• The Journal of the Korea institute of electronic communication sciences
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• v.7 no.2
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• pp.357-364
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• 2012

For this study, real estate brokerage services to customers how to evaluate quality factors and quality factors important for studying about what is preferred. Real estate brokerage service quality factors, the expertise of brokers, dealers sales skills, a sense of responsibility of traders, brokerage firm's position, whether or not participating were chosen franchise. Looking at the findings, and customer service quality factors, the five kinds of real estate brokers a sense of responsibility to be the most important quality factors were analyzed as a favorite, followed by the expertise of brokers, sales skills brokers, brokerage firm's presence, a franchise analysis of whether the order has been participating. As the results of this study, the traders as traders sense of responsibility and expertise and strive to improve, friendly servece and act as an active intermediarv will need to improve sales skills. Continuous promotion of the brokerage firm's position is shown to be critical, franchise affiliated businesses in order to make use of an efficient information network of the Internet is seen to be in need of improvement. This paper, we have experienced a real estate brokerage contracts require customers a service directly to find out whether the data obtained through interviews with the empirical analysis is Therefore, work-related departments of Ministry of Land and brokerage herein with reference to the Association to take measures to Once you have contributed little bit. Brokerage industry and the traders themselves, as well as the competition is to the straight ahead Do not look at a value for the development of brokerage will be constantly working.

• Quality Improvement in Health Care
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• v.4 no.2
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• pp.210-221
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• 1997

Background : Willingness to satisfy patients(WSP) among nurses is essential to promoting patient satisfaction which is a critical component in the quality of health care and its outcomes. This study was carried out to empirically find out the affecting factors of WSP among nurses in hospital settings. Methods : The model contains seven job relating determinants and two intervening variables as follows: i) job relating variables of professional status, task requirements, pay, physician-nurse interaction, nurse-nurse interaction, organizational policies, and autonomy, ii) intervening variables of job satisfaction and organizational commitment. Data were collected from 205 nurses in two general hospitals owned by one foundation located in Pusan, Korea, using a structured and self-administered questionnaire. Results : The major results were as follows: First, the results of ANOVA on WPS by personal characteristics showed a statistically significant relationships between WPS and hierarchical orders(p<.01) ana tenure(p<.10). Comparing with the lower orders and shorter tenure, the higher orders and the longer tenure showed better WPS. Second, the results of simple correlation analysis between WPS and determinants and intervening variables showed the following variables, in order of importance, were statistically significant(p<.01): work satisfaction(+), organizational commitment(+), task requirements(+), nurse-interaction(+), professional status(+), physician-nurse interaction(+). Third, the results of path analysis showed that two intervening variables of job satisfaction and organizational commitment, and three determinants of task requirements, professional status, and nurse-nurse interaction had a positively significant direct effect to WPS. Conclusion : The results suggest that nurses who are more satisfied with task requirements, status, nurse-nurse interaction, overall job satisfaction, and organizational commitment, will behave in ways that patients find more satisfied.

• Earthquakes and Structures
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• v.18 no.1
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• pp.73-82
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• 2020

With the coal mining depth increasing, both stress and gas pressure rapidly enhance, causing coal and gas outburst risk to become more complex and severe. The conventional method for prediction of coal and gas outburst adopts one prediction index and corresponding critical value to forecast and cannot reflect all the factors impacting coal and gas outburst, thus it is characteristic of false and missing forecasts and poor accuracy. For the reason, based on analyses of both the prediction indicators and the factors impacting coal and gas outburst at the test site, this work carefully selected 6 prediction indicators such as the index of gas desorption from drill cuttings Δh₂, the amount of drill cuttings S, gas content W, the gas initial diffusion velocity index ΔP, the intensity of electromagnetic radiation E and its number of pulse N, constructed the Bayes discriminant analysis (BDA) index system, studied the BDA-based multi-index comprehensive model for forecast of coal and gas outburst risk, and used the established discriminant model to conduct coal and gas outburst prediction. Results showed that the BDA - based multi-index comprehensive model for prediction of coal and gas outburst has an 100% of prediction accuracy, without wrong and omitted predictions, can also accurately forecast the outburst risk even for the low indicators outburst. The prediction method set up by this study has a broad application prospect in the prediction of coal and gas outburst risk.

