• 한국사이버테러정보전학회:학술대회논문집
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• 한국사이버테러정보전학회 2004년도 제1회 춘계학술발표대회
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• pp.141-144
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• 2004

The Common Criteria (CC) philosophy is to provide assurance based upon an evaluation of the IT product or system that is to be trusted. Evaluation has been the traditional means of providing assurance. It is essential that not only the customer' srequirements for software functionality should be satisfied but also the security requirements imposed on the software development should be effectively analyzed and implemented in contributing to the security objectives of customer's requirements. Unless suitable requirements are established at the start of the software development process, the resulting end product, however well engineered, may not meet the objectives of its anticipated consumers. By the security evaluation, customer can sure about the quality of the products or systems they will buy and operate. In this paper, we propose a selection guide for If products by showing relationship between security engineering and security evaluation and make help user and customer select appropriate products or system.

• 디지털융복합연구
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• 제15권6호
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• pp.189-196
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• 2017

본 연구의 목적은 소셜 미디어 데이터에 대한 감성평가를 활용하여 대형항공사와 저비용항공사 이용 고객의 만족도를 정량적으로 분석하는 것이다. 이를 위해 2008년에서 2016년까지 대형항공사와 저비용항공사가 언급된 총 77,591개의 트윗을 취합하고 항공사 선택 속성별로 분류하였으며, 고객만족도 분석을 위해 3명의 평가자가 감성 평가를 시행하도록 하였다. 분석결과, 최근 7년 간 고객 만족도는 저비용항공사가 대형항공사보다 통계적으로 유의하게(p<0.001) 높은 것으로 나타났으며, 대형, 저비용항공사 모두 고객만족도가 지속적으로 하락하고 있는 것으로 파악되었다. 또한, 항공사 선택 속성 중 예약과 항공기 운항과 관련된 고객만족도가 낮은 것으로 나타났으며, 대형항공사의 경우, 예약과 기내서비스, 마케팅 측면에서 만족도 저하가 최근 심화되고 있는 것으로 판단된다. 본 연구의 결과는 대형항공사와 저비용항공사의 전반적인 고객만족도 향상을 위한 정량적 데이터로 활용 가능할 것으로 기대된다.

• 품질경영학회지
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• 제47권1호
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• pp.97-108
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• 2019

Purpose: The purpose of this study is to propose a new Risk Priority Number(RPN) evaluation method which analyzes value of product functions by mining customer opinions in Social Network Service(SNS). Methods: A traditional RPN is measured by three evaluation standards (Severity, Occurrence, Detection) which are analyzed by manufacturing engineers and researchers. On the other hand, these standards are analyzed by customers' viewpoints through SNS opinion mining in this research. In order to extract customer feedbacks from textual data sets, the methodology in this paper implies natural language processing, hereby collecting product related data sets and analyzing the opinions automatically. An emotional polarity of an opinion indicates severity, while the number of negative opinion shows occurrence, and the entire number of customer opinion refers to detection. Results: The results of this study are as follows; As a result of the CRPN evaluation, it is confirmed that the features evaluated as risky are highly likely to be improved in the next series. Therefore, CRPN is an effective risk assessment model that reflects customer feedback. Conclusion: Reflecting customer feedback is a useful tool for risk assessment of the product as well as for developing new products and improving existing products.

• 한국경영과학회지
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• 제27권4호
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• pp.149-165
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• 2002

This study establishes key factors on ISM (Internet Shopping Mall) performance in Korea. The four factors are derived from the relevant literature and clarified the concept of ISM characteristics, customer characteristics, ISM evaluation level. and perceived risks by distinguishing between its components and determinants. ISM performance indicators were derived from the previous studios classifying by ISM attitude and ISM usage. We examine on the impact of ISM characteristics and customer characteristics on the ISM evaluation level, then its level and perceived risks on the ISM performance. Hypotheses on four factors of ISM performance were tested for 172 respondents. Results indicate that four factors may partially serve as key predictors on ISM performance. ISM characteristics and customer characteristics was found to be positively influenced on ISM evaluation level, and its level also positively affected on ISM performance while perceived risks negatively affected on ISM performance.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2001년도 하계학술대회 논문집 A
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• pp.267-269
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• 2001

