• Knowledge Management Research
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• v.16 no.2
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• pp.67-89
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• 2015

Improving productivity of knowledge workers is an important issue in the 21st century referred as knowledge-based society. The core key word is knowledge sharing among constituents of an organization. The purpose of this study is to combine the social network position factors with attitude and behavior factors, and develop an integrated research model for the knowledge sharing among members of an organization. This study adopted the integrated theoretical framework based on social capital, self-efficacy, transactive memory, and knowledge sharing. Surveys were conducted to 42 organizational members from a department in a leading IT outsourcing company to empirically test the proposed research model. In order to validate the proposed research model, social network analysis tool, UCINET, a structural equation modeling tool, SmartPLS, were utilized. The empirical result showed that, first of all, organizational members' familiarity network position had significant influence on knowledge self-efficacy and transactive memory capability. Second, knowledge self-efficacy and transactive memory capability affected knowledge sharing intention. Third, knowledge sharing intention also had an impact on the job performance. However, organizational members' expertise network position had no significant influence on knowledge self-efficacy and transactive memory capability. This finding reveals the importance of the emotional approach rather than the rational approach in knowledge management. The theoretical and practical implications on the research findings were discussed along with limitations.

• Journal of the Microelectronics and Packaging Society
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• v.8 no.3
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• pp.11-17
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• 2001

The design and manufacture of injection molded polymeric parts with desired properties is a costly process dominated by empiricism, including the repeated modification of actual tooling. This paper presents an expert design evaluation system which can predict the mechanical performance of a molded product and diagnose the design before the actual mold is machined. The knowledge-based system synergistically combines a rule-based expert system with CAE programs. Heuristic knowledge of injection molding is formalized as rules of an expert consultation system. The expert system interprets the analytical results of the process simulation, predicts the performance, evaluates the design and generates recommendations for optimal design alternatives.

• Knowledge Management Research
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• v.5 no.1
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• pp.19-38
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• 2004

The present paper examines the effect of "community of learning" factors as well as learning and contextual factors on the e-learning performance empirically. The concept of community of learning, which was derived from community of practice, has not been emphasized in previous studies on e-learning. Data were collected from 226 people who had experienced e-learning and multiple regression analysis was used to analyze the data. The results are as follows; First, learning motivation and appropriateness of learning contents, ease of system use, and knowledge sharing have a positive effect on learner's satisfaction. Whereas, learning motivation, appropriateness of learning contents, ease of system use, knowledge sharing, and activated communication are appeared to affect the ability of performing tasks significantly.

• Journal of the Korean Society of Food Science and Nutrition
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• v.42 no.7
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• pp.1139-1147
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• 2013

The purpose of this study was to analyze the relationship between sanitary knowledge score and sanitary management performance among school foodservice employees. For this purpose, a paper-based questionnaire was developed and distributed to 300 school foodservice employees in Jinhae-gu, Changwon from May 13 to June 10 in 2009. A total of 276 responses were received and analyzed. The results of this study were as follows. The sanitary knowledge score of school foodservice employees was 16.60 (total score: 20). Their sanitary management performance level was 4.77 (based on a 5-point Likert scale). We found that sanitary management performance level of high sanitary knowledge score group was significantly higher than that of low sanitary knowledge score group (P<0.001). There was a significant positive correlation between sanitary knowledge score and sanitary management performance of school foodservice employees (P<0.01). Regression analysis showed that sanitary knowledge score of school foodservice employees had a positive effect on sanitary management performance (P<0.001). It implies that as school foodservice employees' sanitary knowledge increased, their sanitary management performance increased. In conclusion, to improve the sanitary quality of school foodservice, school foodservice employees' sanitary management performance level should be increased by improving their sanitary knowledge. So, a systematic and consistent sanitary education program should be conducted for school foodservice employees.

