• Asia pacific journal of information systems
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• v.11 no.2
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• pp.99-119
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• 2001

The creation of knowledge is a major concern for knowledge management practice. In particular, effective knowledge creation is one of the critical success factor in SI(System Integration) industry. This paper designs a framework of effective knowledge creation methods for organizations in SI industry. First, we give a comprehensive survey on knowledge creation and discovery methods. And the structure of SI knowledge has been analysed. Also, characteristics of knowledge management processes of SI industry have been surveyed and analysed. A framework for effective knowledge creation of SI organization has been discussed based on the characteristics of SI knowledge and knowledge management processes. Organizational issues and theoretical issues of the methods have been discussed. Future research will be needed to expand the current framework and to examine the effectiveness of the proposed framework.

• Journal of Digital Convergence
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• v.8 no.1
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• pp.27-40
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• 2010

This case study covers the Knowledge Management research paper that explores the clear idea about the knowledge practicesthat are used in the corporate sector to achieve the strategic advantage over the competitors. The quoted example of the three manufacturing firms TATA MOTORS, BHEL, and M&M have tried to compare the Knowledge practices in these firms, which explores the concept clearer that the competitors can use the same or the different type of knowledge practices to achieve the competitor advantages. In order to help knowledge management goals, an integrated knowledge management system consisting of the knowledge management techniques and technologies are used. The knowledge Management is supported by different techniques and practices whichare knowledge content, people skills, technology and strategy based. The technology and techniques supports these factors of knowledge management. The paper discuss different techniques and processes adapted by three Indian organizations and a comparison is made to suggest the guidelines of KM practices to manufacturing Industries.

• Knowledge Management Research
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• v.4 no.1
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• pp.67-79
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• 2003

Today, corporate knowledge plays a critical role in obtaining competitive advantage. It is often pointed out that corporate knowledge is expected to be able to support various efforts for process innovation. Accordingly, it is important to establish a systematic infrastructure for the acquisition of knowledge which can support business-critical tasks effectively. From this motivation, this paper proposes a framework to guide a series of acquisition procedures for task knowledge and shows how to intemperate with activities for an innovation purpose. Moreover, the useful components of task knowledge are proposed; the schema of the components is ultimately implemented as a repository in a system for the management of task knowledge. To demonstrate the practical usefulness of the framework and the schema components, a real-life case is illustrated.

• Knowledge Management Research
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• v.14 no.2
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• pp.117-135
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• 2013

In a contemporary organization, the role of social capital has been increasingly important in sharpening knowledge management practices. The primary objective of this paper is to propose a research model to measure the effects of social capital on individual performance. The model also investigates the mediating mechanism of knowledge acquisition and knowledge transformation, both of which are critical in fostering an enterprise's absorptive capacity. The field data was collected from a knowledge-centric organization. The analysis result reveals that shared goal is crucial in enabling knowledge processes. Furthermore, it is found that knowledge transformation rather than knowledge acquisition is more likely to lead to individual task performance.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.11
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• pp.2903-2923
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• 2023

Knowledge recommendation is a type of recommendation system that recommends knowledge content to users in order to satisfy their needs. Although using graph neural networks to extract data features is an effective method for solving the recommendation problem, there is information loss when modeling real-world problems because an edge in a graph structure can only be associated with two nodes. Because one super-edge in the hypergraph structure can be connected with several nodes and the effectiveness of knowledge graph for knowledge expression, a dual-channel hypergraph convolutional neural network model (DCHC) based on hypergraph structure and knowledge graph is proposed. The model divides user data and knowledge data into user subhypergraph and knowledge subhypergraph, respectively, and extracts user data features by dual-channel hypergraph convolution and knowledge data features by combining with knowledge graph technology, and finally generates recommendation results based on the obtained user embedding and knowledge embedding. The performance of DCHC model is higher than the comparative model under AUC and F1 evaluation indicators, comparative experiments with the baseline also demonstrate the validity of DCHC model.

• Asia pacific journal of information systems
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• v.30 no.2
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• pp.228-251
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• 2020

This study attempts to examine the importance of social capital in customer service organizations and clarifies how translates into organizational performance through knowledge management activities. A survey was conducted with the customer service employees, and 256 questionnaires were used for an empirical analysis with smart partial least squares (PLS). The analysis found that relational capital had a positive effect on both the knowledge management components of knowledge sharing and knowledge conversion, while structural capital significantly influenced knowledge sharing. In addition, human capital positively affected knowledge conversion. Both knowledge sharing and knowledge conversion significantly influenced organizational performance. This study proposed a conceptual framework of social capital that influences organizational performance mediated by an organization's knowledge management activities. Based on the results, we suggest practical guidelines for managing social capital and recommend areas of improvement for customer organization's managers and employees.

• Journal of the Korean Operations Research and Management Science Society
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• v.16 no.2
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• pp.33-33
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• 1991

The management of enterprise knowledge has been increasingly important because knowledge emerges as the new basis of competition in postcapitalist society. One of the key issues in knowledge management is to put knowledge into a repository where it can be easily stored, reused, and recreated. This paper proposes a model repository and the corresponding knowledge management framework. The emphases of model repository is on abstraction knowledge in the form of schematic models. Two major benefits are model independence and model integration. A metaschema is constructed according to six conceptual components: separate unit, external link, internal link, separate unite descriptor, link descriptor, and composite descriptor, which can be applied for a variety of models. A prototype system with a case illustrates the practical usefulness of model repository for knowledge management

• Journal of Korean Society for Quality Management
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• v.36 no.1
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• pp.80-88
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• 2008

The 21st century is often called the knowledge-based information society. A new term, Data Technology (DT), which handles data and creation of information, is defined. A few important concepts of DT which are related to Six Sigma are described. Also some characteristics of Knowledge Management (KM) which provide new knowledge are explained. As a new direction of Six Sigma, Six Sigma Focused on Knowledge Creation (SSFKC) is suggested. The way of implementation of SSFKC and its relationship with DT and KM are elaborated.

• Journal of Korean Society of Archives and Records Management
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• v.1 no.2
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• pp.81-100
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• 2001

This study examines tile concept of knowledge management and research trends. This study, then, analyzes the factors influencing for knowledge sharing. Finally, it identifies facilitating factors for knowledge sharing in terms of knowledge characteristics, organizational culture, knowledge management support organization arrangement, reward system, and information technology. The suggestions of the study can be used to establish knowledge sharing in organizations.

• Journal of the Korean Data and Information Science Society
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• v.8 no.2
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• pp.173-181
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• 1997

In oriental medicine, it is required that correct medical knowledge should be maintained for medical expert system which analyzes and diagnoses patients symptoms. Typical medical expert system has a knowledge base as its core, and the knowledge base contains a domain specific knowledge about patients records. However, oriental medicine diagnostic knowledge is formed mostly as qualitative data, knowledge could be ambiguous and uncertain. In this paper, we looked at quantification methods and propose a method for quantifying the oriental medicine diagnostic knowledge, which is improving the knowledge base of an oriental medicine expert system.