• 한국경영정보학회:학술대회논문집
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• 한국경영정보학회 2007년도 International Conference
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• pp.539-544
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• 2007

People tend to resist changing their software even alternatives are better then the current one. This study examines the resistance to change in the use of software from the switching costs perspective based on status quo bias theory. For this study, we select Web Browsers as software. Based on the classification of switching costs into three groups (psychological, procedural, and loss), this study identifies six types of switching costs (uncertainty, commitment, learning, setup, lost performance, and sunk costs). This study tests the effects of six switching costs on user resistance to change based on the survey of 204 web browser users. The results indicate that lost performance costs and emotional costs have significant effects on user resistance to change. This research contributes towards understanding of switching costs and the effects on user resistance to change. This study also offers suggestions to software vendors for retaining their users and to organizations for managing user resistance in switching and adopting software.

• Asia pacific journal of information systems
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• 제14권2호
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• pp.21-36
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• 2004

Since IT industry has changed very rapidly in technology, market environments, the cyber communities raise new social space. In spite of such growth of cyber communities, academic discussion is relatively limited. This Paper suggested several factors that affect the level of participator's loyalty on cyber communities. Participator's loyalty was classified into two categories, the psychological loyalty, which measure the psychological responses, and the behavior loyalty, which measure the absorption of time, the volume and frequency of visit to cyber communities. Consequently, this research has showed social awareness about cyber community culture and suggested the strategy directions for customer-oriented cyber Community Company.

• 기술혁신연구
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• 제14권3호
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• pp.237-261
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• 2006

Under circumstances with increasing uncertainty, strategic flexibility has become an essential point on which my R&D management system should be based. Unfortunately the present R&D management system for government sponsored R&D programs cannot be said to be so flexible to adapt appropriately to various threatens such as technological failure, a severe change in competition environment, and so on. In this paper a new scheme for R&D planning and economic assessment with strategic flexibility is suggested and applied to a real R&D program. In the newly suggested R&D management system, economic valuation based on real option theory is performed for various alternative scenarios which have different strategic scheme for R&D process each and the result of the assessment is fed back to R&D planning to choose more superior strategic scheme. Introducing strategic flexibility into R&D planning and economic assessment, the value of R&D project could be remarkably enhanced.

• 항공우주시스템공학회지
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• 제8권4호
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• pp.7-17
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• 2014

Objective of this paper is to introduce a new technology known as prognostics and health management (PHM) which enables a real-time life prediction for safety critical systems under extreme loading conditions. In the PHM, Bayesian framework is employed to account for uncertainties and probabilities arising in the overall process including condition monitoring, fault severity estimation and failure predictions. Three applications - aircraft fuselage crack, gearbox spall and battery capacity degradation are taken to illustrate the approach, in which the life is predicted and validated by end-of-life results. The PHM technology may allow new maintenance strategy that achieves higher degree of safety while reducing the cost in effective manner.

• Journal of Information Technology Applications and Management
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• 제12권2호
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• pp.163-184
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• 2005

The purpose of this research is to examine the major determinants affecting the usage and performance of information technologies in Daedeok Valley and Zhongguancun venture firms. The development of the research model is based on the theoretical linkages of IDT (Innovation Diffusion Theory) and TAM(Technology Acceptance Model). Seven hypotheses are derived and tested using regression analysis. The results from regression analysis suggest that the usage of Information technologies is affected by innovation characteristics (perceived usefulness) as well as organizational characteristics (top management support, employee capability on information technology acceptance) in Daedeok Valley venture firms. But, The results from regression analysis suggest that the usage of Information technologies is affected by innovation characteristics (perceived usefulness), organizational characteristics (top management support, employee capability on information technology acceptance), and external pressure (environmental uncertainty, intensity of competition) in Zhongguancun venture firms.

• 산업경영시스템학회지
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• 제40권3호
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• pp.92-98
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• 2017

The rapid growth of engineering technology and the emergence of systemized and large-scale engineering systems have resulted in complexity and uncertainty throughout the lifecycle activities of engineering systems. This complex and large-scale engineering system consists of numerous components, but system failure can be caused by failure of any one of a number of components. There is a real difficulty in managing such a complex and large-scale system as a part. In order to efficiently manage the system and have high reliability, it is necessary to structure a system with a complex structure as a sub-system. Also, in the case of a system in which cause of failures exist at the same time, it is required to identify the correlation of the components lifetime and utilize it for the design policy or maintenance activities of the system. Competitive risk theory has been used as a theory based on this concept. In this study, we apply the competitive risk theory to the models with combined structure of series and parallel which is the basic structure of most complex engineering systems. We construct a competing risks model and propose a mathematical model of net lifetime and crude lifetime for each cause of failure, assuming that the components consisting a parallel system are mutually dependent. In addition, based on the constructed model, the correlation of cause of failure is mathematically analyzed and the hazard function is derived by dividing into net lifetime and crude lifetime.

