• Proceedings of the Korean Society for Quality Management Conference
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• 2010.04a
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• pp.171-176
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• 2010

본 연구는 지금까지의 어떤 쇼핑몰 평가 시스템보다 쇼핑몰의 다양하고도 상호 유기적인 메커니즘을 조화롭게 평가할 수 있도록 하기 위해 경영품질의 공인된 세계 기준이자 많은 기업들에게 가장 신뢰할 수 있는 자기평가 기준이며 또한 시스템 경영의 교과서 역할을 하고 있는 말콤볼드리지 국가 품질상의 평가기준을 쇼핑몰에 도입하여, 리더십, 전략기획, 고객 및 시장, 정보와 분석, 인적자원, 프로세스의 여섯 가지 관점에서 쇼핑몰의 현황을 파악하고, 이를 측정하여 일곱 번째 관점인 최종 사업성과에 어떠한 영향을 미치는지를 분석함으로써, 웹사이트 성공에 영향을 미치는 정량적인 요소들과 정성적인 요인들에 대한 포괄적인 접근을 통해 쇼핑몰 사이트를 평가하고 분석하기 위한 종합적인 모형을 제시 하였다.

• Journal of Korea Technology Innovation Society
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• v.20 no.2
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• pp.292-312
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• 2017

The purposes of this research are to verify: first, if the technology appraisal model reflects the company's management performance and the rates of bankruptcy and overdue; second, if the existing classification system of technology levels is suitable; and third, which is the most important appraisal factor that defines the classification system of technology levels. As a result of the analysis, financial performance (stability) and non-financial performance (technology environment) proved to be significant variables in explaining technology ratings. According to the verification of the suitability of classification system, it appeared that there is a significant difference in all appraisal items of all groups. The result of neural networks model verification indicates that the most important variable was the R&D capacity, the second variables which determine the suitability of technology financing were indicators related to the company management. The second variables which determine a company's technological excellence were a company's technological base. To summarize, the technology appraisal model not only reflects both managerial performance and risks of a company, but also anticipates the future by converging the management competence and technological competitiveness into R&D capacity. This implies that if the 'forward-looking' technology appraisal model is integrated into the existing, credit rating model, the appraisal model may have positive impact on improving anticipation and stability.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.113-119
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• 2021

This study compared business performance and earnings quality before and after the COVID-19 pandemic for information and communication companies whose sales increased due to the impact of the COVID-19 pandemic. For this, 4 indicators of ROA, growth potential, liquidity, and stability are used for business performance, and for earnings quality, the standard deviation of the residuals measured by the Dechow and Dichev(2002) model and Francis et al.(2005) model was used. As a result of the analysis, ROA, a representative business performance indicator, increased after xthe period compared to the period before the pandemic, but liquidity was rather deteriorated. As for the quality of earnings, it was confirmed that earnings sustainability is maintained in the post-pandemic period compared to the previous period, similar to ROA. Overall, the profit level and earnings quality of information and communications companies seemed to be improving, while liquidity was deteriorating. This confirms that companies that have overcome the immediate crisis are not ready to pay off their debts right away. Therefore, it suggests that companies need restructuring to reduce their increased debt from the time the COVID-19 subsides.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.05a
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• pp.169-173
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• 2003

고객만족도는 고객의 충성도, 이탈률, 재구매율, 신규고객창출 등과 밀접한 관계를 맺고 있으며, 기업성과측정모형인 BSC(Balanced Scorecard)의 4가지 평가관점 중에도 고객관점이 포함되어있다. 이처럼 중요한 의미를 갖는 고객만족도의 기존 모형들은 일반적인 평가모형으로 업종별 차별성인 없고, 새롭게 등장한 모바일 서비스의 특성을 반영한 고객만족도 평가를 수행하기에 한계가 있다. 본 연구는 기존의 모바일 서비스 관련 연구와 고객만족도 평가 관련 연구들을 고찰하고, 이를 바탕으로 모바일 서비스 분류체계와 모바일 서비스에 특화된 고객만족도 평가체계를 제시한다.

• Journal of Korea Port Economic Association
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• v.34 no.3
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• pp.159-182
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• 2018

The purpose of this study is to increase the competitiveness of big data in the maritime port organization, by understanding the expected performance and the intention to accept and use big data. In the empirical analysis of factors affecting the intention to use the big data technology for maritime port organizations, the variables employed are based on the Technology Organization Environment(TOE) and Diffusion of Innovations(DOI) theories, which are related to the acceptance of information and communication technologies. To achieve the objective of this study, an empirical analysis was conducted; this analysis targeted the personnel involved in the department of strategic planning and information technology in the related field. We set up eight hypotheses to examine the relevance between variables having three characteristics-technology, organization, and environmental characteristics. The empirical results are summarized as follows. First, it was seen that the technology characteristic, including relative advantage, complexity, and compatibility, has a significant effect on the expected performance. Second, the top management support of the organization characteristic has a significant effect, but the firm size of this characteristic has no significant effect on the expected performance. Third, the competitive pressure of the environment characteristic has a positive effect on the expected performance, while the regulatory support has no significant effect. Finally, the expected performance has a significant effect on the intention to use big data.

