• Journal of Korean Society of Water and Wastewater
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• v.24 no.6
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• pp.743-751
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• 2010

It requires an interim performance assessment for BTL business of the sewerage rehabilitation which continues from 2005 till now. Means, It is necessary to make an interim performance assessment and an analysis of an business effect of the sewerage rehabilitation BTL projects which still continues, and we presented an improvement method of the new sewerage rehabilitation project in future. This paper has conducted an analysis of the business effect for 3 local government BTL projects which are completed and under operation as of now in Jincheon-Gun, Cheongju-Si and Gangjin-Gun. As a method of business effect analysis, we conducted a business effect of the 3 places using the index set which we previously set for the business effect analysis. The index set in this research was sectionalized to an improvement effect of operating wastewater treatment plant, an benefit effect of the direct cost, an benefit effect of the indirect cost and an environment friendly effect. We, in this paper, conducted an business effect analysis for 3 sewerage rehabilitation BTL projects which are completed or under operation recently as a demonstration, however we judge that an business effect analysis shall be conducted in a stage that a significant time for operation has passed since the completion of the construction in order to induce an actual business effect of the sewerage rehabilitation BTL project.

• Asian Journal of Business Environment
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• v.13 no.4
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• pp.1-6
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• 2023

Purpose: To explore the application prospect of support vector machine (SVM) in supply chain management and its practical application in supply chain performance evaluation practice. Research design, data and methodology: This paper establishes the performance evaluation index system of supply chain management according to the balanced scorecard (BSC) theory, and establishes the SVM model of supply chain management performance evaluation based on the SVM principle. Results: The performance evaluation results of the supply chain of an electric power equipment Co., Ltd. in Harbin established by using the model are consistent with the actual situation, which indicates the nature and accuracy of the possible reflection of the established supply chain performance evaluation model. Conclusions: The results show that SVM model can be used to evaluate enterprise supply chain management performance indicators, and can improve enterprise supply chain management performance, thus demonstrating the effectiveness of the model.

• IE interfaces
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• v.17 no.3
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• pp.338-348
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• 2004

OECD countries including Korea positively adopt performance-based budget systems which convert an input-centered system to an output-centered system to solve two baffling problems: public expense retrenchment and efficiency recovery of government management. Output management of IT project propelled in public sector becomes a prominent figure influenced by these keynote of policy. However, it is placed in difficult circumstances to develop a performance index and the methodology to cover characteristics of IT project, measuring the goal achievement of business and the customer contentment according to the phases of business progress. Existing studies of IT project accomplishment measurement have been fulfilled on the subject of business targeting on IT technology application, administrative information network business and national base of information network construction. Most of the studies have been executed using BSC or AHP to reflect synthetically business specifics of IT project from a methodological point of view. In this study, we propose a structural equation model (SEM) to develop a performance index which measures the outcome of IT project according to the phases of business progress, avoiding a simple presentation of project outcome or conceptual frame. The proposed SEM is applied to the survey results of "IT support project for Small and medium business". Based on the fitted model, we apply ACSI concept to develop an Information Technologization Success Index (ITSI). This index allows us comparison of several IT vendors as well as feedback information for further improvement.

• Journal of Arbitration Studies
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• v.32 no.1
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• pp.93-110
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• 2022

Korea, a resource-scarce country, has been undergoing export-led economic growth in the form of processing and intermediary trade for the past several decades. In Korea, which has an export-led economic structure centered on processing trade, the export economy precedes the domestic economy, so Korea's monthly export performance has been used as an important indicator of economic indicators in itself. In recent decades, small and medium-sized enterprises (SMEs), which account for 99% of the total number of domestic enterprises, account for about 35% of exports as of 2021. In this study, from the viewpoint of emphasizing the export contribution of SMEs, the Small and Medium-sized Enterprise Export Business Index is developed based on the actual export performance of SMEs, through which this paper could present alternative index differentiated from the existing Business Survey Indexes.

• Journal of Korean Society for Quality Management
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• v.51 no.3
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• pp.363-379
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• 2023

Purpose: The main objective of this research is to construct an AI-based Composite Supplementary Index (ACSI) model to achieve accurate predictions of the Composite Index of Business Indicators. By incorporating various economic indicators as independent variables, the ACSI model enables the prediction and analysis of both the leading index (CLI) and coincident index (CCI). Methods: This study proposes an AI-based Composite Supplementary Index (ACSI) model that leverages diverse economic indicators as independent variables to forecast leading and coincident economic indicators. To evaluate the model's performance, advanced machine learning techniques including MLP, RNN, LSTM, and GRU were employed. Furthermore, the study explores the potential of employing deep learning models to train the weights associated with the independent variables that constitute the composite supplementary index. Results: The experimental results demonstrate the superior accuracy of the proposed composite supple- mentary index model in predicting leading and coincident economic indicators. Consequently, this model proves to be highly effective in forecasting economic cycles. Conclusion: In conclusion, the developed AI-based Composite Supplementary Index (ACSI) model successfully predicts the Composite Index of Business Indicators. Apart from its utility in management, economics, and investment domains, this model serves as a valuable indicator supporting policy-making and decision-making processes related to the economy.

• Journal of the Korean Operations Research and Management Science Society
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• v.41 no.2
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• pp.17-33
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• 2016

Clustering is one of the leading methods to analyze big data and is used in many different fields. This study deals with Clustering Validity Index (CVI) to verify the effectiveness of clustering results. We compare the performance of CVIs with business applications of various field. In this study, the used CVIs for comparing performance are DU, CH, DB, SVDU, SVCH, and SVDB. The first three CVIs are well-known ones in the existing research and the last three CVIs are based on support vector data description. It has been verified with outstanding performance and qualified as the application ability of CVIs based on support vector data description.

