• International Journal of Advanced Culture Technology
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• v.7 no.2
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• pp.158-167
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• 2019

The purpose of this study was to investigate the effect of Health Promotion Behavior on Spiritual well-being through decision making ability. The data for the study were collected from April 1 to 15, 2019 and the final data used in this study were 332. The research method was cross-sectional questionnaire survey. The collected data was analyzed by descriptive statistics, t-test, ANOVA, $X^2$ analysis, multiple regressions and median effect analysis using SPSS 18.0. Among the participants of this study, 18.1% of men and 81.9% of women were female. The results of this study appeared that the differences in sub-factors of health promotion behaviors by gender were higher in female in health responsibility, substance abuse, social relationship, and self-actualization (p<0.01), while men were higher in exercise than women (p<0.05). Differences in sub-factors of health promotion behaviors by gender were higher in female in health responsibility, substance abuse, social relationship, and self-actualization (p<0.01), while men were higher in exercise than women (p<0.05). Decision making (t=4.899, p<0.01), Health responsibility (t=-1.990, p<0.05), Substance abuse (t=7.344, p<0.01), Exercise (t=7.344, p<0.01), and Self-actualization (t=7.619, p<0.01) were appeared to affect Spiritual Well-Being under statistical significance. Also Decision Making Ability had a partial mediating role in health responsibility and social relationship, which were sub-factors of health promotion behavior, affecting spiritual Well-Being.

• International Journal of Advanced Culture Technology
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• v.11 no.1
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• pp.27-35
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• 2023

This study was a cross-sectional descriptive survey study that confirms the effect on subjects that prefer clinical practice in order to prepare basic data for efficient clinical practice guidance for nursing college students. The study participants were 201 students attending C University, and the data collection period was from October 1 to October 15, 2022. The collected data were analyzed using SPSS 18.0 as descriptive statistics, Pearson correlation, Chi square test, ANOVA test, and Multiple regression test. As a result of the analysis, it was found that clinical decision-making and critical thinking were correlated under the statistical significance level (r=.730, p<0.01). The most favorite clinical practice department was community nursing, and male students preferred community nursing the most (Male=45.6%, χ²=.000), female students were found to prefer similar levels of practical subjects with child nursing , adult nursing, and maternal nursing(χ²=000).Clinical decision-making was found to be higher in students who preferred community nursing at a statistical significance level than those who preferred child nursing (F=4.91, p<0.01). Critical thinking was higher among students who preferred adult nursing than those who preferred other subjects (F=4.65, p<0.01). Through the analysis results, it was found that general characteristics vary, but clinical decision-making ability and critical thinking affect the preference of clinical practice subjects. Therefore, based on the results of this study, the professor of clinical practice suggests the development of a program to foster clinical decision-making and critical thinking to make students interested in clinical practice subjects.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.20 no.44
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• pp.217-227
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• 1997

There are six perspectives of fit in strategy research, each implying distinct theoretical meaning and requiring the use of specific analytical schemes. But there is a few literature of the perspective in the discipline of Organizational Decision-Making and DSS. This study is a prior research which objective is to investigate the perspective of fit emprically in the discipline. The data were collected throughout the sampled business firms with premade questionaire and analysis were conducted with correlation analysis, regression, ANOVA and so forth. The research finding is that both predictors, one of which can be the moderator, influence the performance, and that the joint-effect of them influence the performance. Thus,'Fit as Moderation' would be suggested to be a proper model for the research in the discipline of Organizational Decision-Making and Decision Support Systems.

• Journal of Korean Library and Information Science Society
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• v.13
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• pp.131-166
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• 1986

This study is designed to review the methods of duplicate copies decision making in the academic library. In this thesis, I surveyed queueing & markov model, statistical model, and simulation model. The contents of the study can be summarized as follows: 1) Queueing and markov model is used for one of duplicate copies decision-making methods. This model was suggested by Leimkuler, Morse, and Chen, etc. Leimkuler proposed growth model, storage model, and availability model through using system analysis method. Queueing theory is a n.0, pplied to Leimkuler's availability model. Morse ad Chen a n.0, pplied queueing and markov model to their theory. They used queueing theory for measuring satisfaction level and Markov model for predicting user demand. 2) Another model of duplicate copies decision-making methods is statistical model. This model is suggested by Grant and Sohn, Jung Pyo. Grant suggested a model with a formula to satisfy the user demand more than 95%, Sohn, Jung Pyo suggested a model with two formulars: one for duplicate copies decision-making by using standard deviation and the other for duplicate copies predicting by using coefficient of variation. 3) Simulation model is used for one of duplicate copies decision-making methods. This model is suggested by Buckland and Arms. Buckland considered both loan period and duplicate copies simultaneously in his simulation model. Arms suggested computer-simulation model as one of duplicate copies decision-making methods. These methods can help improve the efficiency of collection development and solve some problems (space, staff, budget, etc, ) of Korean academic libraries today.

