• Journal of the Korean Society for information Management
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• v.20 no.4 s.50
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• pp.211-232
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• 2003

This study introduces the integration-style knowledge management of digital libraries in extended library concept, for integrated knowledge system which can provide various types of knowledge, and presents the knowledge-rump-type knowledge management model. By applying the model to the cases of several institutions, the processes and levels of extension are analyzed, and the important tasks for activating knowledge management are suggested. The knowledge pump embodies ideal roles of the digital libraries that activate the acquisition and distribution of knowledge. It is significant that the digital libraries, which used to remain as a simple application of information technology, not only present logical basis and way for extending their roles and areas, but also explain the implementation methodologies.

• Asia pacific journal of information systems
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• v.10 no.4
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• pp.57-75
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• 2000

Most current literature on knowledge and technology transfer(Appropriability Model, Dissemination Model, and Knowledge Utilization Model), describe the process of transfer in details, but has limitation in terms of their application in contemporary high-tech industries since most studies have not provided plausible explanation on levels and factors affecting transfer of knowledge and/or technology. To overcome these limitations, the four levels of knowledge and technology transfer are suggested: Knowledge and Technology Creation(Level I), Sharing(Level II), Implementation(Level III), and Commercialization(Level IV). Comprehensive literature identifies sixteen variables affecting the process and results of knowledge and technology transfer. The survey results show four key factors in knowledge and technology transfer: Communication, Distance, Equivocality, and Motivation, Communication refers to the degree to which a medium is able to efficiently and accurately conveys task-relevant information and media while distance involves both physical and cultural proximity. Equivocality refers to the degree of concreteness of knowledge and technology to be transferred while motivation involves incentives for and the recognition of the importance of knowledge and technology transfer activities. Further analysis shows that there are four distinctive clusters and they show very contrasting characteristics in terms of four key factors. The careful mapping of the four clusters on the four key factors show very informative knowledge and technology transfer patterns, the Knowledge and Technology Transfer Grid. Finally, actions to increase communication interactivity and motivation, and to reduce cultural distance and equivocality are suggested.

• Knowledge Management Research
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• v.13 no.1
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• pp.25-39
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• 2012

According to knowledge-based view, knowledge is an essential strategic resource for a firm to retain sustainable competitive advantage. As knowledge is created and disseminated throughout the firm, the firm can enhance its capability to respond to new and unusual situations. Thus, a lot of companies actively manage their knowledge and intellectual capital. Especially, knowledge management (KM) activities in R&D organizations play a critical role in enhancing R&D performances such as innovation capability. In this regard, this study develops a theoretical model to examine the effects of R&D KM activities on R&D performance. The research model posits KM participation, knowledge management system (KMS) use, and community of practice (CoP) as the main activities of R&D KM. This study proposes that R&D shared knowledge quality and R&D KM satisfaction play a mediating role between R&D KM activities and its performance. The proposed research model was tested by using survey data collected from 248 employees in an R&D department. PLS (partial least squares) was employed for the analysis of the data. The findings of this study showed that R&D KM activities play a significant role in enhancing R&D performance. The findings revealed that R&D shared knowledge quality is not significantly related to R&D performance, while R&D KM satisfaction significantly influences R&D performance. The theoretical and practical implications of the findings were described.

• Knowledge Management Research
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• v.19 no.2
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• pp.47-68
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• 2018

Business environment is shifting from industrial economy to knowledge based economy. Enterprises go through numerous trials for successful management in changing environment. Along with trial tests, research area has been growing simultaneously. Unlike initial research which focused on basic concepts such as: form of business model and success points. Current research emphasizes on actualization of business that enterprises plan, which brought academic research with perplex form of knowledge structure. On the other hand, there is limitation in understanding business model systematically due to preceding research primarily centered on analyzing definition and case study. In order to analyze knowledge structure, this study utilized social network analysis based on "relationship". For the analysis, 13,412 keywords were extracted from 36years worth of article or research related to business model stored in SCOPUS database. From the analysis, it was shown core research subject was INNOVATION and the number of co-authors has increased due to the academic diversity. Business model research is divided into five sub-categories (E-commerce, SMEs, sustainability, open-source, and e-book). Through cognitive map analysis on each of research characteristics of sub-category, it has shown that E-commerce, SMEs, sustainability, and open-source are core categories.

