• Management Science and Financial Engineering
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• 제10권1호
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• pp.25-41
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• 2004

There have been many studies to build a model that can help investors construct optimal portfolio. Most of the previous models, however, are based upon the path-breaking Markowitz model (1959) which is a quantitative model. One of the most important problems with that kind of quantitative model is that, in reality, most of the investors use not only quantitative, but also qualitative information when they select their optimal portfolio. Since collecting both types of information from the markets are time consuming and expensive, making a set of target assets smaller, without suffering heavy loss in the rate of return, would attract investors. To extract only desired assets among all available assets, we need knowledge that identifies investors' preference for the risk of the assets. This study suggests two-layer decision-making rules capable of identifying an investor's risk preference and an architecture applying them to a quantitative portfolio model based on risk and expected return. Our knowledge-based portfolio system is to build an investor's preference-oriented portfolio. The empirical tests using the data from Korean capital markets show the results that our model contributes significantly to the construction of a better portfolio in the perspective of an investor's benefit/cost ratio than that produced by the existing portfolio models.

• Safety and Health at Work
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• 제12권1호
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• pp.1-9
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• 2021

This review article addresses the role of safety professionals in the diffusion strategies for predictive analytics for safety performance. The article explores the models, definitions, roles, and relationships of safety professionals in knowledge application, access, management, and leadership in safety analytics. The article addresses challenges safety professionals face when integrating safety analytics in organizational settings in four operations areas: application, technology, management, and strategy. A review of existing conventional safety data sources (safety data, internal data, external data, and context data) is briefly summarized as a baseline. For each of these data sources, the article points out how emerging analytic data sources (such as Industry 4.0 and the Internet of Things) broaden and challenge the scope of work and operational roles throughout an organization. In doing so, the article defines four perspectives on the integration of predictive analytics into organizational safety practice: the programmatic perspective, the technological perspective, the sociocultural perspective, and knowledge-organization perspective. The article posits a four-level, organizational knowledge-skills-abilities matrix for analytics integration, indicating key organizational capacities needed for each area. The work shows the benefits of organizational alignment, clear stakeholder categorization, and the ability to predict future safety performance.

• 경영과정보연구
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• 제31권3호
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• pp.271-305
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• 2012

최근 온라인 커뮤니티의 활성화로 인하여 그 영향력은 점차 커지고 있으며, 더 나아가 기업의 마케팅전략수립에도 많은 영향을 미치고 있다. 본 연구에서는 공통관심사를 중심으로 자발적으로 형성된 온라인 커뮤니티 회원들을 대상으로 그들이 왜 이러한 지식공유행동을 하게 되는지에 대한 동기요인을 밝히고자 한다. 구체적인 연구목적을 제시하면, 첫째, YF소나타와 Sony디카(디지털 카메라)사진 온라인 브랜드 커뮤니티 회원들을 중심으로 정성적 연구를 실시한다. 즉, 온라인 커뮤니티 회원들로 하여금 적극적으로 지식공유행동을 유발시키는 동기요인이 무엇인지를 규명하고자 한다. 둘째, 정성적 연구결과의 내용분석을 통해 설문항목을 개발한 후 이러한 항목들에 대한 신뢰성과 타당성을 검증하고자 한다. 그 결과, 기존연구에서는 제시되지 않았던 새로운 지식공유 동기요인이 밝혀졌으며, 본 연구를 통해 성취감과 보상, 신뢰 등의 동기요인을 제외한 과시욕구, 인지도, 지각된 혜택, 즐거움, 도전감, 소속감 등의 여섯 개 요인이 지식공유행동의 동기요인으로 새롭게 밝혀졌다. 이러한 연구를 통해 제시된 지식공유행동의 동기요인은 온라인 커뮤니티의 활성화에 더욱 긍정적인 영향을 미칠 것이며 더 나아가 향후에는 지식공유행동과 관련된 결과변수 들간의 관계를 살펴보는 것도 의미있는 연구가 될 것이다.

• 시스템엔지니어링학술지
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• 제11권2호
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• pp.125-135
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• 2015

Various methods have been used for safety and reliability as it becomes more difficult to ensure safety owing to the increasing complexity and scale of systems. This study aims at making it easier and more efficient to discuss risks and countermeasures for completeness, review, and knowledge transfer by improving methods to create fault tree analyses which focus on the GSN [1], which are among the methods used to describe assurance cases. More specifically, the purpose of this study is to incorporate strategy and context, GSN concepts, along with reason, which is a new concept, into FTA; the study focuses on three points. One point is support for the safety designer to draw a mutually exclusive and collectively exhaustive (MECE) FTA. The second is to make it easier to understand diagrams and meanings of FTA compared with the usual methods. The third is to make creating an FTA more efficient and to pass on existing know-how. Eventually, FTA can achieve completeness, review, and knowledge transfer. An introduction is provided in the first section. Next, the methodology covered in this paper is explained in the second section. The third section describes the proposed notation method based on two proposals made in this paper. In the fourth and fifth sections, results and discussion are provided, respectively. Finally, in the sixth section, conclusions are described.

