• Annual Conference of KIPS
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• 2012.11a
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• pp.1017-1020
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• 2012

최근 정보화의 급속한 발전과 함께 다양하고 첨단화된 서비스를 제공하기 위해 개인정보에 대한 의존도 및 활용도가 높아지고 있다. 특히 오늘날 개인정보는 사회의 모든 분야에서 없어선 안 되는 필수재 역할을 하고 있고, 이러한 이유로 개인정보보호는 단순히 개인의 권익에 관한 문제로 국한되지 않고, 기업의 사활을 좌지우지하는 비즈니스 이슈로 대두되고 있다. 따라서 본 논문에서는 보안 컨설팅을 중소기업을 대상으로 제공하여 개인정보를 보다 안전하게 보호하고 중소기업 또한 기업 활동에 지장이 없게 도와줄 수 있도록 설계하고 구현한다.

• Journal of Information Technology Applications and Management
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• v.10 no.3
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• pp.1-22
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• 2003

P2P systems have been studied by many researchers in universities and commercial firms in recent years. In this study. we design and implement a system that makes UP for shortcomings of currently available P2P systems. Gnutella and Napster. The study also includes an efficiency analysis scheme conducted through a series of experimental data. The data sharing system of the study demonstrated duality of roles(client, service) of peers. But, their roles were separated from the existing client-server systems. Also, the study implements mechanism that shows the redundancy of data to communicate efficiently among peers for transferring data. The results of performance measure of the system shows that the amount of information shared by peers increases as the amount of peers increases but with no significant increase in response time. This constant response time is far more stable and faster than current file sharing systems. such as Gnutella and Napster. Business applications such as knowledge management, enterprise information portal management and transfer of data are done by use of supercomputers. They need to extend their systems to equip with more capacity and throughput as the number of clients increases. Moreover, they will face with more complicated problems if integration with new systems exists. If this JDSS is introduced to these business applications. it would easily augment scalability of the system with high performance at less expense.

• Journal of the Korean Society for information Management
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• v.22 no.2 s.56
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• pp.229-251
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• 2005

Many Korean financial firms have built knowledge management systems, however, most of the systems have fragmentary ideas or suggestions. This study proposes the model of ontology-based knowledge repository through which one could integrate knowledge for business use in the BPM environments. The knowledge includes implicit and explicit knowledge. library materials, documents, and information for experts as well. In order to get basic ideas for this model, case studies utilized interviews and surveys were conducted targeting at four Korean banks' knowledge managers, librarians and thirty staffs.

• Korean Journal of Construction Engineering and Management
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• v.3 no.1 s.9
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• pp.65-73
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• 2002

By its nature, software part of the construction industry such as engineering and so forth has been kept secret to outside, as it determines a company$^{\circ}{\phi}s$ competitiveness. As a result, construction field knowledge usually disappears with the end of a project. The objective of this study is to develop the knowledge management (BM) learning model tuned in to construction area in order to manage project-related knowledge and promote the knowledge management. This study presented a learning model for knowledge management in the construction field, with the aim to integrate a series of processes. The model is composed of EIP, EDMS, knowledge and failure cases management, CoP and e-Learning.

• Proceedings of the Korean Information Science Society Conference
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• 2010.06d
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• pp.202-207
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• 2010

정부의 지식행정시스템은 2001년 도입 이래 그 동안 각 기관의 실정에 맞게 많은 발전을 거쳐 사용자들이 업무를 효율적으로 수행하기 위해 필수적인 시스템으로 자리를 잡았다. 하지만 최근 정보보안(내부 자료 유출 방지, 해킹 피해 최소화 등)의 요구가 증가함에 따라 기존의 네트워크를 업무망과 인터넷망으로 분리하는 네트워크 분리가 이루어지고 있다. 이러한 변화에서 지식행정시스템은 시스템 분할의 기준이 없어 일방적으로 업무망에만 설치되는데 이렇게 될 경우 지식행정시스템의 일부 기능이 제한되고 사용자의 사용성이 떨어지며 외부 사용자는 접근이 불가능하게 되는 문제가 발생한다. 정보보안 강화라는 네트워크 분리의 목적을 달성하면서도 사용자의 불편함을 최소화하기 위해서는 업무망에 있는 지식행정시스템을 업무망과 인터넷망에 분할하여 설치하는 새로운 모델이 필요한데, 기존에 제안된 분할 방법은 분할 목적이 다름으로 인해 적용하기가 어려웠다. 본 논문에서는 네트워크 분리 환경에 맞는 새로운 시스템 분할 요인으로 외부사용자 참여도, 내부시스템 결합도, 인터넷 결합도를 제시하고 요인별 측정치에 따른 위치를 결정하여 네트워크 분할환경에서의 효율적인 지식행정시스템 모델을 제안하고 문화체육관광부의 지식행정시스템에 적용한다. 본 논문에서 제시한 지식행정시스템 모델을 사용하면 네트워크 분리환경에 따라 발생한 시스템의 제한된 기능의 정상화가 가능하고, 불가능했던 외부 사용자의 접근이 가능하며, 사용자의 불편함을 완화시킬 수 있다.

