• International Journal of Contents
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• v.12 no.4
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• pp.31-44
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• 2016

Knowledge creation and management are regarded as critical success factors for an organization's survival in the knowledge era. As a process of knowledge acquisition and sharing, organizational learning mechanisms (OLMs) guide the learning function of organizations represented by its different learning activities. We examined a variety of learning processes that constitute OLMs. In this study, we aimed to capture the process and framework of OLMs and knowledge sharing and acquisition. Factors facilitating OLMs were investigated at three levels: individual, group, and organizational. The concept of an OLM has received some attention in the field of organizational learning, however, the relationship among the factors generating OLMs has not been empirically tested. As part of the ongoing discussion, we attempted a systemic approach for OLMs. OLMs can be represented by factors that are inherent to the organization's system; therefore, prior to empirically testing the OLM generating factor(s), evaluation of its organizational integration is required to determine effective treatment of each factor. Thus, we developed a framework to manage knowledge and proposed a method to numerically evaluate factors influencing the OLMs. Specifically, composite importance (CI) of the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method was applied to explore the interaction effect of these factors based on systemic approach. The augmented matrix thus generated is expected to serve as a stochastic matrix of an absorbing Markov chain.

• Journal of Korean Library and Information Science Society
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• v.30 no.2
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• pp.155-178
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• 1999

Ciatation analysis is a information analysis method based on the phenomenon of citing previous documents in the source document. There are many well-known studies exploring citation analysis and it applications. This paper does not attempt to review this extensive area of applications, but to demonstrate the sociological aspect of citation analysis. Specifically, this paper have reviewed the citation analysis as a quantitative method for the studies of sociology of knowledge. For this, I have described various basic methods such as citation behavior, citation count, impact factor, citation relationship etc. And I have classified into four applied areas of sociology of knowledge; (1) flow of knowledge resources, (2) evaluation of knowledge resources, (3) evaluation of knowledge community, and (4) utilization in terms of knowledge policy. Finally, I have clarified the some limitations and shortcomings of citation analysis that have addressed by citation and citation analysis itself.

• Journal of Information Technology Applications and Management
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• v.28 no.6
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• pp.117-132
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• 2021

Based on the core value of the Q&A community, the contribution of knowledge and information has a great impact on users' community evaluation. As a small social group, the relationships and interactions among community members are quickly formed through information technology. As such, the cognitive evaluation of the relationship between community members will have an impact on the intention of information contribution. This research builds on the previous research based on the social exchange theory and establishes a dual model of swift guanxi in examining the relationship between guanxi and continuous knowledge contribution. In the current study, 305 survey questionnaires were used and 249 valid questionnaires were used for analysis. The analysis results are as follows: First, information support has a positive impact on dedication-based swift guanxi. While hypothesis between information support and constraint-based swift guanxi was not be supported. Second, emotional support has a positive impact on the formation of swift guanxi from a dual perspective. Third, the swift guanxi from the dual perspective has a positive impact on the intention of continuous knowledge contribution. Finally, although personal involvement has an adjustment effect, it is a downward adjustment effect, hypotheses are not supported. The current study offers theoretical and practical implications in field of knowledge management, specifically knowledge contribution in the virtual community.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.22 no.1
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• pp.301-331
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• 2011

This study aims at investigating ways to enhance the efficiency of knowledge management systems in research institutes. This study analyzes the current state of knowledge management systems, changes in users' perception, and the use of knowledge management systems in Daedeok Science Park, and suggests improvement measures. This study reviews previous studies and employs a survey for case studies. This study also conducts log data analysis of knowledge management systems to investigate the current state of system use. The questionnaire asks about the interest in knowledge management, evaluation and rewards of knowledge contribution, quality of knowledge, and the level of utility. This study tests hypothesis and analyzes the frequencies. This study finds that the interest and use of knowledge management system have been remarkably dropped, and also reveals that maintaining reward systems and diverse rewarding systems are required.