This paper presents algorithms to evaluate reliability of distribution power system taking into consideration customer interruption cost. Customer interruption cost is considered as one of the valuable index to estimate reliability of the distribution power system from customer situation. Also, this paper estimate evaluation results regarding the reliability of distribution power system using a sample model system. Finally, evaluation results of unserved energy and system interruption cost based on customer interruption cost are shown in detail.

• 대한가정학회지
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• 제39권5호
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• pp.1-14
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• 2001

The purpose of this study was to develop a evaluation system of customer service department operation in business. Four sources including related literature, managers of 4 outstanding customer service departments, SOCAP, and 7 OCAP administrative members provided useful information in various ways. The finally suggested evaluation system is consisted of three parts; work to do, resources needed, and operation standards. It is the type of checklist, which business can utilize it to examine whether they are doing well or not in terms of customer service department operation.

• KIEE International Transactions on Power Engineering
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• 제3A권3호
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• pp.124-129
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• 2003

As the power industry moves towards open competition, there has been a call for methodology to evaluate power system reliability by using composite interruption cost. This paper presents algorithms to evaluate the interruption cost of distribution power systems by taking into consideration the failure source and the composite customer interruption cost. From the consumer's standpoint, the composite customer interruption cost is considered as the most valuable index to estimate the reliability of a power distribution system. This paper presents new algorithms that take into account the load by customer type and failure probability by distribution facilities while calculating the amount of unserved energy by customer type. Finally, evaluation results of unserved energy and system interruption cost based on composite customer interruption cost are shown in detail.

• 품질경영학회지
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• 제39권1호
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• pp.45-56
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• 2011

The purpose of this research is to find key factors to invigorate customer satisfaction management from TQM perspective. Consequently, the results show that CS leadership has an effect on team competency, CS evaluation and feedback, and customer information system positively. Team competency and CS evaluation and feedback take positive effects on improving activities for customer focus. Improving activities for customer focus takes positive effects on result of customer satisfaction significantly.

• KIEE International Transactions on Power Engineering
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• 제5A권3호
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• pp.286-292
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• 2005

As the power industry moves towards open competition, there has been a call for methodology to evaluate power system reliability by using composite interruption cost. This paper presents algorithms to evaluate the interruption cost of distribution power systems by taking into consideration the failure source and the composite customer interruption cost. From the consumer's standpoint, the composite customer interruption cost is considered as the most valuable index to estimate the reliability of a power distribution system. This paper presents new algorithms that consider the load by customer type and failure probability by distribution facilities while calculating the amount of unserved energy by customer type. Finally, evaluation results of unserved energy and system interruption cost based on composite customer interruption cost are shown in detail.

• Asia pacific journal of information systems
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• 제11권3호
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• pp.43-62
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• 2001

The purpose of this research is to develop a webcasting site evaluation model, to estimate the relative importance of factors affecting the performance of webcasting sites, and to derive the CSFs of the sites. Evaluation model consists of 6 first-level evaluation factors and 23 second-level evaluation factors. This study compares the evaluation scores of website with those of the customer satisfaction. We inspect seven hypotheses. Hypothesis)(H1) tests correlation of the evaluation scores of website and those of the customer satisfaction. Hypothesis2(H2)$\sim$Hypothesis7(H7) tests if 6 first-level factors(planning, program & form, design, technology, interface, content) have an impact on customer satisfaction. In order to test the hypotheses, correlation analysis and regression analysis are performed. As a result of empirical tests, all Hypotheses$(H1){\sim}H7)$ are accepted and its implications are discussed.