• Journal of Korean Society for Quality Management
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• v.44 no.4
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• pp.785-798
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• 2016

Purpose: This paper developed the framework for extracting strategies of research and business development (R&BD) based on the data envelopment analysis(DEA). Methods: DEA has been widely utilized in evaluating R&D efficiency. Even though, technology transfer and commercialization has been regarded as the important factors for practical R&D efficiency evaluation, most research have evaluated R&D efficiency by just using the DEA outputs such as the number of patents and papers. The technology transfer, commercialization and relations among costs and generated technology and commercialization are needed to be considered for more practical R&D efficiency evaluation. Thus, this research addressed a method on how to incorporate the commercialization factors into the R&DB efficiency evaluation, and improve the efficiency strategically in terms of R&D and B&D. To achieve this, this research utilized a two-stage network DEA model for R&BD efficiency evaluation. Results: The proposed framework was applied to the 15 public research institutes and the 34 universities for validation. R&BD efficiency for the 15 public research institutes and the 34 universities was evaluated, and the differentiated improvement strategies for the inefficient DMUs to improve their efficient were proposed. Conclusion: The R&BD efficiency would be effectively analyzed based on two-stage network DEA. It would be utilized for the effective strategy planning for cultivating R&BD.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.3
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• pp.7-17
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• 2017

Loan consultants assist clients with loan application processing and loan decisions. Their duties may include contacting people to ask if they want a loan, meeting with loan applicants and explaining different loan options. We studied the efficiency of service quality of loan consultants contracted to a bank in Korea. They do not work as a team, but do work independently. Since he/she is not an employee of the bank, the consultant is paid solely in proportion to how much he/she sell loans. In this study, a consultant is considered as a decision making unit (DMU) in the DEA (Data Envelopment Analysis) model. We use a principal component analysis-data envelopment analysis (PCA-DEA) model integrated with Shannon's Entropy to evaluate quality efficiency of the consultants. We adopt a three-stage process to calculate the efficiency of service quality of the consultants. In the first stage, we use PCA to obtain 6 synthetic indicators, including 4 input indicators and 2 output indicators, from survey results in which questionnaire items are constructed on the basis of SERVQUAL model. In the second stage, 3 DEA models allowing negative values are used to calculate the relative efficiency of each DMU. In the third stage, the weight of each result is calculated on the basis of Shannon's Entropy theory, and then we generate a comprehensive efficiency score using it. An example illustrates the proposed process of evaluating the relative quality efficiency of the loan consultants and how to use the efficiency to improve the service quality of the consultants.

• Journal of Information Technology Services
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• v.5 no.2
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• pp.1-23
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• 2006

An Empirical study was done for finding the e-service quality of public administration focused on customer relationship management(CRM). The e-service quality of public administration was categorized as system quality, information quality, service quality, and CRM after doing a literature review in e-service quality and public administration. The validity and reliability of a questionnaire were examined through factor analysis and regression analysis was done using the customer satisfaction and efficiency improvement of public administration as dependent variables and the 7 factor scores from the factor analysis as independent variables. The results show for that 6 factors are not only very important in explaining the customer satisfaction but also partially important for efficiency improvement of public administration. In particular, CRM has significant effect on both customer satisfaction and efficiency improvement of public administration.

• Journal of Korea Multimedia Society
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• v.23 no.2
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• pp.317-327
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• 2020

R&D(Research and Development) efficiency analysis is a very important issue in academia and industry. Although many studies have been conducted to analyze R&D(Research and Development) efficiency since the past, studies that analyzed R&D(Research and Development) efficiency considering both patentability and patent quality efficiency according to the financial performance of a company do not seem to have been actively conducted. In this study, measuring the patent application and patent quality efficiency according to financial performance, patent quality efficiency according to patent application were applied to corporate groups related to artificial intelligence hardware technology defined as GPU(Graphics Processing Unit), FPGA(Field Programmable Gate Array), ASIC(Application Specific Integrated Circuit) and Neuromorphic. We analyze the efficiency empirically and use Data Envelopment Analysis as a measure of efficiency. This study examines which companies group has high R&D(Research and Development) efficiency about artificial intelligence hardware technology.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.5
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• pp.60-68
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• 2020

Owing to the complexity and modernization of weapon systems, the role of the defense industry in producing military companies has become increasingly important. In the past defense industries, price competitiveness is a key factor in product choice. On the other hand, product quality is becoming increasingly important compared to price competitiveness. In particular, improving the quality efficiency of small and medium defense suppliers is a necessary part of realizing completed weapon systems, and measures are required to evaluate the quality efficiency of small and medium defense suppliers objectively. This study measured the efficiency of quality using DEA, which is one of the decision methodologies. To use DEA, the number of employees (QA Team) and the number of improvement requirements (Through the activity of onsite quality-support team in aeronautical system center) were set as the input variables. In addition, the output variables were based on sales and the number of certification acquisitions (QMS). To analyze the quality efficiency of small and medium defense suppliers in the aeronautical field, both CCR and BCC models were analyzed, and the scale efficiency values were derived. Strategic development plans for small and medium defense suppliers can be guided using the research results.

