• Knowledge Management Research
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• v.14 no.3
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• pp.87-100
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• 2013

As the external knowledge networks of firms have become more and more important to their product and service innovations, many global leading companies such as P & G, IBM, and Samsung Electronics have formulated and implemented their open innovation strategy. This study attempts to empirically analyze the effects of CEOs' supports for external knowledge networks, external knowledge network-oriented cultures and inter-organizational knowledge management systems as the major antecedents to external knowledge networks by using the data based on organizational members' perceptions about them. Based on 847 samples collected from employees in three companies in the medical, the construction and the IT service industries, this study performed a structural equation modeling (SEM) analysis about the effects of the antecedents to the external knowledge networks on product and service innovations through Partial Least Squares (PLS). The empirical findings of this study show that CEOs' supports for external knowledge network positively influence product and service innovations, partially mediated by external knowledge network-oriented cultures and inter-organizational knowledge management systems. And they also show that external knowledge network-oriented cultures and inter-organizational knowledge management systems have a positive effect on product and service innovations, respectively, partially mediated by external knowledge networks. With these new findings, academic and practical implications are discussed.

• Korean Management Science Review
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• v.12 no.3
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• pp.135-161
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• 1995

This paper is concerned with a conceptual design of a knowledge-based modeler for network analysis. The "knowledge-based modeler" approach is suggested as a method for incorporating the user's qualitative knowledge and subjective decison in the course of the mathematical modeling and the subsequent solution procedure. The submodules of the proposed modeler such as database, model/algorithm base and functional knowledge bases are identified and the flows of information between the submodules are sequentially defined. A prototype system is implemented for experimental purpose by using the application software GURU.ware GURU.

• Hwankyungkyoyuk
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• v.20 no.1
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• pp.62-72
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• 2007

In spite of the perceived importance of sustainable development in society, we still fails to reflect consistently our best understandings about the sustainable development and education for sustainable development. The purpose of this study is to inquire into the orientation of education for sustainable development in the 21st Century knowledge-based society. The results of this study can be summarized as follows. First, it is necessary to provide newly defined sustainable development which enables us to transform unsustainable way of life into environmentally sound and sustainable development. Education for sustainable development is defined as a basic education that have a mature understanding among the human, nature and wisdom of life. Second, we should emphasis on a system thinking, basic communication in order to encourage education for sustainable development as a learning strategy. Third, we should suggest both individual and community learning education for sustainable development. Finally, we develope knowledge system of sustainable development in accordance with the theories of knowledge management. In conclusion, it is necessary to approach education for sustainable development in the context of the knowledge-based society and the information age. It enables us enhance a new awareness and attitudes towards sustainable development. Furthermore, it is expected to develop an education program for the sustainable development of understanding.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2004.10a
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• pp.1202-1206
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• 2004

In the future, a machine-tool will be more improved in the form of a knowledge evolution based device. In order to develop the knowledge evolution based machine-tool, this paper proposes the structure of knowledge evolution and the scheme of a dialogue agent among agent-based modules such as a sensory module, a dialogue module, and an expert system. The dialogue agent has a role of interfacing with another machine for cooperation. To design of the dialogue agent module in M2M(Machine To Machine) environment, FIPA-OS and ping agent based on FIPA-OS are analyzed in this study. Through this, it is expected that the dialogue agent module can be more efficiently designed and the knowledge evolution based machine-tool can be hereafter more easily implemented.

• Journal of the Korean Society for information Management
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• v.15 no.3
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• pp.133-150
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• 1998

For the purpose of new‘organizational knowledge centric knowledge management’, this paper proposes the knowledge creating organizational memory which shows the knowledge creation in organization according to the dialectical circulation between the domain knowledge and the task knowledge, based on the Yin Yang theory. This paper defines two kinds of organizational knowledge such as the domain knowledge and task knowledge and designs them in the pursuit of its lifecycle. Knowledge creating organizational memory is designed to three knowledge components that circulate through the domain knowledge and the task knowledge according to the object-oriented methodology. Organizational knowledge is designed into the graphical structure of ( i ) knowledge ( ⅱ ) relation between knowledge objects and ( ⅲ ) degree of relation, which receive the legacy of organizational knowledge such as data schema, process model and knowledge base. This design of organizational knowledge can be applied to CBR(Case Based Reasoning), one of knowledge mining tools to create new organizational knowledge.

