• Journal of the Korea Convergence Society
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• v.12 no.12
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• pp.197-211
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• 2021

The emergence of knowledge-sharing live streamers provides more diversified content to the live streaming platform. Analysis of the factors affecting the intention to use knowledge sharing live streaming users can allow the live streaming platform to understand better the adoption characteristics of users who follow this type of content. Help platform operators provide better services and help live streaming platforms innovate. Based on the TAM model, this research uses questionnaire surveys and structural equation models to construct a conceptual model of the influencing factors of users' intentions in the knowledge sharing live streaming and conduct an empirical analysis on the influencing factor models. The results of data analysis show that a significant influence of users' attitudes of knowledge sharing live streaming is perceived usefulness, followed by flow experience; perceived value has a positive impact on users' attitudes and intention to use, and the positive influence of users attitude significantly affect the user's intention.

• Journal of the Korean Society for Precision Engineering
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• v.16 no.12
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• pp.230-238
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• 1999

This paper describes a research work of developing computer-aided design of lead frame, semiconductor, with blanking operation which is very precise for progressive working. Approach to the system is based on the knowledge-based rules. Knowledge for the system is formulated from plasticity theories, experimental results and the empirical knowledge of field experts. This system has been written in AutoLISP on the AutoCAD using a personal computer and in I-DEAS Drafting Programming Language on the I-DEAS Master Series Drafting with Workstation, HP9000/715(64) and tool kit on the ESPRIT. Transference of data among AutoCAD, I-DEAS Master Series Drafting, and ESPRIT is accomplished by DXF(drawing exchange format) and IGES(initial graphics exchange specification) methods. This system is composed of six modules, which are input and shape treatment, production feasibility check, strip-layout, die-layout, modelling, and post-processor modules. The system can design process planning and Die design considering several factors and generate NC data automatically according to drawings of die-layout module. As forming process of high precision product and die design system using 2-D geometry recognition are integrated with technology of process planning, die design, and CAE analysis, standardization of die part in die design and process planning of high pression product for semiconductor lead frame is possible to set. Results carried out in each module will provide efficiencies to the designer and the manufacturer of lead frame, semiconductor.

• Journal of Information Technology Applications and Management
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• v.17 no.4
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• pp.19-38
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• 2010

This paper investigates the effect of stress on knowledge creation. The goal stress of resource inadequacy and job stress had negative influences on knowledge creation. However, the cohesion and mastery climate of team had positive influence on knowledge creation. Therefore this paper verifies the moderate role of the cohesion and mastery climate of team on the relationship between stress and knowledge creation. The model developed was tested using data collected from knowledge based industry with 375 members in 69 teams in 12 different firms. A Hierarchical Linear Model (HLM) was used to test the hypotheses generated from the model. Results show that job stress had a negative influence on knowledge creation as we expected but the goal stress didn't. The mastery climate of team affected knowledge creation positively and moderated the relationship between the goal stress and knowledge creation. Furthermore, the team cohesion had a positive influence on knowledge creation. The study provided some implications that practitioners should consider the stress when they design jobs for team members and suggest them the way to manage their job stress when they work.

• Journal of Korea Trade
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• v.27 no.5
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• pp.91-112
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• 2023

Purpose - This study empirically investigates how the effects of localized knowledge spillovers on technology adoption are conditional on the organizational capabilities of potential adopters. Design/methodology - The empirical model utilized in this study examines how the presence of prior adopters of advanced manufacturing technologies affects a plant's technology adoption decision differently based on its organizational capabilities, measured by plant size and plant status (single-plant firm vs. multi-plant firm). Moreover, this study investigates how the scope of knowledge spillovers from prior adopters, both in terms of geographical and functional proximities, differ for plants with different organizational capabilities. Findings - The main findings of this study are as follows: 1. Although plants with lower organizational capabilities are less likely to adopt advanced technologies, such plants receive greater marginal benefits from knowledge spillovers from prior adopters in their region. 2. Plants with greater organizational capabilities can benefit from knowledge spillovers from a wider set of prior adopters. In other words, while plants with lower organizational capabilities tend to benefit from knowledge spillovers from "similar" and "local" adopters, plants with greater organizational capabilities can also benefit from knowledge spillovers from "not-too-similar" or are geographically distant prior adopters. Originality/value - While existing studies mainly focus on the effects of the various kinds of regional agglomeration, few studies investigate localized knowledge spillovers in technology adoption. Moreover, no prior studies have explored how the effects of knowledge spillovers on technology adoption depend on a plant's organizational capabilities and how the scope of knowledge spillovers differs for plants with different organizational capabilities. This study is the first to empirically investigate this topic.

