• The Journal of Information Systems
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• v.32 no.4
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• pp.189-210
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• 2023

Purpose This study aims to investigate factors that positively influence the continuous Artificial Intelligence(AI) Learning Continuity of business major students. Design/methodology/approach To evaluate the impact of AI education, a survey was conducted among 119 business-related majors who completed a software/AI course. Frequency analysis was employed to examine the general characteristics of the sample. Furthermore, factor analysis using Varimax rotation was conducted to validate the derived variables from the survey items, and Cronbach's α coefficient was used to measure the reliability of the variables. Findings Positive correlations were observed between business major students' AI Learning Continuity and their AI Interest, AI Awareness, and Data Analysis Capability related to their majors. Additionally, the study identified that AI Project Awareness and AI Literacy Capability play pivotal roles as mediators in fostering AI Learning Continuity. Students who acquired problem-solving skills and related technologies through AI Projects Awareness showed increased motivation for AI Learning Continuity. Lastly, AI Self-Efficacy significantly influences students' AI Learning Continuity.

• Journal of the Ergonomics Society of Korea
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• v.30 no.1
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• pp.87-98
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• 2011

In this study, we investigated and identified criterial human factors(errors), most of which lead to terrible ship accidents such as collisions, sinking, fire and explosions resulting both in human lives and physical damages to ships as well as surrounding environments. To this end, we went through the accident reports of 413 cases over 2005~2009 period and classified the human factors into 6 major factors with 19 sub ones which were constructed in hierarchical order. The relative importance of major factors was calculated and among others the lack of awareness turned out to be the most important factor with the weight of 0.391. The contributions of the results in the research are two fold: it will help (i) identify the root causes of ship accidents and prevent further potential ship related incidents, (ii) analyze the degree of the risk associated with the ship accidents, when risk analysis is performed.

• Knowledge Management Research
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• v.4 no.1
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• pp.1-19
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• 2003

The purpose of this study is to explore the effect of creativity management factors on perceived R&D performance. To do this, the data (885cases) were collected from 19 Korean Government-supported Research Institutes, and 3 hypotheses derived from the model of creativity management(after here CM) were tested. Major findings are as follows: 1) CM constructs are grouped into diversity, autonomy, connectivity, redundancy and flexibility factors; 2) The major factors that can explain R&D performance perceived by scientists and engineers are connectivity, autonomy, diversity and flexibility; 3) All CM factors have significant relationship with satisfaction of the employees; 4) Flexibility and connectivity factors give effects on turnover intention of the members. This study has some limitations in model building and empirical testing. This study, however, provides theoretical and managerial implications about CM and R&D management, particularly Government-supported Research Institutes in Korea.

• Fashion & Textile Research Journal
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• v.25 no.1
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• pp.113-118
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• 2023

In this study, we tried to investigate the influence of the career maturity of college students majoring in cosmetology on their devotion to the major. Research results As a result of analyzing the correlation between the career maturity level of cosmetology majors and the sub-factors of devotion to majors, all questions showed positive correlations between the career maturity of cosmetology majors and devotion to majors. as a result of analyzing the influence of career maturity on major activity sub-factors of major involvement, the crystallinity of career maturity , readiness statistically. As a result of analyzing the effect of career maturity on the major satisfaction subfactor of major immersion, the crystallinity of career maturity , readiness, and certainty were shown to have statistically significant positive effects. Through research results, we aim to develop a positive career maturity for cosmetology majors, improve their immersion in their majors, and establish a sense of values through correct theory and practical education. Immersion education and ongoing guidance seem necessary. Through this research, we hope that active discussions will be held on the career maturity of college students majoring in cosmetology and their devotion to the major.

• Journal of Environmental Impact Assessment
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• v.3 no.1
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• pp.9-30
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• 1994

Environmental Impact Assessment System, ever since its enactment in Korea fourteen years ago, has been steadily improved by introduction and implementation of new concepts and methodologies which include Environmental Impact Statement(EIS) preparation technique, selection of environmental factors, and the like. However, current guideline requires that every EIS, regardless of the specifics of the project type or characteristics of the site, must evaluate and study for all twenty-two environmental factors as set forth in the regulation. The situation causes many undesirable problems like; lack of site specific evaluation in most EISs, over-sized EIS drafts, consuming too much time and costs for EIS preparation, and so on. The objectives of this study are: - To establish a set of criteria to classify the types of the projects in terms of features of the project content and the characteristics of the site area. - To establish a guideline for selecting major environmental factors of the project type criteria, and - To provide basic materials for the preparation of complets draft EIS of the Amendment of Environmental Impact Assessment Act.

