• Knowledge Management Research
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• v.20 no.4
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• pp.75-97
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• 2019

In the rapidly changing business environment, knowledge has been recognized as a core asset for sustaining an organization's competitive advantage. In addition, knowledge sharing is one of the key elements of knowledge management, emphasizing external knowledge sharing beyond initial internal knowledge sharing. However, while knowledge management research emphasizes knowledge sharing, which is a positive aspect, research on preventing knowledge leakage that can have negative consequences is relatively lacking. Companies have tried to minimize the negative effects of knowledge management but many knowledge leakage accidents are still occurring. Therefore, this study aims to examine the effects of external factors based on deterrence theory and internal factors based on self-determination theory on knowledge leakage intention focusing on tacit knowledge. The results of the empirical analysis of 100 data sets collected through a scenario-based survey show that certainty of sanctions, social disapproval, and competence are found to have a significant effect on reducing tacit knowledge leakage intention. Furthermore, informal sanctions have a greater impact on tacit knowledge leakage intention than formal sanctions and external factors have a greater effect on tacit knowledge leakage intention than internal factors.

• The Journal of the Korea Contents Association
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• v.14 no.5
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• pp.411-424
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• 2014

This study tries to establish the evaluation standards of the service quality of local cultural festivals in an effort to identify public awareness of those festivals. Also, based on the importance-performance importance-performance analysis on the service quality, this research is aimed at finding ways to enhance service quality and to improve operation plans in more efficient ways for the maximization of visitors' use of festivals. Ultimately, the current study seeks to make a contribution to improving the quality of local cultural festivals. The results of the correspondence t-test analysis of importance and performance revealed that significant differences were found in following items of five factors; 1) in the responsiveness factor, the presence or absence of rest space, facility guide, communication, and installation of public restroom/cleanliness 2) in the certainty factor, food prices and staff members' kindness 3) in the reliability factor, all items including festival pamphlets (to the festival venue), guidance facilities/signposts, hospitality, schedule information, and quick responses 4) in the tangibility factor as well, all items such as the awareness of local culture, benefits, and storytelling 5) in the empathy factor, diversity of events and festival contents.

• Journal of the military operations research society of Korea
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• v.23 no.2
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• pp.45-71
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• 1997

There has been considerable research recently on uncertainty handling in the fields of artificial intelligence and knowledge-based system. Various numerical and non-numerical methods have been proposed for representing and propagating uncertainty in knowledge-based system. The Bayesian method, the Dempster-Shafer's Evidence Theory, the Certainty Factor model and the Fuzzy Set Theory are most frequently appeared in the knowledge-based system. Each of these four methods views uncertainty from a different perspective and propagates it differently. There is no single method which can handle uncertainty properly in all kinds of knowledge-based systems' domain. Therefore a knowledge-based system will work more effectively when the uncertainty handling method in the system fits to the system's environment. This paper proposed a framework for selecting proper uncertainty handling methods in knowledge-based system with respect to characteristics of problem domain and cognitive styles of experts. A schema with strategic/operational and unstructured/structured classification is employed to differenciate domain. And a schema with systematic/intuitive and preceptive/receptive classification is employed to differenciate experts' cognitive style. The characteristics of uncertainty handling methods are compared with characteristics of problem domains and cognitive styles respectively. Then a proper uncertainty handling method is proposed for each category.

• Magazine of the Korean Society of Agricultural Engineers
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• v.36 no.1
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• pp.95-102
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• 1994

Since parameters influencing the indoor environment of livestock building interrelate so complicatedly, it is of great difficulty to identify the exact cause of environmental problems in a livestock building. Therefore, the approaches for the problem solving based on experience not numerical calculation will be helpful to the management of livestock building This study was attempt to develop the decision supporting system to diagnose environmen- tal problems in a livestock building based on an expert system and a neural network. HClips$^3$), attaching the Hangeul user interface to Clips which is known as a powerful shell for develop- ing expert system, was used. The multilayer perceptron consisting of 4 layers including back propagation learning algorithm was adpoted, which was rapidly converged within the allowable range at 50,000 learning sweeps. The expert system and neural network seemed to work well for this specific application, providing proper suggestions for some environmental problems: particularly, the neural net- work trained by an environmental problem and its corresponding answer with certainty factor, produced the same results as those by expert system.

