• Genomics & Informatics
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• v.17 no.2
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• pp.18.1-18.10
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• 2019

Prediction of the relations among drug and other molecular or social entities is the main knowledge discovery pattern for the purpose of drug-related knowledge discovery. Computational approaches have combined the information from different sources and levels for drug-related knowledge discovery, which provides a sophisticated comprehension of the relationship among drugs, targets, diseases, and targeted genes, at the molecular level, or relationships among drugs, usage, side effect, safety, and user preference, at a social level. In this research, previous work from the BioNLP community and matrix or matrix decomposition was reviewed, compared, and concluded, and eventually, the BioNLP open-shared task was introduced as a promising case study representing this area.

• The Journal of Society for e-Business Studies
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• v.6 no.3
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• pp.63-80
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• 2001

The construction of the students knowledge in e-Learning systems, namely the student modeling, is a core component used to develop e-Learning systems. However, existing e-Learning systems have many problems to share the knowledge in a heterogeneous student model and a distributed knowledge base. Because the methods of the knowledge representation are different in each e-Learning systems, the accumulated knowledge cannot be used or shared without a great deal of difficulty. In order to share this knowledge, existing systems must reconstruct the knowledge bases. Consequently, we propose a new a Case Markup Language based on XML in order to overcome these problems. A distributed e-Learning systems fan have the advantage of easily sharing and managing the heterogeneous knowledge base proposed by CaseML. Moreover students can generate and share a case knowledge to use the communication protocol of agents. In this paper, we have designed and developed a CaseML by using a knowledge markup language. Furthermore, in order to construct an intelligent e-Learning systems, we have done our research based on the design and development of the intelligent agent system by using CaseML.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.9 no.2
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• pp.508-514
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• 2008

Knowledge management has been spread rapidly since Knowledge is regarded as a crucial asset in future. Once, Knowledge had been obtained freely but hard to be shared. Studies on importance and share of knowledge have been taking place and it leads to development of knowledge management systems. However, decision makers still have problems even though they are using knowledge management systems. Eventually, for the decision makers are needed concentrated knowledge which is unconscious and embodied, when they make a decision. This is wisdom. Thus, wisdom is superior to knowledge for the decision makers. There are some researches on wisdom but wisdom management were overlooked. This study presents differences between knowledge and wisdom with theoretical research and empirical analysis on the wisdom management.

• The Journal of Society for e-Business Studies
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• v.27 no.1
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• pp.95-109
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• 2022

A blockchain based platform can ensure data integrity, reliability, and security by applying distributed processing and encryption technology for transaction records. In the existing knowledge sharing platform, the created knowledge could not be shared or utilized sufficiently due to information asymmetry and centralization. However little research has been done so far on this area. In this study, we will examine case studies and development potentials for blockchain based knowledge sharing platforms based on previous studies of blockchain technology, token economy, knowledge sharing, motivation theory, and social exchange theory. Blockchain based platforms can contribute to the activation of knowledge sharing, by resolving information asymmetry, simplifying unnecessary work procedures through unified knowledge sharing flow and excluded centralization of authority by decentralization, and strengthening access and utilization of the knowledge produced by the platform.

• Asia pacific journal of information systems
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• v.30 no.3
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• pp.513-531
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• 2020

Online Word-of-Mouth communication, or eWOM, has dramatically changed the way people network, interact, and share knowledge. Studies have examined why consumers choose to share knowledge online, especially online product reviews, as well as the motivations of individuals to share product ideas online. However, the role of gender in shaping the motivation and types of knowledge shared online has been given little consideration. Using concepts from Social Exchange Theory and the Theory of Reasoned Action, we address this research gap by developing and testing a model of gender's influence on knowledge sharing in a social media context. A PLS analysis of survey data from 257 students indicates that reputation, altruism, and subjective norms are key motivators for knowledge sharing intention in social media. More importantly, that gender plays a moderating role within the motivation-knowledge sharing relationship. We also find that subjective norms have a greater impact on knowledge sharing with women than with men. Collectively, our research results highlight individualized factors for improving customer participation in external facing social media for marketing and product innovation.

