• Journal of Information Technology Applications and Management
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• v.16 no.1
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• pp.137-148
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• 2009

Knowledge management becomes the key point for organizations to survive and maintain competitive advantages in the knowledge economy era. E-learning plays a vital role for the organizational learning. How to share the experience of knowledge and the success of the knowledge management has great connection with the organizational culture. This study focuses on the factors of effective E-learning as well as its relation to the organizational culture. A successful e-learning system should not only aim at different statistical variables but emphasize on : course contents, variety of teaching methods and establishes a stable network environment. A stable E-learning platform and speedy bandwidth is a must to achieve the non-barrier communication and built an interactive learning environment. To achieve success in E-learning, it is not necessary to divide the organizational culture to strengthen the course content multiplication and plans the E-learning supervisory work by the sole responsibility unit. It should establish an ample teaching frequency width and platform and also must establish the appropriate study network frequency width and hardware equipment to achieve the best E-learning effect. The interaction in different organizational culture in adapting E-learning, those Ad-hoc and Marketing Culture, are mostly influence by the external environment and have more interactive content. Those in Clan and Hierarchy Culture are affected by traditional conception and lack of interaction. Meanwhile, under the cost consideration, Clan and Ad-hoc Culture on the dynamic side prefer to spend more cost on E-Learning while the stable side, Hierarchy and Marketing culture are willing to pay more expenses on E-Learning.

• 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.

• The Korean Journal of Food And Nutrition
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• v.26 no.3
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• pp.391-397
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• 2013

This study investigated the knowledge, attitude, and behavior of 280 University students towards nutrition labels. The purpose of the study was to examine knowledge, attitudes, and behaviors of university students regarding nutrition labeling, and whether body mass index (BMI) with nutrition labeling was associated with knowledge, attitudes, and behaviors. Descriptive statistics analyzed knowledge, attitudes, and behaviors of university students regarding food labeling. The ANOVA and ${\chi}^2$ analysis was evaluated and assessed for its relationship with BMI. Pearson's correlation coefficient analysis examined relationships between knowledge, attitudes, and behaviors. More than 90 percent of answers relating to 11 nutritional knowledge questions were correct. Only 30% of participants answered correctly regarding questions about plan source oil and cholesterol content. Attitudes and behaviors of nutrition labels were significantly higher among participants who were obese (p<0.001). Knowledge score was positively correlated with general label usage behavior (r=.169, p<0.01), and item buying behavior (r=0.142, p<0.05). Attitude also was positively correlated with behavior (p<0.01). Nutrition labeling education efforts are needed to provide university students with a nutritional education program and information on how to read nutritional labels and apply this information to their lives. University students need to understand their need for numerous nutrients instead of merely focusing on the fat and calories of foods.

• Korean Journal of Health Education and Promotion
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• v.21 no.4
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• pp.51-62
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• 2004

The purpose of this study was to assess whether the osteoporosis preventive educational program has changed the middle-aged women's knowledge on osteoporosis. A one group pretest-posttest design was used. A total of 27 women (at pretest) and 27 women (at posttest) who were volunteers participated. The intervention program content included lecture and exercise entitled The Prevention of Osteoporosis. This program design consisted of one 3-hour session per week and lasted over 4-week period. Osteoporosis Knowledge Questionnaire (OKQ) was used. The OKQ contains 20 true-false items to measure the knowledge levels about osteoporosis. The Kuder-Richardson test (KR 20), used as an estimate of internal consistency for knowledge, was .7783. Overwhelming majority of the participants (96.2％) were ranging in age from 40 to 60. About half of the participants were college graduates and the majority of them (77.8％) had no jobs. The educational program significantly increased osteoporosis knowledge in middle-aged women. Results of this study shows that educational program is effective in increasing knowledge of osteoporosis. Further study using the same program with different age group is needed to measure knowledge, behavior and attitude on osteoporosis.

• International Journal of Advanced Culture Technology
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• v.12 no.2
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• pp.196-204
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• 2024

This study is a cross-sectional research study that analyzed the relationship between emotional regulation behavior and knowledge related to dementia among various age groups in order to collect basic data to reveal the relationship between the characteristics of emotional regulation of dementia patients before dementia and the symptoms of rapid emotional change after dementia. Data collection was from March 1 to March 20, 2024, and a total of 223 people were voluntarily participating in the study from their 20s to 70s. The collected data were t-test, ANOVA, Pearson correlation, and regression analysis using sps 18.0. The analysis showed that people who normally act pretentiously were not related to dementia-related knowledge, but those who act honestly had an impact on dementia-related content knowledge (t=14.808, p<0.01), treatment knowledge of dementia (t=7.916, p<0.01), and knowledge of nursing dementia (t=12.453, p<0.01) under a statistical significance level. And it was found that the inner behavior of emotional regulation behavior had an effect on dementia knowledge at 49.8%, the effect on treatment knowledge was 22.1%, and the effect on nursing knowledge was 41.2%. (p<0.01). Based on the results of this study, we propose a continuous study on how emotional behavior before dementia is related to rapid emotional change behavior after dementia disease.