• Journal of The Korean Association For Science Education
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• v.40 no.3
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• pp.307-320
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• 2020

This study explores how the positioning of two pre-service science teachers (PSTs) is reflected in their different epistemic understandings of inquiry-based lessons. We collected the PSTs' products during their design and enactment of an inquiry-based lesson and recorded their practices in the enacted lesson. Interviews were recorded and transcribed for analysis. The results indicate that one PST, Dohyung was positioned as a subject of evaluation throughout the course and the other, Jinwoo, was positioned as a preservice teacher and a subject of evaluation. Their positions were reflected in their epistemic understandings of inquiry-based lessons, which were developed when designing these lessons. During lesson design, both PSTs showed a shared understanding; they explained inquiry-based lessons as students setting and evaluating hypotheses under teachers' guidance. However, as they faced unexpected situations during lesson enactment, they developed different epistemic understandings. To receive a good grade, Dohyung showed a strong preference for anticipating situations that could occur in class and planning responses to them. He understood inquiry-based lessons as ones in which students conduct experiments to produce results expected by the teacher. On the other hand, Jinwoo emphasized the reasoning process based on students' prior knowledge and explained inquiry-based lessons as ones in which students construct new knowledge through a scientific reasoning process based on their knowledge. The findings of this study will contribute to developing strategies to support PSTs' development of their epistemic understandings of knowledge construction in inquiry-based lessons.

• Journal of the Korea Safety Management & Science
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• v.15 no.3
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• pp.133-141
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• 2013

As a work analysis technique, Work Domain Analysis (WDA) aims to identify the design knowledge structure of a work domain that human operators interact with through human-system interfaces. Abstraction hierarchy (AH) is a multi-level, hierarchical knowledge representation framework for modeling the functional structure of any kinds of systems. Thus, WDA based on AH aims to identify the functional knowledge structure of a work domain. AH has been used in a range of work domains and problems to model their functional knowledge structure and has proven its generality and usefulness. However, many of researchers and system designers have reported that it is never easy to understand the concepts underlying AH and use it effectively for WDA. This would be because WDA is a form of work analysis that is different from other types of work analysis techniques such as task analysis and AH has several unique characteristics that are differentiated from other types of function analysis techniques used in systems engineering. With this issue in mind, this paper introduces the concepts of WDA based on AH and offers a comprehensive list of references. Next, this paper proposes a set of principles for effectively applying AH for work domain analysis, which are developed based on the author's experiences, consultation with experts, and literature reviews.

• The Journal of Korean Academic Society of Nursing Education
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• v.20 no.2
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• pp.203-211
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• 2014

Purpose: This study was conducted to compare the effects of simulation-based training on knowledge, self-efficacy and clinical performance, underwent before or after the clinical practice for the nursing students. Method: A comparison group design was established with pre-clinical practice group (n=34) and post-clinical practice group (n=34). Both groups participated in simulation-based training before or after the clinical practice at the recovery room. Chi-square test, t-test and paired t-test were performed to analyze the data. Results: Both groups showed significantly higher post-test scores in knowledge and self-efficacy than pre-test scores (p<.001). The group with simulation training performed before their clinical practice (pre-clinical practice group) showed significantly higher self-efficacy (p=.044) than the group with simulation training done after their clinical practice (post-clinical practice group). However, there was no significant difference in the knowledge (p=.922) and clinical performance (p=.887). Conclusion: These findings of the study suggest that simulation based training in pre-clinical practice is effective to enhance the self-efficacy and to improve knowledge and clinical performance of the nursing students.

