• Knowledge Management Research
• /
• v.17 no.3
• /
• pp.117-136
• /
• 2016

External knowledge search is critical to expand the firm's knowledge base, increasing the innovation performance. However, prior literature has paid less scholarly attention on the boundary condition of the search activity. In particular, the few literatures on the contingency factors are either conceptual or focus on the firm characteristics such as resources and capability. In this regard, this study argues the negative moderating effect of knowledge protection and environmental uncertainty of a firm on the positive relationship between external knowledge search and innovation performance, because these contingency factors hamper the reciprocity and the mutual trust between the firm and its external partner that provides knowledge needed in the innovation process. The empirical analysis is based on the sample drawn from Korean Innovation Survey, provided by STEPI in Korea. The sample consists of 1,637 respondent firms that experienced product innovation during the survey period. We could find statistically supporting results for the negative moderating effect on the positive relationship between external knowledge search and innovation performance. This study extends the academic debate on the boundary conditions of external knowledge search and provides managerial implications for successful product innovation.

• The Journal of Information Systems
• /
• v.18 no.3
• /
• pp.135-154
• /
• 2009

As the knowledge is recognized as a core factor of organization's competitiveness and creation of value added, the importance of knowledge management is also increased. To achieve the successful knowledge management, it is important to establish strategy that consider essential purpose of knowledge management such as creating and sharing of knowledge resource, improving performance, and continuing organizational innovation within the organization and influence factor inside and outside of organization. Until now, however, the research for knowledge management strategy was mostly limited to the statistical analysis based on the unilinear causality model, and systematic access and analysis that consider interaction and feedback structure between factors. In this paper, we developed the novel decision-making framework for successful strategy establishment by applying the analytic network process(ANP). Specifically. we derive clusters and components to decide the interaction and feedback structure between the elements of knowledge management by literature studies. And we produced relative importance and preference of clusters, components and alternatives dealing with feedback structure through the survey of experts in the field or related one of knowledge management. In result of this study, we expect that it will help the knowledge officer to decide establishing knowledge management strategy.

• Knowledge Management Research
• /
• v.22 no.3
• /
• pp.75-89
• /
• 2021

A knowledge map should be able to support the referential navigation of knowledge inquiries, i.e., cross- and sequential searches and queries on content relevance-based associated knowledge. This study performs a user-oriented test to verify which type of knowledge map, hierarchical or networked, exhibits superior performance in supporting knowledge inquiries required for problem solving. Both the effectiveness identified by the correct answer rate and the efficiency identified by the number of completion time and reference documents have been revealed superior performance in the networked knowledge map. This study's result can underpin the basic steps to develop more user-friendly and reasonable knowledge services.

• Journal of Korea Technology Innovation Society
• /
• v.4 no.1
• /
• pp.64-78
• /
• 2001

The 21st century is characterized by knowledge-based economy or society. The most important features of this knowledge society are the close relationship between science and technology, and the birth of science-based technologies or industries. Bioindustry which is the core area in this era is a representative science-based industry(SBI). In SBIs including BT(biotechnology) and ICT(information and communication technology), the creation of scientific knowledge and the ability to capitalize on that are very important. The United States leadership in research across the spectrum of science and technology is the result of the success in both achieving high level of research and capitalizing on that enabled them to grow. Capitalization is the process that transforms the results of research into practical concrete national benefits. It is such a dynamic process that cant be clearly modeled. In this study, we propose the dynamic capitalization process for innovation of SBIs in terms of the fuel and engine and analyse our potential.

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2006.05a
• /
• pp.599-600
• /
• 2006

In order to promptly cope with the various requirements of consumers, the environment of product development is being globalized in manufacturing industrials. For this reason, it is necessary to build up an efficient collaborative system for communication between remote area designers. Specially, while Internet and information technologies were merged with the manufacturing or business process, the research for collaborative system has become an important issue. Therefore, we propose a Web-based Engineering Collaboration Framework using SPS(SharePoint Portal Server) which is an enterprise business solution that integrates information from various system into one solution through single sign-on and enterprise application integration capabilities, with flexible deployment options and management tool. Through a Web-based Engineering Collaboration Framework, designers can share knowledge assets and have a remote conference with others via web.

