• Health Policy and Management
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• v.16 no.3
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• pp.1-18
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• 2006

The organizational effectiveness of hospital in various environmental fluctuations is a large and complex problem. Hospital CEO leadership characteristics may be a critical determinant of employees' job satisfaction and turnover intention. Several empirical studies on transformational leadership found that transformational leadership behaviors were positively related to workers' job satisfaction and turnover intention. Very little research related to this subject has been done in health care settings in Korea. The author explores the relationship between hospital CEO leadership style and its effect on job satisfaction and turnover intention among the all staffs of general hospital. The relationship of hospital CEO leadership style to employees' job satisfaction was investigated using the Bass's leadership paradigm of transformational and transactional leadership. The Multifactor Leadership Questionnaire(MLQ) and the index of job satisfaction and turnover intention were completed by 493 hospital employees(doctors, nurses, hospital administrators, technicians, and assistants). The findings show a similar trend to the previous studies. Hospital CEO leadership behaviors and employee outcomes were significantly correlated. Correlations showed a significant positive relationship between those hospital CEO exhibiting a transformational leadership style and the job satisfaction of their staffs. The results of multiple regression analysis indicate that the effect of charisma in transformational leadership behaviors is more higher than other variables. Transformational leadership style may be a more effective strategy and have a greater effect on staff outcomes, attitudes and behaviors. The findings of this study reveal implications for efficient hospital management and the importance of understanding relationship between hospital CEO's leadership style and subordinate behaviors in the context of CEO's desirable role and function for hospital strategy planning and future direction.

• Journal of Global Scholars of Marketing Science
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• v.15 no.2
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• pp.1-25
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• 2005

Unlike the traditional bricks-and-mortar marketplace, the online environment includes several distinct factors that influence Web site trust. As consumers become more savvy about the Internet, the author contends they will insist on doing business with web companies they trust. This study examines 1) how Web site trust is affected by the following web purchase-related factors: security, privacy, brand name, word-of-mouth, good online experience, and quality of information, and 2) how it influences outcomes. Unlike Urban and colleagues' study (2000), the author argues that not all e-trust bUilding programs guarantee success in building Web site trust. In addition to the mechanism depending on a program, building e-brand trust requires a systematic relationship between a consumer and a particular web site. The findings show that Web site trust does not build one or two components but are established by the interrelationships of complex components. By carefully investigating these variables in formulating marketing strategies, marketers can cultivate brand loyalty and gain a formidable competitive edge.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.1
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• pp.79-86
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• 2017

This research focused on deciding optimal manufacturing WIP (Work-In-Process) limit for a small production system. Reducing WIP leads to stable capacity, better manufacturing flow and decrease inventory. WIP is the one of the important issue, since it can affect manufacturing area, like productivity and line efficiency and bottlenecks in manufacturing process. Several approaches implemented in this research. First, two strategies applied to decide WIP limit. One is roulette wheel selection and the other one is elite strategy. Second, for each strategy, JIT (Just In Time), CONWIP (Constant WIP), Gated Max WIP System and CWIPL (Critical WIP Loops) system applied to find a best material flow mechanism. Therefore, pull control system is preferred to control production line efficiently. In the production line, the WIP limit has been decided based on mathematical models or expert's decision. However, due to the complexity of the process or increase of the variables, it is difficult to obtain optimal WIP limit. To obtain an optimal WIP limit, GA applied in each material control system. When evaluating the performance of the result, fitness function is used by reflecting WIP parameter. Elite strategy showed better performance than roulette wheel selection when evaluating fitness value. Elite strategy reach to the optimal WIP limit faster than roulette wheel selection and generation time is short. For this reason, this study proposes a fast and reliable method for determining the WIP level by applying genetic algorithm to pull system based production process. This research showed that this method could be applied to a more complex production system.

• Journal of the Korea Society of Computer and Information
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• v.11 no.6 s.44
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• pp.49-57
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• 2006

While developing a complex reactive software system. it is very important to analyze the user requirement and reflect it to the developed system. Therefore understanding the need of users precisely and promptly is the key to the successful software system development. Among several requirement specification languages, message sequence charts (MSCs), also known as sequence diagrams in UML are the most widely used scenario notation. Live Sequence Charts (LSCs) are a variant ot MSCs, characterized by its message abstraction facility and the modality of scenarios. In this paper, I define the formal semantics of LSC specification including the essential language constructs such as pre-charts, variables, assignment and conditions. The range of the formalized LSC language has been broadened, and the scope of the formalized semantics is much closer to the complete LSC specification.

• Architectural research
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• v.4 no.1
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• pp.7-16
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• 2002

In order to examine theoretical underpinnings of preference for built forms, 129 subjects are asked to rate a series of 9 slides of residential houses depicting a wide range of architectural styles on a 5 point scale, for coherence, complexity, excitement, familiarity, and natural harmony, respectively. Based on Lee's (2002a, 2002b) two previous studies addressing the issue of aesthetic beauty evaluation for man-made creatures (e.g., residential housing scenes), this study summarizes several meaningful findings. As reported by all the subjects, first, both "desire to visit" and "desire to live in" turned out to be a good predictor of preference as the two measures are highly correlated in statistically significant levels (99.9%). People who desire to visit a spot are more likely to desire to live in it. Second, Pearson's correlations showed that coherence is the opposite end of complexity. The more likely a housing setting is hanging together, the less likely it looks to be complex. Overall, though, it is not clear that the two variables work directly in that way, as weighted on preference ratings. That is, coherence and complexity are likely to be totally two independent systems that affect the ratings of preference. Third, both excitement and environmental sensitivity (e.g., harmony of a house with its surrounding nature) most highly account for the preference for various housing scenes, while familiarity has only a little effect on preference ratings. Possibly, people like or dislike a visual thing, no matter how much they are familiar with it. Finally, this study suggested that design professionals could communicate effectively with their clients if sets of visual standards as an appropriate communication tool for better design are properly established.

