• Journal of Digital Convergence
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• v.19 no.9
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• pp.75-81
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• 2021

The purpose of this research is to derive and evaluate priorities for critical factors that must be determined before an enterprise adopts a cloud computing service. AHP analysis techniques were used to reflect decisions made by experts as research methods. AHP is a decision-making technique that expresses complex decision-making problems hierarchically and derives the best alternatives through pairwise comparison between the items of the hierarchy. Compared to the existing statistical decision making techniques, the decision making process is systematic and simple, making it easy to understand. In addition, the procedure is also reasonable by providing an indicator to determine the consistency of the decision maker in the analysis process. The analysis results of this research showed that security was the first priority, reliability was the second priority, and economic efficiency was the third priority. Among the factors in the first-priority security items, the access control rights and the safety factors of external threats are the most important factors. Research results can be used as a guideline in future practice, and it is necessary to evaluate, compare and analyze the satisfaction of companies that have adopted cloud computing services in the future.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.103-109
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• 2007

A controller who is responsible for visitor's safety makes a decision about measures for visitor safety in human-based decision making process. Many potential accidents that are caused by human error lurk in results of the process. The accidents can be decreased by changing the decision making process from human-based into technology-based. Technology-based decision making process can catch a controller's attention through data filtering, alarm filtering, and so on. So, the controller can get information on occurrence of an unforeseen accident pro-actively. Development of 3D SICS is caused of this needs. This paper shows a methodology of this research, results of up to now, study plan of next year, and contribution of 3D SICS development.

• Journal of Distribution Science
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• v.13 no.8
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• pp.15-25
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• 2015

Purpose - There is a lack of research on how much corporate control is sufficient for effective subsidiary business-related decision making. To address this research gap, this study analyzes the impact of the level of control of a Korean corporation's headquarters on its overseas subsidiary performance. Research design, data, methodology - The study's sample comes from the Overseas Korean Business Directory of KOTRA. A multiple regression analysis empirically confirmed the relationship between the headquarters level of control over the subsidiaries and their performance. Results - The results show that the greater an organization's headquarters control over strategic issues, the greater the subsidiary's non-financial performance. However, quick decision-making through decentralization promotes the rapid selection of successful new products that can provide a competitive advantage. Conclusion - This study shows that the impact of control levels on subsidiary performance depends on the type of control involved. Specifically, while low levels of control over operational issues had a positive (+) influence on subsidiary non-financial performance, high control levels led to improved non-financial performance with regard to strategic issues among the subsidiaries.

• 제어로봇시스템학회:학술대회논문집
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• 1996.10a
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• pp.319-323
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• 1996

A new steel-making process, strip-casting, is introduced. The strip-casting is a new technique making the thin steel strip from the molten steel directly without resorting to repetitive reheating and hot-rolling required in a conventional steel-making method. This paper derives the mathematical model of strip caster, proposes a control strategy for stable startup operation and a fuzzy decision making rule for automatic control mode change in strip-casting process.

• Journal of Korean Society of Rural Planning
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• v.27 no.2
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• pp.77-89
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• 2021

To predict the level of residents' participation in rural tourism project, we used agent-based model. The decision-making mechanism which calculates the utility related to attitude, subjective norm, perceived behavioral control of planned behavior theory was applied to the residents' decision to participate. As a result of the simulation over a period of 20 years, in the baseline scenario set similar to the general process of promoting rural projects, the proportion of indigenous people decreased and the participation rate decreased. In the scenarios with different learning frequencies in perceived behavioral control, overall participation rate decreased. Learning every five years had the effect of increasing the participation rate slightly. Participation rates increased significantly in the scenario that consider economic aspects and reputation in attitude and did not decline in the scenario where population composition was maintained. The virtuous cycle effect of subjective norm according to changes in participation rate due to influence of attitude and perceived behavioral control shows the dynamic relationship.

• The Journal of Industrial Distribution & Business
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• v.11 no.10
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• pp.7-16
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• 2020

Purpose: It suggests that making a policy and strategies in a way of AI and its impact of commercialization on economic efficiency, social custom ethics. Research design, data, and methodology: The paper has analyzed the data based on the proposed model when derived as AI vs. FI job, etc. It is very different for each professional evaluation, which is artificial intelligence or robot job. One concept case was selected as a substitute job, with a relatively low level of occupation ability, such as direct labors, easily replaced. By the induction data has resulted in modeling. Results: The paper suggests that AI at high level become something how to make real decisions on ethical value modeling. Through physical simulation with the deduction data, it can be tuned to design and control what has not been solved, from human senses to climate. Conclusion: For the exploiting of new AI decision-making jobs in markets, the deduction data is possible to prove to AI's Decision-making that the percentage who can easily have different leadership as is different for each person. what is generated by some information silos may be applied to occupation societies. The empirical results indicate the deduction data that if AI determines ethical decisions (VC) for that modifications, it may replace future jobs.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.53-59
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• 2021

