• 지식경영연구
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• 제4권2호
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• pp.35-53
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• 2003

In recent years, knowledge has emerged as a major source of competitive advantage due to the continuous development of information and communication technology, the acceleration of globalization, and the entry into knowledge-based society. Thus interests in knowledge management have been increased significantly. Nevertheless theoretical backgrounds of knowledge management are not actively discussed. Studies on the knowledge management of R&D groups initiating knowledge creation and sharing are not actively conducted either. This study, therfore, provides a research model of knowledge management to investigate relationships among resource and institutional characteristics, knowledge management activities, and knowledge management performance of R&D groups based on knowledge-based theories and institutionalization theories. This study further offers research propositions inherent in the model.

• 지식경영연구
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• 제5권1호
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• pp.1-17
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• 2004

Based on the diffusion of innovation paradigm, this study conceptualizes the constituent components (3P) and the growth stages (6C) for knowledge management. It is critical for knowledge management efforts to identify 'where we are' and decide 'where to go' and then to manage 'how to go'. As a framework for the success of knowledge management, the 3P6C model is intended to systematically guide these efforts toward knowledge asset management and implementation, for knowledge productivity. This model is illustratively applied to such success stories as in Skandia, Buchman Lab and Hall Mark Cards. Such applications of this model show that they have been through such prior activities required in the earlier stages, and thattechnological platform is just one of the 3 key components working as an enabler, implying together the existence of growth path in KM success. Provided in the appendix are a set of exemplary scenarios in knowledge management practice for growth stage assessment.

• 한국유통학회지:유통연구
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• 제4권2호
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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.

• Safety and Health at Work
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• 제5권2호
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• pp.53-59
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• 2014

Background: In a safety perspective, efficient knowledge management is important for learning purposes and thus to prevent errors from occurring repeatedly. The relationship between knowledge exchange among employees and safety behavior may be of particular importance in distributed organizational systems where similar high-risk activities take place at several locations. This study develops and tests hypotheses concerning the relationship between knowledge exchange systems usage, knowledge exchange in the organizational system, and safety compliance. Methods: The operational context of the study is petroleum drilling and well operations involving distributed high-risk activities. The hypotheses are tested by use of survey data collected from a large petroleum operator company and eight of its main contractors. Results: The results show that safety compliance is influenced by use of knowledge exchange systems and degree of knowledge exchange in the organizational system, both within and between units. System usage is the most important predictor, and safety compliance seems to be more strongly related to knowledge exchange within units than knowledge exchange between units. Conclusion: Overall, the study shows that knowledge management is central for safety behavior.

• 한국경영정보학회:학술대회논문집
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• 한국경영정보학회 2008년도 춘계학술대회
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• pp.1-6
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• 2008

Organizations are increasingly adopting Knowledge Management Systems (KMS) to effectively manage knowledge within the organization and realize firm and operational level benefits. However, many KMS implementations fail to yield desired outcomes due to the lack of understanding of the antecedent of successful knowledge management. Prior studies have established that organizational cultural values are one of the key enablers of knowledge management. We develop a computational model of organizational knowledge processes and employ simulations to examine the impact of KMS in different organizational cultural settings. We find that cultural values that govern the employees' predisposition towards seeking knowledge from others have a greater influence on KMS effectiveness than those that govern the employees' attitudes towards sharing their knowledge with others. We also find that organizations with cultures that foster high levels knowledge sharing behaviors can expect performance gains if KMS implementations incorporate knowledge seeking activities into the employees' work processes.

• 지식경영연구
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• 제6권1호
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• pp.33-69
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• 2005

Recently, knowledge management and E-business are very important issues in academic and business fields. Research questions related with these issues are which factors stimulate knowledge management. Another question is whether knowledge management is related to E-business. To answer these questions a research model was proposed. The data were collected from 90 manufacturing firms in Korea. Appropriate research methodologies were employed for analysis. Results found that the degree of firm's internalization, diversity of domestic management activities and learning orientation affect knowledge aquisition and transfer. Knowledge aquisition and transfer facilitate knowledge application, resulting in new product development, cost reduction and technology differentiation. Knowledge management is a kind of process. This result, therefore, confirms what previous literature predicted.

