• The Journal of the Korea Contents Association
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• v.16 no.7
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• pp.532-540
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• 2016

With Recently in art and culture domains, there's rising controversy over shared economy and public domain works. The government is introducing institutional measures such as Gongumadang and KOGL(Korea Open Government License) program to expand the grounds for public domain works. In order to promote and facilitate the use of public domain works, it is imperative to understand how the providers who create and provide the public domain works, as well as the users, perceive shared economy and public domain works. However, preceding studies usually put emphasis on the meaning and significance of the shared economy and show limitation of not discussing providers' perception on shared economy and public domain works. Therefore, this study examines to see if there's a difference of perception between the consumers/users and the providers who owns the copyright of public domain work.

• Journal of Convergence for Information Technology
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• v.9 no.8
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• pp.110-122
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• 2019

IT innovation, cultural revolution based on smart and social networks diversified sharing economy services. Due to the rising of business utilizing the sharing economy concept, it is important to better understand the motivational factors that drive and deterrent sharing economy services in the marketplace. Based on responses from 809 adult users, 3 drivers and 2 deterrents affecting intention to use of sharing economy services were identified. Then this study categorized sharing economy services as three types of segments based on consumer perceptions and subjectivity, and analyzed differencies of perceptions on motivational factors between groups. As a result, redistribution market group has shown meaningful different average scores on economic benefit, sustainability and social risk with other groups. Based on the empirical evidence, this study suggests several propositions for future studies and implications for sharing economy businesses on how to formulate optical strategies and manage users.

• Journal of the Korean Society for information Management
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• v.41 no.1
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• pp.283-311
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• 2024

This study examined the factors affecting the intention of the public to share electronic medical records(EMR) based on the theory of reasoned action and the privacy calculus model. It also investigated whether the purpose of EMR sharing varies depending on personal characteristics, such as the degree of interest in health and personal medical history. According to an online survey of 145 people, altruistic enjoyment, awareness of personal information protection, recognition of legal and institutional roles, and interest in health had a positive impact on the level of EMR sharing, and trust in hospitals positively adjusted the relationship between recognition of legal and institutional roles and sharing intentions. Accordingly, we confirmed that the public recognized the role of the government and hospitals in the sharing process as necessary. The public interest benefits of sharing are critical to activating public participation in the sharing of EMR, and it is also essential to prepare guidelines that legally guarantee the security and proper use of EMR.

• Proceedings of the Korean Society for Information Management Conference
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• 2003.08a
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• pp.219-230
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• 2003

금융기관의 경쟁력을 창출하기 위해서는 전 임직원들의 경쟁력 마인드와 업무현장의 실제적인 경험에서 우러나온 노하우, 은행내외에서 생산되어 유통되고 있는 명시적 지식정보 등을 서로 공유할 수 있는 조직문화가 갖추어져야 한다. 여기에 지식정보관리의 중요성에 대한 인식과 발상전환이 이루어져야 한다. 이 연구는 지식정보관리에 대한 중요성을 중심으로 국내 은행들의 지식정보공유에 대한 영향과 그 인식수준의 다양성을 조사하고 분석하여 은행에서의 바람직한 지식정보공유의 당위성을 은행의 역할과 개선방안 측면에서 모색해 보고자 한다.

• Journal of the Korean Society for information Management
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• v.25 no.2
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• pp.5-24
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• 2008

As resource sharing becomes more active and complicated in academic libraries, a better understanding of how librarians-a key stakeholder-view the current level of resource sharing is needed. Using survey method, this study collected data regarding the Perception of 78 librarians with regard to interlibrary loan, document delivery, union catalog construction, shared acquisition, and community building. Overall, the respondents evaluated well-established forms of resource sharing(interlibrary loan, document delivery, and union catalog construction) more positively than less-well developed ones(shared acquisition and community building). Correlation analysis between perception of library/individual characteristics was conducted. Barriers to each of the five areas of resource sharing are also identified in the study.