• The Journal of Information Systems
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• v.28 no.4
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• pp.377-401
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• 2019

Purpose The purpose of this study is to investigate the effects of learning expectation and perceived knowledge sharing on user satisfaction and IS continuance in the Korean Army which is currently using the Regiments' Information System to help their Integrated Administration Management. Based on both the Information System(IS) Continuance Model and IS Success Model, this study also examine the role of system quality on user satisfaction. We develop a research model(structural equation model) and its hypotheses that learning expectation, perceived knowledge sharing, and system quality increase users' satisfaction, which leads to IS continuance. The effect of learning expectation on perceived knowledge sharing is also hypothesized. Design/methodology/approach Online Survey using e-mails was administered to test our research model and associated hypotheses. Among the 360 e-mail letters including our survey questionnaire, 285 responses were collected via e-mails. Meaningful 225 cases were analyzed for our study. SPSS Statistics 24.0 and SmartPLS 3.0 were used to analyze both measuremant test and hyotheses test by using the data set. Findings Survey results show that learning expectation(confirmation variable), learning expectation, perceived knowledge sharing(a perceived usefulness variable), and system quality(a system characteristic) each increases user satisfaction, which leads to IS continuance, under the control of the effect of habit to use information systems. Learning expectation also has a positive influence on perceived knowledge sharing. Theoretical and practical implications are presented.

• Journal of Distribution Science
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• v.21 no.5
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• pp.63-73
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• 2023

Purpose: This study proposes a model for future research agendas on knowledge management activities as a source of increasing sustainable competitive advantage. Based on the literature, the role of knowledge management in sustainable competitive advantage does not necessarily have a significant effect but involves other variables. For this reason, future research proposals on the role of knowledge management on sustainable competitive advantage and other relevant variables need to be carried out. Research design, data, and methodology: This research uses a literature study. The model development stage is (1) relevant research studies, (2) identification of relevant theories and related variables, (3) developing and making a hypothesis (4) proposed model. Results: From the literature study, it was found that knowledge management plays a role in increasing managerial competence, market orientation, and innovation. Furthermore, managerial competence, market orientation, and innovation significantly affect sustainable competitive advantage. However, other studies have found a different relationship. Conclusions: This study proposes a research model on the role of knowledge management, managerial competence, market orientation, and innovation to improve sustainable competitive advantage. The study results can be used for further research based on the proposed model and as a reference for company owners and management to increase competitive advantage.

• Journal of Information Processing Systems
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• v.13 no.1
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• pp.57-67
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• 2017

In this paper, Atanassov's intuitionistic fuzzy set theory is used to handle the uncertainty of students' knowledgeon domain concepts in an E-learning system. Their knowledge on these domain concepts has been collected from tests that were conducted during their learning phase. Atanassov's intuitionistic fuzzy user model is proposed to deal with vagueness in the user's knowledge description in domain concepts. The user model uses Atanassov's intuitionistic fuzzy sets for knowledge representation and linguistic rules for updating the user model. The scores obtained by each student were collected in this model and the decision about the students' knowledge acquisition for each concept whether completely learned, completely known, partially known or completely unknown were placed into the information table. Finally, it has been found that the proposed scheme is more appropriate than the fuzzy scheme.

• Journal of the Korean Operations Research and Management Science Society
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• v.14 no.2
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• pp.27-42
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• 1989

REA (Restricted Entity Aspect) model is a knowledge representation model to classify the aspect type, the EA model component, into five aspects (IS-A-aspect, A-PART-OF aspect, attribute aspect, role aspect, and operation aspect). EATPS, the knowledge representation system, consists of user interface module, knowledge creation module, instance management module, schema management module, and integrity checking module. EATPS creates and manages interactively REA model based knowledge base. This paper shows the structure and functions of EATPS, the design and interactive construction of the knowledge definition language EAKDL, the functions and algorithm of class creation module, and the functions and algorithm of instance creation module to include inheritance inference mechanism.

• IE interfaces
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• v.13 no.1
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• pp.17-28
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• 2000

As knowledge has been recognized as a new resource in gaining organizational competitiveness, Knowledge Management (KM) is suggested as a method to manage and apply knowledge for business management. KM research, however, has focused on identifying, storing, and distributing the transaction-related knowledge in an organization. There has been little research on applying the knowledge to decision-making or strategy development that is the main task of business management. The application of knowledge to decision making has higher impact on organizational performance rather than just the knowledge management for process transaction. In this research, we suggest System Dynamics (SD) for the knowledge-based decision-making. Based on the modeling method of SD, we can translate partial and implicit knowledge resident in individual's mental model into organized explicit knowledge. The simulation test of the organized knowledge model enables decision-makers to understand the structure of the target problem and its behavior mechanism, which facilitates effective decision-making. We will compare the proposed method and other KM methods and discuss this research based on the application case to a real telecommunication company.

• Knowledge Management Research
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• v.3 no.2
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• pp.31-48
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• 2002

Recent trend of business is characterized by a recognition of importance of knowledge asset. Especially, this phenomenon is receiving more momentum as our society goes digital rapidly. However, most of literature on knowledge management is based on knowledge circulation from the corporate point of view, not from individual viewpoint. In this regard, this paper is concerned with proposing knowledge circulation process and its efficiency from the individual perspective. We adopted structural equation model or SEM to prove the statistical validity of our research framework. Eight hypotheses were built and tested empirically, leading to the fact that the knowledge utilization and sharing of individuals have a positive impact on the knowledge management efficiency.