• Proceedings of the Technology Innovation Conference
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• 1999.06a
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• pp.85-97
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• 1999

Being the new paradigm of "knowledge based economy", knowledge asset get to be the key to evaluate the firm's value. For a instance, Scandia firstly informed the intellectual capital report with its own financial statements in 1994. Some financial institutions have emphasized the roles of knowledge assets in the evaluating firm's value, too. But the concept of knowledge asset is so extensively defined that the result of evaluation is not as much reliable as financial statements. As previous studies examined the firm-specific cases, the sectoral pattern of knowledge asset has been ignored and it cause the difficulty in the empirical study. Moreover, the objectivity of study is ambiguous. Therefore, we regards knowledge asset as a technological knowledge asset. Which is related to R&D(research & development) and technology. Because this definition is more measurable than others and can play a frontier role in evaluating the knowledge asset. We extract the criteria related to the technological knowledge asset through the survey of 'Scandia' and other previous studies and add other criteria, which explain the Korean-specific environments. We gather data from "Technological Innovation"(STEPI, 1997, 1999) and "The bibliography of Korean R&D institutes"(KITA,1998) and "the survey of listed company"(Daewoo Securities, 1998. 1999). As the results of empirical study, the variables which explain the financial value of firms do not reflect the 'technological knowledge asset' well. It results from the factors as followings. Firstly, instead of stock price the proxy measurement related to 'knowledge asset' is needed. Secondly, the sample is biased to the large scale firms so we'll collect samples more broadly. Finally, the concept of 'technological knowledge asset' is too narrow to explain the value of firm. We expect the result of this empirical study gives contribution to the evaluation of firms' value more exactly.

• Journal of Distribution Research
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• v.4 no.2
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• pp.93-115
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• 1999

The main purpose of this study is to develop a framework of knowledge management and knowledge management systems(KMS) for retail firms. The framework of knowledge management developed in this paper is based on six components: knowledge worker, KMS, leadership of CEO, knowledge management strategy, culture, evaluation and reward systems. The knowledge management process can be divided into four stages: preparation stage, initiation stage, expansion stage and completion stage. The major activities performed to implement effective knowledge management are also identified for each stage. The knowledge base of KMS for retail firms should store three types of knowledge: knowledge for management activity, knowledge for management activity, knowledge for strategic analysis, and knowledge for problem solving. Finally, the technical characteristics of KMS are also examined in terms of information technology.

• Trans-
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• v.14
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• pp.65-92
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• 2023

The knowledge of the narrative agent not only constitutes the content and meaning of the narrative itself, but is also closely related to the emotional response of the recipient. Also, the disparity of knowledge between narrative agents is an important factor in making a narrative richer and more interesting. But It tends to be treated as a sub-topic of narration theory or genre/style studies rather than an independent subject of narrative studies or criticism. In this paper, I propose a model that can systematically and quantitatively analyze the knowledge of narrative agents. The proposed model consists of the knowledge structure that represents a narrative, the knowledge state that expresses the knowledge of narrative agent as a degree of belief, and the knowledge flow that means changes in the knowledge state according to the development of events. In addition, the formal notation of the knowledge structure and a probabilistic inference model that could obtain the state of knowledge were proposed, and the knowledge structure and knowledge flow were analyzed by applying the model to the actual narrative. It is expected that the proposed model will be of practical help in the creation and evaluation of narratives.

• Journal of the Korean School Mathematics Society
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• v.6 no.1
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• pp.27-43
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• 2003

This paper introduces some theories that can be effectively applied for the development of teaching and learning mathematics using fuzzy theory developed by Zadeh who defined fuzzy set and knowledge space by Doignon and Falmagne. Especially, we expect that two theories mentioned above are expected to solve the situation that could not be taken care of the present evaluation method.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1995.04a
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• pp.79-90
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• 1995

The material handling equipment selection, that is a key task in the material handling system design, is a complex, difficult task, and requires a massive technical knowledge and systematic analysis. It is invaluable to justify the selected equipment model by the performance evaluation before its actual implementation. This paper presents an intelligent knowledge-based expert system called "IMESE" created by authors, for the selection and evaluation of material handling equipment model suitable for movement and storage of materials in a manufacturing facility. The IMESE is consisted of four modules: a knowledge base to select an appropriate equipment type, a multiple criteria decision making procedure to choose the most favorable commercial model of the selected equipment type, a database to store the list of commercial models of equipment types with their specifications, and simulators to evaluate the performance of the equipment model. The whole process of IMESE is executed under VP-Expert expert system environment.vironment.

• International conference on construction engineering and project management
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• 2005.10a
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• pp.1058-1063
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• 2005

More and more organizations in construction industry adopt knowledge management system (KMS) to facilitate process of creating, acquiring, capturing, sharing, and using knowledge so as to improve the competitiveness, productivity and efficiency of their organization. In spite of the tremendous efforts devoted to KMS, the return of investment on KMS is usually a black box to the investor due to the lack of a systematic framework for performance evaluation of the KMS. This paper aims at fulfilling such need. A conceptual performance evaluation framework is proposed based on Balanced Scorecard (BSC) method. Then a preliminary case study is conducted to assess the applicability of the proposed framework in an A/E consulting firm to evaluate the performance of KMS.