• 경영과학
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• 제26권3호
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• pp.79-100
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• 2009

Recently, most tech-based products are of multiple generations, since new-generation products are replacing the older ones as technologies continue to improve. Although, this means that research is needed to examine as much about the role of post-adoption behavior as the missing link between the adoptions of successive generation as first adoption of innovation, there is a dearth of literature explicitly examining consumers' post-adoption behavior, especially in the context of subscription-based service. For the subscription-based services, in spite of the important role of consumer satisfaction, research on the post-adoption behavior can not carefully examine the direct impact of consumer satisfaction on their decision to upgrade by considering usage instead of satisfaction as the missing link between buyers' first adoption and their next-generation adoption. This study identified two types of attribute satisfaction such as basic attribute and core attribute using both literature review and FGI (Focus Group Interview), and tries to investigate how two types of attribute satisfaction has influence on customers' intention to upgrade to the next-generation services. and a moderating role of customer loyalty between attribute satisfaction and intention. The empirical results show that core-attribute satisfaction has a negative influence on customers' intention to upgrade, due to the moderating role of customer loyalty, but it can raise their intention to upgrade next-generation services. However, basic-attribute satisfaction, on the other hand, appears to positively influence both customer loyalty and the intention to upgrade. We also find that the consumer attribute satisfaction is influenced by consumer innovativeness, her perception of service and the usage of each features' type in different ways. Finally, academic and practical implication is made, limitation is clarified and a direction for further studies is suggested.

• 한국전자통신학회논문지
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• 제10권6호
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• pp.683-690
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• 2015

러프집합에서 누락된 속성 값들은 Reduct와 Core 계산, 더 나아가서 결정 트리 구축에 있어서 식별 불능의 패턴 부합 문제를 가진다. 현재 누락된 속성 값들의 추정과 관련하여 보편적인 속성 값으로의 대체, 속성들의 모든 가능한 값 할당, 이벤트 포장 방법, C4.5, 특수한 LEM2 알고리즘과 같은 접근방식들이 적용되고 있다. 그렇지만, 이들 접근방식은 결국 전형적으로 자주 등장하는 속성 값 혹은 가장 보편적인 속성 값으로의 단순 대체를 나타내기 때문에, 주요 속성 값들이 누락된 경우에 정보 손실이 큰 의사 결정 규칙들이 유도되기 때문에 의사결정 규칙들의 교차 검증에서 문제가 된다. 본 연구에서는 이러한 문제점을 개선시키기 위해 속성들간에 엔트로피 변동을 활용하여 정보 이득이 높은 방향으로 누락된 속성 값들을 대체하는 방식을 제안한다. 제안된 접근방식에 관한 타당성 검토는 비교적 가까운 유사 관계에 의해 누락 값 대체 방식을 적용하는 ROSE 프로그램과의 비교를 나타낸다.

• 한국정보과학회논문지:소프트웨어및응용
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• 제33권3호
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• pp.277-288
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• 2006

프로덕트 라인 공학(Product Line Engineering, PLE)은 소프트웨어 재사용을 위한 새로운 접근 방법이고, 핵심자산은 인스턴시에이션(Instantiation)을 통하여 어플리케이션을 개발하기 위한 큰 재사용 단위이다. 따라서, 핵심자산은 PLE의 중요한 요소이므로 핵심자산의 재사용성은 PLE 프로젝트의 큰 성공을 결정한다. 핵심자산은 전체가 아니라 재사용 부품(Part)에 불과하며, 고정된 기능뿐만 아니라 가변적인 기능도 포함, 지원하고 있다. 그러나, 기존의 품질모델로는 이러한 특성을 가지고 있는 핵심자산을 평가하기에는 한계가 있다. 따라서, 본 논문에서는 이러한 문제점을 해결하기 위해 ISO/IEC 9126을 기반으로 하여 핵심자산의 재사용성을 평가하기 위한 체계적인 품질시스템을 제안한다. 핵심자산의 중요한 특징들을 식별하고 식별된 재사용성의 특징을 기반으로 품질속성(Quality Attribute)을 도출한다. 이렇게 정의된 품질속성을 이용하여 메트릭을 정의한다. 또한 제안된 메트릭을 이용하기 위한 지침 및 대여 프로덕트라인에서의 적용사례를 제시한다. 이러한 품질시스템을 이용하여 핵심자산의 재사용성을 보다 효과적이고 정확하게 평가한다.