• Proceedings of the KAIS Fall Conference
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• 2006.05a
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• pp.457-461
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• 2006

디지털 융합(Digital Convergence)이 모든 분야에서 급속히 전개됨으로서 기업들은 전략적으로 IT를 전사적으로 활용하면서 글로벌 시대의 경쟁 기업들에 비해 보다 빠른 신기술 습득을 적용함으로써 생존 경쟁의 우위 확보 전략이 점차 강화되고 있는 실정이다. IT 기술의 발전 방향도 전사적 데이터 및 비즈니스 프로세스의 통합을 통하여 전 영역에 걸쳐 신기술을 이용하여 표준화와 통합화로 진보되고 있다. 그러나 글로벌 경쟁체제인 세계화가 가속화 되고 있는 기업들의 품질 경영 활동이 실시간으로 처리되지 못함에 따라 각종 경영혁신 활동에 대한 통제/관리와 비용 절감 노력이 기업 역량 강화에 유기적인 효과를 거두지 못하고 있는 실정이다. 따라서 본 연구에서 일반적으로 제조 부문이나 사무간접(관리)부문에서도 적용 가능한 6시그마 추진 방법론을 기반으로 목표관리 및 방침관리인 Top-Down 프로세스인 순공학 품질경영 활동인 뿐만 아니라, 현장의 창의적인 품질경영 활동을 통한 Bottom-Up 프로세스인 역공학 품질경영 활동에서도 적용 가능한 실시간 동시공학적인 품질경영 활동의 프레임워크를 설계하도록 한다. 또한 가치 흐름 분석을 통해 낭비 요인을 철저하게 제거하고, 프로세스의 흐름을 최적화하여 원하는 품질경영 활동이 프로젝트로 발전하여 기업경영에 실시간으로 반영될 수 있는 전사적 통합 품질경영 활동 시스템을 제안하도록 한다.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.28 no.4
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• pp.35-55
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• 2017

The Master Data is constructed for the wide use within the institution, and it is mainly used in the enterprise. In this research, we have conducted research for the purpose of building master data on infrastructure that can be used by public institutions in the country. To do this, we analyzed individual attributes of the standard data set provided by the public data portal. Among these, we extracted standard elements that match the characteristics of the Master Data. Finally, the standardized elements are verified through the standardization system that is utilized in the country.

• Knowledge Management Research
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• v.20 no.3
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• pp.73-89
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• 2019

The purpose of this study is to investigate the current state of public Big Data in Seoul and suggest policy directions for the revitalization of Seoul's public Big Data. Big Data is perceived as innovation resources under the era of 4th Industrial revolution and Data economy. Especially, public Big Data serves a significant role in terms of universal access for citizens, startup, and enterprise compared with the private sector. Seoul reorganized a substructure of government's focus on Big Data and established organizations such as Big Data Campus and Urban Data Science Lab. Although the number of public open Data has increased in Seoul, there exists not much Data with characteristics similar to Big Data, such as volume, velocity, and value. In order to present the direction of Big Data policy in Seoul, we investigate the current status of Big Data Campus and Urban Data Science Lab operated by Seoul City. Considering the results of this study, we have proposed several directions that Seoul can use in establishing big data related strategies.

