• The Journal of Asian Finance, Economics and Business
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• v.7 no.9
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• pp.549-560
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• 2020

The purpose of the study is to explore the psychological empowerment of the worker as a moderator to explain the link between knowledge sharing and innovative work behaviour within the telecommunication sector of Saudi Arabia. This study is based on a quantitative approach, having collected data through a series of questionnaires developed on previous studies. This study has applied Smart-Partial Least Squares (PLS) for the data analysis. The results revealed that there is a positive and significant relationship between knowledge sharing and innovative work behaviour. The knowledge sharing increases the competencies of the workers, bringing about more creativeness and perfection. Furthermore, this study elaborates that psychological empowerment plays an important role as a moderator in making a strong relationship between knowledge sharing and innovative work behaviour. This study concluded that the innovative work behaviour in any organisation depends on the practice, experience, and capabilities of the workers and, most importantly, the interdepartmental knowledge shared amongst them. The sharing of knowledge psychologically empowers the worker to bring creativity, modernization and excellence in the work that affects the marginal productivity, profitability, and customer satisfaction at a great extent. These factors provide long-run sustainability to business in a highly competitive market environment.

• The Mathematical Education
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• v.54 no.3
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• pp.207-222
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• 2015

Mathematics preservice teachers' Mathematical Content Knowledge ("MCK") includes not only knowledge for mathematics, but also academic knowledge for school mathematics and mathematical process knowledge. We can consider the items in PISA 2012 as suitable tools to assess process knowledge as well as mathematical content knowledge because these items are developed by competent international educational experts. Therefore, the responses to items with the low percentage of correct answers in conjunction with the mathematical contents were analyzed with focus on FMC. The results showed the reasoning competency in responses using the conditions of the problem and of understanding the conditions after reading the complex problems within the context (i.e. the reasoning and argumentation competency, and communication competency) requires improvements. Furthermore the results indicated the errors due to a lack of ability of devising strategies for problem solving. Based on the foregoing results, the implications towards the directions of the education for the preservice mathematics teachers have been derived.

• The Journal of Society for e-Business Studies
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• v.6 no.3
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• pp.115-126
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• 2001

In constructive view, acquiring knowledge is made by experiences among members or elements. The knowledge in e-learning system can be extended up to knowledge of teachers and knowledge. of operating managers. We have many difficult problems to develop and manage e-1earning system because demanders on e-learning system have various. requirements. In traditional education system demanders are learners but in constructive view demanders can be extended to learners and teachers, operating mangers on e-learning system., In this study, we design and implement e-learning system named kedu V.1. Kedu V.1 is developed considering interactions of extended demanders of e-learning system in constructive view. And this system based on Linux operation system and MySQL, PHP. Also this system have efficient transplantation and portability capabilities and reduced cost and labor in implementation of real e-learning system

• Journal of Intelligence and Information Systems
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• v.9 no.2
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• pp.87-100
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• 2003

In managing organizational tacit knowledge, recent researches have shown that it is more applicable in many ways to provide expert search mechanisms in KMS to pinpoint experts in the organizations with searched expertise. In this paper, we propose an intelligent expert search framework to provide search capabilities for experts in similar or related fields according to the user′s information needs. In enabling intelligent expert searches, Fuzzy Abstraction Hierarchy (FAH) framework has been adopted, through which finding experts with similar or related expertise is possible according to the subject field hierarchy defined in the system. To improve FAH, a text categorization approach called Vector Space Model is utilized. To test applicability and practicality of the proposed framework, the prototype system, "Knowledge Portal for Researchers in Science and Technology" sponsored by the Ministry of Science and Technology (MOST) of Korea, was developed.

• Knowledge Management Research
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• v.4 no.2
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• pp.1-18
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• 2003

Team-members may have diverse backgrounds and characteristics and such diversity is getting increased in teams in terms of demographics(gender, age, and educations) and capabilities(knowledge, skills, and experiences). A meta-analysis of the last 40 years studies, however, concluded that diversity in teams does not have the consistent main effect on team performances. On the other hand, according to theories of selection and socialization, similarity in values, backgrounds, and experiences buttress the positive and effective working environment. Therefore, we conduct an empirical study in favor of similarity in work teams for the sake of team effectiveness. We investigated the importance of the similarity of team-members on IT team effectiveness. Two aspects of similarity, demographic and cognitive, were considered together. The shared mental model(SMM) was introduced as the representative construct for the cognitive similarity. We found that SMM is more important than the demographic similarities on team effectiveness.

