• 통상정보연구
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• 제14권3호
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• pp.3-30
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• 2012

중국 중소기업은 그 발전과정에 있어서 국가상황 및 경제적 상황과 밀접하게 관련된 독특한 특성과 규칙성을 보이고 있다. 2008년 미국에서 시작된 글로벌 금융위기를 계기로 중국의 수출비중과 경제성장이 감소하고 있다. 특히 중국의 중소기업은 자금부족, 수출감소, 위엔화 절상, 잠재적 성장요인 부족으로 파산에 직면해 있다. 본 연구의 목적은 중국 중소기업의 글로벌 성과요인으로서 국내외 시장환경, 해외시장진입을 위한 정부의 수출지원, 기업가 특성을 조사하는 것이다. 중국 중소기업을 대상으로 한 317개의 유효한 설문지를 기초로 다중회귀분석을 실시하여 연구모형과 가설검증을 실시하였으며, 그 결과는 다음과 같다. 첫째, 중국의 국내외 시장환경 요인이 높을수록 기업의 재무적 성과에 유의한 정(+)의 영향을 미치는 것으로 나타났다. 중국내시장환경과 국외시장환경 요인은 모두 재무적 성과에만 유의한 정(+)의 영향을 미치는 것으로 나타났다. 둘째, 중국정부의 수출지원정책 측면에서 해외시장개발지원은 기업의 재무적 성과와 비재무적 성과에 모두 유의한 정(+)의 영향을 미치는 것으로 나타났다. 특히 해외시장개발지원은 수출기업으로 하여금 진출국에서의 점유율, 개척현황, 유통현황, 시장적응 등 비재무적 성과에 더 높은 영향을 미치는 것으로 분석되었다. 대체적으로 중국정부의 수출지원정책은 글로벌 성과에 영향을 미치고 있지만 수출활동지원과 금융지원분야에 있어서는 아직 제도적인 지원책이 부족한 것으로 나타났다. 셋째, 기업가 정신 측면에서 기업가의 혁신성과 기업가의 진취성은 재무적 성과와 비재무성과 모두에 유의한 정(+)의 영향을 미치는 것으로 나타났다. 이러한 결과는 중국 중소수출기업의 재무적성과 및 비재무적 성과에 기업가의 자질 및 특성이 중요한 영향요인임을 알 수 있었다. 그리고 기업가 위험감수성은 비재무적 성과에만 유의한 부의 (-)영향을 미쳤다. 이는 기업가 위험감수성이 낮을수록 중소기업의 해외시장 점유율, 개척현황, 유통현황, 시장적응 등 비재무적인 글로벌성과에 도움이 됨을 의미하는 것으로 파악되었다. 본 연구의 결과를 통해 실무적 측면에서는 우선 중국 중소기업의 글로벌 성과를 높이기 위한 중국의 국내외 시장환경의 구조적인 영향요인, 중국정부의 수출지원정책 그리고 기업가 정신이 중소기업의 다차원적인 해외진출 성향 및 실절적인 성과에 유의적인 영향을 미치고 있음을 확인할 수 있었다.

• 한국IT서비스학회지
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• 제9권4호
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• pp.109-121
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• 2010

Most organizations adopt their own performance measurement systems. Those organizations select performance measures to meet their goals. Organizations can give only limited description of what performance measures are. Kaplan and Norton suggest that the Balanced Scorecard (BSC) to complement the conventional performance measures. The BSC can provide management system with a comprehensive strategic vision and integrates non-financial measures with financial measures. The BSC is widely used for measuring corporate performance. This paper investigates how the BSC-based performance measures can be applied to Learning City. The Learning City's performance measures and strategy map on the basis of the BSC are suggested in this research. This paper adopt the AR(assurance region)-DEA model which could limit the range of weight on performance measures to prevent each viewpoint of BSC from having unlimited elasticity. The proposed model is based on CCR model including a property of unit invariance to use the data without normalization process.

• 한국IT서비스학회지
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• 제5권1호
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• pp.35-46
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• 2006

In recent years, academic scholars and practitioners have given increasing attention to the importance of strategic performance measurement systems including both financial and non-financial performance metrics. The Balanced Scorecard (BSC) is known as integrated performance management framework that helps an enterprise to translate strategic objectives into relevant performance within an organization. While the current literatures and management articles offer BSC design and implementation. there are few reports of detailed validation of using the rationalized sets of CSF (Critical Success Factors) and KPI (Key Performance Indicators) for the Korean construction industry. This paper first propose the perceived sets of CSF/KPI using current literatures and validate with a major construction company's executives and senior managers in Korea. The paper then examines whether the perceived sets of CSF/KPI have co-relationships with the firm performances. The results of the research contribute in heightening of competitiveness of the Korean construction companies in strategic and performance management.