• 한국지리정보학회지
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• 제27권1호
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• pp.29-40
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• 2024

최근 4차 산업혁명 핵심 중 하나인 자율주행의 기술이 발전하고 있지만 예상하지 못한 상황에서 사고가 발생하는 등 센서 기반 자율주행에 한계를 보이고 있어, 이를 보완하기 위해 정밀도로지도는 자율주행의 핵심 인프라로 활용되고 있으며, 공공 및 민간에서 관심이 높아지면서 정밀도로지도의 최신성과 정확성 확보를 위한 다양한 연구와 기술개발이 이루어지고 있다. 현재 국토지리정보원은 자율주행차의 운행이 많을 것으로 예상되는 수도권 등 전국 도심지역 및 주요도로를 대상으로 확대 구축 중이며, 기 구축된 구간 중 도로변화가 발생한 지역의 신속갱신 체계를 마련하고, 품질검증을 통해 데이터 오류율 최소화를 위해 노력하고 있다. 이에 본 연구는 국토지리정보원에서 구축 중인 정밀도로지도의 신속, 정확한 갱신과 제작을 위해 속성 구조화 공정에서 참조객체의 공간관계를 분석하고, 오픈소스 기반 PyQGIS의 라이브러리를 활용하여 공간관계가 성립되는 참조객체의 속성입력 자동화 방법론을 적용하여, 고속국도·일반국도·C-ITS(Cooperative Intelligent Transport Systems)실증구간 등 도로유형별로 대상지를 선정하여 자동화를 실시하였다. 본 연구에서 개발한 속성자동화 도구를 활용하여 공간관계 참조객체의 속성을 자동으로 입력하는데 대상지별 약2~5분의 시간이 소요되었으며, 참조객체 속성입력 자동화 결과 고속국도 86.4%, 일반국도 79.7%, C-ITS의 경우 82.4%, 평균 82.8%의 속성입력 정확도를 확보하였다.

• 한국식생활문화학회지
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• 제23권5호
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• pp.605-615
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• 2008

The principal objective of this study was to categorize service attributes on the basis of the asymmetric and non-linear relationship existing between service attributes and customer satisfaction. Researchers generally assume that service attribute performances and customer satisfaction are both symmetrical and linear. That is to say, improvements in attribute performance will inevitably result in increased customer satisfaction. However, this is not always the case. Certain attributes have been shown not to create satisfaction even when improved, and others do not create dissatisfaction even when their performance ratings become negative. Understanding this relationship is crucial not only to researchers, but also to service managers. Service managers can arrange their priorities with regard to which attributes must be improved or promoted first, in an environment of limited technical, financial, and human resources. Many studies into this asymmetric and non-linear relationship have recently been conducted, beginning with Herzberg's motivation-hygiene theory (1976) and the disconfirmation theory, which was eventually developed into Kano's model (1984). This study attempted to determine the impact level of service attributes on incidents of satisfaction or dissatisfaction. It used 30 service attributes generated by Park (2008) in the CIT research into family restaurants. The data were collected from 600 participants, 300 incidences of satisfaction and 300 incidents of dissatisfaction, via an online survey. The t-test was used to confirm the difference between the satisfaction group's and dissatisfaction group's attributes. 11 attributes were found to be significant at a level of p>0.05. This indicates that the 11 attributes exerted different impacts on satisfaction and dissatisfaction, which confirmed the asymmetric and non-linear relationship. 14 attributes were categorized into the core service, 1 attribute into the quality service, 7 attributes into the basic service, and 8 attributes into the neutral service. Strategic customer service management was recommended for the 'A' family restaurant as an example, on the basis of the asymmetric and non-linear relationship and the characteristics of the four service factors.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권7호
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• pp.3128-3149
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• 2018