• 정보관리학회지
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• 제27권3호
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• pp.169-187
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• 2010

본 연구의 목적은 지식기여 활동의 영향요인을 분석하고, 지식기여 활성화 방안을 모색하는데 있다. 특히 본 연구에서는 공공부문을 대상으로 온라인에서의 지식기여와 오프라인에서의 지식기여 활동에 영향을 미치는 요인을 분석하고, 이를 통해 지식기여 활성화 방안을 제시하고자 하였다. 구조방정식 모형 분석을 통한 가설검증 결과, 온라인 지식기여와 오프라인 지식기여에 유의미한 영향을 미치는 요인으로는 지지적 리더십, 내재적 동기, 지식품질 등으로 나타났다. 이러한 분석결과를 토대로 본 연구에서는 지식기여 활성화를 위한 전략 및 함의를 제시하였다.

• International Journal of Quality Innovation
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• 제5권2호
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• pp.106-121
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• 2004

This paper investigates customer knowledge management activities of Taiwan's plastic industries. The results demonstrate that the bulk of customer knowledge comes from data related to customer purchase orders and complaints. Furthermore, marketing, production, and research and development are the main departments that developed and reuse customer knowledge. The benefits derived from knowledge management for enterprises do not vary with the position of the vendor on the business scope. In addition, the benefits derived by customers from knowledge management are directly related to the benefits gained by the five major business functions, while the benefits derived from the customer knowledge management are also directly related to customer satisfaction. Summarizing the above results, an Acquisition-Development-Reuse (ADR) model is proposed and can provide the enterprises with a systematic reference model when the business attempts to construct a customer knowledge management system.

• 지식경영연구
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• 제16권1호
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• pp.243-254
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• 2015

To increase their market shares and grow continuously, it is very important for small and medium-sized enterprises (SMEs) to expand their markets. Although various factors may influence an SME's effort to cultivate a new market, this research focused on activities related to the search and utilization of external knowledge. After conducting Tobit analysis based on the dataset of 959 Korean SMEs included in the 2010 Korean Innovation Survey, we found that external knowledge search and utilization activities positively affect the market expansion of SMEs. This result has two implications: (1) SMEs should actively search for appropriate external knowledge sources with which they can expand their markets and reduce their dependence on internal R&D activities; and (2) they should implement an efficient corporate system to effectively absorb and utilize external knowledge inside the firms. Despite these contributions, this research has its shortcoming in that it utilized a cross-sectional dataset, which can be further analyzed by incorporating the dataset from previous and future periods.

• 한국정보기술응용학회:학술대회논문집
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• 한국정보기술응용학회 2005년도 6th 2005 International Conference on Computers, Communications and System
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• pp.139-142
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• 2005

Recently research interest in Knowledge Management (KM) has grown rapidly. Companies regard intellectual capital as important asset and strive to deploy KM in an organization to gain a competitive edge. Many organizations currently engage in knowledge management in order to leverage knowledge both within their organization and externally to their shareholders and customers. Most of the previous research related to KM are dedicated to investigate the role of information technology in extracting, capturing, sharing, coverting organizational knowledge. Knowledge workers, however, are paid less attention though they are the key players in KM activities such as knowledge creation, dissemination, capture and conversion. We regard knowledge workers as a major component of KM and starting point of understanding organizational knowledge activities. Therefore we adopt a method to understand and analyze knowldge workers' social relationships. In this paper we investigate Social Network Analysis (SNA) as a tool for analyzing knowledge network. We introduce the basic concept of SNA and suggest a framework for implementing knowledge network by explaining how SNA can be used for analyzing knowledge network. We also propose a numerical method for identifying knowledge workers using SNA after classifying knowledge workers. The suggested method is expected to help understanding key knowledge players within an organization.