• Journal of Korea Technology Innovation Society
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• v.8 no.3
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• pp.1175-1198
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• 2005

The objective of the study is to verify the relationship between technology valuation indexes and corporate's performance in ventures by business operating periods. The result of the study is expected to be useful in loan evaluation, investment decision, internal management decision making and business improvement. The results of study is as follows. First, in early stage ventures, we find that three major valuation index(technology feasibility, economic efficiency, productivity) are significant ex-ante variables which are discriminating between firms' going concern and firms' failure. Second, in growth stage ventures, we find that three major valuation index(business feasibility, general marketability, technology marketability) are significant ex-ante variables which are discriminating between firms' going concern and firms' failure. Third, in early stage ventures, we find that at least thirty-eight minor valuation index elements are significant ex-ante variables which are discriminating between firms' going concern and firms' failure and in growth stage ventures, thirty-one minor valuation index elements are significant in various analysis' results.

• 한국벤처창업학회:학술대회논문집
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• 2006.11a
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• pp.61-85
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• 2006

The Purpose of this study is to prove empirically the relationship between ventures' technology valuation and performance, while considering the uniqueness of Korean firms. We use technology valuation index, marketability valuation index, business valuation index as ex-ante independent variables, use firm's performance(sales, asset, operating income ratio, net income ratio etc) as ex-post dependent variables. Parametric analysis such as Paired T-test, ANOVA are applied in this paper. The results of Empirical analysis is summarized as follows. Firstly, operating income ratio and net income ratio are different in portfolios classified by technology valuation index. Secondly, the growth rate of operating income is different in portfolios classified by technology valuation index. Finally, this study has shown that technology valuation index has possibility which it use the predictive variables of ventures' performances.

• Proceedings of the Culinary Society of Korean Academy Conference
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• 2006.08a
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• pp.21-44
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• 2006

Measuring and evaluating the business performance plays a very important role in managing business. It is because business performance, in any types of industry, can be evaluated and managed properly only when the measurement of its performance is estimated, and because its performance can be improved through an efficient and effective management. Therefore it is essential to build up the performance evaluation system to raise management efficiency of the foodservice industry, to reinforce competitive power of the food service industry. This study tried to propose a novel point of prospective and method in which the performance evaluation in any family restaurant should be illuminated and be performed. In this study, BSC provided the main conceptional framework for evaluating the performance of a family restaurant, and evaluation items of BSC four prospectives - financial, customers, internal business process, and learning and growth-were adjusted so as to be fitted into the business field. Furthermore, this study verified the validity of the proposed performance evaluation method through specific case analyses and used AHP to quantify its validity objectively. Finally, this study found the fact that non-financial prospectives, compared to financial prospectives, should be more importantly considered as the performance evaluation index of the family restaurants. Especially, the study showed that the proportion of performance evaluation indexes related to Customers prospective and Learning and Growth prospective revealed very highly, therefore variables such as customer satisfaction index, per employee productivity, education and training, customer response rate, employee satisfaction index should be emphasized as key factors at the process of selecting indexes and measuring their performance evaluation of the food service industry.

• Journal of Technology Innovation
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• v.5 no.1
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• pp.15-43
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• 1997

This paper investigates empirically the relationship between various business portfolio properties (particularly technological properties) and chaebol's performance using data on the 50largest chaebols in Korea. In addition to the traditional indexes to measure diversification such as entropy index, we calculated inter-industry technological similarity using R'||'&'||'D expenditure data by industry and 1990 Input-output Table in korea, and obtained chaebol-level technological relatedness and internal transaction proportion from chaebols' business profile, inter-inustry technological similarity and 1990 input-output table. We applied factor analysis on 13 business portfolio property indexes and showed that they could be grouped into 3 dimensions. diversification scope, inter-business relatedness and degree of vertical integration. In this paper, using 50 largest chaebols' financial data (1989-1994), we analyzed empirically the effect of business portfolio properties on ROS(Return On Sales) which is conventional index for firm performance and on TFP(Total Factor Productivity) growth which is a pure measure of firm performance. To utilize the advantage of panel data, FEM(Fixed Effect Model) and REM(Random Effect Model) were used. The empirical result shows that the entropy index as a measurement of inter-business relatedness in not significant but technological relatedness index is significant. OLS estimates on pooled data were considerably different from FEM or REM estimates on panel data. By introducing interaction effect among the three variables for business portfolio properties, we obtained three findings. First, only VI(Vertical integration) has a significant positive correlation with ROS. Second, when using TFP growth as an dependent variable, both TR(Technological Relatedness) and VI are significant and positively related to the dependent variable. Third, the interaction term between TR and VI is significant and negatively affects TFP growth, meaning that TR and VI are substitutes. These results suggest strategic directions on restructuring business portfolio. As VI is increased, chaebols will get more profit. A higher level of either TR or VI will increase TFP growth rate, but increase in both TR and VI will have a negative effect on TFP growth. To summarize, certain business portfolio properties such as VI and TR can be considered "resources" themselves since they can affect profit rate and productivity growth. VI and TR have a synergy effect of change in profit rate and productivity growth. VI increases ROS and productivity growth, while TR increases productivity growth representing a technological synergy effect.t.