• Journal of the Korea Safety Management & Science
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• v.16 no.4
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• pp.371-378
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• 2014

Manual materials handling tasks are the main risk factors for the work-related musculoskeletal disorders. Many assistant tools for manual materials handling are being used in various kind of industries. One of them is a 4-wheeled cart which is widely used in manufacturing factories, hospitals, etc. The major force required to control the 4-wheeled cart is pushing and pulling. There are two types of handles being used for the 4-wheeled cart : vertical type (two vertical handles), and horizontal type (one horizontal handle). This study tried to investigate the pushing forces and subjective discomforts (hand/writst, shoulder, low back, and overall) of the two handle types with different handle height and distance conditions. Twelve healthy male students (mean age = 23.4 years) participated in the experiment. The independent variables were handle angle (horizontal, vertical), handle height (low, medium, high), and handle distance (narrow, medium, wide). The full factorial design was used for the experiment and the maximum pushing forces were measured in 18 different conditions ($2{\times}3{\times}3$). Analysis of variance (ANOVA) procedure was conducted to test the effects of the independent variables on the pushing force and discomfort levels. Handle height and angle were found to be the critical design factors that affect the maximal pushing forces and subjective discomfort. In the middle height, subjects exerted higher pushing forces, and experience lower discomfort levels compared to the high, and low height. There was no statistical influence of the handle distance to the pushing forces and subjective discomfort levels. It was found out that the effects of the handle angle (horizontal and vertical) on both pushing force and subjective discomfort were statistically significant (p < 0.05). The vertical handle revealed higher pushing force and lower discomfort level than the horizontal handle. The reason for that was thought to be the different postures of the hand when grasping the handles. The horizontal handle induced pronaton of the hand and made hand posture more deviated from the neutral position.

• Journal of Technologic Dentistry
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• v.19 no.1
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• pp.131-152
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• 1997

1002 Students in the dept. of the dental laboratory technology of 8 college around the nation were surveyed on the three items-the professional attitude, their job-plan after graduation and the conditions and causes exerting influence on their choice of a job. 1. professional Consciousness About the purpose to take a job, 41.8% of all the students replied the economic stability. Another question is on the formation of the professional consiousness. 34.7% said they didn't accomplish it yet, while 32.1% did. This shows that the number of those hwo are resolute isnt's too low in comparison with those not. On the considering factors when they take a job, stability was first favored, with the capacity to improve itself and then profitability following on as second and third. 2. Job-plan after School 78.9% of all wanted to work in their major field as a dental technician. About their knowledge of the job, 60.4% know it well; though, their confidence in getting the job is close to the low level wholly. 3. Factors Having Influence on the selection of a job About the most decisive point in one's choice of job, 37.3% selected first the degree of completion of his major-field knowledge and skill. The most critical person when choosing his job was himself, a great number of students answered. About the working area favored, 52.9% first answered Seoul on the reason why it is a familiar place where their family or relatives have already lived and the special knowledge related to the job is easilly accessed.

• Geomechanics and Engineering
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• v.13 no.5
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• pp.861-879
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• 2017

Coal and gas outburst is a serious dynamic disaster that occurs during coal mining and threatens the lives of coal miners. Currently, coal and gas outburst is commonly predicted using single indicator and its critical value. However, single indicator is unable to fully reflect all of the factors impacting outburst risk and has poor prediction accuracy. Therefore, a more accurate prediction method is necessary. In this work, we first analyzed on-site impacting factors and precursors of coal and gas outburst; then, we constructed a Fisher discriminant analysis (FDA) index system using the gas adsorption index of drilling cutting ${\Delta}h_2$, the drilling cutting weight S, the initial velocity of gas emission from borehole q, the thickness of soft coal h, and the maximum ratio of post-blasting gas emission peak to pre-blasting gas emission $B_{max}$; finally, we studied an FDA-based multiple indicators discriminant model of coal and gas outburst, and applied the discriminant model to predict coal and gas outburst. The results showed that the discriminant model has 100% prediction accuracy, even when some conventional indexes are lower than the warning criteria. The FDA method has a broad application prospects in coal and gas outburst prediction.

