• Journal of Industrial Convergence
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• v.17 no.4
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• pp.53-58
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• 2019

It is important to collect and analyze the data from the traffic accident analysis system and the National Statistical Office to reduce the traffic accident rate of the elderly, who are the weakest. In particular, it is more important to analyze the data in areas where the elderly population is large and where accidents occur frequently. This paper visualizes and analyzes the data of elderly traffic accidents that occurred in recent 5 years in the area where many elderly people live in Buyeo-gun. The elderly traffic accident type, accident area, and location data of the elderly can be useful for the improvement measures and related decision making to reduce the elderly traffic accidents.

• Journal of Korean society of Dental Hygiene
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• v.16 no.2
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• pp.321-327
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• 2016

Objectives: The purpose of the study was to evaluate the level of ethical dilemma and related factors in some clinical dental hygienists. Methods: A self-reported questionnaire was filled out by 290 clinical dental hygienists in G metropolitan city from January 5 to February 27, 2015. The instruments used for this study were the modified ethical dilemma scale developed Lee, Kim and Park. The questionnaire consisted of dental hygienists & subjects(4 items), dental hygienists & professionals(12 items), dental hygienists & partners(7 items), and medical information(31 items). The questions were measured by Likert 5 points scale. The statistical analyses include descriptive statistics, t-test and stepwise multiple regression analysis using SPSS 12.0 program. Results: Dental hygienists perceived ethical dilemma scored 3.35 and 3.24 except medical information. Professionals and partners in sub-domain of ethical dilemma by experience of ethics education and ethical conflict were high and showed statistically significant difference. The strongest predictor of dental hygienists and subjects was job satisfaction. The strongest predictor of dental hygienists and partners was adequacy of ethics education in college/university. Conclusions: The results of this study suggest that it is necessary to develop the professional dental hygiene program for the prevention of ethical dilemma in dental hygienists and to make ethics education for ethical decision making.

• Journal of Environmental Science International
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• v.20 no.3
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• pp.329-340
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• 2011

The probability concepts mainly used for rainfall or flood frequency analysis in water resources planning are the frequentist viewpoint that defines the probability as the limit of relative frequency, and the unknown parameters in probability model are considered as fixed constant numbers. Thus the probability is objective and the parameters have fixed values so that it is very difficult to specify probabilistically the uncertianty of these parameters. This study constructs the uncertainty evaluation model using Bayesian MCMC and Metropolis -Hastings algorithm for the uncertainty quantification of parameters of probability distribution in rainfall frequency analysis, and then from the application of Bayesian MCMC and Metropolis- Hastings algorithm, the statistical properties and uncertainty intervals of parameters of probability distribution can be quantified in the estimation of probability rainfall so that the basis for the framework configuration can be provided that can specify the uncertainty and risk in flood risk assessment and decision-making process.

• Advances in concrete construction
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• v.9 no.4
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• pp.337-343
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• 2020

In the present study, by employing fragility analysis, the seismic vulnerability of a concrete girder bridge, one of the most common existing structural bridge systems, has been performed. To this end, drift demand model as a fundamental ingredient of any probabilistic decision-making analyses is initially developed in terms of the two most common intensity measures, i.e., PGA and Sa (T₁). Developing a probabilistic demand model requires a reliable database that is established in this paper by performing incremental dynamic analysis (IDA) under a set of 20 ground motion records. Next, by employing Bayesian statistical inference drift demand models are developed based on pre-collapse data obtained from IDA. Then, the accuracy and reasonability of the developed models are investigated by plotting diagnosis graphs. This graphical analysis demonstrates probabilistic demand model developed in terms of PGA is more reliable. Afterward, fragility curves according to PGA based-demand model are developed.

• The Journal of Industrial Distribution & Business
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• v.11 no.3
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• pp.29-38
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• 2020

Purpose: Geographical relocation has been conducted to alleviate overcrowding and to support balanced regional development in many countries. Previous studies have seldom examined the effectiveness of relocation on job and life dissatisfaction, particularly in the public sector. The purpose of this study is to investigate the determinants of relocation on job and life dissatisfaction. Proposed research questions include the following: i) do working conditions in the new workplace and interactivity affect job dissatisfaction? ii) do social infrastructure and social activity in the new location affect life dissatisfaction? and iii) is there a relationship between job and life dissatisfaction? Research Design, data, and methodology: The study collected data via an online survey and applied statistical analyses such as factor analysis, regression, and ANOVA. Results: The results of this study found that proposed determinants excluding mobility inefficiency and decision-making affect job and life dissatisfaction. The results also showed that there are relationships between job and life dissatisfaction. Conclusions: The results of this study provide both managerial and policy implications of relocation for the public sector. The results of this study implied that better policy should be designed to increase job and life satisfaction that also accounts for the realities of relocation.

