• Korea Journal of Hospital Management
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• v.9 no.1
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• pp.95-114
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• 2004

The purpose of this study was to identify the relationship between organizational culture based on the competing values approach, human resource management practices and organizational performance at a hospital. Participants were 138 employee in a general hospital. Data were collected during May, 2003 using four structured instruments. The data were analyzed using Chi-square test, One-way ANOVA, $scheff{\acute{e}}$ test and Cluster analysis. Three clusters were derived from cluster analysis. The first cluster consisted of cultures which were mixed developmental, consensual, hierarchial and rational culture equivalently. The second cluster consisted of the weak cultures, which was lower score than other clusters. The third cluster consisted of strong comprehensive cultures, which had higher score than other clusters. In the three clusters, hierarchial and rational culture were superior. The difference between human resource management practices and organizational commitment in organizational performance according to organizational culture clusters was found to be statistically significant. The cluster which had strong comprehensive cultures, in contrast to other clusters, more significantly affects on human resource management practices and organizational commitment. However, the strength of organizational culture does not have a significant effect on customer oriented service performance in organizational performance. These results showed that types of organizational culture were significantly related to human resource management practices and organizational commitment, and understanding the existing culture is essential to develop the organization of hospitals.

• Journal of Fashion Business
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• v.20 no.3
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• pp.17-29
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• 2016

To develop baseball catcher leg guards, 3-dimensional (3D) methodologies, which are 3D human body data, reverse engineering, modeling, and printing, optimized guard design for representative positions. Optimization was based on analysis of 3D body surface data and subjective evaluation using 3D printing products. Reverse engineering was used for analysis and modeling based on data in three postures: standing, $90^{\circ}$ knee flexion, and $120^{\circ}$ knee flexion. During knee flexion, vertical skin length increased, with the thigh and knee larger in anterior area compared to the horizontal dimension. Moreover, $120^{\circ}$ knee flexion posture had a high radius of curvature in knee movement. Therefore, guard designs were based on increasing rates of skin deformation and numerical values of radius of curvature. Guards were designed with 3-part zoning at the thigh, knee, and shin. Guards 1 and 2 had thigh and knee boundaries allowing vertical skin length deformation because the shape of thigh and knee significantly affects to its performance. Guard 2 was designed with a narrower thigh and wider knee area than guard 1. The guards were manufactured as full-scale products on a 3D printer. Both guards fit better in sitting than standing position, and guard 2 received better evaluations than guard 1. Additional modifications were made and an optimized version (guard 3) was tested. Guard 3 showed the best fit. A design approach based on 3D data effectively determines best fitting leg guards, and 3D printing technology can customize guard design through immediate feedback from a customer.

• Journal of the Korean Society for Library and Information Science
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• v.40 no.1
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• pp.241-262
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• 2006

The University libraries need to develop the balanced scorecard concerning general management in order to measure the total performance of the organization that measure not only quantity measurement based on resources and quality measurement based on information services but also effectiveness of resource utilization, efficiency ability providing the services and potential capability of the members adopting the diverse changes flexibility as organic organization under the rapidly changing circumstances nowadays. This study developed the BSC model into the four perspectives such as customer, resource, internal process, learning and growing modifying BSC model developed by Kaplan and Norton to fit university libraries as nonprofit organization and developed the strategic map and performance measurement indicators on the strategy of each perspective. Ultimately, this study tried to provide an integrated strategic management indicators providing comprehensive picture of university libraries from strategic plan to performance applying the BSC linking strategic plan.

• The Transactions of the Korea Information Processing Society
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• v.7 no.7
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• pp.2149-2160
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• 2000

Recently many efforts on the development of automatic processing system for delivery sequence sorting have been performed in ETRI, which requires the use of postal4-state bar code system to encode delivery points. The 4-state bar code called postal 4-state barcode for high speed processing that has been specifically designed for information processing of logistics and automatic processing of he mail items. The Information of 4-state bar code indicates mail data such as post code, delivery sequence number, error correction code worked, customer information, and a unique ID. This appear addresses the issue on he reduction of reading error in postal 4-state raster beam based bar code reader. The raster beam scanning features are the unequally distributed number of spots per each unit, which cause reading errors. We propose a method for reducing the bar code reading error by adjusting measured values of bar code width to its average value over each interval. The test results show that the above method reduces the average reading error rate approximately by 99.88%.

