• 산업경영시스템학회지
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• 제28권2호
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• pp.18-26
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• 2005

The balanced scorecard(BSC) overcomes the limit of traditional financial statement that focuses on only financial performance. BSC is widely used in government and industry because of the clear representation of the relationship and logic between the key performance indicators(KPI) of 4 perspectives - financial, customer, internal process, and loaming and growth. However, traditional BSC does not consider evaluating the difference between the results measured by BSC. By using relatively small number of inputs and outputs In comparing decision-making units, data envelopment analysis(DEA) can aggregate multiple performance measures. In this research, we propose a methodology named CDB(Combined DEA and BSC) to evaluate the performance of organization considering financial and non-financial perspectives. CDB uses KPI of cause-and-effect relationship on BSC as inputs and outputs of DEA method. In addition, this research proposes a method of converting the KPI of BSC to the input and output variables of DEA, and enhancing discrimination power using the limit number of variables. We illustrate the methodology by giving an example of evaluating aquisition-unit efficiency in a supply chain.

• The Journal of Asian Finance, Economics and Business
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• 제3권4호
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• pp.25-37
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• 2016

This study aims to investigate the determinants of dividend payout of Oil and Gas industry of Pakistan using secondary data from published annual reports from 2008 to 2014 listed on KSE (Karachi Stock Exchange). Dividend payout can be affected by profitability, firm size, financial leverage, sales growth, investment opportunities, liquidity, business risk, and ownership structure. Panel data technique used due to panel characteristics of available data with ordinary least square regression model to find out the impact of set of explanatory variables on the dividend payout using the Stata. Financial leverage, sales growth and business risks are the most significant variables of the study where financial leverage and business risk have significant negative effect on dividend payout while sales growth has favorable positive impact on dividend payout. Results revealed significant positive link of profitability and firm size with dividend payout whereas government ownership is negatively associated with dividend payout. Investment opportunities, liquidity and managerial ownership showed insignificant relationship with dividend payout. This Suggests that dividend payout policy is dependent on business strategies including both investment and financing decisions. Financial managers should consider these factors while formulating dividend policy of the firm.

• 산경연구논집
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• 제9권5호
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• pp.37-46
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• 2018

Purpose - This paper explores the determinants of bank lending to firms during and after the global financial crisis using firm- and bank-level data to answer the questions what caused the contraction of lending to firms despite the loosening monetary policy during this crisis period. Research design, data, and methodology - We investigate the effects of the monetary policy that followed the global financial crisis on firms borrowing. We use a dynamic panel model to address how firms lending respond to monetary policy. The data are obtained from CRETOP and we consider the manufacturing sector for the analysis to control for unobserved heterogeneity such as industry-specific shocks. Results - The findings from the empirical analysis suggest that both bank- and firm-level characteristics are significant determinants of bank lending. Especially, we find that corporate risk, measured by default risk, is one of the key factors that led to a decline in lending during the crisis. Conclusions - This paper shows that companies borrow more from liquid banks, and high bank capital can also contribute to an increase in a firm's borrowing from banks. Especially, the results confirm that the default rate measured at the firm level has increased during and after the global financial crisis, which implies that default risk interplays with other firm and bank-level characteristics.

• Asian Journal of Business Environment
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• 제8권2호
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• pp.5-13
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• 2018

Purpose - The aim of this study is to investigate the problems, challenges, opportunities and future prospects of Islamic banking and finance in the UK. However, this study brings forward into 3 main purposes. Firstly, to explore the development of financial institutions, products and regulatory reforms. Secondly, to find out the performance of Islamic banking institutions. Lastly, to identify the problems, challenges and Islamic banking future prospects. Research design, data, and methodology - An in-depth literature review was carried out to fulfil the research objectives. Results - The findings point out the basic problems of Islamic banking industry in UK such as unfavorable regulatory environment, unfamiliarity with the Islamic Banking System, lack of portfolio management, absence of liquidity instruments, in need of professional bankers, and blending of approach of Islamic scholars with the approach of the conventional bankers. The findings also indicate that there are greater opportunities in the UK for development and growth of Islamic financial system because Muslim community is eager to take financial products. Conclusions - It is hoped that issues pertaining to Islamic banking products can be resolved through consensus of Shariah scholars. There is need to educate the Muslim community about Islamic financial products and service.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2006년도 춘계학술대회
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• pp.294-300
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• 2006

This case study shows constructing the knowledge-based system using a rule-based approach for detecting transactions regarding money laundering in the Korea Financial Intelligence Unit (KoFIU). To better manage the explosive increment of low risk suspicious transactions reporting from financial institutions and to conjugate data converged into the KoFIU from various organizations, the adoption of a knowledge-based system is definitely required. We designed and constructed the knowledge-based system for anti-money laundering by committing experts of each specific financial industry co-worked with a knowledge engineer. The outcome of the knowledge base implementation shows that the knowledge-based system is filtering STRs in the primary analysis step efficiently and so has made great contribution to improve efficiency and effectiveness of the analysis process. It can be said that establishing the foundation of the knowledge base under the entire framework of the knowledge-based system for consideration of knowledge creation and management is indeed valuable.