• Proceedings of the Safety Management and Science Conference
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• 2008.11a
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• pp.329-341
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• 2008

The psychosocial stress and musculoskeletal disorders(MSDs) have been one of major health problems for hospital workers. This study tried to understand the relationship between symptoms associated with MSDs and risk factors such as working posture, job stress, psychosocial stress and fatigue. A total number of 655 hospital workers participated in this study. Specifically, REBA was applied for evaluating working posture and a checklist prepared by KOSHA(Korean Occupational Safety and Health Agency) was used for symptom survey. A questionnaire from KOSHA was also used for collecting data associated with job stress, psychosocial stress and fatigue. All these data were formulated and modeled by path analysis which was one of major statistical tools in this study. Specifically, path analysis for the data we collected came up with several major findings. The risk scores from working posture based on REBA had indirect effects via fatigue factor(MFS) as well as direct effects on symptoms. The factors associated with job stress(KOSS) and psychosocial stress(PWI-SF) had significant effects on symptoms. Specifically, indirect effect of job stress factors via fatigue factors(MFS) had bigger than that of direct effect of job stress on symptom.

• Journal of the Korean Chemical Society
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• v.55 no.5
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• pp.875-881
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• 2011

This study examined factors influencing college science learning from the perspectives of college students and high school science teachers. Using a survey created based on focus group interviews, college science majors and high school science teachers rated various factors of high school learning that positively influenced college science learning. Findings suggested that the perceptions differed by college major: the physics major students considered math proficiency and logical thinking skills as the important factors; chemistry major students and biology major students considered English proficiency and basic scientific knowledge as the most important factors. Both college students and science teachers emphasized basic science knowledge and math proficiency. However, differences between the two groups were also found in that the students perceived more need to learn about experimentation than the teachers whereas the teachers had a priority in increasing advanced science content.

• Journal of Korean Association for Spatial Structures
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• v.18 no.1
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• pp.67-75
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• 2018

Steel roof construction is on the most important and critical factors in the large spatial construction and necessary to be prepared under a radical planning. Therefore, the major management factors of steel roofing structure assembly must be critically reviewed during planning. Through the review process, it is necessary to reduce the construction cost, to prevent delays in the construction schedule, and to minimize construction errors. However, domestically due to the lack experience in large spatial constructions, a planning of roof construction is limited to have a radical planning. Especially due to unclear organization of the management factors in hierarchy, using them in reality for construction planning is difficult and reliability is low. Therefore, in this study, the goal is to conduct the major management factors in the large spatial construction. To achieve this, we have reviewed and analyzed the numbers of construction plans and construction reports and conducted a total 68 of the management factors. Based on the conducted factors, we have interviewed 16 experts with experience in large spatial construction. From the interview result, we have deduced the factors scored above 4.20 of 10 for critical factors. The results of this study will be used as a guidance for planning steel roofing structure assembly in large spatial construction. The critical factors will be provided to the site mangers for the quality management of large spatial constructions in practice.

• Journal of the Korean Operations Research and Management Science Society
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• v.20 no.1
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• pp.159-177
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• 1995

The objective of this paper is to propose a knowledge-based fuzzy post adjustment so that unstructured problems can be solved more realistically by expert systems. Major part of this mechanism forcuses on fuzzily assessing the influence of various external factors and accordingly improving the solutions of unstructured problem being concerned. For this purpose, three kinds of knowledge are used : user knowledge, expert knowledge, and machine knowledge. User knowledge is required for evaluating the external factors as well as operating the expert systems. Machine knowledge is automatically derived from historical instances of a target problem domain by using machine learning techniques, and used as a major knowledge source for inference. Expert knowledge is incorporate dinto fuzzy membership functions for external factors which seem to significantly affect the target problems. We applied this mechanism to a prototyoe expert system whose major objective is to provide expert guidance for stock market timing such as sell, buty, or wait. Experiments showed that our proposed mechanism can improve the solution quality of expert systems operating in turbulent decision-making environments.

• Proceedings of the Safety Management and Science Conference
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• 2013.04a
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• pp.243-254
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• 2013

Recently in the construction business construction companies has been ordered to survive in the terriblly competitive environment. Aa a result, most of the project with low-priced contract needs a speedy progress during all construction period. For the last five years major incident frequently occurs and results in the death of 189 workers at major top 6 construction builders. In most recent 10 years, the cause of major incidents happened in construction company is the speedy construction work that is affecting on the safety management. To prevent these accidents in the speedy construction work, four factors were chosed and analysed such as the personnel/organization, the working budget, the subcontractor selection and the employee motivation. The head office taked the support plan and tested it at the pilot work site. It showed a reduced accident and the harmful factors can be eliminated. It should be able to apply to the field to secure safety and prevent accidents.