• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.1005-1015
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• 2020

This paper aims to propose a Comprehensive Decision Support Model to evaluate retail companies' financial performance traded on the Vietnam Stock Exchange Market. The financial performance has been examined in terms of the valuations ratios, profitability ratios, growth rates, liquidity ratios, efficiency ratios, and leverage ratios. The data of twelve companies from the first quarter to the fourth quarter of 2019 and the first quarter of 2020 were employed. The weights of 18 chosen financial ratios are calculated by using the Standard Deviation method (SD). Grey Relational Analysis technique was applied to obtain the final ranking of each company in each quarter. The results showed that leverage ratios have the most significant impact on the retail companies' financial performance and gives some long-term investment recommendations for stakeholders and indicated that the Taseco Air Services Joint Stock Company (AST), Mobile World Investment Corporation (MWG), and Cam Ranh International Airport Services Joint Stock Company (CIA) are three of the top efficient companies. The three of the worst companies are Viglacera Corporation (VGC), Saigon General Service Corporation (SVC), and HocMon Trade Joint Stock Company (HTC). Furthermore, this study suggests that the GRA model could be implemented effectively to ranking companies of other industries in the future research.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.28 no.2
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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 Information Systems
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• v.30 no.3
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• pp.93-112
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• 2021

Purpose Recently, many organizations are actively adopting enterprise architecture (EA) as a methodology to manage IT assets and build IT-based business system. This study intended to empirically examine how the role of EA operating unit and utilization capability of organizational members impact on system performance at the post-adoption stage. A balanced score card (BSC) is being used as a framework for a company's key performance indicator (KPI). Design/methodology/approach This study tried to investigate the causal relationship between the four perspectives of the balanced scorecard as an influencing factor of the introduction of the Enterprise Resource Planning (ERP) on the financial value. In particular, the mediating effect between the customer's point of view and the business process point of view was investigated between the learning growth point of view and the financial point of view, and the interaction effect (regulating effect) of strategic linkage in the system introduction process was investigated. Findings The results of the study were first, that the organizational learning and growth perspective had a positive effect on the customer perspective, business process, and financial perspective. In addition, the customer perspective and the process perspective also had a positive influence on the financial perspective. Second, between the learning growth and financial perspectives, the customer perspective and the process perspective showed a partial mediating effect. Third, as for strategic linkage, the interaction effect between the customer perspective, the learning growth perspective, and the process perspective and the financial perspective was not significant. The results of this study are expected to provide a framework for performance evaluation to organizations that have introduced ERP systems.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.27-34
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• 2002

Utilizing information and knowledge is one of the major objectives in the management of construction firm. This trend has been developed both inside of the firms and overall industry-wise. Therefore conventional methods of performance evaluation based on the financial statements such as balance sheet under GAAP(Generally Accepted Accounting Principles) are not sufficient to cover various Performance of constriction firms. Core competency of construction firms needs to be evaluated by the new performance evaluation model. In this research, the concept of BSC (Balanced Score Cards) is utilized to develop the performance evaluation model for construction firms considering four major performance indicators including financial perspective, customer perspective, learn and growth perspective, anti internal business perspective. A model of performance evaluation including criteria is proposed to evaluate construction firms based on their vision and strategy.

• Journal of Distribution Science
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• v.13 no.10
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• pp.5-13
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• 2015

Purpose - This study aims to suggest appropriate policies and performance indicators for financial aid recipients. It analyzes the existing regular government policy funds support project, especially its propriety and reasonability. Research design, data, and methodology - When financial aid is effective, it should be able to predict small enterprise business results. Additionally, there should be an evaluation, checking before and after performance rates so that the rate of achievement and outcome can be measured. This study's contribution for small enterprises is in researching the best way to improve this support system. Results - The Small Enterprise and Market Service (SEMAS), currently designated as a support organization for implementing the government financial aid project, has assessment indicators. However, these focus mainly on quantitative indicators and survey results. Conclusions - In the future, there is some need to draw up measures, setting the right direction for developing policies for the small enterprise fund loans and improving the management of the plans. Eventually, this effort will dispel concerns about the present support policy, which is considered to be weakening small enterprises.

• Journal of Information Technology Services
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• v.6 no.1
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• pp.101-126
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• 2007

This study aims to construct the integrative performance evaluation model of informatization programs. In order to achieve the purpose of research, first of all, the three major theoretical paradigms (technical/functional, economic/financial, and interpretive/alternative paradigms) are comparatively analyzed concerning their philosophical and methodological perspectives. Also, a number of important studies and research model in the area of IS (Information Systems) evaluation are critically reviewed. And then actual problems and limitations on the process of implementing IS performance evaluation are sought through investigating domestic and foreign practices. Based upon theoretical and practical review of informatization evaluation and logical reasoning, the components of ideal performance evaluation scheme for informatization program are derived, and the integrative performance evaluation model which can comprehensively represent the relationship among the components is conceptually proposed. For researchers, this study provides the theoretical basis for reasonably deriving the performance variables of informatization programs and empirically validating the performance of managing informatization programs. And in real world, the results of this study are very likely to contribute to presenting the practical guideline for desirably implementing performance evaluation of informatization programs.

