• Knowledge Management Research
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• v.3 no.1
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• pp.93-106
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• 2002

Knowledge management is a recent area in business administration that deals with how to leverage knowledge as a key asset and resource in modern organizations. Also, Knowledge systems are the single most important industrial and commercial offspring of the discipline called artificial intelligence. A Case Based Reasoning(CBR) system solves new problems by recalling adapting previous solutions. This paper presents the results of a recent empirical study. Furthermore this study proposes a CBR Methodology designed to manage knowledge of Hana company under e-business.

• Journal of the Economic Geographical Society of Korea
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• v.11 no.3
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• pp.362-374
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• 2008

Under a knowledge-based economy, regional innovation policies have been treated as important regional policies. In this paper, the author attempts to argue the possibilities and problems for regional innovation in Japan. For this purpose, the author has investigated the development of industry-academy-government collaboration in Ube City which has been designated as one of a number of knowledge cluster projects by the National Government. Ube City is a typical company town and the regional system had been characterized by the vertical relationship between a core company and it's subcontractors. Since the late 19905, the local national university has played an important role to promote cooperation with various types of enterprises, research institutions, and local governments. As such horizontal relationships have become more influential, it is necessary to overcome the gap in interest and knowledge base between the core company and the local university.

• Knowledge Management Research
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• v.18 no.1
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• pp.159-176
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• 2017

Recently, the popularity of smartphones has led to a dramatic increase in the frequency of use of App(Application) services. LBS (Location-Based Service) App service adopts various methods such as push marketing and useful information by region through providing location-based service based on the location of the consumer. In particular, an enterprise or an App management company can provide necessary information to the consumer through the necessary information among the customer related knowledge information obtained by utilizing the location information of the consumer in real time. Nevertheless, since LBS is a service that can be performed only when the company obtains consent to provide location information voluntarily by the consumer, there is a case of privacy infringement due to consumers' use of personal information. The purpose of this study is to identify the characteristics of privacy related variables and the knowledge structure for consumer value formation based on the theory of privacy calculation. We also compared the characteristics of Korea with those of China in privacy issue. As a result of the analysis, it was confirmed that factors such as information utilization ability and information control ability were influential as a key factor of privacy calculation. In addition, perceived value influences the reputation of the LBS App service.

• Journal of Korea Technology Innovation Society
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• v.15 no.3
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• pp.500-532
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• 2012

This study analyzed the technology innovation strategies of knowledge-based companies in the semiconductor IP industry. The theoretical approaches of this study are to i) the creation, protection and utilization of knowledge and innovation, ii) value creation from innovation, iii) modularity, timing of market entry, and the emergence and competition of standard (dominant design). Based on the theoretical analysis, I presented exploratory research hypotheses. Ultimately, this study examined the proposed hypotheses by conducting case studies on the technology innovation strategy of two leading knowledge-based companies in the semiconductor IP industry: ARM and INTEL. First, knowledge-based companies entering in the early stage of the technology cycle select the vertically-integrated technology strategy because of lower access to complementary knowledge assets, and maintain the vertically-integrated technology strategy despite the environmental change-driven differentiation of industry's value chain. Second, knowledge-based companies entering in the later stage of the technology cycle prefer the contract-based technology strategy because of its increased accessibility to complementary knowledge assets, and choose a different path of innovation strategies depending on whether their asset has the feature of discontinuity or not.

• Knowledge Management Research
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• v.7 no.2
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• pp.53-68
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• 2006

Knowledge has become an important resource for organization. The manufacturing industry is usually operated on the basis of business processes, and most workers are familiar with their own processes. The process-based approach, therefore, can provide an efficient way to capture and navigate knowledge. In this study, we focus on knowledge which may be missed during knowledge transfer among workers. For this, we propose a method for analyzing knowledge flow, which is passed among business processes. We propose a process-based knowledge management framework for analyzing knowledge flow, which employs a two-phase analysis: process analysis and knowledge flow analysis. A knowledge flow model, represented by Knowledge Flow Diagram, is proposed as a tool for representing knowledge. We formulate several semantics for knowledge flow modeling. We build the three-level schema: conceptual, logical, and physical in order to automate the knowledge model adaptive to knowledge management systems. The proposed approach is verified and illustrated through a case study on the manufacturing process of A Company.