• 정보관리학회지
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• 제36권1호
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• pp.191-213
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• 2019

과학적 지식을 얻는 과정은 연구자의 연구를 통해 이루어진다. 연구자들은 과학의 불확실성을 다루고 과학적 지식의 확실성을 구축해나간다. 즉, 과학적 지식을 얻기 위해서 불확실성은 반드시 거쳐가야 하는 필수적인 단계로 인식되고 있다. 현존하는 불확실성의 특성을 파악하는 연구는 언어학적 접근의 hedging 연구를 통해 소개되었으며 컴퓨터 언어학에서 수작업 기반으로 불확실성 단어 코퍼스를 구축해왔다. 기존의 연구들은 불확실성 단어의 단순 출현 빈도를 기반으로 특정 학문 영역의 불확실성의 특성을 파악해오는데 그쳤다. 따라서 본 연구에서는 문장 내 생의학적 주장이 중요한 역할을 하는 생의학 문헌을 대상으로 불확실성 단어 기반 과학적 지식의 패턴을 시간의 흐름에 따라 살펴보고자 한다. 이를 위해 생의학 온톨로지인 UMLS에서 제공하는 의미적 술어를 기반으로 생의학 명제를 분석하였으며, 학문 분야의 패턴을 파악하는데 용이한 DMR 토픽 모델링을 적용하여 생의학 개체의 불확실성 기반 토픽의 동향을 종합적으로 파악하였다. 시간이 흐름에 따라 과학적 지식의 표현은 불확실성이 감소하는 패턴으로 연구의 발전이 이루어지고 있음을 확인하였다.

• 기술혁신학회지
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• 제21권1호
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• pp.33-63
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• 2018

본 연구는 과학기술정책 연구의 정체성 파악과 개념 정립을 위해 과학기술정책 연구가 무엇을 연구하는 학문인가에 대한 해답을 구하고자 하였다. 따라서, 그 동안의 과학기술정책 연구가 어떻게 이루어졌는가에 대한 내용분석을 통한 연구현황과 네트워크 분석을 통한 과학기술정책 연구의 지식구조 및 지식흐름을 파악하고자 하였다. 이를 위해 1993년부터 2016년까지의 기술혁신학회지 및 기술혁신연구에 게재된 논문들의 데이터셋을 구축하고 실증분석하였다. 분석결과, 지금까지의 과학기술정책 연구는 서울 대전 지역, 대학 출연(연)에서 대부분의 연구가 수행되어, 특정 지역이나 연구수행 주체에 편중되기보다는 다양화된 형태로 수행되어야 할 것이다. 연구범위별로는 연구관리 및 기술혁신 분야에서 70% 이상을 차지하고 있어, 향후 '과학기술 공공관리' 및 '과학기술 정책과정' 등에서 더 많은 연구가 수행되어 균형 있는 학문 분야로 성장해 나아가야 할 것이다. 한편 과학기술정책 연구의 지식구조를 파악하기 위해 주제어를 활용한 네트워크 분석결과, 연구관리, 기술혁신, 과학기술 공공관리 및 정책과정 등으로 군집화되어 이찬구 김은미 오현정(2016)이 제시한 지식구조와 크게 다르지 않았음을 재확인할 수 있었다. 지식흐름을 파악하기 위해 정권별로 구분하여 시기별 분석을 수행한 결과, 초기 과학기술정책 연구는 연구자, 연구개발투자 등 일반적인 주제로부터 시작하여 최근 기술혁신체제, 연구성과 활용 등 다양화되고 세분화된 연구가 진행되고 있는 것으로 분석되었다. 따라서 향후 과학기술정책연구는 과학기술 정책과정, 과학기술 공공관리, 연구관리, 기술혁신 측면에서 더욱 확대되어야 하며 체계적인 지식구조를 형성해 나아가야 할 것으로 판단된다.

• 한국품질경영학회:학술대회논문집
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• 한국품질경영학회 2010년도 춘계학술대회
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• pp.310-320
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• 2010

In this study, factors affecting the development of new products and research about the relevance of the factors based on the research model was configured. Existing research and technology commercialization process of discrimination that occur in the importance of risk management and open innovation company's competitive advantage in new product development and affect the reporter know what the effect is used as a control variable effects. Factor in the development of new products through research and innovation capacity and knowledge management activities, the introduction of open innovation and enterprise level ever due to the level of risk management controls and the need for effective research to study the model was proposed.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.188-195
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• 2022

Although issuing change orders is a common practice in the construction phase of any project, non-structural utility subcontractors are struggling and seek to find a way to reduce change orders. Therefore, this paper presents the analysis results on change orders to cultivate possible suggestions and solutions on how to reduce or minimize change orders in mechanical, electrical, and plumbing (MEP) works. Change orders in non-structural utility works are analyzed based on six categories such as rerouting and change of location, changes in weight, rejected design by Office of Statewide Health Planning and Development, District Structural Engineer, or the Structural Engineer of Record, unforeseen conditions, changed equipment, and owner-initiated change. The analysis findings showed that rerouting and changing location is the most significant cause, followed by unforeseen conditions. The results not only contribute to the existing body of knowledge on change order research area, but also help MEP contractors reduce the time and cost of change orders.