• Journal of Korean Society for Quality Management
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• v.48 no.1
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• pp.149-169
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• 2020

Purpose: This study analyzes the characteristics of the Quality Management performed by SMEs in the Defense Industry in supply chains and analyzes the effect of the continuous improvement activities based on cooperation. Especially, for Military Supplies, the suitability of products is usually decided by judging their conformity to the specification, and from this structural characteristic, this study would analyze the structural relationship of systematic improvement activities with Supply Chain Quality Management(SCQM) and Business Performance(BP). Methods: Continuous improvement activities(CI) have significance as the driver force for the promotion of Quality Management. Thus, this study analyzed the causal relationships from the perspective of the process among CI, SCQM and BP. For an analysis of the structural characteristics and causal relationships among the constituents, AMOS was used, and 297 companies in the Defense Industry were utilized as samples. Results: It turned out that CI had significant impacts on Management Infra(MGT_Infra), Process Management(PM), Human Resources Management(HRM) and Communication(COMU) and had an indirect impact on the enterprises' financial performance through the parameters of HRM and Communication. Meanwhile, it turned out that between CI and non-financial performance, there was a direct effect, and there was also an indirect effect through the variables of the Management Infra and Communication. Conclusion: It turned out that CI had a positive effect on SCQM as a proactive driver and that they had significant relationships with BP(financial, Non-financial), both financial performance and non-financial performance. However, PM did not have a significant relationship of effect with BP because of the character appearing by the evaluation method of military supplies for the conformity to the specifications.

• Journal of Technology Innovation
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• v.14 no.3
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• pp.117-154
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• 2006

This research examines performance evaluatees' opinions regarding the current institutional performance evaluation systems of Government S&T Research Institutes (GRIs). Under the current evaluation systems, twenty GRIs are grouped into three Research Groups and each Group has its own evaluation systems. One problem of the current institutional evaluation systems is that the systems cannot reflect individual GRIs' characteristics. The following methods are used. First, based on four perspectives of Kaplan & Norton(1992)'s Balanced Scorecard(BSC) model, six perspectives appropriate to GRUs' characteristics are derived. Second, experts classify current performance evaluation measures into the six perspectives. This enables different evaluation systems of three GRI Research Groups to be compared under the same evaluation measures. Third, GRIs' evaluatees are asked to allocate appropriate weights on the performance measures. Evaluatees' weights of a GRI are compared with average weights of the related Group. Finally in every BSC's perspective, GRIs that have extraordinarily over-scored or under-scored weights are analyzed in terms of GRIs' missions, customers, capability of human resources, etc. In the Basic Research Group, the Korea Basic Science Institute is deviated in the financial perspective and the strategic direction perspectives. In the Public Research Group, Korea Institute of Construction Technology is significantly different from other GRIs in three perspectives. Five out of eight GRIs in the Industrial Research Group, GRIs are significantly different each other in several perspectives. It could be concluded that the current institutional evaluation systems are least appropriate in measuring performance of the GRIs of the Industrial Research Group.

• Korean Management Science Review
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• v.21 no.2
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• pp.111-122
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• 2004

Measuring performance of corporate information system has become one of the core issues in that development of the information system requires substantial amount of investments and the system works as a crucial leverage to enhance competitive edge. Most of the previous researches for performance of the information system have narrow and limited focus on such as the effect of user satisfaction and productivity. This paper suggests a model to measures the comprehensive performance which is classified as user scope (user involvement and satisfaction), operational scope (task productivity, task innovation, customer satisfaction, management control) and efficiency scope (financial performance), and to represent the relationship among the scopes by the path analysis model. Followings are conclusions from statistical hypothesis test of the model: (i) user involvement through user satisfaction has positive effect on all the performances in the operational scope, (ii) task innovation and customer satisfaction in the operational scope has statistically significant impact on financial performance but task productivity and management control do not. This conclusion indicates that task productivity and management control has the long term effect in nature, and evaluation of the information system has managerial implication when it Is measured in comprehensive performance which includes internal operational performances as well as financial performance.

• Journal of the Korea Safety Management & Science
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• v.10 no.2
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• pp.71-83
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• 2008

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, in this study we present a medium sized corporate credit rating system by using Artificial Neural Network(ANN) and Analytical Hierarchy Process(AHP). Also, we developed AHP model for credit rating using non-financial information. For the purpose of completed credit rating model, we integrated the ANN and AHP model using both financial information and non-financial information. Finally, the credit ratings of each firm are assigned by the proposed method.