• Journal of Korea Multimedia Society
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• v.22 no.5
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• pp.588-600
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• 2019

Each year Malaria affects over 200 million people worldwide. Particularly, African continent is highly hit by this disease. According to many researches, this continent is ideal for Anopheles mosquitoes which transmit Malaria parasites to thrive. Rainfall volume is one of the major factor favoring the development of these Anopheles in the tropical Sub-Sahara Africa (SSA). However, the surveillance, monitoring and reporting of this epidemic is still poor and bureaucratic only. In our paper, we proposed a method to fast monitor and report Malaria instances by using Social Network Systems (SNS) and precipitation volume in Nigeria. We used Twitter search Application Programming Interface (API) to live-stream Twitter messages mentioning Malaria, preprocessed those Tweets and classified them into Malaria cases in Nigeria by using Support Vector Machine (SVM) classification algorithm and compared those Malaria cases with average precipitation volume. The comparison yielded a correlation of 0.75 between Malaria cases recorded by using Twitter and average precipitations in Nigeria. To ensure the certainty of our classification algorithm, we used an oversampling technique and eliminated the imbalance in our training Tweets.

• Korean Journal of Artificial Intelligence
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• v.7 no.1
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• pp.23-59
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• 2019

The purpose of this study is to develop a measure of service quality in the traditional market by examining previous research on the service quality of the traditional market studied so far. After defining basic concepts through definition of traditional market and existing studies, 5 categories of configuration items for SERVQUAL measurement in traditional market were made up based on existing researches related to definition of service quality and service quality of traditional market. A survey was conducted on the items that fit the intention of this study and various statistical analyzes were conducted. Statistical analysis was performed using SPSS 22.0 and AMOS 22.0. The reliability of the items was measured by the reliability test, and the predictability and accuracy of the items were examined. The validity of the measured variables was verified through confirmatory factor analysis. Reliability, empathy, responsiveness, certainty, and tangibility were the most important factors in this study. Responsiveness factors include communication, time reduction, real time, promptness. Assurance factors include the assurance of delivery, prompt answers, product knowledge items. Tangibility factors include, convenient device systems, location information, presence as a fact, and as a result, the latest modern items are adopted. The quality of service in the traditional market developed in this study was found to be good in reliability and validity test. Confirmatory factor analysis result using structural equation model also met the conformity index standard. If service satisfaction is measured based on this research, basic data can be presented to policy makers who implement policies on traditional markets to make the right decisions. In addition, it will be able to provide traditional market operators with operational strategy and marketing data. In the future, based on the traditional market service quality scale developed in this study, it is necessary to grasp the factors to be continuously managed to improve the service quality of the traditional market, user satisfaction, and intention to use.

• Journal of the Korea Furniture Society
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• v.20 no.4
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• pp.358-373
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• 2009

Probability based design(PBD)method has some advantages against current design methods. First, it can provide the quantitative values for the structural safety or capacity through the reliability index, $^{\beta}$. That presented the certainty on the corresponding structure for the designer or user, also that permitted the broad consideration in the safety of structures. In addition, it can give the quantitative lifetime of the related structure in the calculation process of target reliability index. Also, incidental economical efficiency can be expected because decrease of required structural material can be obtained by using the practical material data. Unlikely current deterministic structural design methods, main advantage is the reflection of real condition in the structural design process by application of the data with not small clear specimen but structural size material. Advanced countries, namely America, Canada, Europe, Australia and New Zealand already converted from allowable stress design(ASD) method to PBD method and used as a standard wooden structures code in the late 1980s and 1990s. Other domestic constructions standards such as the steel or concrete constructions accepted and used the PBD methods already. Accordingly, wooden structural design method also should be converted from deterministic ASD to probabilistic LRFD(Load and resistance factor design) in order to keep pace with worldwide demands for PBD. Hence, to suggest the reason of introduction the PBD in domestic wooden structural design and analysis, a brief example was used to show the different reliability index by using the different design methods. Definition, merits and demerits of deterministic ASD and probabilistic LRFD were followed. Also the three examples were presented to show the similarity and differences between ASD and LRFD. Finally, connection problems that might cause a disputation in wooden structural design and analysis were broadly examined.

