• The Journal of the Korea Contents Association
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• v.22 no.4
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• pp.620-633
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• 2022

The purpose of this study is to examine how SMEs' perception of organizational support affects turnover intention, and to investigate the moderating effect of abusive supervisionin the relationship between organizational support perception and turnover intention. As a result of the analysis of the study, First, it was confirmed that organizational support perception had a negative (-) effect on turnover intention. Second, the higher the organizational support awareness, the lower the turnover intention, but when the abusive supervision in intervened, it was found that the organizational support perception offsets the effect that reduces the turnover intention again. That is, emotional support, turnover intention still appeared even if the abusive supervisionin was involved, but instrumental support had no effect on turnover intention when the abusive supervisionin was involved. This study is meaningful in that it expanded the scope of manufacturing services, semiconductors, and IT industries of SMEs with high turnover intentions.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.5
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• pp.91-104
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• 2016

The major results of the study are as follows: First, the accomplishement needs and academic self-efficacy enables students with start-up education through studying immersion and entrepreneurship to set up realistic objectives for personal life and resolving unpredictable problems. Second, creativity does not significantly affect studying immersion, but the higher the creativity of students participating in start-up education, the higher the entrepreneurship compare to studying immersion. Third, studying immersion has a significant impact on entrepreneurship, but has less impact on student's intention for start-up. Students with higher studying immersion through start-up education has higher entrepreneurship spirit and as a result, higher intention for start-up. Finally, the limitation of the study was that the sample was taken only from the freshman of Soonchunhyang University. Therefore, further study is needed for students from all university with start-up education.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.4
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• pp.239-247
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• 2013

This study is aimed to perform the qualitative evaluation based on the ARCS Model of educational mobile applications for smart phones. The evaluation has been performed targeting 60 students who attending the subject of informational education in 3 different universities in 2012 by allowing them to select the available educational mobile App installed in their smart phone. After, the level of persistent learning-intension from each student and the efficacy of ARCS motivational strategy was measured at learner's perspective. The structural equation model(SEM) was established and analyzed with PLS method to understand the relationship between the ARCS motivational strategy and the persistent learning-intension. The results of the study could be summarized as followings. First, the educational mobile App in various the motivational strategies showed different results that is the highest attention as well as the lowest satisfactory level. Second, the relevance in motivation strategies had the statistically significant effect in attention, confidence, and satisfaction. On the other hand, the other factors of attention, relevance, and confidence showed statistically significant effect in satisfaction. Finally, result demonstrate that the relevance is the critical factor inducing the significant effect in persistent learning-intension among the motivational strategies.

• Journal of Korea Society of Industrial Information Systems
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• v.28 no.2
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• pp.77-94
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• 2023

This study aims to determine the factors that affect learning satisfaction and continuous use intention in metaverse-based non-face-to-face classes. Therefore, a hypothesis was established based on the technology acceptance model and information system success model, and a survey was conducted from November 22, 2021 to January 03, 2022 for students who had class experience using Gather.town-a metaverse platform. PLS Structural Equation was conducted on 122 copies, excluding the questionnaires with insincere responses. The results reveal that "all platform quality" factors influenced "easiness," "content quality" influenced "usefulness," "easiness" influenced "usefulness," "easiness" and "usefulness" influenced "learning satisfaction," "usefulness" and "learning satisfaction" had a positive effect on "continuous use intention." This study is significant because it empirically analyzes the variables that affect learning satisfaction and continuous use intention in metaverse-based non-face-to-face classes. In follow-up studies, additional research is required on the variables that affect learning satisfaction and continuous use intention targeting various metaverse-based platforms, including Gather.town.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.40 no.4
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• pp.193-205
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• 2003

There has been so many research activities about robot soccer system in the many research fields, for example, intelligent control, communication, computer technology, sensor technology, image processing, mechatronics. Especially researchers research strategy for attacking in the field of strategy, and develop intelligent strategy. Then, soccer robots cannot defense completely and efficiently by using simple defense strategy. Therefore, intention extraction of attacker is needed for efficient defense. In this thesis, intention extractor of soccer robots is designed and developed based on FMMNN(Fuzzy Min-Max Neural networks ). First, intention for soccer robot system is defined, and intention extraction for soccer robot system is explained.. Next, FMMNN based intention extractor for soccer robot system is determined. FMMNN is one of the pattern classification method and have several advantages: on-line adaptation, short training time, soft decision. Therefore, FMMNN is suitable for soccer robot system having dynamic environment. Observer extracts attack intention of opponents by using this intention exactor, and this intention extractor is also used for analyzing strategy of opponent team. The capability of developed intention extractor is verified by simulation of 3 vs. 3 robot succor simulator. It was confirmed that the rates of intention extraction each experiment increase.

