• Journal of Korea Society of Digital Industry and Information Management
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• v.5 no.1
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• pp.141-153
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• 2009

There have been a lot of researches about KM(knowledge management) in domestic and foreign countries since 1990. Especially, there have been a lot of researches about enabler of KM, knowledge asset etc. but these are insufficient researches about performance measure of knowledge management considering maturity of KM. In addition, performance measure and maturity considering enabler to manage successful knowledge as well as knowledge asset which can be the following result are not the sufficient situation. Therefore, this study makes developmental levels of the inside and outside of the corporate by observing previous studies about the maturity of knowledge management and classifies enabler of knowledge management and measure item about knowledge asset by level, considering the features of each developmental level. And it is designed to propose maturity measure methods considering maturity level of actual knowledge management item by drawing indicator to measure classified items.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.448-455
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• 2001

Recently, many enterprises have attempted to capitalize knowledge assets on data warehouse (DW). It has been recognized as strategic core process to create corporate competitive advantage and implement enterprise e-biz strategies. However, most approaches to represent knowledge and decision process have limits in considering various knowledge types, their relationships and continuity in knowledge formulation. In addition, they are so inclined to one side such as concept-oriented frameworks or technology-oriented ones. They lack universal and wide-ranging features. This paper presents a comprehensive methodology to accumulate knowledge capital on DW via a properly grained hypermedia model. The methodology consists of three phases: knowledge requirement elicitation, hypermedia modeling, and system implementation. A real-life case for medical DW development is presented to demonstrate the usefulness of the proposed methodology. This methodology is effective when an organization accumulates knowledge assets to put the corporate e-biz or cre-biz strategy into practice.

• Journal of the Korean Operations Research and Management Science Society
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• v.31 no.4
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• pp.89-103
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• 2006

The purpose of this study is to examine influential factors in knowledge-sharing and to analyze how these factors influence the performances of knowledge management (KM) in public enterprises. Influencing factors of KM in this study include evaluation-compensation, knowledge management system, learning culture, and organizational structures. As a result, analysis turned out to be the KM system and organizational structure directly effects knowledge-sharing and KM performances. And knowledge-sharing performed as mediating effect between independent variables such as compensation system and organization structure, and dependent variable like KM performance. Therefore, this study concludes that each factor of evaluation-compensation system and learning culture has directly influenced to knowledge-sharing, yet KM performances have Indirectly influenced.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.11 no.1
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• pp.175-201
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• 2000

The primary purposes of this study are to introduce knowledge management as a new paradigm and understand the knowledge management system that assists a company and its organization on the whole in adopting knowledge management. In order to do that, the studies associated with knowledge management are analyzed. Then, the concept of knowledge and knowledge management are examined. In addition. knowledge management process. tools, resources and services are explored as key components in designing a system. This study can be utilized as a basic material when knowledge management programs are designed.

• Journal of the Korean Society for information Management
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• v.21 no.2
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• pp.153-167
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• 2004

The purpose of this study is to discuss ′records′ as core resources for knowledge management and to suggests the directions for developing integrated knowledge management systems based records management. This present paper begins with analyzing concept and structure of records in light of knowledge management, and identify the importance of records management in developing knowledge management systems by substituting evidence axis in Upward′s "Records Continuum Model" for knowledge management. And this study tries to identify critical aspects regarding transfer of records to knowledge system by analyzing the level of records. Based on these analyses, it suggests a directions for developing records based-knowledge management systems.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.21 no.48
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• pp.213-222
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• 1998

The objective of this study is to develop a knowledge-based scheduler applying simulation and knowledge base. This study utilizes a machine induction to build knowledge base which enables knowledge acquisition without domain expert. In this study, the best job dispatching rule for each order is selected according to the specifications of the order information. And these results are built to the fact base and knowledge base using the attribute-oriented induction method and simulation. When a new order enters in the developed system, the scheduler retrieves the knowledge base in order to find a matching record. If there is a matching record, the scheduling will be carried out by using the job dispatching rule saved in the knowledge base. Otherwise the best rule will be added to the knowledge base as a new record after scheduling to all the rules. When all these above steps finished the system will furnish a learning function.