• 환경정책연구
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• 제9권3호
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• pp.47-67
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• 2010

본고에서는 탄소생산성(환경경제효율)이 미래 저탄소사회에서 기업이 지속가능한 발전을 달성하기 위한 환경전략의 목표가 될 수 있는지를 확인하기 위해 탄소생산성과 기업의 재무성과 간에는 어떠한 관련성이 있는지를 실증적으로 분석하고자 하였다. 분석 결과를 요약하면 첫째 탄소생산성이 높은 기업일수록 재무성과가 향상되는 것으로 나타났다. 탄소생산성(환경효율) 개념을 수정 보완한 Factor-X지표도 재무성과에 유의한 양의 영향을 미치는 것을 보여주었다. 둘째 재무성과가 양호한 기업일수록 차기의 탄소생산성도 개선될 것이라는 가설도 지지되었다. 그러나 탄소생산성과 재무성과 간에 장기적 영향(효과)은 나타나지 않았다. 끝으로 산업특성(에너지다소비산업 여부)에 따라 탄소생산성과 재무성과의 관련성이 달라진다는 사실도 확인되었다.

• 대한산업공학회지
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• 제39권4호
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• pp.260-270
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• 2013

This paper proposes a strategic portfolio model for managing performance of online games. The portfolio matrix is composed of two dimensions: financial performance and non-financial performance. Financial performance is measured by the conventional measure, average revenue per user (ARPU). In terms of non-financial performance, five non-financial key performance indicators (KPIs) that have been widely used in the online game industry are utilized: RU (Register User), VU (Visiting User), TS (Time Spent), ACU (Average Current User), MCU (Maximum Current User). Data envelopment analysis (DEA) is then employed to produce a single performance measure aggregating the five KPIs. DEA is a linear programming model for measuring the relative efficiency of decision making unit (DMUs) with multiple inputs and outputs. This study employs DEA as a tool for multiple criteria decision making (MCDM), in particular, the pure output model without inputs. Combining the two types of performance produces the online game portfolio matrix with four quadrants: Dark Horse, Stop Loss, Jack Pot, Luxury Goods. A case study of 39 online games provided by company 'N' is provided. The proposed portfolio model is expected to be fruitfully used for strategic decision making of online game companies.

• 아태비즈니스연구
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• 제11권3호
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• pp.137-151
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• 2020

Purpose - The purpose of this study is to investigate whether financial analysts' cash flow forecasts mitigate the accrual anomaly. In addition, we examine whether the more accurate analysts' cash flow forecasts are the greater the decline of the accrual anomaly. Design/methodology/approach - Data used in the empirical tests are extracted through KIS-VALUE and FN-GUIDE, and the sample consists of firms listed on Korea Stock Exchange for 7 years from 2005 to 2011. We test the hypotheses using multiple regression analysis and we also estimate the regressions with the decile ranks of the explanatory variables to minimize the influence of outliers. Findings - We have failed to capture evidence that the provision of financial analysts' cash flow forecasts itself reduces the accrual anomaly. However, we find the accrual anomaly to be less severe when financial analysts provide more accurate cash flow forecasts. The findings are consistent in the regression models with the decile ranks as well as in the robustness tests that controlled the accruals quality. Research implications or Originality - This study contributes to the expansion of related studies in the Korea by providing empirical evidence partially that the financial analysts' cash flow forecasts mitigate the accrual anomaly.

• The Journal of Asian Finance, Economics and Business
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• 제8권4호
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• pp.93-104
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• 2021

In recent years, there has been a substantial theoretical and empirical study on the role that financial market development has significantly played in promoting economic growth and development in the world. The development of an economy requires the financial industry to be developed. In the context of rapid economic development, global warming has become a serious problem with issues such as rising average temperatures, climate change, rising sea level, and increasing carbon dioxide emissions. This study aims to examine the influence of economic growth, financial development, transportation capacity, and environmental degradation. Using time-series data from 1986 to 2019 and environmental degradation being measured by CO2 emissions, the study employs a quantity of ample unit root tests, the structural break unit root tests, Autoregressive Distributed Lag (ARDL), and cointegration bounds test. The results show that there is a significant long-term cointegration among study variables. Empirical findings also indicate that an increase in per capita GDP and financial development worsens environmental quality whereas transportation capacity and foreign investment can improve environmental quality.

• The Journal of Asian Finance, Economics and Business
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• 제8권4호
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• pp.819-826
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• 2021

This study aims to determine the impact of product consumption strategy and financial autonomy on the competitiveness of technology firms in Vietnam. This study employs panel data of 27 technology firms collected from listed financial statements of the business for the period (2010-2019). The study also uses some indicators reflecting the macroeconomic situation of the economy collected from the World Bank. Instead of Exploratory Factor Analysis which has been used before, the study uses the feasible generalized least squares (FGLS) estimation as the main method. The FGLS corrects the variance changes and autocorrelation on the dataset of these Vietnamese technology firms. The results reveal that the strategy of product consumption and financial autonomy positively affect the competitiveness of technology firms. These are also two core factors of the technology industry, which have a strong impact on the increase in the competitiveness of firms. The findings of this study suggest that technology firms do not need to invest in many long-term assets, but mainly in short-term assets in order to quickly respond to the strategies for consuming new technology products of the business. In addition, the increase in Gross Domestic Product per capita also positively affects the increase in the competitiveness of technology firms.