• Journal of the Korean Society for information Management
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• v.38 no.4
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• pp.173-198
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• 2021

The study aims to understand university constituents' perceptions and experiences of research data management and sharing then explore the critical factors for establishing effective research data management plans. The literature review enabled summarization of the significant issues regarding research data management and sharing. In addition, the follow-up survey revealed the university constituents' perceptions and experiences about research data management and sharing. This study has significance because it laid the foundation for long-term research data management policies and services development.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.04a
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• pp.355-358
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• 2010

모바일 환경이 발전하고 보편화됨에 따라 사용자의 상황정보를 인식하고 추론하여 서비스를 제공하는 상황인식 서비스에 대해 관심이 높아지고 있다. 상황인식 서비스는 사용자 및 주변 환경의 상황을 알아내고 공유하여 그에 맞는 서비스를 제공한다. 이를 위한 상황정보는 사용자의 요구와 주변 상황이 수시로 변화하는 이동통신 환경에서 중요하게 활용된다. 본 논문에서는 컨텍스트의 수집과 공유를 위해 안드로이드 기반의 컨텍스트폰 플랫폼과 컨텍스트 서버를 구현하여 사용자 상황 정보를 시각화 하고 서로 공유할 수 있게 하였다. 상황인식에 대한 연구에는 주로 위치 및 이동에 관한 연구가 많은 부분을 차지하고 있는데, 위치정보는 상황인식을 위해 반드시 필요한 정보이며 이를 통해 사용자의 현재 상황을 파악할 수 있는 중요한 정보로 활용되고 있다. 안드로이드 기반의 컨텍스트폰 플랫폼과 컨텍스트 서버, GPS를 이용하여 사용자의 위치를 추적하거나 찾아내어 실시간으로 상대방의 위치 정보와 사용자 간의 거리를 알아내어 공유하고 맵을 통해 사용자 위치를 파악하여 위치와 관련된 서비스를 제공하려 한다.

• The Journal of the Korea Contents Association
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• v.18 no.9
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• pp.1-13
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• 2018

Creating shared value (CSV) is a strategic approach connected to social value by moving away from a corporation's profit and competition oriented strategies. This study attempted to analyze consumers' perception and intention to participate in corporation's CSV practices. The results are as follows. First, consumers tend to have positive perception toward the practicability of CSV strategy. Second, a structural equation model was established and verified to analyze the relationship among the perceived practicability of CSV, perceived benefits for corporations and consumers and consumers' intention to participate in CSV strategy. Specifically, the result showed that consumers' perception on the practicability of CSV has positive effect on the perceived benefit for corporations. Also, consumers' perception on the benefits they may receive through CSV was positively affected by the perception on the benefits for corporations. The result indicated that consumers' perceptions on benefits of CSV have positive influence on consumers' intention to participate in CSV strategy.

• Journal of Digital Convergence
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• v.13 no.1
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• pp.243-248
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• 2015

Recognition model is not defined when you configure a model, Been added to the model after model building awareness, Model a model of the clustering due to lack of recognition models are generated by modeling is causes the degradation of the recognition rate. In order to improve decision tree state tying modeling using parameter estimation of Bayesian method. The parameter estimation method is proposed Bayesian method to navigate through the model from the results of the decision tree based on the tying state according to the maximum probability method to determine the recognition model. According to our experiments on the simulation data generated by adding noise to clean speech, the proposed clustering method error rate reduction of 1.29% compared with baseline model, which is slightly better performance than the existing approach.

• Proceedings of the Korea Multimedia Society Conference
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• 2003.11a
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• pp.17-20
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• 2003

본 논문에서는 공유 모델링의 대표적인 방법인 결정트리 기반 상태공유 모델을 기반으로 하여 그 출력 확률 분포의 혼합 가우시안 수를 줄임으로써 모델을 최적화하고자 하였다. 결정트리 기반의 상태공유 모델링은 일반적인 방법을 따랐으며 혼합 가우시안 수를 늘려 인식률이 최대가 되는 지점에서 혼합 가우시안을 클러스터링하여 그 수를 줄였다. 클러스터링 시에 필요한 거리 측정 방법이나 가까운 두 가우시안의 합성 방법을 여러 기법을 실험하였다. 이때 인식률은 클러스터링 이전인 97.2%를 유지하였으며 총 혼합 가우시안의 감소율은 1.0%를 보임으로써 모델을 최적화할 수 있었다.