• 환경영향평가
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• 제4권2호
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• pp.105-121
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• 1995

지하수의 질산오염 문제는 한국을 포함한 세계의 여러나라에서 보고되어 왔다. 질산염은 청색증 유발물질로서 뿐만 아니라 발암물질일 가능성도 동물실험을 통해 제기되고 있다. 대부분의 경우에 지하수 질산염의 주요 오염원은 농작물 생산량의 향상을 위해 사용하는 비료이다. 그밖에 가축의 분뇨, 산업폐기물 및 생활하수도 지역에 띠라 질산염 오염원이 될 시기는 언제인가를 결정하기 위하여 의사결정권자는 여러가지의 작물경작방법에 따라 지하수 질산오염이 어떻게 변하는지를 시계열로 예측할 필요성이 있다. 그러나 직물경작방법에 따른 지하수 질산오염을 예측하는데 필요한 토질특성, 비료의 사용량, 작물의 종류 같은 자료의 대부분은 불확실성을 내포하고 있다. 이러한 불확실성은 경제성 때문에 자료의 불충분한 조사와 인간지식의 부족으로 인해 발생한다. 본 논문에서는 불확실성을 고려하면서 작물경작방법에 따른 지하수 질산오염의 변화를 예측하는 방법을 실제적인 사례를 통해 보여준다. 그리고 자료의 불확실성을 표현하기 위해 퍼지집합이론(fuzzy set theory)은 본 논문에서 응용되었다.

• 환경영향평가
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• 제5권1호
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• pp.47-60
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• 1996

지하수를 음용수로 공급시 질산오염문제는 한국을 포함한 세계의 여러나라에서 보고되어 왔다. 질산($NO_3$)은 청색증 유발물짙로서 뿐만 아니라 발암물질일 가능성도 동물실험을 통해 제기되고 있는 실정이다. 질산에 오염된 지하수로 인한 인체의 위해성을 감소시키기 위하여 여러 가지의 질산 위해성 관리 대책들은 개발될 수 있다. 이러한 여러가지의 대책들을 비교 평가할 때 기준이 되는 항목으로는 (1) 허용할 수 있는 인체의 위해도(Risk Level), (2) 비용, 그리고 (3) 적용하는 방법의 기술적 타당성을 들 수 있다. 그러나 불충분한 자료와 인간지식의 한계 때문에 각 기준항목을 대표하는 값의 대부분은 불확실성을 내포하게 된다. 본 논문에서는 의사결정권자들이 불확실성을 고려하면서 여러가지 대책들 중에서 최적의 대책을 선정하는데 이용하기 위한 다기준의사결정기법은 보여진다. 그리고 각 기준값의 불확실성을 표현하고 다기준의사결정기법과 불확실성을 결합시키기 위하여 퍼지집합이론(Fuzzy Set Theory)은 응용되어 진다.

• 융합정보논문지
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• 제9권4호
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• pp.152-159
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• 2019

본 연구는 거래비용이론을 경험재 선택에 적용하여 경험재의 거래특성과 거래비용에 대해 살펴보는 것을 목적으로 하였다. 경험재의 특성을 반영하여 경험특유성, 거래불확실성, 개인불확실성을 제안하고 이 변수들이 거래비용에 주는 영향, 거래비용이 선택의도에 주는 영향을 가정하였다. 경험재 선택에 관한 207부의 데이터를 분석한 결과는 다음과 같다. 첫째, 경험특유성(장소특유성, 물리적장비특유성, 지식기술특유성, 시간특유성), 거래불확실성(제품불확실성, 과정불확실성), 개인불확실성(선호불확실성, 상황불확실성)은 거래비용에 모두 긍정적 영향을 주는 것으로 나타났다. 둘째, 거래비용(탐색비용, 비교비용, 검사비용, 협상비용, 주문과지불비용, 전달비용)은 해당 경험재의 선택의도에 부정적 영향을 주는 것으로 나타났다. 본 연구의 결과는 거래비용의 증가가 경험재의 선택 가능성을 줄일 수 있고, 거래비용을 감소시키기 위해 경험특유성과 거래불확실성, 개인불확실성의 전략적 고려가 필요함을 보여주고 있다. 또한 거래와 비용적 관점에서의 접근이 부족했던 경험재 연구를 보완함으로써 이론적인 기여를 하고 있다.

