• Journal of the Korean Society of Food Science and Nutrition
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• v.24 no.1
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• pp.10-18
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• 1995

Nutrition knowledge of mothers who had middle-school studients was investigated using questionnaire about nutrition knowledge and food habit. The results were summerized as follows ; The mean score of nutrition knowledge was 25.3 (out of possible-80-80points), which score was slightly lower than those of other studies. the percentage of perceived knowledge and accuracy of the knowledge were 77.7% and 79.6%, respectively. these scores were influenced by general characteristics such as age, education, occupation, income, food expense. With decreasing age and increasing education level, family income, nutritional knowledge score, the percentage of perceived knowledge and accuracy were significantly getting higher. The levels of both perceived knowledge and accuracy on the necessi쇼 of vitamins and minerals were above 90%. However, the accuracy on protein quality and dietary fiber was below 40%. The better food habit a subject had, the higher was the nutrition knowledge score.

• Journal of Information Technology Applications and Management
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• v.17 no.4
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• pp.1-17
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• 2010

As web technologies evolve and so-called Web 2.0 technologies appear, collective intelligence is being applied in widespread areas. In general, mass collective intelligence like Wikipedia is created, revised, and managed by anonymous participants in an uncontrolled system. Thus, the knowledge provided by mass collective intelligence may be distorted, and may not be true, which may affect the user acceptance behavior. However, there have been few academic studies that analyzed the factors that affect user acceptance of mass collective intelligence, and their relationships. Under this academic background, we develop a model to examine how mass collective intelligence is accepted by users. The theoretical model is validated through an online survey of the Wikipedia users from three universities in Korea. The results reveal that the users will have positive attitude towards adopting mass collective knowledge when they perceive that the knowledge from mass collective intelligence is useful. We also find that the perceived usefulness of the knowledge is affected by perceived knowledge quality and trust in knowledge contributors. The results also suggest that perceived knowledge quality is determined by perceived level of collaboration, perceived objectivity, and recipient expertise, whereas trust in knowledge contributors is determined by natural propensity to trust and perceived objectivity. Theoretical and practical implications about mass collective knowledge are discussed.

• Asia pacific journal of information systems
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• v.31 no.3
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• pp.358-377
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• 2021

Knowledge drives business innovation. However, even if companies have the same knowledge element in the business ecosystem, innovation performance varies depending on the structural position of the technical knowledge network. This study investigated whether there is a difference in exploitative innovation according to the structural position of the AI technical knowledge network. We collected patents from the top 100 digital companies registered with the US Patent Office from 2015 to 2019 and classified the companies into knowledge producer-based brokers, knowledge absorber-based brokers, knowledge absorbers, and knowledge producers from the perspective of knowledge creation and flow. The analysis results are as follows. First, a few of the top 100 digital companies disseminate, absorb, and mediate knowledge, while the majority do not. Second, exploitative innovation is the largest, in the order of knowledge producer, knowledge absorber-based broker, knowledge absorber, and knowledge producer-based broker. Finally, patents for industrial intelligence occupy a large proportion, and knowledge producers are leading exploitative innovation. Therefore, latecomers need to expand their resources and capabilities by citing patents owned by leading companies and converge with existing industries into AI-based industries.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.17
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• pp.7501-7506
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• 2015

Background: Oncology nurses play a crucial role in cancer pain management and must be highly informed to ensure their effective practice in the cancer setting. The aim of this study was to determine the baseline level of knowledge and attitudes of oncology nurses regarding cancer pain management. Materials and Methods: A cross-sectional survey research design was employed. The sample comprised 58 cancer nurses working in Shahid Sadoughi hospital, Yazd, Iran. The "Nurses Knowledge and Attitudes Survey Regarding Pain" (NKAS) tool and a demographic form were utilized to ascertain the knowledge and attitudes of oncology nurses working in oncology settings. Results: The average correct response rate for oncology nurses was 66.6%, ranging from 12.1% to 94.8%. The nurses mean score on the knowledge and attitudes survey regarding pain management was 28.5%. Results revealed that the mean percentage score overall was 65.7%. Only 8.6% of nurse participants obtained a passing score of 75% or greater. Widespread knowledge deficits and poor attitudes were noted in this study, particularly regard pharmacological management of pain. Conclusions: The present study provides important information about knowledge deficits in pain management among oncology nurses and limited training regarding pain management. Our results support the universal concern of inadequate knowledge and attitudes of nurses regarding cancer pain. It is suggested educational and quality improvement initiatives in pain management could enhance nurses knowledge in the area of pain and possibly improve practice.