• 한국도서관정보학회지
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• 제28권
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• pp.39-59
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• 1998

The purpose of this study is to develop the education programs for the archival librarian in Korea. The importance of archival work requires that archivists should receive an archival education at university. But there is no professional education programs in Korea. The interdisciplinary character of archival studies programs make it possible to place them in a variety of setting, such as a department of library and information science, department of history. Currently, archival education must assume a much more prominent role within the library and information science. Library and information science educators, increasingly concerned with their own survival, seek rational ways to diversify their area. They are looking at mergers with allied fields. Archival education programs will find a welcome home in a number of existing department of library and information science. Archival education programs could be provided according to three categories undergraduate coursework, master of archival studies, and continuing education programs. The body of knowledge that a student should master as part of an archival education program is classified here as basic knowledge of archival studies, specified knowledge of archives and records, practical knowledge of archives and records management, and complementary and contextual knowledge of archival studies.

• Asia pacific journal of information systems
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• 제22권3호
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• pp.53-74
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• 2012

A challenge in fostering virtual communities is the continuous supply of knowledge, namely members' willingness to contribute knowledge to their communities. Previous research argues that giving away knowledge eventually causes the possessors of that knowledge to lose their unique value to others, benefiting all except the contributor. Furthermore, communication within virtual communities involves a large number of participants with different social backgrounds and perspectives. The establishment of mutual understanding to comprehend conversations and foster knowledge contribution in virtual communities is inevitably more difficult than face-to-face communication in a small group. In spite of these arguments, evidence suggests that individuals in virtual communities do engage in social behaviors such as knowledge contribution. It is important to understand why individuals provide their valuable knowledge to other community members without a guarantee of returns. In virtual communities, knowledge is inherently rooted in individual members' experiences and expertise. This personal nature of knowledge requires social interactions between virtual community members for knowledge transfer. This study employs the social capital theory in order to account for interpersonal relationship factors and identity theory for individual and group factors that may affect knowledge contribution. First, social capital is the relationship capital which is embedded within the relationships among the participants in a network and available for use when it is needed. Social capital is a productive resource, facilitating individuals' actions for attainment. Nahapiet and Ghoshal (1997) identify three dimensions of social capital and explain theoretically how these dimensions affect the exchange of knowledge. Thus, social capital would be relevant to knowledge contribution in virtual communities. Second, existing research has addressed the importance of identity in facilitating knowledge contribution in a virtual context. Identity in virtual communities has been described as playing a vital role in the establishment of personal reputations and in the recognition of others. For instance, reputation systems that rate participants in terms of the quality of their contributions provide a readily available inventory of experts to knowledge seekers. Despite the growing interest in identities, however, there is little empirical research about how identities in the communities influence knowledge contribution. Therefore, the goal of this study is to better understand knowledge contribution by examining the roles of social capital and identity in virtual communities. Based on a theoretical framework of social capital and identity theory, we develop and test a theoretical model and evaluate our hypotheses. Specifically, we propose three variables such as cohesiveness, reciprocity, and commitment, referring to the social capital theory, as antecedents of knowledge contribution in virtual communities. We further posit that members with a strong identity (self-presentation and group identification) contribute more knowledge to virtual communities. We conducted a field study in order to validate our research model. We collected data from 192 members of virtual communities and used the PLS method to analyse the data. The tests of the measurement model confirm that our data set has appropriate discriminant and convergent validity. The results of testing the structural model show that cohesion, reciprocity, and self-presentation significantly influence knowledge contribution, while commitment and group identification do not significantly influence knowledge contribution. Our findings on cohesion and reciprocity are consistent with the previous literature. Contrary to our expectations, commitment did not significantly affect knowledge contribution in virtual communities. This result may be due to the fact that knowledge contribution was voluntary in the virtual communities in our sample. Another plausible explanation for this result may be the self-selection bias for the survey respondents, who are more likely to contribute their knowledge to virtual communities. The relationship between self-presentation and knowledge contribution was found to be significant in virtual communities, supporting the results of prior literature. Group identification did not significantly affect knowledge contribution in this study, inconsistent with the wealth of research that identifies group identification as an important factor for knowledge sharing. This conflicting result calls for future research that examines the role of group identification in knowledge contribution in virtual communities. This study makes a contribution to theory development in the area of knowledge management in general and virtual communities in particular. For practice, the results of this study identify the circumstances under which individual factors would be effective for motivating knowledge contribution to virtual communities.