• 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.

• 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.

• Management & Information Systems Review
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• v.28 no.4
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• pp.229-252
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• 2009

The purpose of this study is to find out the determinants of knowledge management adoption through the analysis which examine structural relationships among knowledge management-based structure, knowledge management activities and business performance using the BSC(Balanced Scorecard) perspective. This study also gives the suggestion for the effective knowledge management implementation in the korean companies. This study has been conducted using the data collected from 91 companies implementing knowledge management. By analyses of the questionnaires, empirical results show that 3 factors of knowledge management-based structure, except organizational structure, have positive effect on knowledge management activities, and the implementation of knowledge management activities has positive effect on business performance with 3 perspectives of BSC, except financial performance. This study showed that more consideration are essential to obtain balanced business performance for companies with knowledge management adoption plan.

• Journal of the Korean Society for Precision Engineering
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• v.22 no.1
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• pp.19-25
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• 2005

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.278-282
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• 2001

The discovery of tacit knowledge from domain experts is one of the most exciting challenges in today\`s knowledge management. The nature of decision knowledge in determining the quality a firm\`s short-term liquidity is full of abstraction, ambiguity, and incompleteness, and presents a typical tacit knowledge extraction problem. In dealing with knowledge discovery of this nature, we propose a scheme that integrates both knowledge elicitation and knowledge discovery in the knowledge engineering processes. The knowledge elicitation component applies the Verbal Protocol Analysis to establish industrial cases as the basic knowledge data set. The knowledge discovery component then applies fuzzy clustering to the data set to build a fuzzy knowledge based system, which consists of a set of fuzzy rules representing the decision knowledge, and membership functions of each decision factor for verifying linguistic expression in the rules. The experimental results confirm that the proposed scheme can effectively discover the expert\`s tacit knowledge, and works as a feedback mechanism for human experts to fine-tune the conversion processes of converting tacit knowledge into implicit knowledge.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2022.11a
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• pp.126-128
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• 2022

경량화 기법 중 하나인 Knowledge distillation 은 최근 object detection task 에 적용되고 있다. Knowledge distillation 은 3 가지 범주로 나뉘는데 그들 중에서 Self-Knowledge distillation 은 기존의 Knowledge distillation 에서의 pre-trained teacher 에 대한 의존성 문제를 완화시켜준다. Self-Knowledge distillation 또한 object detection task 에 적용되어 training cost 를 줄이고 고전적인 teacher-based methods 보다 좋은 성능을 성취했다.

• Journal of The Korean Association For Science Education
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• v.40 no.5
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• pp.565-582
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• 2020

The purpose of this study is to investigate middle school science teachers' pedagogical content knowledge for science practice-based instruction developed by five middle school science teachers in a teacher learning community. Science teachers in this study collaborated to examine lesson plans and reflect on teaching practice and collaboratively analyzed science curriculum, discussed video-recordings of teaching practice, and discussed to design detailed and elaborated lesson plans. Data collection consisted of pre and post questionnaire and interview, audio-recording of teacher discussion in a teacher learning community for one year, lesson plans, teacher written reflection, and video-recording of teaching practice. Data analysis reveals that science teachers developed pedagogical content knowledge for science practice-based instruction that consists of eleven sub-components of knowledge of science curriculum for science practice, knowledge of science practice-based instructional strategy, knowledge of students' science practice-based learning, and knowledge of science practice-based learning assessment. Science teachers in this study developed highly structured pedagogical content knowledge for science practice-based instruction.

• Knowledge Management Research
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• v.12 no.2
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• pp.35-55
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• 2011

By providing a number of unprecedented knowledge sources, virtual communities have stimulated interests in knowledge sourcing Specifically, virtual communities have triggered fundamental changes in the ways that people interact with one another. Thus, there is a critical need to examine how people try to behave for sourcing knowledge in virtual communities, particularly in terms of the demand-side perspective of knowledge. To address the knowledge gap regarding knowledge sourcing behavior from the knowledge recipients' side, this study draws upon GPA(goal-plan-action) theory with both the social cognitive theory and the goal-setting theory as overarching theories. Furthermore, we apply past experience in virtual communities and trust in knowledge providers as moderating variables to deeply understand the knowledge recipients' behavior. We expect to present theoretical and practical implications through our findings, which are relevant to cognitive goal-setting and knowledge sourcing behavior. In the theoretical perspective, this study illustrates how knowledge recipients determine knowledge sourcing behavior. Based on our findings, this study has practical implications for virtual communities to effectively balance knowledge repositories and knowledge management systems with knowledge providers and recipients.

• Journal of Technology Innovation
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• v.8 no.1
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• pp.73-94
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• 2000

The main objective of this research is to examine the spillover effects of technological knowledge from IT industry to other industrial sectors and, based on empirical findings, to draw policy implications and suggest policy directions. To this end, we divide IT industry into IT equipment and IT service, assuming that these two sub-sectors are considerably different each other in terms of technology knowledge flow. Other industries are classified into 17 different sectors based on the KSIC of 1990. As the proxy measure of technological knowledge, the notion of R&D stock is employed. The Input/output(I/O) Table is used to define the inter-industrial flow pattern and to draw the knowledge flow matrix. As the research methodology, cost function model is employed to gauge the spillover effects of technological knowledge of IT industry. Based on the results of analysis, it is found that the economic impact of technology diffusion also exhibits a different pattern between IT equipment and IT service. The diffusion of IT equipment tends to show labor-substitution effect whereas IT service displays labor-creation effect. This fact should be considered in devising industry, education, and labor policy. The expectations from this research are as follows. First, the sectoral pattern, difference between IT equipment and service in particular, identified from this research may shed light on the sector-specific policy direction. It is emphasized that a sector-specific approach, rather than an aggregate approach, is relevant for formulating IT policy. Second, it is expected that the importance of technology diffusion programs and policy measures are recognized among policy makers in IT industry.

• The Journal of the Korea Contents Association
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• v.10 no.8
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• pp.26-31
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• 2010

This research does focus on realization of customizing recommendation service that all of formal, or informal learning is accomplished at real time according to worker's current situation or business context corresponding with the individual ability and the learning progress at industry or education field. For this, we designed the customizing intelligent recommendation system based on compound knowledge that workers can listen to coaching advices at real time and to retrieve and recommend multidimensional relation easily. Also, we constructed the repository based on compound knowledge and process engine for efficient management of compound knowledge. In specific industry, expert solution or coaching service will be created using the knowledge which is accumulated in long-term.