• Korean Journal of Adult Nursing
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• v.28 no.1
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• pp.83-94
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• 2016

Purpose: The purpose of this study was to explore how knowledge management of hospital and nurses' beliefs and competences on evidence-based practice can affect evidence-based decision making. Methods: In this descriptive study, a total of 184 nurses who were working in the five general hospitals participated. The data were collected through a self-administered questionnaire in September, 2014. Data were analyzed using descriptive statistics, independent t-test, one-way ANOVA, Pearson correlation coefficient, and step-wise multiple regression with SPSS/WIN Statistics 21.0 program. Results: Evidence-based decision making was correlated with EBP beliefs (r=.55, p<.001), EBP competence (r=.57, p<.001), and knowledge management (r=.50, p<.001). Hierarchical regression analysis showed that EBP beliefs (${\beta}=.18$, p=.005), EBP competence (${\beta}=.37$, p<.001), organizational knowledge management (${\beta}=.27$, p<.001) explained 48.6% of evidence based decision making (p<.001). Conclusion: The study results indicated that evidence-based practice competences, organizational knowledge management, and evidence-based practice beliefs were important factors on evidence-based decision making. In order to improve evidence-based practice among nurses through organizational knowledge management, EBP beliefs and competence at individual level need to be considered and incorporated into any systemic training of EBP.

• Journal of the military operations research society of Korea
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• v.16 no.1
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• pp.18-34
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• 1990

In light of the recent developments of transitory nature, it is likely that national defense decision-making will be more difficult to make for years to come. In other words, sudden changes in security environment would call into question the basic assumptions on which we have built our national defense planning and increase the number of the uncertain factors in the decision-making process; the subdivision and ramification of national defense management would increase the factors for decision-making and complicate even further the mutual interactions among these factors; the accelerated pace of sophistication and diversification of weapon systems and military technology would increase the risk of failure and system costs geometrically; and the reduced level of acceptance among the people on the sanctification of national defense in proportion to the rapid progress toward a more democratic and industrial society would engender an increased criticism or checking role by the National Assembly or by the mass media. As the changes in national defense environment and conditions create an innumerable number of new tasks, this paper intends to suggest a few core policy measures to improve the quality of national defense decision-making. More specifically, it proposes to 1) eradicate entirely the bureaucratic behavior and tendencies; 2) utilize actively the brain staff for quality assurance of decision-making; 3) and introduce and apply as a whole set, a total system, or an incorporated pack age the PPBEES(Planning-Programming-Budgeting-Executing-Evaluating-System)/LCMM (Life-Cycle Management Model for System Acquision), the OR/SA(Operations Research/Systems Analysis), and DMIS (Defense Management Information System).

• Journal of Information Technology Services
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• v.20 no.4
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• pp.35-52
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• 2021

Nowadays data-based decision making is emerging as the center of the business environment paradigm, but many companies do not have data-driven decision-making systems. It has also been studied that using an expert's intuition in decision making can be more efficient in terms of speed and cost, compared to analytical decision making. The goal of this study is to analyze customer churn factors using a group of experts within a financial company from the viewpoint of decision-making efficiency. We applied a debit card 'A', product of the National Credit Union Federation of Korea. The churn factors of all the financial expert groups were examined. Also. the difference in each group (management support, card recruitment, customer service group) was analyzed. We expect that this study will be helpful in the practical aspects of managers whose environments is lack data-oriented infrastructure and culture.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.2
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• pp.227-239
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• 2023

Online marketing is a rapidly growing industry that heavily depends on digital technologies and data analysis to effectively reach and engage consumers. For that, artificial intelligence (AI) has emerged as a crucial tool for online marketers, enabling marketers to analyze extensive consumer data and automate decision-making processes. The purpose of this study was to investigate the ethical implications of using AI in online marketing, focusing on its impact on consumer privacy and decision-making. AI has created new possibilities for personalized marketing but raises concerns about the collection and use of consumer data, transparency and accountability of decision-making, and the impact on consumer autonomy and privacy. In this study, we reviewed the relevant literature and case studies to assess the potential risks and make recommendations for improving consumer protection. The findings provide insights into ethical considerations and offer a roadmap for balancing the advantages of AI in online marketing with the protection of consumer rights. Companies should consider these ethical issues when implementing AI in their marketing strategies. In this study, we explored the concerns and provided insights into the challenges posed by AI in online marketing, such as the collection and use of consumer data, transparency, and accountability of decision-making, and the impact on consumer autonomy and privacy.

• 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.

• 제어로봇시스템학회:학술대회논문집
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• 1997.10a
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• pp.783-786
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• 1997

Automatic realization of on-off human decision making was derived based on a conditional probability. Following the proposed procedure, problems of insulator washing timing in power substations and spike detection on EEG(electroencephalogram) records were appropriately solved.