• International Journal of Naval Architecture and Ocean Engineering
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• v.11 no.1
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• pp.22-32
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• 2019

On offshore platforms, oil and gas leaks are apt to be the initial events of major accidents that may result in significant loss of life and property damage. To prevent accidents induced by leakage, it is vital to perform a case-specific and accurate risk assessment. This paper presents an integrated method of Ddynamic Qquantitative Rrisk Aassessment (DQRA)-using the Decision Making Trial and Evaluation Laboratory (DEMATEL)-Bayesian Network (BN)-for evaluation of the system vulnerabilities and prediction of the occurrence probabilities of accidents induced by leakage. In the method, three-level indicators are established to identify factors, events, and subsystems that may lead to leakage, fire, and explosion. The critical indicators that directly influence the evolution of risk are identified using DEMATEL. Then, a sequential model is developed to describe the escalation of initial events using an Event Tree (ET), which is converted into a BN to calculate the posterior probabilities of indicators. Using the newly introduced accident precursor data, the failure probabilities of safety barriers and basic factors, and the occurrence probabilities of different consequences can be updated using the BN. The proposed method overcomes the limitations of traditional methods that cannot effectively utilize the operational data of platforms. This work shows trends of accident risks over time and provides useful information for risk control of floating marine platforms.

• The Korean Journal of Applied Statistics
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• v.35 no.4
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• pp.527-541
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• 2022

A company is a social group of many individuals that work together to obtain better results, and it is an organization that pursues common goals such as profit. As a result, forming networks among members, as well as individual communication abilities, is critical. The purpose of this research was to determine what factors influence the creation of employee advice relationships. Using the ERGM(Exponential Random Graph Model) approach, we looked at the network data of 44 individuals from consulting firms with offices in the United States and Europe. The significance of structural network factors like connectivity was first discovered. Second, the gender factor had the most significant main influence on the likelihood of adopting each other's advice. Third, geographical homogeneity resulted in higher link probabilities than major impacts of gender. This research looked at ways to make a company's network more efficient and active.

• Journal of East-West Nursing Research
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• v.28 no.2
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• pp.170-178
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• 2022

Purpose: This study aimed to identify the factors influencing post-traumatic stress disorder in intensive care unit nurses in dedicated hospitals for coronavirus disease of 2019 (COVID-19) during the peak of the outbreak. Methods: This study used a cross-sectional correlational design. A total of 100 participants completed questionnaires comprising the Impact of Event Scale-Revised (IES-R), coping strategy indicator, social support, and post-traumatic growth. Post-traumatic stress disorder was classified as normal, mild risk, and high risk. Data were analyzed using 𝛘² test, Fisher's exact test, Kruskal-Wallis test with multiple comparison analysis, Pearson correlation coefficient, and multinominal logistic regression analysis. Results: Fifty seven nurses (57.0%) had a high risk of post-traumatic stress. Higher levels of post traumatic stress were associated with higher levels of social support seeking, and higher levels of avoidance, and lower levels of social support from supervisors. Higher post traumatic growth was correlated with higher social support for seeking coping, and problem solving coping strategies, and social support from supervisors and colleagues. Post-traumatic stress risk was associated with social support seeking and supervisors' social support. In addition, a higher risk of post-traumatic stress was related to COVID-19 work duration and supervisors' social support. Conclusion: Supportive programs, including increasing social support and building coping skills, may be suggested to safeguard the mental health of critical care nurses during the pandemic.

• Journal of the Korean Society of Safety
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• v.37 no.4
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• pp.36-43
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• 2022

Generally, in construction sites, the pipe support installation workers often use support pins of 9~10 mm which are much smaller than the safety standard sizes for work convenience. Although the safety certification standard thickness of the support pins is 11 mm, and the supervisors are often indifferent to this. Hence, products with far lower performance than the pipe support safety certification value of 40,000 N, which is applied in the supporting post-structural review, are used. Accordingly, this acts as a factor causing collapse accidents in the process of pouring concrete at the construction site. Therefore, this study performed compression experiments on new and reused pipe supports to determine how the thickness of the support pins affects the structural compression performance of the pipe support by considering the thickness of the support pins as a critical variable among various factors affecting the pipe support performance. In the course of the study, the compression test of the pipe support (V2, V4) for the new products showed that only 14 (58.3%) of the total 24 samples satisfied the safety certification standard value of 40,000 N, which indicates that more thorough quality control is required in the manufacturing process. Additionally, comparing the thickness of the support pins and their fracture shape shows that the pipes with support length of 4.0 m or longer are much more affected by the buckling of the entire length than the thickness of the support pins. Of the several factors affecting the performance of reused pipe supports, it was found that, similar to the new products, the use of support pins, with thickness of 12 mm rather than 11 mm, can satisfy the safety certification value more appropriately. Therefore, regardless of the state of usage, it could be concluded that it is necessary to use 12 mm products, whose thickness is larger than that of the safety certification standard value of 11 mm, to improve the performance of the pipe supports.