• Asia pacific journal of information systems
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• 제24권4호
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• pp.493-513
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• 2014

With the development of related technologies, Location-Based Services (LBS) are growing fast and being used in many ways. Past LBS studies have focused on adoption of LBS because of the fact that LBS users have privacy concerns regarding revealing their location information. Meanwhile, the number of LBS users and revenues from LBS are growing rapidly because users can get some benefits by revealing their location information. Little research has been done on how LBS affects consumers' information search behavior in product purchase. The purpose of this paper is examining the effect of LBS information filtering on buyers' uncertainty and their information search behavior. When consumers purchase a product, they try to reduce uncertainty by searching information. Generally, there are two types of uncertainties - knowledge uncertainty and choice uncertainty. Knowledge uncertainty refers to the lack of information on what kinds of alternatives are available in the market and/or their important attributes. Therefore, consumers having knowledge uncertainty will have difficulties in identifying what alternatives exist in the market to fulfil their needs. Choice uncertainty refers to the lack of information about consumers' own preferences and which alternative will fit in their needs. Therefore, consumers with choice uncertainty have difficulties selecting best product among available alternatives.. According to economics of information theory, consumers narrow the scope of information search when knowledge uncertainty is high. It is because consumers' information search cost is high when their knowledge uncertainty is high. If people do not know available alternatives and their attributes, it takes time and cognitive efforts for them to acquire information about available alternatives. Therefore, they will reduce search breadth. For people with high knowledge uncertainty, the information about products and their attributes is new and of high value for them. Therefore, they will conduct searches more in-depth because they have incentive to acquire more information. When people have high choice uncertainty, people tend to search information about more alternatives. It is because increased search breadth will improve their chances to find better alternative for them. On the other hand, since human's cognitive capacity is limited, the increased search breadth (more alternatives) will reduce the depth of information search for each alternative. Consumers with high choice uncertainty will spend less time and effort for each alternative because considering more alternatives will increase their utility. LBS provides users with the capability to screen alternatives based on the distance from them, which reduces information search costs. Therefore, it is expected that LBS will help users consider more alternatives even when they have high knowledge uncertainty. LBS provides distance information, which helps users choose alternatives appropriate for them. Therefore, users will perceive lower choice uncertainty when they use LBS. In order to test the hypotheses, we selected 80 students and assigned them to one of the two experiment groups. One group was asked to use LBS to search surrounding restaurants and the other group was asked to not use LBS to search nearby restaurants. The experimental tasks and measures items were validated in a pilot experiment. The final measurement items are shown in Appendix A. Each subject was asked to read one of the two scenarios - with or without LBS - and use a smartphone application to pick a restaurant. All behaviors on smartphone were recorded using a recording application. Search breadth was measured by the number of restaurants clicked by each subject. Search depths was measured by two metrics - the average number of sub-level pages each subject visited and the average time spent on each restaurant. The hypotheses were tested using SPSS and PLS. The results show that knowledge uncertainty reduces search breadth (H1a). However, there was no significant correlation between knowledge uncertainty and search depth (H1b). Choice uncertainty significantly reduces search depth (H2b), but no significant relationship was found between choice uncertainty and search breadth (H2a). LBS information filtering significantly reduces the buyers' choice uncertainty (H4) and reduces the negative relationship between knowledge uncertainty and search breadth (H3). This research provides some important implications for service providers. Service providers should use different strategies based on their service properties. For those service providers who are not well-known to consumers (high knowledge uncertainty) should encourage their customers to use LBS. This is because LBS would increase buyers' consideration sets when the knowledge uncertainty is high. Therefore, less known services have chances to be included in consumers' consideration sets with LBS. On the other hand, LBS information filtering decrease choice uncertainty and the near service providers are more likely to be selected than without LBS. Hence, service providers should analyze geographically approximate competitors' strength and try to reduce the gap so that they can have chances to be included in the consideration set.