• Proceedings of the CALSEC Conference
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• 1998.10a
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• pp.141-148
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• 1998

ㆍ Design Creation is More Efficient ㆍ Large Shared Body of Knowledge Created and Maintained...Reducing Training Time, Re-Training, Costs and Design Efforts. ㆍ Electronic Data Easier to Exchange and Integrate. An Overall Increase in Efficiency, Savings and Competitiveness Will be Achieved(omitted)

• The Journal of the Korea Contents Association
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• v.16 no.7
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• pp.398-409
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• 2016

The purpose of this was to analyze the effects of the knowledge management(human capital and structural assets) on organizational performance in nursing homes. The survey was conducted 299 workers in nursing homes in Chungcheongnam and Chungcheongbuk provinces. The collected data were analyzed by frequency analysis, descriptive statistics, reliability, correlation, and regression analysis using SPSS 21.0 program. The results showed that structural assets(shared culture and process) were most significantly influential factors on organizational performance and the effects of age, position, operating entities were significant. But the impact of human capital was not significant. From the above results, the cooperation between organizations is needed to actively share knowledge in order to increase the shared culture. In addition, the institutions should try to develop a variety of programs and to provide an environment where the members talk freely in order to increase the process level.

• Information Systems Review
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• v.18 no.3
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• pp.111-135
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• 2016

The major characteristic of open source software (OSS) is innovativeness. Innovativeness stems from the process of sharing and solving technical problems. This study analyzes the impact of voluntary participation and collaboration of OSS developers on sustained participation in the community based on organizational citizenship behavior and social capital theories. Based on Bolino et al. (2002) and Wasko and Faraj (2005), a research model and hypotheses are developed. A total of 152 OSS developers participated in the survey. The hypotheses are tested by LISREL modeling. The results of analysis show that royalty, social participation, and advocacy participation enhance or positively influence social capital. In addition, reciprocity and shared vision reinforce intention of sustained knowledge contribution. However, the result shows a statistically insignificant relationship between social participation and shared vision and between cohesiveness and intention of sustained knowledge contribution.

• Journal of Korea Society of Digital Industry and Information Management
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• v.6 no.3
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• pp.203-209
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• 2010

Since information systems are pervasive in the business and non-business areas, the issue of extending researches on information systems to knowledge systems and e-business systems is one of the most profitable topics of researches. We propose a historical, discontinuous changes introducing ambiguity in explaining and interpreting innovative nature of three paradigms of systems: information systems, knowledge systems, and e-business systems. Resorting to the historical perspective in developing ideas into meaningful themes, we proposed a discrete continuity in interpreting changes of paradigms of systems. Discrete continuity may be explained by ambiguously-shared meaningful perspectives applied to different paradigms of systems and interpretive elements of each system. The discrete continuity has been adopted to make ambiguity utilized have instrumental contribution in researches. The engrafted ambiguity in systems design, development, and use could have enduring instrumental value in interpreting the types or variants of systems in each paradigm of systems.

• Journal of Korean Academy of Nursing
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• v.44 no.1
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• pp.64-74
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• 2014

Purpose: This study was done to develop and implement the Nursing KMS (knowledge management system) in order to improve knowledge sharing and creation among clinical nurses in outpatient departments. Methods: This study was a methodological research using the 'System Development Life Cycle': consisting of planning, analyzing, design, implementation, and evaluation. Quality Function Deployment (QFD) was applied to establish nurse requirements and to identify important design requirements. Participants were 32 nurses and for evaluation data were collected pre and post intervention at K Hospital in Seoul, a tertiary hospital with over 1,000 beds. Results: The Nursing KMS was built using a Linux-based operating system, Oracle DBMS, and Java 1.6 web programming tools. The system was implemented as a sub-system of the hospital information system. There was statistically significant differences in the sharing of knowledge but creating of knowledge was no statistically meaningful difference observed. In terms of satisfaction with the system, system efficiency ranked first followed by system convenience, information suitability and information usefulness. Conclusion: The results indicate that the use of Nursing KMS increases nurses' knowledge sharing and can contribute to increased quality of nursing knowledge and provide more opportunities for nurses to gain expertise from knowledge shared among nurses.