• Journal of Arbitration Studies
• /
• v.25 no.4
• /
• pp.97-117
• /
• 2015

As women's social advance had accomplished improvements to standard of living and equal employment, new forms of dispute such as gender inequality, sex crimes, and divorce rate increases have begun to generate. Disputes between men and women are desirable to settle by ADR rather than by traditional litigation owing to difficulties of legal resolution, cost and time, need for amicable dispute, etc. This study aims to reveal whether there is a relationship between ADR and gender. Through review of previous articles, this study finds that gender difference makes a visible difference depending on case type, context, and sex role of participants. For example, women were selected as mediators and arbitrators in non-monetary and small-claims disputes, family, labor, and consumer disputes and men were selected in large-scale disputes and construction, corporate and commercial, and intellectual property disputes owing to differences of experience and professionalism. Women were relatively frequently selected as mediators owing to active communication skills and men were selected as arbitrators because of decision-making skills.

• Journal of Internet Computing and Services
• /
• v.14 no.6
• /
• pp.25-32
• /
• 2013

Due to increasing competition of globalization and fast technological improvements the appropriate method for evaluating and selecting IS-personnel is one of the key factors for an organization's success. Personnel selection is a multi-criteria decision-making (MCDM) problem which consists of both qualitative and quantitative metrics. Although many articles have discussed various knowledge and skills IS personnel should possess, no specific model for IS personnel selection and evaluation, to our knowledge, has been published up to now. After reviewing the IS personnel's important characteristics, we propose an approach for categorizing the IS personnel based on their skills, ability, and knowledge during evaluation and selection process. Our proposed approach is derived from a model of neural network algorithm. We have adapted and implemented the fuzzy ART algorithm with Jaccard choice function. The result of an illustrative numerical example is proposed to demonstrate the easiness and effectiveness of our approach.

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2005.06a
• /
• pp.1050-1053
• /
• 2005

There is no agreed definition of intelligence. The ability to adapt to the environments is a kind of intelligence. Expert functionally recognize environment using their five senses, and acquire and memorize knowledge necessary for operating machines. Knowledge that they cannot acquire directly is acquired in indirect ways. The purpose of intelligence machines is applying to machines experts' knowledge acquisition process and their skills in operating machine. An agent is an autonomous process that recognizes external environment, exchanges knowledge with external machines and performs an autonomous decision-making function in order to achieve common goals. This paper describes agent application for intelligence machine.

• The Journal of Korean Academic Society of Nursing Education
• /
• v.20 no.2
• /
• pp.212-222
• /
• 2014

Purpose: The purpose of this study was to evaluate the nursing students' clinical judgment skills in simulation using Tanner's Clinical Judgment Model. Method: Forty-five teams of a total 93 nursing students participated in a post-operative patient care scenario using human patient simulator. Data were collected from students' responses in scenario and guided reflective journaling according to the framework of Tanner's model which comprised noticing, interpreting, responding, and reflecting on response. Data were analyzed using descriptive statistics. Results: The students' responses of the situation were in accordance with the goals of scenario, i.e. relieving patient' pain and preventing pulmonary complications. However, most of students needed clinical cues and focused on a given clue to solve the issues. They were lack of ability to collect additional information as well as connect the relevant clues in simulated clinical situation. Conclusion: The nursing students have difficulty in what they notice, how they interpret finding, and respond appropriately to the situation. The simulation training using Tanner's model could provide faculty and nursing students with an effective teaching and learning strategy to develop the clinical judgment skills.

• Journal of Veterinary Clinics
• /
• v.29 no.1
• /
• pp.43-48
• /
• 2012

This survey on professionalism and job satisfaction was aimed to analyze the veterinarians' attitude toward their profession and educational needs in Korea. Two hundred and ninety nine completed questionnaires were analyzed for this study. The participants considered nontechnical competences, such as communication skills and ethical decision making skills, important as medical knowledge and skills for veterinarians. There were significant differences in veterinarians' job satisfaction among the subgroups of gender, region, specialty, employment status, and work hours. The factor analysis of adjusted Hall's professionalism scale showed 4 dimensions of Veterinarians' professionalism; belief in self-regulation, belief in public service, using the professional organization as a major referent, and autonomy. Veterinarians' professionalism was significantly related to the job satisfaction. The survey results suggest that the educational program of professionalism should be needed for the professional development of veterinary students and veterinarians.

• International Journal of Computer Science & Network Security
• /
• v.23 no.7
• /
• pp.71-78
• /
• 2023

Employee turnover is one of the most important challenges facing modern organizations. It causes job experiences and skills such as distinguished faculty members in universities, rare-specialized doctors, innovative engineers, and senior administrators. HR analytics has enhanced the area of data analytics to an extent that institutions can figure out their employees' characteristics; where inaccuracy leads to incorrect decision making. This paper aims to develop a novel model that can help decision-makers to classify the problem of Employee Turnover. By using feature selection methods: Information Gain and Chi-Square, the most important four features have been extracted from the dataset. These features are over time, job level, salary, and years in the organization. As one of the important results of this research, these features should be planned carefully to keep organizations their employees as valuable assets. The proposed model based on machine learning algorithms. Classification algorithms were used to implement the model such as Decision Tree, SVM, Random Frost, Neuronal Network, and Naive Bayes. The model was trained and tested by using a dataset that consists of 1470 records and 25 features. To develop the research model, many experiments had been conducted to find the best one. Based on implementation results, the Neural Network algorithm is selected as the best one with an Accuracy of 84 percents and AUC (ROC) 74 percents. By validation mechanism, the model is acceptable and reliable to help origination decision-makers to manage their employees in a good manner.