• Journal of the Korean Society for Precision Engineering
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• v.16 no.8
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• pp.59-70
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• 1999

This paper deals with automated computer-aided process planning by which designers can determine operation sequences even if they have little experience in the design of press working products. The computer-aided process planning in hot forging, deep drawing and blanking requires many kinds of technical and empirical skills based on investigation and collection of the knowledge of their processes. An approach to the CAPP system is based on the knowledge-based rules and the process knowledge base consisting of process planning rules is built. The methodology adopted to develop the system is elaborated in this paper. This system has been written in AutoLISP on the AutoCAD with a personal computer and provides powerful capabilities for process planning of hot forging, cold forging, deep drawing and blanking products.

• Proceedings of the KAIS Fall Conference
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• 2003.11a
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• pp.73-79
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• 2003

In managing organizational tacit knowledge, recent researches have shown that it is more applicable in many ways to provide expert search mechanisms in KMS to pinpoint experts in the organizations with searched expertise. In this paper, we propose an intelligent expert search framework to provide search capabilities for experts in similar or related fields according to the user's information needs. In enabling intelligent expert searches, Fuzzy Abstraction Hierarchy (FAH) framework has been adopted, through which finding experts with similar or related expertise is possible according to the subject field hierarchy defined in the system. To improve FAH, a text categorization approach called Vector Space Model is utilized. To test applicability and practicality of the proposed framework, the prototype system, "Knowledge Portal for Researchers in Science and Technology" sponsored by the Ministry of Science and Technology (MOST) of Korea, was developed.

• Journal of Agricultural Extension & Community Development
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• v.12 no.1
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• pp.109-118
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• 2005

This study was carried out to identify the major characteristics of plug seedling farm's management. Thirty glasshouse farms were surveyed out of 42 farms that adopted plug seedling production technology in Korea. The major objectives of this survey were to determine the technical capability of the glasshouse farmers, and to analyze the significant differences in terms of production performance and management capabilities. The major results of the survey were as follows : 1) The production quantity of plug seedlings of the superior group was 43% higher than the inferior group. 2) The plug seedling loss rate of the superior roup was lower by 4% than the inferior group. 3) The income of superior group was 4.2 million Won per $1,000m^2$, while the income of the inferior group was only 0.45 million Won. 4) The cause of low production of grafted plug seedlings was primarily due to the lack of technical knowledge and skills. 5) The results indicated that the technical knowledge level and production skills of grafting plug seedling should be improved.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.10
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• pp.201-214
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• 2022

Transformational leadership styles are seen as key to inspiring employees to embrace change, as well as to build a sense of responsibility and autonomy at work. This study aims to examine the impact of managers' emotional capacity on transformational leadership behavior in enterprises in Vietnam. Using quantitative research methodology, through exploratory factor analysis (EFA) and linear structure model (SEM), with survey data of 632 samples who are managers of different levels in the enterprise. Research results show that the emotional capacity of managers has both a direct and indirect impact on transformational leadership behavior through the intermediary factors of knowledge sharing at work and corporate social responsibility for employees. Based on that, the study proposes a number of recommendations to promote transformational leadership behavior in enterprises. The findings of this study have demonstrated the importance and impact of managers' emotional capabilities across multiple dimensions of transformational leadership behavior. These are both theoretical and practical contributions that provide managers with greater insight into their emotional capabilities and the need for transformational leadership behaviors. At the same time, the results of this study will also be an important foundation for further research.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.6
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• pp.764-770
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• 2004

This paper presents a hybrid data mining mechanism to extract expert knowledge from historical data and extend expert systems' reasoning capabilities by using fuzzy neural network (FNN)-based learning & rule extraction algorithm. Our hybrid data mining mechanism is based on association rule extraction mechanism, FNN learning and fuzzy rule extraction algorithm. Most of traditional data mining mechanisms are depended ()n association rule extraction algorithm. However, the basic association rule-based data mining systems has not the learning ability. Therefore, there is a problem to extend the knowledge base adaptively. In addition, sequential patterns of association rules can`t represent the complicate fuzzy logic in real-world. To resolve these problems, we suggest the hybrid data mining mechanism based on association rule-based data mining, FNN learning and fuzzy rule extraction algorithm. Our hybrid data mining mechanism is consisted of four phases. First, we use general association rule mining mechanism to develop an initial rule base. Then, in the second phase, we adopt the FNN learning algorithm to extract the hidden relationships or patterns embedded in the historical data. Third, after the learning of FNN, the fuzzy rule extraction algorithm will be used to extract the implicit knowledge from the FNN. Fourth, we will combine the association rules (initial rule base) and fuzzy rules. Implementation results show that the hybrid data mining mechanism can reflect both association rule-based knowledge extraction and FNN-based knowledge extension.