• Journal of Intelligence and Information Systems
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• v.9 no.2
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• pp.19-38
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• 2003

In this research, we propose the mechanism to develop self-evolving expert systems (SEES) based on data mining (DM), fuzzy neural networks (FNN), and relational database (RDB)-driven forward/backward inference engine. Most researchers had tried to develop a text-oriented knowledge base (KB) and inference engine (IE). However, this approach had some limitations such as 1) automatic rule extraction, 2) manipulation of ambiguousness in knowledge, 3) expandability of knowledge base, and 4) speed of inference. To overcome these limitations, knowledge engineers had tried to develop an automatic knowledge extraction mechanism. As a result, the adaptability of the expert systems was improved. Nonetheless, they didn't suggest a hybrid and generalized solution to develop self-evolving expert systems. To this purpose, we propose an automatic knowledge acquisition and composite inference mechanism based on DM, FNN, and RDB-driven inference engine. Our proposed mechanism has five advantages. First, it can extract and reduce the specific domain knowledge from incomplete database by using data mining technology. Second, our proposed mechanism can manipulate the ambiguousness in knowledge by using fuzzy membership functions. Third, it can construct the relational knowledge base and expand the knowledge base unlimitedly with RDBMS (relational database management systems) module. Fourth, our proposed hybrid data mining mechanism can reflect both association rule-based logical inference and complicate fuzzy relationships. Fifth, RDB-driven forward and backward inference time is shorter than the traditional text-oriented inference time.

• Knowledge Management Research
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• v.9 no.3
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• pp.43-57
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• 2008

This study examines the impact of knowledge processes (KP) on the performance of knowledge management systems (KMS). It posits that task needs and available functionality of technology existing in an organization could influence the usability of KP and the KMS performance. A firm-level structural model was developed based on data collected from corporate KM users. Survey-based research was carried out to test this model. Following questionnaire development, validation, and pretest with a pilot study, data were collected from 886 knowledge management (KM) users including directors, managers, and workers in a South Korea-based company, Korea Asset Management Corporation (KAMCO), to measure the task needs and available functionality of technology to improve the KMS performance. Results show that the matching between the two factors-technology and task-had a significant influence on the usability of KP and the KMS performance, and a better usability of KP has positive impact on the KMS performance. Implications on KM practices and KMS designs are also discussed.

• Knowledge Management Research
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• v.11 no.2
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• pp.133-152
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• 2010

This paper suggests a typology of the modes of collaboration for scientific and technological knowledge production and sharing (STKPS) based on knowledge communication types, including organizational factors, communication channel, intensity, and decision-making, that affect STKPS processes. It is mainly designed to rearrange ideas about collaboration drawn from the literature in order to develop a conceptual framework for categorizing modes of collaboration based on how communication patterns shape four modes of collaboration. In the conclusion and discussion part, practical implications, limitations of this study, and further studies are discussed. In particular, the practical implications propose communication patterns suitable for five stages of collaboration processes. As the collaboration initiation or set-up stage is critical, extensive face-to-face communication is recommended in the auditing stage. In the execution stage, media-based communication can be actively utilized, because collaborators will mostly exchange explicit codified knowledge supported by IT. The evaluation and reinforcement stages concentrate on tacit knowledge exchange and explicit knowledge evaluation, which requires intensive face-to-face communication including negotiations for evaluating collaboration outcomes and partnership.

• Journal of the Korean Society for Library and Information Science
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• v.40 no.1
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• pp.397-416
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• 2006

This study is focusing on the establishment of knowledge management framework of library, supposed that library becomes an integrated knowledge system offering various types of knowledge. Knowledge management of library based on knowledge ecology justifies the logical and physical roles of library, as the sustainer of the knowledge ecosystem in which all the types of social factors consisting of knowledge ecosystem are Interacting to continuously circulate knowledge. The library as the center of knowledge ecosystem should make sure the systemized environment in which knowledge producer is supported to timely distribute knowledge to knowledge consumer through information professional accomplishing the role of knowledge facilitator.

• Knowledge Management Research
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• v.1 no.1
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• pp.81-90
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• 2000

This study proposes the knowledge discovery process for the effective mining of knowledge on the web. The proposed knowledge discovery process uses the Prior knowledge base and the Prior knowledge management system to reflect tacit knowledge in addition to explicit knowledge. The prior knowledge management system constructs the prior knowledge base using a fuzzy cognitive map, and defines information to be extracted from the web. In addition, it transforms the extracted information into the form being handled in mining process. Experiments using case-based reasoning and neural network" are performed to verify the usefulness of the proposed model. The experimental results are encouraging and prove the usefulness of the proposed model.