• Journal of The Korean Association For Science Education
• /
• v.17 no.1
• /
• pp.1-10
• /
• 1997

The purpose of this study was to analyze the structural model of causal effects of students' variables on science process skills. Student characteristics investigated in the study included attitude related to the science, logical thinking ability, scientific experiences, cognitive style. Covariance structural modeling procedures were used to test causal inferences about hypothesized relationships. The sample consisted of 319 6th grade students and 321 8th grade students in Seoul City, Korea. Five instruments were used in the study, TSPS(test of science process skills), GALT(group assessment of logical thinking), CEFT(children embedded figures test), questionnaire of attitude related to the science, questionnaire of scientific experience. For statistical analysis, the study adopted the structural equation modeling with LlSREL, a computer statistical program developed by J reskog and S rbom. Major findings of the study are as follows:1) Logical thinking ability has a most strong direct effect on science process skills. 2) The structural coefficient of scientific experience influence on attitude related to the science has the greatest direct one than the others in the covariance structural model. According to the results of this study, it is very importance that various scientific experiences, particularly hands-on activity, should be offer to students to improve science process skills. Also, understanding the relationships of student variable to science process skills will be helpful to decision making on the part of curriculum developers, science teachers and researchers.

• Safety and Health at Work
• /
• v.3 no.3
• /
• pp.199-208
• /
• 2012

Objectives: Although evidence-based medicine (EBM) is a useful method for integrating evidence into the decision-making process of occupational physicians, occupational physicians lack EBM knowledge and skills, and do not have the time to learn the EBM method. In order to enable them to educate themselves at the time and place they prefer, we designed an electronic EBM course. We studied the feasibility and utility of the course as well as its effectiveness in increasing EBM knowledge, skills, and behaviour. Methods: Occupational physicians from various countries were included in a within-subjects study. Measurements were conducted on participants' EBM knowledge, skills, behaviour, and determinants of behaviour at baseline, directly after finishing the course and 2 months later (n = 36). The feasibility and utility of the course were evaluated directly after the course (n = 42). Results: The course is applicable as an introductory course on EBM for occupational physicians in various countries. The course is effective in enhancing EBM knowledge and self-efficacy in practising EBM. No significant effect was found on EBM skills, behaviour, and determinants of behaviour. After the course, more occupational physicians use the international journals to solve a case. Conclusion: An electronic introductory EBM course is suitable for occupational physicians. Although it is an effective method for increasing EBM knowledge, it does not seem effective in improving skills and behaviour. We recommend integrating e-learning courses with blended learning, where it can be used side by side with other educational methods that are effective in changing behaviour.

• Fashion, Industry and Education
• /
• v.14 no.1
• /
• pp.59-68
• /
• 2016

This paper identified the source of inspiration to cooperatively design a fashion collection from US undergraduate clothing design students and addressed how to implement team-based learning strategy to conceptual clothing design in class. Data was collected from the total of 51 students in a senior clothing design course at a large 4-year university in the US. The assigned project for this class was to develop a group collection under a same theme. Each student worked with his/her team member(s) to create an outfit and the entire class worked as a group to create a cohesive collection. The study showed that the sources of inspiration for the themes/concepts came from 11categories: historic era/old Hollywood glamour, shape/line/structure/architectural, fairy tales movies, nature/abstract, circus/mysterious, occasion/place, object, designer/artist, futuristic, culture, and various movies. To implement cooperative learning strategies in the clothing design class, a total of five class presentation/discussion sessions were held for theme/concept decision, fabric decision, design decision, test garment evaluation and design modification, and final products. Throughout the design process, team-based learning strategy promoted students' engagement and participation and inspired their critical thinking skills for making decisions within a team.

• Asia-Pacific Journal of Business
• /
• v.9 no.4
• /
• pp.99-117
• /
• 2018

This study has investigated Linear Programming (LP) applications to special decision making problems in managerial accounting with the help of spreadsheet Solver tools. It uses scenario approaches to case examples having three products and three resources in make-and-supply business operations, which is applicable to cases having more variables and constraints. Integer Programmings (IP) are applied in order to model situations when products are better valued in integer values or logical constraints are required. Three cases in one-time-only special order decisions include Goal Programming approach, Knapsack problems with 0/1 selections, and fixed-charge 0/1 integer modelling techniques for set-up operation costs. For the decisions in outsourcing problems, opportunity-costs of resources expressed by shadow-prices are considered to determine their precise contributions. It has also shown that the improvement in work-shop operation for an unprofitable product must overcome its 'reduced cost' by the sum of direct manufacturing cost savings and its shadow-price contributions. This paper has demonstrated how various real situations of special decision problem in managerial accounting can be approached without mistakes by using LP's and IP's, and how students both in accounting and management science can acquire LP skills in their education.