• ETRI Journal
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• v.36 no.3
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• pp.418-428
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• 2014

In social network services, such as Facebook, Google+, Twitter, and certain postings attract more people than others. In this paper, we propose a novel method for predicting the lifespan and retweet times of tweets, the latter being a proxy for measuring the popularity of a tweet. We extract information from retweet graphs, such as posting times; and social, local, and content features, so as to construct prediction knowledge bases. Tweets with a similar topic, retweet pattern, and properties are sequentially extracted from the knowledge base and then used to make a prediction. To evaluate the performance of our model, we collected tweets on Twitter from June 2012 to October 2012. We compared our model with conventional models according to the prediction goal. For the lifespan prediction of a tweet, our model can reduce the time tolerance of a tweet lifespan by about four hours, compared with conventional models. In terms of prediction of the retweet times, our model achieved a significantly outstanding precision of about 50%, which is much higher than two of the conventional models showing a precision of around 30% and 20%, respectively.

• Journal of Information Science Theory and Practice
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• v.5 no.4
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• pp.26-38
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• 2017

Even through many professional organizations increasingly use Q&A sites in their online communities for information sharing, there are few studies which examine what is really going on in the Q&A activities in professional online communities (POC). This study aims to examine the interaction patterns and contents posted in the Q&A site of a POC, KOSEN, a science and technology online community in South Korea, focusing on how actively scientific information and knowledge are shared. The interaction patterns among the participants were identified through social network analysis (SNA) and the contents in the Q&As were examined by content analysis. The results show that the overall network indicated a moderate level of participation and connection and answerers especially tended to be active. Also, there are different interaction patterns depending on academic fields. Relatively few participants were posting leaders who seemed to steer the overall interactions. Furthermore, some content related to manipulation and explanation for experiments, which are in urgent need, seem to be posted in the sites more frequently with more amounts. Combining both SNA and content analysis, this study demonstrated how actively information and knowledge is shared and what types of contents are exchanged. The findings have practical implications for POC managers and practitioners.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.499-506
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• 2020

The study examines the influence of individual characteristics, training content, and manager support on the effectiveness of on-the-job (OJT) training in the banking and finance industry. A simple random sampling technique was used to select the samples. Questionnaires were distributed to respondents in order to obtain the data. Using cross-sectional data obtained from 396 respondents in Bank A in Malaysia, the multiple regression results show that self-efficacy, motivation to learn, training content, and manager support have positive influence on OJT training effectiveness. Among all these factors, manager support is very highly correlated with OJT training effectiveness. The findings have given fruitful insight of the crucial roles of OJT training in the respective bank, particularly to bring forward the roles of systematic design and implementation of OJT training. This study is not only expanding knowledge in OJT and training, but offers managers practical insights in developing good OJT training program by considering employees need, capabilities, skills and job requirement. Furthermore, this study also provides a valuable framework in identifying the effectiveness of OJT training program for certain jobs. Further discussion of the research findings and its implications to theoretical knowledge of training and managers are promised at the end of the article.

• Proceedings of the Korea Society of Mathematical Education Conference
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• 2006.10a
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• pp.215-217
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• 2006

• Journal of Korean Elementary Science Education
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• v.42 no.1
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• pp.1-16
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• 2023

This study investigated the level of academic passion for pre-service elementary teachers' science pedagogical content knowledge (PCK) and the factors that influence the passion. To this end, 182 first to fourth grade students in advanced non-science majors who were taking science-related courses in the second semester were selected, and two tests were then administered to evaluate their academic passions for science subject matter knowledge and science pedagogical knowledge. Individual in-depth interviews were also conducted with some of the participants. It was found that the factors such as "importance" and "harmonious passion" for learning science subject matter knowledge and science pedagogical knowledge were found at a high level. On the other hand, the factors such as "like" and "investment of time and energy" were slightly higher than normal, and the factor such as "obsessive passion" was slightly lower than normal. The differences in academic passion for science subject matter knowledge and science pedagogical knowledge were greater according to the high school track than the grade. The pre-service elementary teachers selected more often the factors such as "individual interests", "high school track", "contents of science-related courses at the university of education", "characteristics of professor in charge of science-related courses at the university of education", and "experience in teaching practicum" as the factors that influenced their academic passion for science subject matter knowledge and science pedagogical knowledge. However, there was a slight difference in the selection ratio depending on the high school track.