• Journal of Korean Society for Quality Management
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• v.46 no.3
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• pp.707-716
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• 2018

Purpose: This study aims to analyze the management performance and production efficiency of strawberry farmers who introduced smart farming, one of the primary symbols of the fourth industrial revolution in the agricultural sector. Methods: We conducted an empirical survey of strawberry farms using smart farming and analyzed production efficiency using DEA method. Results: First, difficulties for strawberry farmers introducing smart farming included time and money spent on parts replacement and additional costs due to compatibility problems with existing facilities after the adoption. Second, strawberry farmers using smart farming increased their total income by producing higher yield and improving quality thanks to the competent growth management. Third, the analysis of production efficiencies before and after smart farming found improvement in technical efficiency, pure technical efficiency, and scale efficiency. But, the gaps in technical and scale efficiencies among the farms widened. Conclusion: Based on the results above, following policy suggestions are offered. First, an environment control technology suitable for strawberry farming needs to be developed. Second, the smart farming technology needs to be standardized by the government. Third, new smart farm models need to be developed to accommodate to the facilities and environment in Korea through collecting big data including high-quality data on the environment, growth, and yield. Fourth, continuing education needs to be provided to narrow the gap in smart farming technology among strawberry farmers.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.3
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• pp.355-364
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• 2022

The effect of technological innovation on the high-quality development of the producer services industry depends on whether or not technical innovation efficiency plays a key role. This study looks at the impact of technological innovation and financial technology (fintech) on the development of high-quality producer services in Fujian Province from 2010 to 2019. The efficiency of technological innovation is measured using Data Envelopment Analysis (DEA) and the Malmquist productivity index. The mean overall innovation efficiency score is 0.639, meaning that Fujian accounts for 36.1% of resource utilization inefficiencies and that there are significant differences in technological innovation efficiency between cities. The findings show that high-quality producer services industries benefited from innovation efficiency, but that the influence of technological innovation efficiency is insignificant. This demonstrates that financial innovation has not been able to completely enhance the development level of the producer services industry. This may be due to the unreasonable output structure of technological innovation and the low industrial transformation rate of technological achievements. This study advocates that the R&D fund allocation structure be optimized. That technological innovation can improve the high-quality development of the producer services industry is a consensus within the academic community.

• Proceedings of the Korean Society for Quality Management Conference
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• 1998.11a
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• pp.419-428
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• 1998

In this paper, we analyzed two methodologies to evaluate the total quality management activities comparatively. One of them is the traditional scoring system (TSS) by analytic hierarchy process (AHP) and the other is the efficiency measuring system (EMS) by data envelop analysis (DEA), It is demonstrated that the index by TSS and the efficiency index by EMS are not correlated. Also, the efficiency index by EMS in terms of company characteristics such as the size of company and ISO certifications is different from the index by TSS. The result implies that to evaluate the quality activities by EMS is needed as a supplementory methodology.

• Quality Improvement in Health Care
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• v.24 no.1
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• pp.30-39
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• 2018

Objectives: In Korea, there are many kinds of evaluations for medical institutions. However, evaluations are increasingly burdensome for medical institutions because evaluation agencies, evaluation timing, and evaluation methods are different. The purpose of this study is to improve the efficiency of evaluation for medical institutions and ultimately to provide quality medical services to patients. Methods: In this study, 2,310 indicators of 19 kinds of evaluation for medical institutions were analyzed. Results: 1,424 indicators were available for on-site surveys and 886 indicators were not available for on-site surveys. There were 4 kinds of evaluation that can be integrated in total, 12 kinds of evaluation that can be integrated partially, and 3 kinds of evaluation that need to maintain the current evaluation system. Conclusion: In order to provide patient-centered quality medical services through reduction of burden due to the evaluation for medical institutions, it is necessary to deeply discuss the efficiency of evaluation integration and result utilization.

• Journal of Korean Society for Quality Management
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• v.27 no.2
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• pp.47-56
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• 1999

In this paper, we analyzed two methodologies to evaluate the total quality management activities comparatively. One of them is the traditional scoring system (TSS) by analytic hierarchy process (AHP) and the other is the efficiency measuring system (EMS) by data envelop analysis (DEA). It is demonstrated that the index by TSS and the efficiency index by EMS are not correlated. Also, the efficiency index by EMS in terms of company characteristics such as the size of company and ISO certifications is different from the index by TSS. The result implies that to evaluate the quality activities by EMS is needed as a supplementary methodology.