• Knowledge Management Research
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• v.16 no.2
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• pp.193-212
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• 2015

A corporate university (CU) is an educational institution established by an organization whose primary purpose is not education. Traditionally, a CU is considered a training facility to improve organizational performance. However, the proliferation of the CU has engendered its diverse purposes, roles, and forms. This study attempts to identify three types of the existing CUs: (a) a CU to improve organizational performance; (b) a CU to satisfy employees' learning needs; and (c) a CU to develop a competent national workforce. Also, this study suggests a holistic CU model including the three CU types. In order to transform a CU to a multifunctional CU embracing all three types of CU, organizations should (a) provide communication and collaboration channels, (b) present clear organizational goals, (c) establish organizational policies/systems to encourage learning in CUs, and (d) devise an effective approach to evaluate the impact of CUs. Organization' s critical roles in the development of CUs can assist CUs in becoming the core of knowledge management.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.479-481
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• 2023

Generative Adversarial Networks (GANs) have facilitated substantial improvement in single-image super-resolution (SR) by enabling the generation of photo-realistic images. However, the high memory requirements of GAN-based SRs (mainly generators) lead to reduced performance and increased energy consumption, making it difficult to implement them onto resource-constricted devices. In this study, we propose an efficient and compressed architecture for the SR-GAN (generator) model using the model compression technique Knowledge Distillation. Our approach involves the transmission of knowledge from a heavy network to a lightweight one, which reduces the storage requirement of the model by 58% with also an increase in their performance. Experimental results on various benchmarks indicate that our proposed compressed model enhances performance with an increase in PSNR, SSIM, and image quality respectively for x4 super-resolution tasks.

• Architectural research
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• v.12 no.2
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• pp.85-92
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• 2010

In recent years, construction projects have been forced to cope with lack of skilled labor and increasing hazard circumstance of human operations. A construction robotic system has been frequently accomplished as one alterative for overcoming these difficulties in increasing construction quality, enhancing productivity, and improving safety. However, while the complexity of such a system increases, there are few ways to carry out an assessment of the system. This paper introduces a knowledge-based multi-criteria decision-making process to assist decision makers in systematically evaluating an automated system for a given project and quantifying its system performance index. The model employs linguistic terms and fuzzy numbers in attempts to deal with the vagueness inherent in experts' or decision makers' subjective opinions, considering the contribution resulted from their knowledge on a decision problem. As an illustrative case, the system, called Robotic-based Construction Automation, for constructing steel erection of high-rise buildings was applied into this model. The results show the model's capacities and imply the application to other extended types of construction robotic systems.

• Knowledge Management Research
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• v.16 no.1
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• pp.143-170
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• 2015

In the rapidly changing business environment, companies are introducing information technology to effectively manage internal resources in order to achieve a sustainable competitive advantage. We presented the Enterprise Social Network Service(SNS) as new information technology. Enterprise SNS provided employers with sociable functions like Facebook while supporting general task such as mail, authorization and notice. In this research, we focused on Enterprise SNS and suggested self-disclosure, enjoyment in helping others, perceived organizational support, generativity capacity as antecedent variables of Enterprise SNS usage. In addition, we verified the effect of the mediating role of generativity capacity between Enterprise SNS usage and job performance. For empirically verifying the proposed model, we collected sample data from 225 workers using Enterprise SNS and conducted analysis using a structural equation modeling. We expect that this study provides managers who are interested in introducing enterprise SNS with insights on how to facilitate enterprise SNS usage. Also, this study suggests useful theoretical implications to researchers who are interested in the use of enterprise SNS from the context of knowledge management.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.9
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• pp.4227-4239
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• 2013

Knowledge transfer occurs in various social contexts, within individuals and groups, and, thus, is closely linked to social networks in an organization. This paper applies social network theory and social identity theory to knowledge management area. The subject of this study was organization members who transfer their knowledge. 296 questionnaires were collected and analyzed. The results are as follows. First, in-group and out-group's tie strength have a significant effect on knowledge transfer. Second, the study shows that the knowledge transfer influences positively individual, team and organizational performance. Lastly, the study verifies that the applied knowledge has a moderating effect on the relationship of the in-group's tie strength and knowledge transfer.

• Journal of Information Technology Applications and Management
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• v.15 no.3
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• pp.275-286
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• 2008

Employing a sample of 126 suppliers in Korean electronic industry, this research examined the effects of institutional environment, social capital and strategic importance in manufacturer-supplier relationships on knowledge sharing. Building on the relational view and knowledge-based theories, this study proposed that these factors facilitate knowledge sharing in manufacturer-supplier relationships and that knowledge mediates satisfaction between manufacturer-supplier relationships for competitive advantage. Results indicate that institutional environment, social capital and strategic importance in manufacturer-supplier relationships are indeed associated with greater knowledge sharing. Inter-firm satisfaction is, in turn, positively associated with knowledge sharing for competitive advantage through technical support, financial support, competence increasing. Further, results provide evidence that knowledge sharing plays a mediating role between institutional environment, social capital, strategic importance and inter-firm satisfaction.