• Management & Information Systems Review
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• v.34 no.5
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• pp.71-92
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• 2015

This study analyzes the impact of Corporate Social Responsibility (CSR) activities on financial performances using Bayesian Network. The research tries to overcome the issues of the uniform assumption of a linear function between financial performance and CSR activities in multiple regression analysis widely used in previous studies. It is required to infer a causal relationship between activities of CSR which have an impact on the financial performances. Identifying the relationship would empower the firms to improve their financial performance by informing the decision makers about the different CSR activities that influence the financial performance of the firms. This research proposes General Bayesian Network (GBN) and presents Markov Blanket induced from GBN. It is empirically demonstrated that all the proposals presented in this study are statistically significant by the results of the research conducted by Korean Economic Justice Institute (KEJI) under Citizen's Coalition for Economic Justice (CCEJ) which investigated approximately 200 companies in Korea based on Korean Economic Justice Institute Index (KEJI index) from 2005 to 2011. The Bayesian Network to effectively infer the properties affecting financial performances through the probabilistic causal relationship. Moreover, I found that there is a causal relationship among CSR activities variable; that is Environment protection is related to Customer protection, Employee satisfaction, and firm size; Soundness is related to Total CSR Evaluation Score, Debt-Assets Ratio. Though the what-if analysis, I suggest to the sensitive factor among the explanatory variables.

• KIEAE Journal
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• v.14 no.3
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• pp.79-86
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• 2014

Studies have shown that the thermal performance of buildings changes depending on the year of construction completion. It leads to increased energy consumption of buildings and significant financial burden on users. Thus, this study has calculated the thermal insulation performance of 86 apartments quantitatively, using temperature difference ratio and sensible heat flux. Also, energy consumption characteristics depending on the year of construction completion and thermal insulation performance were analyzed by comparatively analyzing the results of insulation performance evaluation and heating costs. The analysis results are as follows. As for thermal insulation performance, it was around 70% lower in the apartments completed before 1985, compared to apartments completed after 2010. As for heating costs, the apartments with the highest heating cost incurred 1.5 higher heating cost than the apartment with the lowest heating cost. In terms of the insulation performance evaluation, the difference was 2.5-fold.

• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.751-756
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• 2024

The accuracy of the model and the explanation of the results are important factors that should be considered simultaneously Recently, applications of explainable artificial intelligence are increasing, and it is especially widely applied in the financial field where interpretation of results is important. In this paper, we compare the performance of open API credit evaluation data using various machine learning techniques. In addition, existing financial logic is verified through explainable artificial intelligence technologies, SHAP and LIME. Accordingly, it is expected to demonstrate the applicability of machine learning in the financial market.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.7 no.1
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• pp.19-26
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• 2012

This study is aimed to measure the cause and effect relationship on observation on KS evaluation by surveys related to KS certification, opinions and satisfaction on KS certification, expected effect through KS certification, profitability performance, financial performance, and productivity performance based on department heads and acting chiefs working on KS certification, to SMEs which have acquired KS certification mark in Korea. This study also aims to examine how KS certification is impacting on companies' expected effects, management performance and development by examining the realistic effects of KS certification in various aspects and expected effects on companies.

• Asia pacific journal of information systems
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• v.16 no.3
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• pp.177-192
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• 2006

Following the idea of "what you measure is what you get," this paper discusses the necessity to improve the plan and management of Application Service Provider (ASP) service based on performance evaluation. The Balanced Scorecard (BSC) has been used as a tool for suggesting the measures that can evaluate performance of a company by considering both financial and non-financial perspectives. The current BSC does not provide techniques to formally define, verify, implement and analyze the performance measures of ASP. Therefore, we developed a methodology for strategy development of ASP service by analyzing the BSC performance measures. This methodology provides a strategy for improving ASP service. The methodology proposed in this paper provide executives with core parts for achieving vision as well as the corresponding interpretation model for developing strategy. The methodology consists of the following two phases: BSC and Importance-Performance Analysis (IPA) phase. The methodology is illustrated through a case study in each phase. The case study shows practical deployment of our methodology.