This research aims to examine the model of investor herding behavior in making investment decisions in the Indonesian capital market, which is influenced by social and information impacting on the value of the Book Value Per Share (BVPS). The latest stock market conditions show that most investors make the same error pattern in making investment decisions that result in losses. The experiment involves two independent variables, namely, information about BVPS and social influence. This study used a 2×2 factorial design laboratory experimental method. Data collection was carried out through treatment of a sample of 100 individual investors listed on the Indonesia Stock Exchange. Univariate Two-Way Analysis of Variance (ANOVA) statistical tool was used to test the independent variable on the dependent variable. Research results showed that the social influence originating from expert investors is more influential than the Book Value Per Share (BVPS) information on the behavior of herding investors in making investment decisions. These findings suggest that investors know their psychological factors, thereby increasing self-control and investment analysis skills. Further research can use psychological bias and other indicators of accounting relevant information such as Earning Per Share (EPS) to test herding behavior in investment decision making in the capital market.

• Journal of vocational education research
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• v.37 no.5
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• pp.101-121
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• 2018

The purpose of this study is to clarify the relationship between coaching and self-esteem, career decision-making self-efficacy, and career preparation behavior through field experiments. To accomplish the purpose of the study, as the purposeful sampling was selected 50 male university students in Chungnam, South Korea. This experimental design, 25 university students were assigned to an experimental group, and another 25 university students were assigned to a control group. The experimental group had four sessions of coaching program. The control group did not have any coaching sessions. After four coaching sessions, questionnaires were administrated again. To conduct ANCOVA, pre-measurement scores for each dependent variable were included as covariates and post-measurement scores were included as dependent variables. The result proved the effect of coaching on self-esteem, career decision-making self-efficacy, and career preparation behavior. As the results of analysis, for control group, there was no difference between before and after measurement for each dependent variable. However, there was statistically significant difference between before and after measurement for each dependent variable in experimental group. This result confirmed that coaching caused increase in the level of self-esteem, career decision-making self-efficacy, and career preparation behavior. The result like this has a significance to be able to be used as a basic data that used efficiently in the field of career guidance and HRD for university student.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.12
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• pp.636-644
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• 2018

This study was conducted to examine the effects of an emergency treatment education program on nursing students' self-leadership, career decision-making self-efficacy, and nursing performance ability. The study was designed using a nonequivalent control group pretest-posttest design, and data were collected from June 1 to August 31, 2017. The participants consisted of 52 nursing students in D College of D City who were assigned to an experimental group (n=27) or control group (n=25). The pretest poll was performed on June 1, 2017 and posttest poll was performed 2 weeks later without any treatment in the control group. In the experimental group, the pretest poll was performed on July 25 before the emergency treatment education program and the posttest poll was performed on August 31 after the education program. The emergency treatment education program for the experimental group consisted of 2 hours of emergency treatment instruction, autonomously watching videos, and 4 hours of teaching elementary students about CPR for adults and first aid for airway obstruction, burns, bleeding, and fractures as a lecturer. The data were analyzed using descriptive analysis, independent t-test, $x^2$ test, and paired t-test with SPSS/WIN 20.0. After receiving the emergency treatment education program, a difference was observed in self-leadership (t=2.08, p<.05), career decision-making self-efficacy (t=4.22, p<.05) and nursing performance ability (t=5.02, p<.05) in the experimental group. The results of this study indicate that the emergency treatment education program was effective at increasing self-leadership, career decision-making self-efficacy, and nursing performance ability in nursing students.

• Korean Journal of Construction Engineering and Management
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• v.15 no.3
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• pp.47-57
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• 2014

LNG plant projects tend to be implemented in overseas owing to its characteristics, so their project management scheme is somewhat different from those of general projects. Value chain in a LNG plant project includes exploration/production of gases, physical liquefaction/chemical conversion processes, transportation and storage. Key factors in the chain include liquefaction process (including ultra-low temperature liquefaction) to convert natural gas into liquid materials or fuel, and Front End Engineering Design (FEED) package, as well as Engineering, Procurement and Construction (EPC) technology comprising control, operation and construction. Success of a complex LNG plant project implemented in overseas depends on decision-making process in project management. Accordingly, to develop a decision-making model in of plant construction, the study extracted none factors in project management by EPC stage and assessed importance of each factor. The result showed that items in both project management and project risk management are important. Especially, the study developed a decision-making model in the construction stage of a LNG plant project based on the project management factors and importance assessment. The developed decision-making model would lay groundwork in building a decision-making system in construction stage of project management.