• Journal of Fisheries and Marine Sciences Education
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• v.20 no.2
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• pp.286-296
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• 2008

This study aims to examine the relationship between teachers' parcitipation levels in the decision making process and the organizational effectiveness in the middle schools. To achieve this objectives, 559 teachers of 18 middle schools in Busan were involved through a questionaire. The results are as follows: First, teachers consider their participation in decision-making to be low. Second, teachers view the effectiveness of school systems higher than average. Third, the correlation between teachers' participation and the system effectiveness (including job satisfaction, organization adaptability and job achievement) was positively high. When teachers' participation levels were divided into 3 groups - low, middle, and high-, the system effectiveness appeared highest with the high- level participation group. These results suggest the need for teacher participation in decision making to enhance the effectiveness of school systems.

• Journal of the military operations research society of Korea
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• v.3 no.1
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• pp.51-82
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• 1977

Decision making is a function of many variables, but among these, human burden (soft-ware) and machine burden (hard-ware) are critical. Decision Maker is rather concerned with the soft-ware and just wants to have machine calculate the quantitative arithmetic involved in the decision-making study, because he is responsible for that decision whether or not he knows details about the techniques used by his staffs. From the point of these considerations, computer-assisted war game model has its significance in military decision making. The major outcome of this model is time-phased FEBA movement. FEBA is moved mainly by the ratio of the Index of Combat Effectiveness (ICE). To calculate ICE, Ground Forces are concerning the Index of Firepower (IFP) of individual weapons and in the case of Air Force, sorties are allocated into each sector, and added to the Ground Force IFP. With the ratio of total ICE, FEBA is moved according to the War Game Tables and process is repeated after consideration of casualties. This model is used by IBM-370/135 in MND computer room and also tested by IBM-3741/3717 established at ROKA HQ.

• Journal of Biosystems Engineering
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• v.42 no.2
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• pp.98-103
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• 2017

Purpose: Precision agriculture includes determining the right amount of nitrogen for a specific location in the field. This work focused on developing and validating a model using variable rate nitrogen application based on the estimated SPAD value from the ground-based image sensor. Methods: A variable rate N application based on the decision making system was performed using a sensor-based variable rate nitrogen application system. To validate the nitrogen application decision making system based on the SPAD values, the developed N recommendation was compared with another conventional N recommendation. Results: Sensor-based variable rate nitrogen application was performed. The nitrogen deficiency level was measured using the image sensor system. Then, a variable rate application was run using the decision model and real-ti me control. Conclusions: These results would be useful for nitrogen management of corn in the field. The developed nitrogen application decision making system worked well, when considering the SPAD value estimation.

• Korean Journal of Agricultural Science
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• v.37 no.2
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• pp.315-321
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• 2010

Decision-makings or the related policies regarding domestic grape production heavily depends upon the known market price data and official statistics periodically announced by government, at national level. However, usual adaption of the 'simple means' from these data may bring seriously biased decision-makings when the original data are biased, especially when the data are not convinced to be normal distributions to decision makers. In this regards, this study employs Monte Carlo simulation technique to overcome the limitations, based on the decision makers' subjective assumptions on the known data, and, tries to come up with flexible range of business information regarding grape-producing farm income. The approach used in this study also provides possibility that it may be useful when adapting subjective assumptions from various statistical distributions.

• Journal of Fisheries and Marine Sciences Education
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• v.17 no.3
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• pp.293-304
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• 2005

The purpose of this study is to analyze middle school teachers' perception of their participation in decision-making processes at their schools. 507 middle school teachers in the Pusan metropolitan area were involved in this study through a questionnaire to examine the actual state of participation of teachers in decision-making processes. The results of the above mentioned analyses are as follows: First, the degree of actual participation in the decision-making process for each field in terms of school management is lower than that of expected participation in general. Second, the variable which influences the actual participation the most is seen in the jurisdiction of the related fields. However, as an exception, expertise is the most influential variable on actual participation in terms of teaching activities.

• International Journal of Contents
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• v.17 no.4
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• pp.79-90
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• 2021

With the deepening of population aging, pension has become an urgent problem in most countries. Community smart pension can effectively resolve the problem of traditional pension, as well as meet the personalized and multi-level needs of the elderly. To predict the pension intention of the elderly in the community more accurately, this paper uses the decision tree classification method to classify the pension data. After missing value processing, normalization, discretization and data specification, the discretized sample data set is obtained. Then, by comparing the information gain and information gain rate of sample data features, the feature ranking is determined, and the C4.5 decision tree model is established. The model performs well in accuracy, precision, recall, AUC and other indicators under the condition of 10-fold cross-validation, and the precision was 89.5%, which can provide the certain basis for government decision-making.