• The KIPS Transactions:PartB
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• v.17B no.5
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• pp.389-398
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• 2010

The Vehicle Routing and Scheduling Problem with Time Windows(VRSPTW) is to establish a delivery route of minimum cost satisfying the time constraints and capacity demands of many customers. The VRSPTW takes a long time to generate a solution because this is a NP-hard problem. To generate the nearest optimal solution within a reasonable time, we propose the heuristic by using an ACO(Ant Colony Optimization) with multi-cost functions. The multi-cost functions can generate a feasible initial-route by applying various weight values, such as distance, demand, angle and time window, to the cost factors when each ant evaluates the cost to move to the next customer node. Our experimental results show that our heuristic can generate the nearest optimal solution more efficiently than Solomon I1 heuristic or Hybrid heuristic applied by the opportunity time.

• Journal of Korean Society for Quality Management
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• v.47 no.4
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• pp.795-806
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• 2019

Purpose: The purpose of this study was to propose useful suggestions by analyzing the causal relationship between technology-based self-service for smart airport and intention to use. Methods: The data was collected by using the structured questionnaires. The proposed research model is tested using 231 valid questionnaires by R.3.2.1 plspm package. Results: The results of this study are as follows; the effecting factors of technology based self service for introducing smart airport, it was found that the effects of personal innovativeness and enjoyment and responsiveness, social impact were significant for acceptance and personal innovativeness was not significant on perceived usefulness. This study suggests significant factors on the implementation of smart airports and technology-based self-service. It also introduced new technologies in the future by looking at various characteristic factors that affect the intention of using technology-based self-service to promote smart airports. Conclusion: Airports and aviation industries need to have easy access to the airport's technology-based self-services to build a successful smart airport and create an environment that can be used appropriately at the time the customer wants. Also when customers use technology-based self-service devices, they should consider to maximize the positive emotions (emotional values such as pleasure or fun) that customers feel.

• Archives of design research
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• v.19 no.5 s.67
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• pp.243-254
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• 2006

Maniac consumers have a ripple effect on marketing because they are the main body of trends and consumer economy. So It is very important that we should first read needs and wants - in other words, psychological motives. And then we should find maniac consumer segments. This is an exploratory study that was done to obtain an insight for the new maniac consumer market segmentation. It examined the definition and characteristics of digital maniacs in Korea, and it carried out a literature study on consumers who have a similar consumption trend as the maniac users as a pre-study. Also, it looked into the trends and values of the maniac community in Korea, using the previous study's scale for innovative consumers. Next, the study interviewed maniac users using the first data and focused on discovering and grouping the new maniac segments based on the results. The study analyzed the purchase behaviors, decision-making, attitude for involvement and potential needs of the digital maniacs in Korea, and it discovered the segments for the segmentation of maniacs so it could find out the disposition and status of the digital maniacs. Such approach can be used as a strategical due for maniac target marketing and design(customer-oriented marketing and design) in the future.

• Journal of Intelligence and Information Systems
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• v.10 no.2
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• pp.39-51
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• 2004

Product factory is a real-time financial product design system for the Internet customers. The hybrid product is a product taking combined characteristics of two different products. Hybrid product factory is a product factory that designs hybrid products from two different products based on both business rules and customer requirements. Though the importance of product factory is emphasized in the industry, there has not been much research peformed regarding product factory. In this research, we developed a product factory system that designs hybrid products. To design a hybrid product, it is necessary to have a method to combine attributes and values of two different products, and a method to control the combining operations to properly reflect business requirements. In this research, we developed low different combining operators and business rule representations. rn addition, to prove the effectiveness of this methods, we implemented a prototypical system and demonstrated on cases regarding financial loan products.

• The Journal of the Korea Contents Association
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• v.13 no.6
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• pp.401-411
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• 2013

Selection of profitable research and development (R&D) projects is one of the major factors affecting sustained growth of firms and countries. This paper analyze what influences the knowledge on the business model exerted on selection of a R&D project. A business model converts the technology value to the customer value, and comprehensively describes the target customers for commercializing a new technology, core values, behaviors within organizations, resources, and external partners. Thus, understanding a business model would make R&D project evaluators place the feasibility and profitability of the business above the merits of the proposed technology in evaluating the technology development. To verify this hypothesis, we had 78 R&D project evaluators acquire the knowledge on the business model and measured how their criteria for R&D project selection have changed using the AHP method. The results shows that feasibility and profitability are more important than the merit of proposed technology, especially capability of company and business development are more important than the levels of technology innovation.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.6
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• pp.2698-2706
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• 2011

This paper deals with the optimal operation algorithm of SVR(Step Voltage Regulator) which is located with primary feeders and proposes the optimal operation system to evaluate customer voltage. The existing algorithm of SVR adapts the constant sending voltage method, which may cause the power quality problems such as overvoltage and under voltage variations in case where the distributed generations are interconnected with the primary feeders. Therefore, this paper proposes the optimal algorithm of LDC method for SVR using least square method to obtain the optimal setting values. Also, this paper presents the optimal evaluation system based on the former algorithm. The simulation results according to the types and capacities of distributed generations shows the effectiveness.