• 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.

• Women's Health Nursing
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• v.2 no.2
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• pp.270-283
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• 1996

This study was done for the purpose of analyzing the relationship between menopausal symptoms and depression. Data were collected by a questionnaire from November 28 to December 30, 1995. The subjects were 134 women between 40-61 years of age. The instruments used for this study were The Menopausal symptom scale by Neugartom and Depression scale by Zung. The results of the study were as follows. 1. Mean score of menopausal symptoms was 1.59. Mean score orders of experienced symptoms were "Rack pain and joint pain"(2.02), "General weakness"(1.98), "Nervousness"(1.96). The most serious menopausal symptom was psychosomatic symptom.(1.88) Total score orders of experienced symptoms was 27.9 and over 90.3% of women complained menopausal symptom. 2. Mean score orders of depression was 39.13. It was normal range of depression. 85.1% of the women were normal range of depression and 14.2% of women mild depression. 3. The relationship between menopausal symptoms and depression was statistically significant(r=0.5307, p=0.000). When the relationship among three dimensions of menopausal symptoms were explored the psychosomatic symptom(r=0.4090, P=0.000), Physical symptom(r=0.319, P=0.000), Physical symptom(r=0.319, P=0.000) were statistically significant. 4. General characteristic variables were significantly related to the level of menopausal symptoms as follows ; environment of living(F=2.89, p=0.038), religion(F=4.18, P=0.007), times of birth(F=2.66, p=0.043). The analysis of this study have implication for management of middle aged women's health, to solve the nursing problems, and to prevent and relieve climacteric symptoms.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.234-238
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• 2007

Since the plant industry is a total business, it has great impact on the related industries and generates high value. However, in order to have a competitive engineering skills and capabilities, the plant industry requires long-term investment and a continuous strategic planning at the consortium level or national level. Also, a system needs to be established to share the information of the plant industry's overseas orders awarded and success factors. Thus, this study has conducted a survey and case study of the plant construction in foreign countries. Statistical analysis was performed and a basic data structure was built as a means of improving the future technological capabilities of the plant industry.

• The Korean Journal of Ceramics
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• v.2 no.4
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• pp.238-241
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• 1996

New porous BaTiO$_3$ thermistors were fabricated using graphite powders (0 to 10 wt. %) and their porosities were in the range of 9.1% to 16.2%. As results of impedance analysis, it was confirmed that the pores affected the grain-boundary resistance and the bulk (grain interior) resistance was constant as about 25 $\Omega$ at room temperature. The magnitude of PTCR effect $(p_{max}/p)$ markedly increased from 3 orders to 7 orders without addition of any acceptor dopant such as Mn or Cr.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2012.11a
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• pp.143-145
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• 2012

Overseas construction industry has performed the leading role in the economic development. In this study, effect of international oil prices, GDP and price index, on the regional international construction contract amount is compared and analyzed. Overseas construction market received a devastating effect due to the 1997's economic crisis. However, the market has remained stable since 1998, and since 2005, the trend has been a surge in new orders.

• Journal of the Korean Operations Research and Management Science Society
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• v.41 no.2
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• pp.35-51
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• 2016

This paper proposes a new approximate approach to calculate the order fill rate and the probability of filling an entire customer order immediately from the shelf in a business environment under purchase dependence characterized by customer purchase patterns observed in such areas as marketing, manufacturing systems, and distribution systems. The new approximate approach divides customer orders into item orders and calculates fill rates of all order types to approximate the order fill rate. We develop a greed iterative search algorithm (GISA) based on the Gauss-Seidel method to avoid dimensionality and prevent the solution divergence for larger instances. Through the computational analysis that compares the GISA with the simulation, we demonstrate that the GISA is a dependable algorithm for deriving the stationary joint distribution of on-hand inventories in the type-K pure system. We also present some managerial insights.

• Journal of the Korean Society of Food Culture
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• v.17 no.2
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• pp.153-164
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• 2002

This study examined the consumers' awareness and information need toward the irradiated foods and environmental hormones. The data were collected from 350 adults living in Daegu and Busan by the self-administered questionnaire. Frequencies and chi-square tests were conducted by SPSS. The results of the survey were as follows: (1) consumers' awareness regarding the irradiated foods and environmental hormones were low, while consumers' concerns for them were high, (2) the orders of the information needs for the irradiated foods are safety of irradiated foods, dose permitted for food irradiation, benefits of irradiated foods, kinds of permitted irradiated foods, and legislations of food irradiation, and (3) the orders of the information needs for the environmental hormones are harmfulness of environmental hormones, standards for contamination by environmental hormones, materials releasing environmental hormones, methods to prevent environmental hormones, and kinds of environmental hormones.

• Korean Management Science Review
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• v.33 no.1
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• pp.1-16
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• 2016

Drop-shipping is a commonly adopted online-order fulfillment strategy in the Internet age. In this practice, online retailers leverage the fulfillment capabilities of suppliers to fulfill orders. On the other hand, purchase dependence is a frequent phenomenon and is characterized by the purchase of certain items together due to their unknown interior associations. Although this concept has been significantly examined in the marketing field (e.g. market basket analysis), it has largely remained unaddressed in operations management. This paper develops an (R, T) model to address an environment in which unmet demand orders are partially lost and partially backordered when purchase dependence exists. The partial backorders are fulfilled by a drop-shipping option. Through computational analyses, this paper demonstrates the effect of both drop shipping on a partial backordering and purchase dependence. The results shows that more profit can be realized by utilizing a drop-shipping option under purchase dependence.

• Journal of the Korean Mathematical Society
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• v.59 no.6
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• pp.1153-1170
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• 2022

In this paper, we investigate the portfolio optimization problem under the SVCEV model, which is a hybrid model of constant elasticity of variance (CEV) and stochastic volatility, by taking into account of minimum-entropy robustness. The Hamilton-Jacobi-Bellman (HJB) equation is derived and the first two orders of optimal strategies are obtained by utilizing an asymptotic approximation approach. We also derive the first two orders of practical optimal strategies by knowing that the underlying Ornstein-Uhlenbeck process is not observable. Finally, we conduct numerical experiments and sensitivity analysis on the leading optimal strategy and the first correction term with respect to various values of the model parameters.

• Journal of information and communication convergence engineering
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• v.21 no.2
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• pp.159-166
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• 2023

The COI gene is a sequence of approximately 650 bp at the 5' terminal of the mitochondrial Cytochrome c Oxidase subunit I (COI) gene. As an effective DeoxyriboNucleic Acid (DNA) barcode, it is widely used for the taxonomic identification and evolutionary analysis of species. We created a CNN-LSTM hybrid model by combining the gene features partially extracted by the Long Short-Term Memory ( LSTM ) network with the feature maps obtained by the CNN. Compared to K-Means Clustering, Support Vector Machines (SVM), and a single CNN classification model, after training 278 samples in a training set that included 15 genera from two orders, the CNN-LSTM hybrid model achieved 94% accuracy in the test set, which contained 118 samples. We augmented the training set samples and four genera into four orders, and the classification accuracy of the test set reached 100%. This study also proposes calculating the cosine similarity between the training and test sets to initially assess the reliability of the predicted results and discover new species.