• The Journal of Information Systems
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• v.16 no.3
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• pp.1-20
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• 2007

Most researches on the corporate credit rating are generally classified into the area of bankruptcy prediction and bond rating. The studies on bankruptcy prediction have focused on improving the performance in binary classification problem, since the criterion variable is categorical, bankrupt or non-bankrupt. The other studies on bond rating have predicted the credit ratings, which was already evaluated by bond rating experts. The financial institute, however, should perform effective loan evaluation and risk management by employing the corporate credit rating model, which is able to determine the credit of corporations. Therefore, this study presents a corporate credit rating method using business failure probability map(BFPM) and AHP(Analytic Hierarchy Process). The BFPM enables us to rate the credit of corporations according to business failure probability and data distribution or frequency on each credit rating level. Also, we developed AHP model for credit rating using non-financial information. For the purpose of completed credit rating model, we integrated the BFPM and the AHP model using both financial and non-financial information. Finally, the credit ratings of each firm are assigned by our proposed method. This method will be helpful for the loan evaluators of financial institutes to decide more objective and effective credit ratings.

• Journal of the Korean Operations Research and Management Science Society
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• v.26 no.1
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• pp.109-116
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• 2001

The detection of corporate failures is a subject that has been particularly amenable to cross-sectional financial ratio analysis. In most of firms, however, the financial data are available over past years. Because of this, a model utilizing these longitudinal data could provide useful information on the prediction of bankruptcy. To correctly reflect the longitudinal and firm-specific data, the generalized linear model with assuming the first order AR(autoregressive) process is proposed. The method is motivated by the clinical research that several characteristics are measured repeatedly from individual over the time. The model is compared with several other predictive models to evaluate the performance. By using the financial data from manufacturing corporations in the Korea Stock Exchange (KSE) list, we will discuss some experiences learned from the procedure of sampling scheme, variable transformation, imputation, variable selection, and model evaluation. Finally, implications of the model with repeated measurement and future direction of research will be discussed.

• The Korean Journal of Applied Statistics
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• v.21 no.5
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• pp.717-726
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• 2008

The purpose of this paper is to assess the financial strength of general insurers by using A.M. Best's rating technique focusing on quantitative standards. A quantitative evaluation of fifteen larger general insurers' financial strength and operating performance relative to the Best's top group is carried out. The quantitative evaluation is done in 5 key areas; growth, efficiency, profitability, safety and liquidity. The results show that there is a big gap between domestic large insurers and American insures in all areas except stable growth of operations. Therefore, domestic insurers have to strive to strengthen financial soundness through profitability and should increase the capacity to retain more commercial business and reinsurance in order to become global players.

• Journal of Korea Society of Industrial Information Systems
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• v.21 no.6
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• pp.125-135
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• 2016

It is well known that the encouraging startups play a major role for innovation in an economy. Thus, venture capital are indispensable for the growth of startups. The literature on investment performance of venture capital reveals that the investment strategies depend largely on the characteristics and capabilities of venture capital. Therefore, investment capability of venture capital is important. There are various investing roles that can be identified by venture capital when determining what kind of startup to invest in, whom to invest with, how to invest, how to post-investment management after investment, and so on. This research was conducted to understand the effect of investment capabilities of venture capital on investment performance. To do so, we surveyed 70 venture businesses in the Seoul and Gyeonggido region for an empirical analysis. The empirical results of this paper are summarized as follows. First, the financial performance of venture firms is influenced by the financial capacity of venture capitalists, and investment evaluation of venture capital. Second, the business performance of venture firms is influenced by the marketing support consulting of venture capital, and investment evaluation of venture capital.

• Korean Business Review
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• v.20 no.2
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• pp.47-60
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• 2007

The purpose of this study is to investigate the beyond budgeting model at Borealis Group. This company have succeed in beyond budgeting by rolling financial forecasts, balanced scorecard, Activity-based costing, and decentralized investment management. As study finding of this paper, proposed following items to domestic enterprises. The first, improvement of plan function of budgeting by rolling financial forecasts. the second, strategy and budget more than strong link by balanced scorecard. the third resource's strategic arrangement and efficient use. the fourth competitive advantage strategies associated with relative performance evaluation, the fifth, compensation public ownership by relative performance.