• Information Systems Review
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• v.24 no.1
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• pp.39-57
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• 2022

This paper proposes the GMOPTBoost algorithm to improve the performance of the AdaBoost algorithm for bankruptcy prediction in which class imbalance problem is inherent. AdaBoost algorithm has the advantage of providing a robust learning opportunity for misclassified samples. However, there is a limitation in addressing class imbalance problem because the concept of arithmetic mean accuracy is embedded in AdaBoost algorithm. GMOPTBoost can optimize the geometric mean accuracy and effectively solve the category imbalance problem by applying Gaussian gradient descent. The samples are constructed according to the following two phases. First, five class imbalance datasets are constructed to verify the effect of the class imbalance problem on the performance of the prediction model and the performance improvement effect of GMOPTBoost. Second, class balanced data are constituted through data sampling techniques to verify the performance improvement effect of GMOPTBoost. The main results of 30 times of cross-validation analyzes are as follows. First, the class imbalance problem degrades the performance of ensembles. Second, GMOPTBoost contributes to performance improvements of AdaBoost ensembles trained on imbalanced datasets. Third, Data sampling techniques have a positive impact on performance improvement. Finally, GMOPTBoost contributes to significant performance improvement of AdaBoost ensembles trained on balanced datasets.

• 한국경영정보학회:학술대회논문집
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• 2007.11a
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• pp.300-305
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• 2007

재무성과와 지식자산을 함께 관리할 수 있는 통합적 성과평가 방법을 도입함으로써 미래 기업가치를 제고시킬 수 있는 필요성이 증가하고 있다. 국제적인 추세에 발맞추어 본 연구의 목적은 지식자산 평가에 대한 기존 연구와 Kaplan & Norton이 주창(1992)한 균형잡힌 성과기록표(Balanced Score Card : BSC)를 이용하여 지식자산 평가 지표 개발과 이러한 평가를 위해 Saaty가 개발한(1980) 계층적 분석과정(Analytic Hierarchy Process : AHP)방법론을 적용한 평가모델을 제시하고, 국내 A은행을 대상으로 지점을 평가하는 연구를 수행하였다.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.05a
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• pp.60-63
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• 2004

본 논문은 ERP 시스템 구축 과정에서 구축 단계별 주요 성공 요인들이 구축과정에서 상호간에 미치는 영향과 구현 성과에 미치는 영향을 분석하는 체계를 도출하기 위한 탐색적인 연구이다. 기본 연구모형은 ERP시스템 구축단계를 사전 준비단계, 구현 단계, 정착 안정화 단계의 3단계로 나누고, 각 구축단계별 주요 성공요인을 정리하고 구현 과정에서 미치는 상호 영향과 구현 성과에 미치는 영향을 탐색하였다. 연구 방법은 한 기업의 심도있는 사례 연구를 통해 이루어졌다.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.05a
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• pp.940-947
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• 2003

은행의 지점을 하나의 책임중심점 (Responsibility center)으로 볼 때 원가중심점. 수익중심점, 이익중심점 및 투자중심점 등 네 가지 형태중의 하나로 구분 할 수 있다. 본 연구에서는 은행의 지점을 여러가지 투입물을 이용하여 여러가지의 다양한 산출물들을 생산 및 판매하는 이익중심점(Profit Center)으로 보기로 한다. 그리고 이익중심점으로서 은행의 지점을 평가하는 경우 기간이익이라는 종합적인 성과 측정치가 있으나 기간이익은 그 성과가 경쟁가격의 변화에 따른 것인지 업무의 효율에 의만 것인지 구별하기가 어렵다 그래서 본 연구에서는 장기적인 효과를 가지는 생산성. 즉 생산과정에 중점을 두고 평가하고자 한다.

• 재활복지
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• v.20 no.1
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• pp.151-170
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• 2016

The purpose of the research is to suggest the method to maximize management achievement of the sheltered workshops with analyzing the factors of organizational competencies which affect the business performance. The study was proceeded after suggesting the research model based on discussion on the business performance of Malcolm Baldrige (1987) model which assessed as the most optimized one for evaluation of the business performance of enterprise. First, the organizational competence of the sheltered workshop impact on commercial performance and noncommercial performance meaningfully. The commercial performance affects marketing competence, administrative competence, financial competence in order of mention, and noncommercial performance affects workshop cultural competence, financial competence, leader competence, human resources competence in order of mention. Second, the organizational competence of the sheltered workshop affects comprehensive business performance including commercial and noncommercial, in order of marketing competence, workshop cultural competence, financial competence, and human resource competence.