• Proceedings of the Korea Society for Simulation Conference
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• 1994.10a
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• pp.12-12
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• 1994

Simulation output knowledge analysis is one of problem-solving and/or knowledge adquistion process by investgating the system behavior under study through simulation . This paper describes an approach to simulation outputknowldege analysis using fuzzy neural network model. A fuzzy neral network model is designed with fuzzy setsand membership functions for variables of simulation model. The relationship between input parameters and output performances of simulation model is captured as system behavior knowlege in a fuzzy neural networkmodel by training examples form simulation exepreiments. Backpropagation learning algorithms is used to encode the knowledge. The knowledge is utilized to solve problem through simulation such as system performance prodiction and goal-directed analysis. For explicit knowledge acquisition, production rules are extracted from the implicit neural network knowledge. These rules may assit in explaining the simulation results and providing knowledge base for an expert system. This approach thus enablesboth symbolic and numeric reasoning to solve problem througth simulation . We applied this approach to the design problem of broadband communication network.

• Journal of the Korea Society of Computer and Information
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• v.23 no.12
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• pp.195-201
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• 2018

This study is attempted to demonstrate the structure of the influencing factors on the performance of services of knowledge based service firms. In the model presented, the structure is that service performance in knowledge-based services are affected by the strategic utilization of knowledge resources and service orientation factors of the service organization. And the service performance are also affected in which the systemization of service processes and customer satisfaction play a mediating role. As an analysis result of examining 148 practitioners engaged in the knowledge service industry, it is necessary to increase the satisfaction of external customers in order to improve service performance in a knowledge-based service organizations. This can be achieved by increasing the satisfaction of internal customers. In addition, for this structure to be successful, the service production process to be provided to the customer must be enhanced. The service production process has been found to be an important factor influencing the internal customer satisfaction and service delivery process, especially in the use of knowledge resource, and customer oriented service among service orientation factors.

• Knowledge Management Research
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• v.15 no.4
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• pp.105-126
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• 2014

Knowledge integration is becoming a primary function of improving organizational capabilities and performance in today's convergence paradigm. The knowledge integration capability of employees has increasingly been regarded as a critical source for developing new products and services. This study investigates the influential factors of employees' knowledge integration capability and its effects. A theoretical research model was developed based on the socio-technical perspective and information processing theory. The model includes teamwork quality, expertise, IT support, and knowledge complexity as the primary influential factors of employees' knowledge integration capability. A large-scale survey was conducted for gathering data (a total of 316 samples from 141 organizations) to test the proposed model. The test results of the hypotheses show that expertise and knowledge complexity are the significant influential factors of employees' knowledge integration capability, and also the capability has a positive effect on the knowledge creation performance of employees. Our findings contribute to the development of initiatives for promoting employees' knowledge integration capability, especially in knowledge intensive organizations focusing on convergence products and services.

• Knowledge Management Research
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• v.5 no.2
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• pp.67-98
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• 2004

New knowledge is created through the dynamic interaction of knowledge that depends largely on a social context within the organization. Social processes influence the nature of knowledge and learning. This paper is rooted in the concept of social capital. Social capital theory emphasizes the importance of social relationship. Using social capital theory, this paper suggests three factors that must be satisfied for the development of knowledge combinative capability. The first factor is that the opportunity exists to make the exchange or combination of knowledge. The second factor is that people is motivated for the creation of new knowledge. The third factor is that people must share the common knowledge. This paper examines the change case of KIPO (Korean Intellectual Property Office). This case provides evidence that the three factors can develop social relationship, and build knowledge combinative capability. The man finding from this research is that social factors play an important part in the creation of knowledge, and processes of knowledge exchange and combination heavily rely upon social patterns, practices and processes in ways which emphasize the value and importance of collective action and knowledge sharing. This research may have several implications for the development of the knowledge creation mechanisms.