• Restorative Dentistry and Endodontics
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• v.49 no.1
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• pp.8.1-8.12
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• 2024

Objectives: The purpose of this study was to evaluate the effect of Dental Practicality Index (DPI) training using an online video on the treatment planning decisions and confidence level of dental undergraduates (DUs). Materials and Methods: Ninety-four DUs were shown 15 clinical case scenarios and asked to decide on treatment plans based on 4 treatment options. The most appropriate treatment plan had been decided by a consensus panel of experienced dentists. DUs then underwent DPI training using an online video. In a post-DPI-training test, DUs were shown the same clinical case scenarios and asked to assign the best treatment option. After 6 weeks, DUs were retested to assess their knowledge retention. In all 3 tests, DUs completed the confidence level scale questionnaire. Data were analyzed using the related-samples Wilcoxon signed rank test and the independent-samples Mann-Whitney U test with the level of significance set at p < 0.05. Results: DPI training significantly improved the mean scores of the DUs from 7.53 in the pre-DPI-training test to 9.01 in the post-DPI-training test (p < 0.001). After 6 weeks, the mean scores decreased marginally to 8.87 in the retention test (p = 0.563). DPI training increased their confidence level from 5.68 pre-DPI training to 7.09 post-DPI training. Conclusions: Training DUs using DPI with an online video improved their decision-making and confidence level in treatment planning.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.7
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• pp.463-473
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• 2018

This investigation was a descriptive study that examined the relationship among factors including professional autonomy, role conflict, and clinical decision-making ability of nurses on comprehensive nursing service wards. To accomplish this, a survey of 234 nurses working at D city and G city who were selected based on convenience sampling was conducted. Data were collected using a self-reported questionnaire completed by 234 nurses at four clinical hospitals from October 12, 2017 to November 30, 2017. The collected data were evaluated by t-tests, ANOVA, Pearson's correlation and stepwise multiple regression analysis. The mean clinical decision-making ability score was $3.38{\pm}0.78$, which corresponded to an intermediate level of clinical decision-making ability. Clinical decision making ability was positively correlated with professional autonomy, but role conflict showed a negative correlation. The factors having the greatest impact on clinical decision-making ability were found to be, in order, length of work, education level, professional autonomy and role conflict, which together accounted for 38.7% of the total impact. To improve clinical decision making ability, it is important to improve autonomy and role conflict. Additionally, to improve clinical decision-making ability, it is necessary to improve clinical decision-making ability to determine nurses tasks through professional autonomy and role conflict. Overall, the results of this study can be utilized as baseline data when developing a program to enhance nurses' clinical decision making ability. Moreover, it is suggested that an interventional study analyzing validity and effectiveness of developed education programs be conducted.

• Journal of Korean society of Dental Hygiene
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• v.21 no.4
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• pp.357-366
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• 2021

Objectives: The objectives of this study were to verify the level of ethical consciousness and decision-making of dental hygiene students in pandemic as coronavirus disease 2019 (COVID-19). Methods: This study included 249 college students who were interested in new infectious diseases. They completed a questionnaire on a 5-point scale, and data were analyzed by independent t-test, ANOVA, and correlation. Results: The perception of COVID-19 was moderate at 3.42 points. This was higher among males, first graders, emergency management students, those who received education and experienced self-quarantine. The level of ethical consciousness was moderate (3.89 points), which was higher in sophomores, emergency management students. Ethical decision-making was moderate, with a score of 3.44, and was higher in those with first grade, field practice training, and self-quarantine experience. The level of perception positively correlated with ethical consciousness (α=0.310, p<0.01). In addition, as the degree of ethical consciousness increased, the degree of decision-making also increased (α=0.539, p<0.01). Conclusions: In a crisis, involving the spread of COVID-19, providing prospective dental hygienists accurate information and an experience similar to that faced by patient is necessary for raising the level of ethical consciousness and decision-making.

• Knowledge Management Research
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• v.10 no.3
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• pp.17-33
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• 2009

The emergence of the Internet shopping agent enabled consumers to enjoy Internet shopping more easily and quickly. Especially, the role of Internet shopping agent is becoming more important following the information overload trend on the Internet in that the consumers can promptly obtain information about a certain product and its price among countless items on the Internet. As a result, consumers can now enjoy shopping more easily, compared to the offline shopping which requires a lot of efforts in comparing the products and purchasing them. Since the Internet shopping agents collect extensive information about the products' price, delivery period, detailed characteristics, etc., and present a comparison table containing the information to the consumers, the consumers can shop more quickly at lower price using such shopping agents. However, it has not been sufficiently studied about how the various functions of shopping agents actually support consumers' purchase decision making procedure in everyday life, and if they do, in which stages they play a supporting role in consumers' purchase decision making system. Therefore, this study conducts an empirical analysis on the role of the Internet shopping agents in the purchase decision making process of the consumers, considering the Internet shopping agent as a decision making supporting system. Moreover, it analyzes how the effects of the Internet shopping agent differs according to the consumers' knowledge level about the products.