• Journal of Navigation and Port Research
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• v.30 no.4
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• pp.267-275
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• 2006

Due to the growth of container traffic and port competition, ports have increasingly been under pressure to improve their efficiency in port operation and port management for competitive edge. The purpose of this study is to compare the technical efficiency among major container terminals in China, Korea and Singapore using Data Envelopment Analysis (DEA). This paper analyses the returns-to-scale using the output orientation of VRS and CRS model. The benefits of this study examining the relative performance of container terminals will enable container terminal operating companies or port policy makers in those countries to identify current slacks and to set up a proper port management and operation plan to improve their productivity.

• Journal of Korean Society for Quality Management
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• v.47 no.1
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• pp.163-186
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• 2019

Purpose: The purpose of this study was to present a methodology for assessing the efficiency of supply chain quality management considering characteristics of defense industries to provide academic and policy implications for strengthening quality competitiveness of military supplies. Methods: Using the defense industry's empirical data, conduct an efficiency evaluation by utilizing a multi-stage DEA/Entropy Model for defense industries subject to the quality level survey of military goods manufacturers in 2017. Results: The results of this study are as follows; the first step of the multi-stage DEA model, Quality Management Performance Efficiency Analysis, shows that the CCR model and the BCC model are more efficient than the parent company. the second stage of the multi-stage DEA model showed that the CCR model was slightly more efficient than the parent company and the BCC model was more efficient than the parent.the overall efficiency value of the multistage DEA model, calculated by multipointing the efficiency value of the first stage by the second stage, was more efficient than the parent. Conclusion: The results of this study show that the efficiency of supply chian quality management performance and profitability in the defense industry can be analyzed for the first time using the multistage DEA/Entropy model to identify specific inefficiencies and support objective decision making.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.7
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• pp.231-237
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• 2022

Intellectual Capital, a valuable intangible organizational asset, is primarily linked to a company's financial performance and is divided into three categories: human, structural, and relational capital. This paper investigates the impact of intellectual capital on the financial performance of selected Pakistani companies in the Information and Communication sector, as this sector is heavily reliant on intellectual capital. The data for 11 firms was gathered from the State Bank's Financial Statements Analysis of Companies Listed on the Pakistan Stock Exchange from 2015 to 2020. Pulić's (2004) Value Added Intellectual Coefficient (VAICTM) has been used to assess a company's IC efficiency. VAIC^TM and its components, the efficiency of intellectual capital, and the efficiency of capital employed are calculated. Financial performance is measured through return on assets, return on capital employed, and asset turnover ratio. Multiple regression, fixed-effect, and random-effect Panel Data estimation are used in the empirical study. The findings suggest that intellectual capital efficiency has a large impact on major profitability metrics, but little effect on company productivity. It can be inferred from the results that the companies must invest in advanced technology, the latest machinery, and well-equipped offices to improve financial performance and productivity and gain a competitive advantage.

• Knowledge Management Research
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• v.15 no.2
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• pp.147-164
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• 2014

This paper investigated the efficiency of automobile firms by using several non-parametric approaches. First, using Data Envelopment Analysis (DEA), the paper has investigated the critical factors that determine the relative efficiency of management performance in automobile companies. Second, we examined how the firm size impact on the difference of this efficiency by using Kruskl-Wallis Test. Third, by using Mann-whitney test, we also investigated the difference of the efficiency accoss existence of technological innovation activity. Finally, the paper explored the relationship between technological innovation and management efficiency by using logistic regression model. The findings of this study provided practical information for inefficient automobile firms to find benchmarking firms and strategic position to improve their efficiency. The result also provided theoretical and methodological implications for those who explore factors affecting management efficiencies. Future research directions with the limitation of the study are discussed.

• Journal of Digital Convergence
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• v.19 no.12
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• pp.21-28
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• 2021

The purpose of this study is to analyze the efficiency of the policy direction to see if the government's purpose of relocating public institutions was achieved by analyzing the case of the Korea Housing Finance Corporation, which moved to Busan Metropolitan City in 2014. Based on the Korea Housing Finance Corporation's settlement management disclosure and public institution performance evaluation report from 2009 to 2019, efficiency was compared and analyzed using DEA analysis, work efficiency in management performance evaluation report, and financial ratio. The analysis results are as follows. First, in the case of DEA analysis, the difference in efficiency before and after fat transfer was not noticeable. Second, the efficiency analysis using the performance evaluation report and the financial ratio showed that the efficiency decreased after local relocation. Taken together, in the case of the Korea Housing Finance Corporation, efficiency decreased after local relocation, which can be attributed to sluggish business performance and inefficiency related to financial ratios. However, this study has limitations because it conducted an analysis on the Korea Housing Finance Corporation. To compensate for this, it is necessary to diversify the scope of research targeting all fund-managed quasi-governmental institutions in Korea. Nevertheless, this study is the first study to analyze before and after the relocation of fund-managed quasi-governmental institutions, and is expected to provide significant implications for future policies to be discussed.