• 품질경영학회지
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• 제40권4호
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• pp.631-640
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• 2012

Purpose: This empirical study is focused on the relationship between innovation capability (R&D and Human Resource innovation) and performance in knowledge-based service firms. Methods: We build research model to test how each of innovation capability on technology and human resource is influenced on their financial and non-financial performance in the knowledge-based service industries. Based on the previous research, we hypothesized the factors are regarded innovation capabilities of the firms as the scale of R&D and human resources. Because this study is especially targeted to the performance of knowledge-based service firms. With the survey on 424 main knowledge-based service firms, the multi-regression analysis was performed. Results: The result showed that the scale of R&D and human resources capabilities are main factors for knowledge-based service firms' performance, which reflects the current industrial structure. Conclusion: This study empirically demonstrated that human resources are most important to the growth of knowledge-based service firms.

• 경영과학
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• 제18권1호
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• pp.135-145
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• 2001

In recent environment of dynamic management, there is growing recognition that information and knowledge management systems are essential for efficient/effective decision making by CEO. To cope with this situation, we suggest the Data-Miming scheme as a key component of integrated information and knowledge management system. The proposed system measures business performance by considering both VA(Value-Added), which represents stakeholder’s point of view and EVA (Economic Value-Added), which represents shareholder’s point of view. To mine the new information & Knowledge discovery, we applied the improved genetic algorithms that consider predictability, understandability (lucidity) and reasonability factors simultaneously, we use a linear combination model for GAs learning structure. Although this model’s predictability will be more decreased than non-linear model, this model can increase the knowledge’s understandability that is meaning of induced values. Moreover, we introduce a random variable scheme based on normal distribution for initial chromosomes in GAs, so we can expect to increase the knowledge’s reasonability that is degree of expert’s acceptability. the random variable scheme based on normal distribution uses statistical correlation/determination coefficient that is calculated with training data. To demonstrate the performance of the system, we conducted a case study using financial data of Korean automobile industry over 16 years from 1981 to 1996, which is taken from database of KISFAS (Korea Investors Services Financial Analysis System).

• 디지털융복합연구
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• 제10권4호
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• pp.79-93
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• 2012

경영자와 연구자들은 경영성과에 대해 관심도 높고 이에 대해 인식하고 있지만, 성숙도나 하부조직 같은 기업정보시스템의 특징이 조직의 경영성과에 어떻게 그리고 어떤 요인들이 영향을 미치는지에 대한 연구는 아직 미비한 실정이다. 그래서 본 연구는 정보화수준, 경영환경, 정보시스템의 성숙도와 하부구조가 경영성과(재무적 경영성과와 비재무적 경영성과)에 어떤 영향을 미치는지를 알아보고자 대만의 136개 기업을 대상으로 실증분석을 실시하였다. 설문지 표본의 응답자들은 각각의 기업 경영성과업무와 관련된 부서에 근무하고 있는 사람들을 대상으로 하였다. 본 연구에는 구조방정식모델을 사용하여 연구 가설들을 검증하였다.

• The Journal of Asian Finance, Economics and Business
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• 제6권4호
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• pp.27-35
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• 2019

The paper examines the level of disclosure on Islamic banks' performance in the United Arab Emirates (UAE). The data was collected through content analysis of annual reports and financial statements of all fully-fledged Islamic banks working in the UAE over the period 2009 to 2013. Return on Assets is used as a proxy for the performance of Islamic banks while disclosure index is used as a proxy for Islamic banks' disclosure. Also, predetermined variables are used in the study like Size, Deposits, Non-Performing Investments and Capital to Risk Weighted Assets Ratio. Two-Stage Least-Square regression method is used to check the interdependence relationships between disclosure and performance of Islamic banks in the UAE. The results show a significant relationship between performance and disclosure in the UAE Islamic banks. Our regression results show that Islamic banks with higher levels of disclosure lead to higher operating performance. Furthermore, the performance has a great impact on the level of disclosure which means Islamic banks with high performance measures will disclose more information for investors and other institutions in order to reduce the cost of equity and increase their values in the market. This study is considered as a battery for further studies in the relationship between disclosure and financial performance of Islamic banks at a global level.

• The Journal of Asian Finance, Economics and Business
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• 제7권9호
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• pp.39-49
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• 2020

This study empirically examines herd behavior for fast moving consumer goods (FMCG) sector stocks under varied market return conditions and the period during the global financial crisis and its aftermath. We examine the sample of stocks trading on the Nifty FMCG Index of the Indian equity market from January 2008 up to December 2018 using the dispersion measure of cross sectional absolute deviation and examine its relationship with the market return to explore herd phenomenon. Quantile regression estimate is used and the results of the study validate rational asset pricing models as the sector does not display herding. In contrast, anti-herd behavior at lower and median quantile values is observed. A possible reason can be the non-cyclical nature of the industry where investors rely more on the fundamentals rather than crowd chasing. We also findthe absence of herd phenomenon during the market asymmetries of bull and bear phases, extreme movements, the period of the global financial crisis, and afterward. We further examine herding under the impact of the information technology (IT) industry and conclude that significant return movements in IT sector impact dispersions in the FMCG industry. Also, there is a co-varying risk between the two sectors confirming the spillover in an integrated market.

• 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.