• Journal of Distribution Science
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• v.16 no.2
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• pp.89-99
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• 2018

Purpose - In this study, we discuss the current status and barriers of digital transformation focused on small businesses. More specifically, this study consists of two studies. The purpose of study 1 is to investigate the effect of digitization of small businesses on the sales of stores and the number of visiting customers. The purpose of Study 2 is to examine the status and obstacles of online channels use by small businesses. Research design, data, and methodology - In Study 1, we will examine the changes in sales and visitor numbers of stores that are rapidly adapting to digital transformation among small business. For this, we utilize the actual situation of store management survey conducted by the Small Enterprise and Market Service. Specifically, multiple regression equations were used to determine whether blogs and online shopping malls were operating, and the proportion of credit cards to sales as independent variables and sales and number of visiting customers as dependent variables. Next, in Study 2, we surveyed the 15 small business owners in the latest survey on the actual situation of store management survey conducted in 2015, and conducted an in-depth interview to examine the barriers to the use of online channels by small business. Results - As a result of study 1, it is found that the small business who run the blogs have higher sales and visits than the small business who do not. However, there is no difference in the sales and the number of visiting customers between the stores that operate the online shopping malls and those that do not. Second, the higher the proportion of credit cards, the higher the sales and the number of visiting customers. In study 2, we analyzed the barriers to the expansion of online channels by in-depth interviews. Interviews show that barriers to access to online channels are limited by search neutrality, high commission burden, and low bargaining power. These problems are caused by the insufficiency of small business compared to online and mobile portal and O2O platform vendors. Conclusions - This study suggests that small business who have difficulty in establishing direct online channels need digital transformation of small business. In addition, when using such an external platform, we have identified the problems that small business face.

• Journal of Intelligence and Information Systems
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• v.17 no.1
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• pp.127-138
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• 2011

The core service of most research portal sites is providing relevant research papers to various researchers that match their research interests. This kind of service may only be effective and easy to use when a user can provide correct and concrete information about a paper such as the title, authors, and keywords. However, unfortunately, most users of this service are not acquainted with concrete bibliographic information. It implies that most users inevitably experience repeated trial and error attempts of keyword-based search. Especially, retrieving a relevant research paper is more difficult when a user is novice in the research domain and does not know appropriate keywords. In this case, a user should perform iterative searches as follows : i) perform an initial search with an arbitrary keyword, ii) acquire related keywords from the retrieved papers, and iii) perform another search again with the acquired keywords. This usage pattern implies that the level of service quality and user satisfaction of a portal site are strongly affected by the level of keyword management and searching mechanism. To overcome this kind of inefficiency, some leading research portal sites adopt the association rule mining-based keyword recommendation service that is similar to the product recommendation of online shopping malls. However, keyword recommendation only based on association analysis has limitation that it can show only a simple and direct relationship between two keywords. In other words, the association analysis itself is unable to present the complex relationships among many keywords in some adjacent research areas. To overcome this limitation, we propose the hybrid approach for establishing association network among keywords used in research papers. The keyword association network can be established by the following phases : i) a set of keywords specified in a certain paper are regarded as co-purchased items, ii) perform association analysis for the keywords and extract frequent patterns of keywords that satisfy predefined thresholds of confidence, support, and lift, and iii) schematize the frequent keyword patterns as a network to show the core keywords of each research area and connecting keywords among two or more research areas. To estimate the practical application of our approach, we performed a simple experiment with 600 keywords. The keywords are extracted from 131 research papers published in five prominent Korean journals in 2009. In the experiment, we used the SAS Enterprise Miner for association analysis and the R software for social network analysis. As the final outcome, we presented a network diagram and a cluster dendrogram for the keyword association network. We summarized the results in Section 4 of this paper. The main contribution of our proposed approach can be found in the following aspects : i) the keyword network can provide an initial roadmap of a research area to researchers who are novice in the domain, ii) a researcher can grasp the distribution of many keywords neighboring to a certain keyword, and iii) researchers can get some idea for converging different research areas by observing connecting keywords in the keyword association network. Further studies should include the following. First, the current version of our approach does not implement a standard meta-dictionary. For practical use, homonyms, synonyms, and multilingual problems should be resolved with a standard meta-dictionary. Additionally, more clear guidelines for clustering research areas and defining core and connecting keywords should be provided. Finally, intensive experiments not only on Korean research papers but also on international papers should be performed in further studies.