• Journal of Digital Convergence
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• v.12 no.12
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• pp.107-117
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• 2014

Organizational Service Orientation is an essential factor to survive competition. So, a number of studies have investigated the impact of service orientation on Job Performance, and many evidence testify with certainty variable. Accordingly, this study investigated the impacts of Service Orientation on Turnover Intention and Organizational Commitment. In addition, this study examined the mediating effects of Emotional Labor. The results of this study are as followings ; First, Service Orientation are negatively related to Turn over Intention. Second, Service Orientation are positively related to Organizational Commitment. Third, Emotional Labor have partially moderated effect on the relationship between Service Orientation and Turnover Intention, Organizational Commitment. These findings provide the theoretical and practical implications.

• Journal of Families and Better Life
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• v.31 no.5
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• pp.19-32
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• 2013

The purpose of this study was to identify the influences of psychological independence(functional independence and emotional independence) and career decision-making self-efficacy(self-estimation, career goal, occupational-knowledge, and problem solving) on career maturity(preparation, objective, decisiveness, and certainty) among adolescents. The subjects were 447 students in the second grade of middle school and high school in D. The questionnaire consist of measures of psychological independence, career decision-making self-efficacy, and career maturity. The data were analysed with factor analysis, Cronbach's ${\alpha}$, t-test, ANOVA, correlation and multiple regression by using the SPSS(SPSS/WIN 19.0) program. The major results were as follows. First, adolescents' the career maturity was significantly different depending on the socio-demographic variables. Second, it was shown that middle and high school students have a statically relation, in a relation among psychological independence, career decision-making self-efficacy, and career maturity. Third, it was found that psychological independence and career decision-making self-efficacy gave statistically meaningful influence on the career maturity of adolescents. This study is significant in that it suggests a plan for improving career maturity, and provides a basic material to improve one's active role in their parents. In addition, the results of this study can be used as a fundamental reference in career development programs and career-counseling centers at schools for enhancing adolescents' career development and success.

• Journal of Korean Biological Nursing Science
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• v.16 no.2
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• pp.113-122
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• 2014

Purpose: This study was to identify predictors of drug dosage calculation error risk in newly graduated nurses. Methods: A total of 115 newly graduated nurses who passed their employment examination, but didn't work for hospital yet, were recruited from a university hospital. The data were analyzed by descriptive statistics, $X^2$-test, t-test, ANOVA, Pearson correlation coefficients, and stepwise multiple regression using the SPSS 18.0 program. Results: The mean score of 'drug dosage calculation ability' was $0.81{\pm}0.16$ and the mean score of 'certainty of calculation' was $2.95{\pm}0.60$ out of a 5 point scale. The error risk of drug dosage calculation was positively related to anxiety for drug dosage calculations (r=.388, p<.001), but negatively related to interest and confidence in mathematics (r=-.468, p<.001), confidence related to dosage calculations (r=-.426, p<.001). The main predictors of error risk related drug calculations in newly graduated nurses were identified as interest and confidence in mathematics (${\beta}$=-.468, p<.001). This factor explained about 21.9% of the variance in error risk of drug dosage calculation. Conclusion: The strategies used to decrease the error risk related drug dosage calculation such as improving interest and confidence in mathematics should be developed and implemented.