• Journal of the Korean Society for information Management
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• v.39 no.2
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• pp.61-86
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• 2022

The purpose of this study is to investigate the effect of learning space Servicescape on the user satisfaction level and continuance intention and to identify moderating effect of the learning activity. The six Servicescape factors are selected after literature review and in-depth interviews; cleanliness, comfort, convenience, aesthetics, accessibility, and flexibility. The online survey is given to the university students at four-year private universities in Seoul metropolitan area. The result shows that among the learning space Servicescape factors, cleanliness, comfort, convenience, and accessibility have a significant impact on the user's satisfaction and the user's satisfaction response determines the continuance intention to the learning space. It is also found that the factors of cleanliness and comfort have a negative moderating effect on user satisfaction. This study implies that the result provides methods to develop the space arrangement for university libraries that provide the better-support to students' learning experience.

• The KIPS Transactions:PartB
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• v.8B no.6
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• pp.657-668
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• 2001

It is difficult that web documents are classified with exact user intention because existing document classification systems are based on word frequency number using single keyword. To improve this defect, first, we use keyword, a query, domain knowledge. Like explanation based learning, first, query is analyzed with knowledge based information and then structured user intention information is extracted. We use this intention tree in the course of existing word frequency number based document classification as user information and constraints. Thus, we can classify web documents with more exact user intention. In classifying document, structured user intention information is helpful to keep more documents and information which can be lost in the system using single keyword information. Our hybrid approach integrating user intention information with existing statistics and probability method is more efficient to decide direction and range of document category than existing word frequency approach.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2011.11a
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• pp.342-343
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• 2011

미디어 디지털컨버전스 환경에서 교육을 수용하는 도구로서 e-Book은 향후 더 많은 확산이 기대되어진다. 본 연구에서는 학습자의 학습도구로서 e-Book과 종이책의 수용 의도를 뇌파를 분석(자기조절지수, 기초율동지수, 주의지수, 활성지수, 정서지수, 항스트레스지수, 좌우뇌균형지수, 브레인지수 분석)하여 실험하였으며, e-Book을 사용후, 성별에 상관없이 내외적 환경 요인으로 인한 육체적, 정신적 피로도에 대한 저항력을 나타내는 항스트레스 지수가 낮아지는 결과를 얻었다. 향후, 본 연구를 기반으로 개선방향을 찾을 필요가 있다.

• Annual Conference on Human and Language Technology
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• 2012.10a
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• pp.157-159
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• 2012

화자의 의도를 결정하는 문제는 대화 시스템에서 핵심적인 부분이다. 기존의 연구에서는 모델의 간소화를 위해 화자의 의도를 화행과 개념이라는 두 요소로 분리하여 분석하였다. 하지만 두 요소는 서로 밀접하게 관련되어 있기 때문에 모델의 간소화는 의도 분석 성능 저하의 원인이 되었다. 이런 문제점을 해결하기 위해 본 논문에서는 화자 의도 분류를 위한 재학습 방법을 제안한다. 제안된 방법은 화자의 의도를 분석하기 위해 화행 분류 모델과 개념열 분석 모델로 분리하여 분석한다. 학습 단계에서 화행 분류 모델은 개념열 분류 결과를 입력으로 사용하고 개념열 역시 마찬가지로 적용하였다. 목적 지항 대화를 대상으로 한 실험에서 제안된 시스템은 화자 의도 분류에서 최대엔트로피 모델과 지지 벡터 기계의 성능을 효과적으로 향상시켰다.

• The Journal of the Korea Contents Association
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• v.16 no.11
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• pp.1-10
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• 2016

This paper focus on the digital media quality of one source multi-use for the vitalization of Korean classical literature. This paper examines the structural relationship between the quality of digital media and learning satisfaction/sustainable use intention through digital media. For this we used the case of The 'Encyclopedia of Korean Local Culture(www.grandculture.net)'. Thus we conducted a survey of 418 high school students attending a classical literature class which used the local culture DB. The result of this study demonstrates that quality of media content and media service quality affect the learning satisfaction even if media system quality does not affect the learning satisfaction. Learning satisfaction affect strongly. The result of multi regression showed that system quality increased the learning satisfaction in the high group, but system quality did not effect the learning satisfaction in the low group. These results indicate that if system quality is enhanced, learning satisfaction will be slightly increased, and if quality of contents and services is enhanced, learning satisfaction will be strongly increased.