• Knowledge Management Research
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• v.18 no.4
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• pp.119-136
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• 2017

This paper focuses on proactive personality as one of the main personality traits relevant to knowledge sharing and examines how this personal trait influences knowledge sharing behavior. Moreover, in order to consider the interactive effect between proactive personality and a contextual factor, this study utilized the construct of LMXSC which can reveal restoration of resource losses due to knowledge sharing. Because LMXSC can have opposite directions depending on used theories, this study investigates how LMXSC moderates the relationship between proactive personality and knowledge sharing behavior by using conservation of resources theory and trait activation theory. This study tests hypotheses with the data of supervisor-employee dyads in various industries. An empirical results showed that proactive personality increased knowledge sharing behavior and LMXSC strengthened the positive relationship between proactive personality and knowledge sharing behavior as conservation of resources theory predicts. Based on these theoretical arguments and empirical findings, this study suggests theoretical and practical implications, limitations, and the directions of future research.

• Proceedings of the Korea Database Society Conference
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• 1999.06a
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• pp.145-154
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• 1999

An intelligent system embedded with multiple sources of knowledge may provide more robust intelligence with highly ill structured problems than the system with a single source of knowledge. This paper proposes the hybrid knowledge integration mechanism that yields the cooperated knowledge by integrating expert, user, and machine knowledge within the fuzzy logic-driven framework, and then refines it with a genetic algorithm (GA) to enhance the reasoning performance. The proposed knowledge integration mechanism is applied for the prediction of Korea stock price index (KOSPI). Empirical results show that the proposed mechanism can make an intelligent system with the more adaptable and robust intelligence.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 1999.03a
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• pp.145-154
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• 1999

An intelligent system embedded with multiple sources of knowledge may provide more robust intelligence with highly ill structured problems than the system with a single source of knowledge. This paper proposes th hybrid knowledge integration mechanism that yields the cooperated knowledge by integrating expert, user, and machine knowledge within the fuzzy logic-driven framework, and then refines it with a genetic algorithm (GA) to enhance the reasoning performance. The proposed knowledge integration mechanism is applied for the prediction of Korea stock price index (KOSPI). Empirical results show that the proposed mechanism can make an intelligent system with the more adaptable and robust intelligence.

• Journal of Educational Research in Mathematics
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• v.20 no.3
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• pp.357-371
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• 2010

This study aimed to investigate how two eighth-grade mathematics teachers' pedagogical content knowledge is manifested in their classroom instruction. A case study was conducted for the study. The results revealed similarities and differences in the teachers' knowledge manifested in their mathematics classrooms and that the two teachers had slightly different structures of pedagogical content knowledge. One teacher is more dependent on his knowledge of mathematics and knowledge of students' understanding and the other teacher on her knowledge of instructional process and, to a lesser extent, knowledge of mathematics.

• Journal of Korean society of Dental Hygiene
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• v.11 no.5
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• pp.729-739
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• 2011

Objectives : It is important to catch individual characteristics by measuring the level of self-efficacy, radiation safety knowledge, attitudes to increase behavior levels in the radiation safety management(RSM) and we consider this should be applied to the professional program development to improve RSM activities of dental hygienist and students at department of dental hygiene. Methods : This study mentioned mainly self-efficacy, radiation safety knowledge, attitudes for dental hygienists and the second & third year students at department of dental hygiene in Pusan area to provide the correct information associated with the use of radiation and to be aid in the development program to increase behavior levels in the RSM in dental care institutions and schools in the future and performed a survey 8 May to 7 Juiy, 2011. The survey results were as follows Results : 1. The results of self-efficacy is $3.53{\pm}0.42$ points for the dental hygienist and $3.32{\pm}0.40$ points for students(p<0.001). 2. According to the knowledge level of RSM, the result is $11.7{\pm}3.12$ points for the dental hygienist and $9.56{\pm}2.72$ points for students(p<0.001). 3. According to the knowledge level of RSM, the result is $4.40{\pm}0.49$ points for the dental hygienist and $4.22{\pm}0.56$ points for students(p<0.001). 4. According to relationship among self-efficacy, radiation safety knowledge and attitudes, the higher the score for knowledge of RSM was, the higher the score for self-efficacy was. The higher the score for attitudes was, the higher the score for self-efficacy and knowledge was(p<0.01). 5. The factors to affect attitudes about RSM were self-efficacy, knowledge(p<0.01).

• Asia pacific journal of information systems
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• v.6 no.2
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• pp.77-105
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• 1996

The accuracy of knowledge is a major concern for expert system developers and users. Machine learning approaches have recently been found to be useful in knowledge acquisition for expert systems. However, the accuracy of concept acquired from machine learning could not be analyzed in most cases. In this paper we develop a comprehensive knowledge error analysis methodology for practical use of expert systems. Decision tree induction is an important type of machine learning method for business expert systems. Here we start to analyze with knowledge acquired from decision tree induction method, and extend the results to develop error analysis methodology for general machine learning methods. We give several examples and illustrations for these results. We also discuss the applicability of these results to multistrategy learning approaches.