• Korean Management Science Review
• /
• v.18 no.1
• /
• pp.135-145
• /
• 2001

In recent environment of dynamic management, there is growing recognition that information and knowledge management systems are essential for efficient/effective decision making by CEO. To cope with this situation, we suggest the Data-Miming scheme as a key component of integrated information and knowledge management system. The proposed system measures business performance by considering both VA(Value-Added), which represents stakeholder’s point of view and EVA (Economic Value-Added), which represents shareholder’s point of view. To mine the new information & Knowledge discovery, we applied the improved genetic algorithms that consider predictability, understandability (lucidity) and reasonability factors simultaneously, we use a linear combination model for GAs learning structure. Although this model’s predictability will be more decreased than non-linear model, this model can increase the knowledge’s understandability that is meaning of induced values. Moreover, we introduce a random variable scheme based on normal distribution for initial chromosomes in GAs, so we can expect to increase the knowledge’s reasonability that is degree of expert’s acceptability. the random variable scheme based on normal distribution uses statistical correlation/determination coefficient that is calculated with training data. To demonstrate the performance of the system, we conducted a case study using financial data of Korean automobile industry over 16 years from 1981 to 1996, which is taken from database of KISFAS (Korea Investors Services Financial Analysis System).

• Journal of Korean Library and Information Science Society
• /
• v.33 no.1
• /
• pp.121-141
• /
• 2002

In this paper, I presented that transformation of library from the collection management to knowledge contents management along with paradigm shift under the web-based multimedia information environment is required. Effective web contents management call maximize users'satisfaction with personal customizing services for library users. Especially, contents customizing service using the metabrowsing service contributes to maximize the user'satisfaction by supplying core contents that the user seeks. In this paper, I studied the scheme of knowledge contents management to increase of user'satisfaction, concentrating on the management factors of web-based multimedia knowledge contents and service strategy.

• Journal of Korean Public Health Nursing
• /
• v.27 no.2
• /
• pp.304-312
• /
• 2013

Purpose: This study was conducted to compare health knowledge, health attitude and health behavior of middle school students based on the hours of health educational parameters imparted. Methods: After obtaining informed consent from participants, data were collected from 474 middle school students attending three different schools. The questionnaires were developed based on previous studies and four authorized health textbooks. Data were analyzed using $x^2$-test, t-test, ANOVA and ANCOVA. Results: The scores of 34-hour or 17-hour regular health education group were higher than those of 0-hour regular health education group in the areas of health knowledge and health attitude. In contrast the score of health behavior showed no significant difference among the three groups. Conclusion: The course of regular health education should be included as an essential one rather than as a selective option in the curriculum, and 34-hour regular health education is needed for all primary, middle, and high school students who are about to developing lifelong health habits, in order to have them gradually acquire sound education of health knowledge, health attitude, and health behavior.

• Journal of Physiology & Pathology in Korean Medicine
• /
• v.23 no.4
• /
• pp.745-750
• /
• 2009

The goal of this study is to examine on reasoning and search for construction of diagnosis ontology as a knowledge base of diagnosis expert system in oriental medicine. Expert system is a field of artificial intelligence. It is a system to acquire information with diverse reasoning methods after putting expert's knowledge in computer systematically. A typical model of expert system consists of knowledge base and reasoning & explanatory structure offering conclusion with the knowledge. To apply ontology as knowledge base to expert system practically, consideration on reasoning and search should be together. Therefore, this study compared and examined reasoning, search with diagnosis process in oriental medicine. Reasoning is divided into Rule-based reasoning and Case-based reasoning. The former is divided into Forward chaining and Backward chaining. Because of characteristics of diagnosis, sometimes Forward chaining or backward chaining are required. Therefore, there are a lot of cases that Hybrid chaining is effective. Case-based reasoning is a method to settle a problem in the present by comparing with the past cases. Therefore, it is suitable to diagnosis fields with abundant cases. Search is sorted into Breadth-first search, Depth-first search and Best-first search, which have respectively merits and demerits. To construct diagnosis ontology to be applied to practical expert system, reasoning and search to reflect diagnosis process and characteristics should be considered.

• The Journal of Korean Association of Computer Education
• /
• v.15 no.2
• /
• pp.19-28
• /
• 2012

Recent popularity of smart devices and social media seem to increase much interests on social learning, Despite of positive expectation on technology-based social learning, there are not many successful cases and practices of how to apply hands-on technologies and measure educational results. In this study, we tried to promote idea-sharing among learners in a classroom using web-based peer-review of assignments on a specific topic. Then we investigated effects of idea-sharing among learners in terms of individual knowledge construction. Experimental results show that idea-sharing promotes knowledge convergence and divergence, and then knowledge construction at learner's own.