• Survey Research
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• v.11 no.1
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• pp.123-144
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• 2010

In new sample design for Korea Housing Survey to research about housing policy, total strata are forty five because individual results of sixteen regions are estimated. The sample size is determined by sample errors of several variables which are the living area, family income, householder income, and living expenses. The sample size of each region is determined by relative standard error of existing result, and the strata sample size is to use the square root proportion allocation. Enumeration districts are sampled by the probability proportion to size systematic sampling in proportion to the enumeration district size, and the systemic sampling to use assortment characteristics. We considered a new apartment complex because of variation reflections which are rebuilder and redevelopment of houses. To get estimators of mean and variance, we used the design weighting, non-response adjusting, and post-stratification. In order to consider estimation efficiency, we calculate the design effect using estimators of variance.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.49 no.3
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• pp.145-156
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• 2000

In this paper, we propose a new methodology which includes the optimal design procedure of Polynomial Neural Networks(PNN) structure for model identification of complex and nonlinear system. The proposed PNN algorithm is based on GMDA(Group Method of Data handling) method and its structure is similar to Neural Networks. But the structure of PNN is not fixed like in conventional Neural Networks and can be generated. The each node of PNN structure uses several types of high-order polynomial such as linear, quadratic and cubic, and is connected as various kinds of multi-variable inputs. In other words, the PNN uses high-order polynomial as extended type besides quadratic polynomial used in GMDH, and the number of input of its node in each layer depends on that of variables used in the polynomial. The design procedure to obtain an optimal model structure utilizing PNN algorithm is shown in each stage. The study is illustrated with the aid of pH neutralization process data besides representative time series data for gas furnace process used widely for performance comparison, and shows that the proposed PNN algorithm can produce the model with higher accuracy than previous other works. And performance index related to approximation and prediction capabilities of model is evaluated and also discussed.

• Journal of Korean Society on Water Environment
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• v.27 no.1
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• pp.73-87
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• 2011

An abnormal mono-specific bloom of the cyanobacterium Microcystis aeruginosa had developed at a specific location (transitional zone, monitoring station of Hoenam) in Daecheong Reservoir from middle of July to early August, 2001. The maximum cell counts during the peak bloom reached 1,477,500 cells/mL, which was more than 6~10 times greater than those at other monitoring sites. The hypothesis of this study is that the timing and location of the algal bloom was highly correlated with the local environmental niche that was controled by physical processes such as hydrodynamic mixing and pollutant transport in the reservoir. A three-dimensional, coupled hydrodynamic and ecological model, ELCOM-CAEDYM, was applied to the period of development and subsequent decline of the bloom. The model was calibrated against observed water temperature profiles and water quality variables for different locations, and applied to reproduce the algal bloom event and justify the limiting factor that controled the Microcystis bloom at R3. The simulation results supported the hypothesis that the phosphorus loading induced from a contaminated tributary during several runoff events are closely related to the rapid growth of Microcystis during the period of bloom. Also the physical environments of the reservoir such as a strong thermal stratification and weak wind velocity conditions provided competitive advantage to Microcystis given its light adaptation capability. The results show how the ELCOM-CAEDYM captures the complex interactions between the hydrodynamic and biogeochemical processes, and the local environmental niche that is preferable for cyanobacterial species growth.

• The Korean Journal of Applied Statistics
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• v.35 no.2
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• pp.217-227
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• 2022

Quantile regression is widely used in many fields based on the advantage of providing an efficient tool for examining complex information latent in variables. However, modern large-scale and high-dimensional data makes it very difficult to estimate the quantile regression model due to limitations in terms of computation time and storage space. Divide-and-conquer is a technique that divide the entire data into several sub-datasets that are easy to calculate and then reconstruct the estimates of the entire data using only the summary statistics in each sub-datasets. In this paper, we studied on a variable selection method using Bayes information criteria by applying the divide-and-conquer technique to the penalized quantile regression. When the number of sub-datasets is properly selected, the proposed method is efficient in terms of computational speed, providing consistent results in terms of variable selection as long as classical quantile regression estimates calculated with the entire data. The advantages of the proposed method were confirmed through simulation data and real data analysis.

• Architectural research
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• v.25 no.3
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• pp.41-51
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• 2023

Building restoration is a complex process with a high level of uncertainty. Restoration professionals can significantly benefit from the well-established discipline of project management to achieve their targets; however, available evidence shows that the use of the project management body of knowledge in restoration projects is far from the desired level. Several historical organisations have since been established with the goal of preserving and governing cultural identity, and numerous studies have supported the need of preserving architectural heritage. Many owners, investors, academics, and developers believe that it would be considerably more expensive to renovate and restore an old building than to create a new one. Although the project management process is generally recognised, the concept of project management for architectural heritage projects differs due to the uniqueness of each project. It differs from many construction projects in terms of the need for research-based practices to define scope, planning, scheduling, supervision,decision-making,and also performance. The Greco-Roman Museum in Alexandria's planning, design, and building phases are being studied with the aim of identifying and analysing the variables that contribute to project delays. Three project management pillars were established as a result of gathering this data from the project's stakeholders: the first pillar addresses time management for the existing phase and how it will be incorporated into the new extension phase; the second pillar addresses performance in relation to project management issues in the delivery of the best quality of a construction project; and the third pillar addresses the scope of the new extension because it will significantly impact the other two pillars. This paper argues that a contemporary perspective which utilizes project management tools and techniques can contribute to the conservation of architectural heritage in line with the conservation principles.