• Journal of Korean Elementary Science Education
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• v.38 no.4
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• pp.484-495
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• 2019

This study divided pre-service elementary school teachers' knowledge conversion into four types, socialization, externalization, combination and internalization, based on their inquiry activities on the life cycle of cabbage butterfly. As research subjects, this study collected results from 24 pre-service elementary school teachers who carried out inquires on the life cycle of cabbage butterfly for about 2 months. The type of socialization indicates the conversion of tacit knowledge into tacit knowledge, and this study found out that pre-service elementary school teachers acquired and accumulated tacit knowledge from their fellow pre-service teachers, professors and even acquaintances inside and outside the lab. However, there appeared no process that they shared their tacit knowledge with other pre-service teachers or delivered it to them. The type of externalization indicates the conversion of tacit knowledge into explicit knowledge, and this study discovered some cases that pre-service elementary school teachers expressed their inner tacit knowledge into explicit knowledge. However, there was no case found that they converted the verbally-unexpressed tacit knowledge of their fellow teachers or experts into well-defined explicit knowledge. The type of combination indicates the conversion of explicit knowledge into explicit knowledge, and this study discovered some cases that they collected explicit knowledge and converted it into new explicit knowledge for the acquisition, integration and delivery or distribution of explicit knowledge. However, there were few cases that they creatively devised new explicit knowledge by acquiring new knowledge through direct observation and supplementing the existing explicit knowledge. The type of internalization indicates the conversion of explicit knowledge into tacit knowledge, and this study discovered both explicit knowledge embodied through personal experiences and explicit knowledge embodied through simulations and experiments that formed tacit knowledge in process of examining the existing explicit knowledge.

• Asia pacific journal of information systems
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• v.11 no.4
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• pp.113-133
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• 2001

We propose utilizing a fuzzy cognitive map(FCM) to integrate tacit knowledge and explicit knowledge both of which are crucial to the success of knowledge management. Recently, explicit knowledge is getting more available as CRM and data mining approaches become popular as the advent of using database and the Internet technology. However, for the knowledge management to be successful, tacit knowledge should be seamlessly integrated with explicit knowledge seamlessly. The problem hindering such effort is how to find a vehicle facilitating transformation of explicit knowledge into tacit knowledge, and vice versa. FCM has been important method for representing tacit knowledge as a form of explict knowledge. In this respect, we suggest the detailed process about how to integrate explicit knowledge and tacit knowledge by using FCM. We gathered extensive set of data from the credit card company, and applied our proposed method. Results showed that our approach is robust and promising for the field of integrating two different kinds of knowledge.

• The Journal of Korean Association of Computer Education
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• v.11 no.3
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• pp.43-55
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• 2008

This study investigates how learners extract their implicit knowledge into explicit form of the knowledge. The process of implicit-explicit transfer is known to help learners to reconstruct and refine their knowledge which was constructed before in some ways. Also we investigate which types of explicit form are more effective when it is delivered to other learners. In a classroom-based learning environment, students take educational content that is delivered by instructor and go through the process in which they try to fit the content into their cognitive structure by reconstructing the knowledge into their cognitive model. When they try to deliver their own cognitive model for the knowledge to other learners, they have to transform it into explicit form, and through the process, they reconstruct and refine the cognitive model of the knowledge, and find effective and appropriate way to express it. In this research, we experimented the process on a group of 77 college students and analyzed the results. We also did peer evaluated experiments to see which types of explicit format and factors are more effective than others. The results indicate that the types of explicit form of implicit knowledge play an important role in effectiveness of learning.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.05a
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• pp.9-12
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• 2004

Developing an efficient knowledge base construction mechanism as an input method for expert systems (ES) development is of extreme importance due to the fact that an input process takes a lot of time and cost in constructing an ES. Most ES require experts to explicit their tacit knowledge into a form of explicit knowledge base with a full sentence. In addition, the explicit knowledge bases were composed of strict grammar and keywords. To overcome these limitations, this paper proposes a knowledge conceptualization and construction mechanism for automated knowledge acquisition, allowing an efficient decision. To this purpose, we extended traditional knowledge map (KM) construction process to dynamic knowledge map (DKM) and combined this algorithm with relational database (RDB). In the experiment section, we used medical data to show the efficiency of our proposed mechanism. Each rule in the DKM was characterized by the name of disease, clinical attributes and their treatments. Experimental results with various disease show that the proposed system is superior in terms of understanding and convenience of use.

• Korean Management Science Review
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• v.21 no.1
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• pp.87-111
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• 2004

Today's organizations make every effort to achieve effective knowledge management. under the recognition that knowledge is a powerful. competitive weapon. For knowledge management to be successful, however, not only should knowledge be voluntarily offered by organizational members but also the organizational ownership of knowledge be perceived among members. In this regard. this study explores antecedent factors of organizational ownership of knowledge based on the extension of previous studies. The analysis of two hundred and fifty-five survey data indicates that cohesion of department or team, propensity to share, and task interdependence are significantly related to organizational ownership. The relationship turns out to be stronger with tacit knowledge than with explicit knowledge. Some suggestions are proposed for enhancing effective knowledge management.