• Journal of the Korean Society of Clothing and Textiles
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• v.22 no.3
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• pp.407-416
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• 1998

The purpose of this study was to examine the effects of brand knowledge on evaluations of brand extensions in fashion market. Here, consumer knowledge toward the parent brand was based on the brand and on the company which introduced the brand. The brand extensions were classified into brand-name extension and corporate-name extension. For this study, questionnaires were administered to 700 single women in twenties. The questionnaires were designed to measure brand extension evaluations and brand knowledge in terms of familiarity, use experience and self-assessed knowledge, evaluations of the attributes and attitudes based on the brand and corporate. Employing a sample of 621 women, data were analyzed by t-test. Major findings of this study are summarized as follows; 1) The higher the level of brand knowledge such as brand familiarity, brand use experience and self-assessed brand knoil- edge was, the higher positive effects were on the evaluations of brand-name extension. Also, evaluations of brand attributes and brand attitude positively influenced the evaluations of brand-name extension. 2) The higher the level of corporate knowledge such as corporate familiarity and use experience of product manufactured by the company was, the higher positive effects were on the evaluations of corporate-name extension. Also, evaluations of corporate attributes and attitude on corporate positively influenced the evaluations of corporate-name extension. These results demonstrate that positive knowledges and affects on the parent brand are transferred to its extended product through categorization process.

• Knowledge Management Research
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• v.11 no.1
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• pp.129-146
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• 2010

As knowledge has become the most important means of production for a company to survive in a "knowledge-based society", knowledge management has become the key issue in the corporate sector. Despite its growing significance, there are limited numbers of research that describe how companies actually develop, share and practice their knowledge. From this perspective, this study used a qualitative approach to explore on the actual process of knowledge management implementation. In-depth interviews with eleven senior managers, who were working at S global corporation, were conducted. The results show that there are differences between how the participants perceive and how they actually perform in managing knowledge. While the participants tend to conceptualize knowledge management as building a technical system, their performance has shown that knowledge has been developed and shared through active interaction among the members in the company. The factors that impede knowledge management were caused by the individualized job assignment and inapplicable exercises that result in obscuring information flow and utilizing inadequate and low quality of knowledge. The findings of this study imply that knowledge management is not a matter of formality but a paradigm that assures for the flow and share of knowledge.

• 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.13 no.1
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• pp.13-24
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• 2012

Unlike the traditional belief that knowledge flows along the formal reporting procedures, recent social network research has reported the importance of informal social networks which may play a critical role as the real knowledge conduits. In fact, as a complementary approach of utilizing knowledge management systems (KMSs), many firms have focused on managing informal knowledge flow through which to acquire and transfer valuable knowledge in a fast and effective way. In a case of global companies that have newly developed foreign branches or subsidiaries, due to cultural or institutional differences and lack of understanding of knowledge management and its benefits, they often have difficulties in activating knowledge sharing in local branches. In these situations, diagnosing organizational knowledge flow through SNA can be a first step to solve the problems. Therefore, in this paper, I report on the result of case study on a foreign branch of "A" global company by identifying organizational knowledge paths. Based on the results of the diagnosis, some implications and insights for building knowledge management (KM) strategy specified for a newly developed foreign branch will also be discussed.

• Nuclear Engineering and Technology
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• v.36 no.5
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• pp.388-402
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• 2004

A phenomena identification and ranking table(PIRT) was developed for a main steam line break (MSLB) event for the Advanced Power Reactor-1400 (APR-1400). The selectee event was a double-ended steam line break at full power, with the reactor coolant pump running. The developmental panel selected the fuel performance as the primary safety criterion during the ranking process. The plant design data, the results of the APR-1400 safety analysis, and the results of an additional best-estimate analysis by the MARS computer code were used in the development of the PIRT. The period of the transient was composed of three phases: pre-trip, rapid cool-down, and safety injection. Based on the relative importance to the primary evaluation criterion, the ranking of each system, component, and phenomenon/process was performed for each time phase. Finally, the knowledge-level for each important process for certain components was ranked in terms of existing knowledge. The PIRT can be used as a guide for planning cost-effective experimental programs and for code development efforts, especially for the quantification of those processes and/or phenomena that are highly important, but not well understood.