A number of effective methods for multiple-attribute group decision making (MAGDM) with interval-valued intuitionistic fuzzy numbers (IVIFNs) have been proposed in recent years. However, the different methods frequently yield different, even sometimes contradictory, results for the same problem. In this paper a novel criterion to determine the advantages and disadvantages of different methods is proposed. First, the decision-making process is divided into three parts: translation of experts' preferences, aggregation of experts' opinions, and comparison of the alternatives. Experts' preferences aggregation is considered the core step, and the quality of the collective matrix is considered the most important evaluation index for the aggregation methods. Then, methods to calculate the similarity measure, correlation, correlation coefficient, and energy of the intuitionistic fuzzy matrices are proposed, which are employed to evaluate the collective matrix. Thus, the optimal method can be selected by comparing the collective matrices when all the methods yield different results. Finally, a novel approach for aggregating experts' preferences with IVIFN is presented. In this approach, experts' preferences are mapped as points into two-dimensional planes, with the plant growth simulation algorithm (PGSA) being employed to calculate the optimal rally points, which are inversely mapped to IVIFNs to establish the collective matrix. In the study, four different methods are used to address one example problem to illustrate the feasibility and effectiveness of the proposed approach.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 1998년도 추계학술대회 논문집
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• pp.166-170
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• 1998

Classification and Coding(C&C) systems as a core of design information management have been accomplished by many studies in terms of design and manufacturing attribute based on Group Technology. Those are very difficult to apply in make-to-order(MTO) manufacturing because the environment of MTO has various characteristics of product, many licensors, engineering change, insufficiency of integrated management system for codes and so on. This paper presents a suitable C&C system to MTO manufacturing which consider management level and drawing.

• 한국복합재료학회:학술대회논문집
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• 한국복합재료학회 2004년도 춘계학술발표대회 논문집
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• pp.59-62
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• 2004

According to the change of industry structure, design is the key element to accelerate enhance the value of railway industry as they core competence factors for productive and superiority its level. It is important utilizing materials to embody new train aesthetics and build high technologies. Consequently, apply properties of composite with design formative attribute also functional usability and technology system.

• 대한산업공학회지
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• 제33권2호
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• pp.183-190
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• 2007

We present a new decision tree classification algorithm using rough set theory that can induce classification rules, the construction of which is based on core attributes and relationship between objects. Although decision trees have been widely used in machine learning and artificial intelligence, little research has focused on improving classification quality. We propose a new decision tree construction algorithm that can be simplified and provides an improved classification quality. We also compare the new algorithm with the ID3 algorithm in terms of the number of rules.

• 품질경영학회지
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• 제46권2호
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• pp.259-268
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• 2018

Purpose: SIT(Systematic Inventive Thinking) has been widely used in recent years. The validity of the five thinking tools of SIT is examined, and how to improve the inventive thinking tools is investigated. Methods: Frequency analysis on the usage of the TRIZ 40 inventive principles was used. Inventive thinking tools are derived by eliminating principles with low frequencies and grouping similar principles together. Results: Segmentation, prior action, combining, extraction, cushion in advance, transformation of properties are most frequently used among the 40 principles of TRIZ. The most frequently used principles and similar principles with them are grouped into new inventive thinking tools. Two of them, division and attribute dependency, belong to the 5 thinking tools of SIT, and the others, proactive measures, combination and reversal, do not. Conclusion: The newly identified inventive thinking tools are division, combination, proactive measures, attribute dependency, and reversal. The new five inventive thinking tools are quite efficient since they can cover more than two thirds of the TRIZ 40 inventive principles.