• International Journal of Advanced Culture Technology
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• v.7 no.3
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• pp.158-165
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• 2019

Knowledge based system includes tools for constructing, testing, validating and refining the system along with user interfaces. An important issue in the design of a complete knowledge based system is the ability to produce explanations. Explanations are not just a series of rules involved in reasoning track. More detailed and explicit form of explanations is required not only for reliable reasoning but also for maintainability of the knowledge based system. This requires the explanation mechanisms to extend from knowledge oriented analysis to task oriented explanations. The explicit modeling of problem solving structures is suggested for explanation generation as well as for efficient and effective reasoning. Unlike other explanation scheme such as feedback explanation, the detailed, smaller and explicit representation of problem solving constructs can provide the system with capability of quality explanation. As a key step to development for explanation scheme, the problem solving methods are broken down into a finer grained problem solving primitives. The system records all the steps with problem solving primitives and knowledge involved in the reasoning. These are used to validate the conclusion of the consultation through explanations. The system provides user interfaces and uses specific templates for generating explanation text.

• Knowledge Management Research
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• v.11 no.2
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• pp.133-152
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• 2010

This paper suggests a typology of the modes of collaboration for scientific and technological knowledge production and sharing (STKPS) based on knowledge communication types, including organizational factors, communication channel, intensity, and decision-making, that affect STKPS processes. It is mainly designed to rearrange ideas about collaboration drawn from the literature in order to develop a conceptual framework for categorizing modes of collaboration based on how communication patterns shape four modes of collaboration. In the conclusion and discussion part, practical implications, limitations of this study, and further studies are discussed. In particular, the practical implications propose communication patterns suitable for five stages of collaboration processes. As the collaboration initiation or set-up stage is critical, extensive face-to-face communication is recommended in the auditing stage. In the execution stage, media-based communication can be actively utilized, because collaborators will mostly exchange explicit codified knowledge supported by IT. The evaluation and reinforcement stages concentrate on tacit knowledge exchange and explicit knowledge evaluation, which requires intensive face-to-face communication including negotiations for evaluating collaboration outcomes and partnership.

• Journal of Information Technology Services
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• v.14 no.2
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• pp.315-335
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• 2015

The New Way of Working (NWOW) is changing the world in which we work today. The principles of NWOW are based on freedom of time and place to work, and steering on output (results) instead of input (presence). As NWOW is a relatively new phenomenon, research on the effect of NWOW on knowledge sharing in organizations is scarce. In this research two multiple-case studies were performed to investigate the effect of the New Way of Working on knowledge. In the first study (A) different knowledge sharing scenarios were used at organizations that were in the process of implementing NWOW. This provided the opportunity to compare the sharing of knowledge between 'NWOW workers' and employees that still worked in the traditional way (non-NWOW workers). In total 216 scenario results were evaluated to determine differences in channel choice between the traditional and new work environment. For the second study (B) a Knowledge Sharing Framework was developed, based on the theories of Nonaka and Alavi & Leidner. This framework was used to determine the type of knowledge shared, e.g. tacit or explicit knowledge, in 84 situations. Additionally, to measure the level of NWOW adoption, a NWOW Analysis Monitor was used. The results show that NWOW workers use more different communication channels than traditional workers. When knowledge workers become more mobile, they will exchange knowledge less explicit (codified) and more tacit (personalized), use less face-to-face communication, but more video calls and e-mail. The adoption of the principles of NWOW seems to have a balancing effect on the knowledge that is shared in a tacit and explicit way, which in the view of Scheepers et al. is an effective knowledge sharing strategy. The research results show organizations need to realize that the New World of Working is affecting the way knowledge is shared. Missing out on this development may result in the loss of important knowledge and impact the operation of organizations.

• Information Systems Review
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• v.18 no.4
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• pp.155-171
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• 2016

Today's organizations make a large investment in information technology (IT) that supports knowledge management. The perceived importance of transactive memory systems (TMS) is increasing in the aspect of team performance. This study aims to understand the mediating effect of knowledge sharing and usage from the perspective of the relationship between IT support for knowledge management and TMS for team performance. To this end, this study analyzes the survey responses obtained from 224 members of 37 different teams using IT support for knowledge management. The results are as follows. First, the effect of IT support on knowledge management was significant in TMS. Second, the mediating effect of IT support on knowledge management through TMS was higher than its direct effect on knowledge sharing and usage. Third, IT support for knowledge management had a greater effect on knowledge sharing than on knowledge usage. Fourth, the effect of TMS appeared to be ordered by tacit knowledge sharing, explicit knowledge sharing, tacit knowledge usage, and explicit knowledge usage. Fifth, the relationship of team performance with knowledge sharing and usage was significant in the order of tacit knowledge usage, tacit knowledge sharing, and explicit knowledge usage.

• Knowledge Management Research
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• v.2 no.1
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• pp.65-81
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• 2001

The aim of this study is classify knowledge work style management for knowledge management. It is based on the knowledge creation model of Nonaka by subdividing types of knowledge workers. It was designed to create a model for application to the actual environment of management. Nonaka suggested the process of socialization, externalization, combination, internalization that the knowledge of a person creates new knowledge through the interaction of implicit knowledge and explicit knowledge. This research demonstrated that knowledge worker of 16 forms by applying SECI model to the main function and the subordinate functions again. This study aims at achieving a higher outcome by applying the ability of existing knowledge worker to subdivided expert field efficiently. Suggested styles of knowledge worker in this research are classified into craftsman style, pragmatic style, combination style, developed style knowledge worker who creates knowledge by selecting socialization as the function and again by selecting externalization combination, internalization as subordinate functions. And they were classified into creation style, insight style, strategy style according to practical application worker and function which is selecting externalization as the main function and socialization as the subordinate functions. They were classified into future style, innovation style, analysis style, judgement style knowledge worker who are selecting combination as the main function and experiment style, intuition style, research style, learning style worker who are selecting internalization as the main function. They suggested the characteristics and cases of each type.