• Journal of Korean Academy of Nursing
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• v.42 no.3
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• pp.322-332
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• 2012

Purpose: This study was conducted to examine effects of a small group-based cardiocerebrovascular disease (CVD) prevention education program on knowledge, stage of change and health behavior among male bus drivers with CVD risk factors. Methods: A non-equivalent control group pretest-posttest design was used. Participants were 68 male bus drivers recruited from two urban bus companies. Participants from the two groups were selected by matching age, education and risk factors. Experimental group (n=34) received a small group-based CVD prevention education program 8 times over 6 weeks and 3 times through telephone interviews at 2-week intervals. Data were collected between December, 2010 and March, 2011, and were analyzed using chi-square test, t-test, and repeated measure analysis of variance with SPSS/Win18.0. Results: Experimental group showed significantly higher scores in CVD prevention knowledge (p<.001) and health behavior (p<.001) at 6 and 12 weeks after intervention. Participants in pre-contemplation and contemplation stages made progress to contemplation and action. This was significantly better at 6 and 12 weeks after intervention (p<.001). Conclusion: Results suggest that small group-based education programs for CVD prevention are effective in increasing knowledge, stage of change, and health behavior to prevent CVD among male bus drivers with CVD risk.

• Journal of the Korean Institute of Intelligent Systems
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• v.11 no.7
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• pp.603-610
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• 2001

Industrial processes are normally operated by skilled humans who have the cumulative and logical information about the system. Fuzzy control has been investigated for many application. Intelligent control approaches based on fuzzy logic have a chance to include human thinking. This paper represents modeling approach based upon operators knowledge without mathematical model of the system and optimize the controller. The experimented system is constructed for sending a ball to the goal position using wind of two DC motors in the predefined path. A vision camera to mimic human eyes detects the ball position. The system used in this experiment could be hardly modeled by mathematical methods and ould not be easily controlled by conventional manners. The controller is designed based on the input-output data and experimental knowledge obtained by trials, and optimized under the predefined performance criterion. And this paper shows the data adaptation for changeable operating condition. When the system is driven in the abnormal condition with unconsidered noise, the new optimal operating parameters could be defined by adjusting membership functions. Thus, this technique could be applied in industrial fields.

• Archives of design research
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• v.15 no.1
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• pp.59-67
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• 2002

In accordance with the fast changing circumstance, universities are now reaching, beyond the education place of simple delivery of knowledge and exchange of information, to a place of developing a specialty program related with the region and industry to achieve a competitive edge in education. Through these academic-industrial collaboration program, special knowledge and human resources in the university are utilized in the society and it may contribute to the development of industry and breed of career people based upon the real job site can be achieved. In addition, through the practical operation of such developed program, university may contribute to the enhancement of the competitiveness of the corporation to the activation and acceleration of the regional economy and finally to the enhancement of competitiveness of national industry in international level. This study tries to develop 3 technical instruction and support program related with the legion and industry which may conform to the ideals of university and its goal of education and can provide a platform for the education that is closely related with the regional industry and real job site iud may cope actively with the upcoming knowledge society and fast changing regional circumstances. This study will make research and analyze needs of design support from the industry in order to develop a academic-industrial cooperative design support program for the furniture industry which conforms to the regional characteristic and feature and develop and present contents of program in three area of development of furniture design technology, build-up of furniture design information system and establishment of order based education system. The proposed program is supposed to be operated practically and effectively and contribute to the development of new product, to enhancement of company image and finally to the maximization of corporate profit. Also this study is epected to be used as an important material for establishment of order-based education system which confirms to the job site needs that may be analysed from feedback of product results and for practical learning.