• Asia pacific journal of information systems
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• v.12 no.3
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• pp.1-20
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• 2002

For the last decade, some leading groups of corporations in Korea have integrated and managed their Information Systems(IS) functions. Each group established a separate System Management(SM) company to manage the IS and tried to get a synergy effect from the integration. These attempts, however, were not initiated by any one company. Rather they were group efforts. Moreover, the previous measuring tools evaluated IS with the scope of technical performance or quantitative user satisfaction using an absolute scale. Obscure criteria were used in an attempt to present improvements in IS function which were qualitatively weak. This study evaluates whether integration has been efficient and successful. For this purpose, we evaluate the performance efficiency of IS functions with Data Envelopment Analysis(DEA) methodology. In comparison with prior methods, DEA presents the rate of relative efficiency, the efficiency frontier for improving inefficiency, the degree of improvement(slack), and the guideline to construct any benchmark(reference set). For our DEA evaluation, this study selected a leading group of 23 companies in Korea. Our experimental results are as follows. First, efficiency was rated low on average. It also demonstrates that the motivation of performance efficiency of IS functions is deficient. Second, the result of the test to find the existence of economy of scale and scope shows that the growth of an organization and industrial characteristics do not affect IS performance efficiency from the perspective of user satisfaction. Finally, the comparison with other evaluation approaches informs us that DEA can be a complementary evaluation method which supports other measuring tools.

• International conference on construction engineering and project management
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• 2013.01a
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• pp.628-633
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• 2013

Knowledge-based Service Industry is an industry that creates added value through the production, processing, and use of knowledge. Comparing to other service industries, it is innovation-oriented business endeavors having the characteristics that exert the great influences on other fields. Meanwhile, however, research efforts thereof are yet insignificant. In this study, we analyzed the innovation performance of architectural design office which creates knowledge services, having raised the necessity of innovation of the design office. The innovation performance were classified according to the extent of efficiency of the architectural design office making use of DEA-Tier analysis, and, for those architectural design offices that showed significant differences in efficiency, we presented the case studies of the firms that were substantial benchmarking targets from short, medium, and long-term perspectives.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.6
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• pp.105-114
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• 2022

With the help of this study, we aim to investigate the influence of Financial Distress (FD) and information and communication technology (ICT) on the operating performance and efficiency of banks in the Indian banking sector. FD can be defined as a position in which a company or individual is not in a condition to fulfill their promise of paying their obligations on time. The term "financial distress" refers to a situation in which a corporation or individual is unable to keep their promise of paying their debts on time. In this work, panel data analysis (PDA) was used to analyze data from 33 Indian banks over ten years (2010 to 2019). According to the findings, FD has a positive and significant impact on bank operational performance and efficiency. The current study will give the banking industry a better understanding of how a bank's performance can be negatively impacted by distressing conditions that render it inefficient and ineffective. Second, it will show investors how the level of distress can have a significant impact on bank performance in the market, finally resulting in the loss of money invested.

• Nuclear Engineering and Technology
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• v.46 no.6
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• pp.737-752
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• 2014

As condition-based maintenance (CBM) has risen as a new trend, there has been an active movement to apply information technology for effective implementation of CBM in power plants. This motivation is widespread in operations and maintenance, including monitoring, diagnosis, prognosis, and decision-making on asset management. Thermal efficiency analysis in nuclear power plants (NPPs) is a longstanding concern being updated with new methodologies in an advanced IT environment. It is also a prominent way to differentiate competitiveness in terms of operations and maintenance costs. Although thermal performance tests implemented using industrial codes and standards can provide officially trustworthy results, they are essentially resource-consuming and maybe even a hind-sighted technique rather than a foresighted one, considering their periodicity. Therefore, if more accurate performance monitoring can be achieved using advanced data analysis techniques, we can expect more optimized operations and maintenance. This paper proposes a framework and describes associated methodologies for in-situ thermal performance analysis, which differs from conventional performance monitoring. The methodologies are effective for monitoring, diagnosis, and prognosis in pursuit of CBM. Our enabling techniques cover the intelligent removal of random and systematic errors, deviation detection between a best condition and a currently measured condition, degradation diagnosis using a structured knowledge base, and prognosis for decision-making about maintenance tasks. We also discuss how our new methods can be incorporated with existing performance tests. We provide guidance and directions for developers and end-users interested in in-situ thermal performance management, particularly in NPPs with large steam turbines.

• Knowledge Management Research
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• v.6 no.2
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• pp.91-108
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• 2005

In recent years, organizations have chosen a team-organization as a standard activity level and it leads a significant change in process of knowledge producing. Nevertheless team-organization for building up effective performance and a good communication in organization has influenced knowledge management performance, the empirical analysis and survey have not proved yet. This study, therefore, makes an analysis that the change of organization base on team activity influences knowledge management performance. This study, based on 312 data by using LISREL as a model for studying, provides a result that a team-based activity positively influences knowledge management efficiency.