• The Korean Journal of Applied Statistics
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• v.15 no.1
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• pp.153-163
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• 2002

There seems to be a little trouble in delivering an effective teaching of statistics at the school of Business. Students attitude toward the understanding of mathematics appears to be one of the hindrances encountered to the wide spread use of statistics. Nevertheless, the usefulness of statistics is notably appreciated these days although students may not be aware of it. It is true that many processes of decision-making are based on various future uncertainties, however, decisions must be made at the present. In this synopsis, we would like to solve simple business problems, thereby, suggest more constructive ways to match the statistics with the interest of management. We, in the mean time, will talk about the understanding of business, method of teaching, and Monte Carlo education.

• Asian Oncology Nursing
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• v.4 no.1
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• pp.26-37
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• 2004

The purpose of this study was to determine and test treatment-seeking behavior type and decisional factors of the cancer patients after first detecting symptoms. This study used the methodological triangulation. In the first, treatment-seeking behavior type and decisional factor were described based on qualitative data collected from in-depth interviews with 29 cancer patients. Next, they were tested using quantitative data collected from a structured questionnaire involving 165 cancer patients with statistical method. As a result, treatment-seeking behavior from detecting symptoms to visiting a doctor categorized into immediate visit and delayed visit. The decisional factors on time interval between detecting symptoms and visiting a doctor was influenced by the perceived seriousness of symptoms, the experiences of visiting a doctor previously with similar symptoms, social-group influences on visiting a doctor, barriers to visiting a doctor, and health concerns. There were significant relationship between treatment-seeking time and these factors, however, there was no statistically significant relationship between treatment-seeking time and the demographic characteristics. It is expected that results of this study can be used for nursing education data of cancer patients for early diagnosis after detecting symptoms

• International Journal of Contents
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• v.5 no.1
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• pp.37-45
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• 2009

This paper empirically tests pecking order theory. Korean listed firms are used as the samples. On the whole we find supportive results for pecking order theory. The fixed effect model on the whole period shows that as pecking order theory suggests that debt ratio decreases as cash flow. ROA, physical assets, and firm size increase. Again, it is shown that corporate debt ratio significantly decreases as cash flow or ROA increases in every sub-sample, which coincides with the prediction of pecking order theory. Corporate debt ratio significantly decreases as physical assets or jinn size increases in case of the whole sample, pre-financial crisis period, and the sub-samples by q-ratio, which also supports the prediction of pecking order theory. Statistical significance of the coefficients of physical assets or firm size completely disappears after Korean financial crisis. Perhaps it is because the role of physical assets or firm size as a mitigator of information asymmetry significantly weakens after the financial crisis as Korean financial market becomes more transparent. For small firms only size variable is negatively and significantly related with debt to assets. It seems that size is an important factor for smaller firms in making financing decision.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.967-976
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• 2020

This study aims to improve knowledge of consumers' decision-making by testing a conceptual model that considers the hotel's service quality and service value toward customers' behavioral intentions using a mediator, which is the role of consumers' satisfaction. The object of this research is five-star hotels, which has become a significant segment of the general hotel industry and is undergoing rapid expansion. This research is a quantitative research using questionnaire as the sampling method answered by people who have stayed at five-star hotels before. The total of 150 valid respondents were used in this study. The collected data was processed by a statistical tool software, Partial Least Square (PLS). The major findings of this research showed that the relations between service quality and service value of five-star hotels do not have significant positive impact on consumers' behavioral intention, nonetheless the mediation analysis shows that customers' satisfaction partially mediates service quality and service value with consumers' behavioral intentions to stay. It means that in this case, consumers' satisfaction has an important role to mediate service value quality and service value. As a result, the study shows that four out of six hypotheses are supported. A couple of recommendations are suggested for further research.

• Korean Journal of Community Nutrition
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• v.4 no.4
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• pp.587-593
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• 1999

The purpose of this study were to : (a) analyzed price elasticity of university students in foodservice operations and (b)provide insight for price decision-making. Questionnaires were composed of price elasticity, the utilization and opinions of students on university foodservice operations, and demographic information regarding respondents. The questionnaires were distributed to 600 university students of 6 universities located in Seoul. Statistical data analysis was completed using the SAS package for descriptive analysis, t-test, ANOVA, and Pearson’s correlation. The results of this study can be summarized as follows: The average price for lunch was ￦1,663 for campus food, and ￦2,965 for off-campus restaurants. The frequency of utilizing the university cafeteria was fairly high. Students felt that the proper price for lunch was ￦1,446, presenting a lower price than the actual average price for lunch. The price elasticity was investigated in relation to the change in utilization rate when these was a price increase. The price elasticity was 2.03, with significant differences between sex, age, and major. The groups utilizing the university cafeteria frequently, taking longer time to go to off-campus or that were satisfied with the university cafeteria, had a lower price elasticity than those that did not. The results of this study suggest that predicting the price elasticity of the target market would assist the pricing policy, and the fact that the same students have different price elasticity by place and atmosphere can be used in marketing strategies.