

An Empirical Study on the Effect of e-Commerce Guarantee Provided in Connection with e-Marketplace on the Management Performance of SMEs (e-Marketplace와 연계되어 제공되는 전자상거래 보증이 중소기업의 경영성과에 미치는 영향에 관한 실증연구)

  • Myung Soo Kang;Chang Hee Han
    • Information Systems Review
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    • v.21 no.2
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    • pp.139-155
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    • 2019
  • Recently, the domestic e-commerce market has achieved remarkable growth through the spread of e-commerce throughout the industry. Nevertheless, the ratio of e-commerce use by our small and medium-sized enterprises has turned out to be very low. The reason for this low participation rate of SMEs in B2B e-commerce market is due to various reasons, but also the lack of empirical performance measurement and evaluation considering the characteristics of B2B e-commerce market in which SMEs participate. Therefore, this study was intended to analyze the effectiveness of B2B e-commerce use of B2B e-commerce to companies that are provided in conjunction with e-Marketplace by public credit guarantee agencies with experience in use. To this end, 14 items related to finance derived through prior research were used to conduct management performance analysis and hypothesis verification from a financial perspective. The implications of this study are expected to be that an empirical performance analysis from the financial perspective of a B2B e-commerce guarantee Utilized company can be used as a basis for policymaking for the activation of the B2B e-commerce guarantee in the future, thus contributing to the establishment of a stable business environment by supporting the expansion of e-commerce by small and medium-sized businesses.

The Effect of Entrepreneurial Competencies on Firm Performance of Necessity Entrepreneurship in Korea (생계형 창업의 창업가 역량이 기업성과에 미치는 영향)

  • Chang Bong Kim;Joon Soo Kim
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.19 no.3
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    • pp.13-26
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    • 2024
  • This study investigates how entrepreneurial competencies affect firm outcomes for necessity entrepreneurship in Korea. Based on a survey collected from 162 necessity entrepreneurs, this study conducted multiple regression analysis. The statistical results show that founder entrepreneurial competencies, such as risk-taking, tend to be associated with positive outcomes financially as well as non-financially, which suggests that the existing propositions of previous research on the relationship between risk-taking and firm performance can be applied to necessity entrepreneurship as well. Additionally, founder opportunity competencies and resilience increase the likelihood of better financial performance in necessity entrepreneurship compared to others, whereas their effect on non-financial performance is not statistically significant. This indicates that necessity entrepreneurs are likely to focus more on financial performance to survive than on non-financial performance, particularly concerning variables related to sustainability such as the environment and society. The findings of this study contribute to knowledge concerning the role of necessity entrepreneurs' competencies in the performance of their companies.

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Impact of Industrial Property Rights and Innovation Capabilities on Performance: Focusing on Venture Firm Confirmation System (산업재산권 및 혁신역량이 성과에 미치는 영향: 벤처기업확인제도 혜택을 중심으로)

  • Yim Kwang-hyuk;Choi Sang-ok
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.19 no.4
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    • pp.243-254
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    • 2024
  • In recent years, as support for venture companies and performance increase, investment scale increases. To support them goverment operates venture firm confirmation system as a part of a variety of policies. Many studies suggest venture confirmation system offer the practical assistance on performance of venture companies. However, simply venture firm confirmation system affects on performance of venture companies. This study sought to develop a theoretical research model about the impact of innovation capabilities and industrial property rights on venture companies' financial performance and technological capabilities through the venture company confirmation system. The following hypotheses were tested. First, the innovation capabilities of venture companies such as development capability, manufacturing capability, marketing capability, level of cost leadership, level of high added value, degree of clarity of business model, and degree of innovation of business model have a significant impact on the venture company confirmation system. Second, the industrial property rights of venture companies, such as the number of domestic industrial property rights, foreign industrial property rights, industrial property rights in domestic applications, and industrial property rights in overseas applications, do not have a significant impact on the venture business confirmation system. Third, the benefits of the venture business confirmation system, such as promotion of technology development, advertising effects, tax benefits, securing excellent human resources, financing and investment incentives, advantageous participation in government support systems, and deregulation, are related to the financial performance of venture businesses such as sales and operating profit., net profit and technological level. Lastly, it was confirmed that, except for research and development type venture companies, innovation capabilities and industrial property rights do not have a significant impact on financial performance and technological capabilities through the venture confirmation system. The implications of this study mean that in situations where a company's innovation capabilities are lacking, the supply and demand of the venture business confirmation system is weak. Therefore, in order to improve the benefits of the venture business verification system, it is necessary to operate the venture business verification system benefits mainly for companies with high corporate capabilities. Next, it means that industrial property rights are not related to the venture business confirmation system. Therefore, there will be no need to consider industrial property rights as an important matter in the certification of the venture business verification system. Lastly, the higher the level of benefits from the venture business confirmation system, the greater the company's performance and technological capabilities. Therefore, efforts should be made to utilize the venture business verification system in a way that can improve performance or technology through the benefits of the venture business verification system.

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Indexation and Importance Evaluation of Farmers' Acceptance Factors for New Farming Technologies (농가의 영농 신기술 수용요인 지표화 및 중요도 평가)

  • Jeong, Yun Hee;Seo, Sangtaek
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.11
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    • pp.254-263
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    • 2020
  • This study developed indexes of farmers' acceptance factors for new farming technologies and evaluated the importance of the developed. For this study, farming technologies were classified according to the criteria established by the Rural Development Administration, and the Delphi technique was applied to evaluate the importance of the indexes. The indexes were composed of two tiers and evaluated by the analytic hierarchy process (AHP). Results showed that the importance of the first tier was finance and profitability with 43.9%, technology affairs 23.6%, labor environments 22.4%, and related industries and service system 10.1%. The importance of the second tier was the ease of technology acceptance 64.9% and technology completion 35.1% for technology affairs in the first tier, labor intensity 53.7%, work hazard 26.7%, working hours 19.6% for labor environment, farm income increment 69.9% and new fund required 30.1% for finance and profitability, and training and service system 66.7% and activation of related industries 33.7% for related industry and service system. This study may contribute to farmers' acceptance of new farming technologies and increase the efficiency and effectiveness of agricultural research and extension activities by the Rural Development Administration.