• 한국산학기술학회논문지
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• 제13권2호
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• pp.583-596
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• 2012

교수의 변혁적 리더십과 관련된 선행연구들은 주로 학생 차원의 성과에 초점을 두고 있어 학과와 학교차원에 미치는 영향을 소홀히 하는 경향이 있다. 따라서 본 연구는 교수의 변혁적 리더십이 학생과 학과 및 학교에 어떤 영향을 미치는지를 검증하였다. 학생차원의 성과는 학습몰입을, 학과차원의 성과는 학생의 학과동일시를 학교차원의 성과로 학생의 학교를 위한 조직시민행동을 사용하였다. 선행연구들에 의하면 변혁적 리더십은 조직시민행동과 직간접적인 관계가 있다고 함으로 본 연구에서도 학습몰입과 학과동일시를 매개변인으로 사용하여 간접적인 관계도 검증하였다. 연구결과 변혁적 리더십은 학습몰입, 학과동일시 및 학교를 위한 시민행동에 직접적인 영향을 주는 것으로 나타났다. 또한 학과동일시는 학교를 위한 시민행동에 유의한 영향을 주나 학습몰입과 시민행동 간의 긍정적인 관계는 확인하지 못하였다. 학과동일시는 변혁적 리더십과 조직시민행동 간에 매개변인의 역할을 하는 것으로 나타났다. 따라서 교수의 변혁적 리더십이 직접적으로나 간접적으로 학생과 학과 및 학교에 유의한 긍정적인 영향을 미치는 것을 확인하였다.

• 한국CDE학회논문집
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• 제17권1호
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• pp.26-34
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• 2012

Assembly scheduling in shipbuilding is responsible for determine assembly process orders and departmental production schedule for the block, the basic composite unit of ships. It is necessary much more information to decide production scheduling as the characteristic of shipbuilding which has been more complex and more various and also, a lot of waste of time and of human power is generated in the course of data processing. The target shipbuilding manufacturer of this study use empirical techniques, based on the user's discretion, to compile and to apply data which are scattered in DB storages separately. Because of that reason, the user should not only be performed identification and screening operations but also modification and verification for vast amounts of data, so it is hard to keep the consistency of the data and also the operation time is not constant. Accordingly, the object in this study is by presenting an efficient DB framework to reduce wasting time and man-hour at experienced-oriented process, abate user's manual operations and support an efficient scheduling in assembly processes.

• 한국실내디자인학회논문집
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• 제13권6호
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• pp.123-131
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• 2004

The hospitals built In the seventies and eighties have gone through many different extensions and renovations. However, as there had been no prior projections of the future extensions, irrational processes in terms of interdepartmental functional relocations and space availability have recurred. As well, areas and departments are located in several wings, which bring about a decrease in interdepartmental functional linkage, causing a lot of confusion and trouble in hospital management. Through this research we acquire concluding remarks. 1) To restore functional linkage in the whole hospital, strategy of interdepartmental relocation with the clinic-in-the clinic concept is the measure to minimize the problems of the increase in interdepartmental functional linkage since the clinic-in-the clinic concepts minimize circulation and maximizes efficiency of hospital management by making all the dispersed wings as professional as possible. 2) The measure of smooth circulation in order to resolve the problems of patients' difficulty in identifying directions and in decrease in staff's work performance, which arises from the extensions without considering the traffic systems of the whole hospital involves introduction of linear circulation systems in which connections between departments or areas can be made centering main axes of circulation. It is also a responsive measure to enhance the functional linkage between buildings and efficiency of patient's ease in identification of directions.

• Journal of Preventive Medicine and Public Health
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• 제11권1호
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• pp.123-127
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• 1978

The major objective of this research is to identify those hospital characteristics that best explain cost variation among hospitals and to formulate linear models that can predict hospital costs. Specific emphasis is placed on hospital output, that is, the identification of diagnosis related patient groups (DRGs) which are medically meaningful and demonstrate similar patterns of hospital resource consumption. A casemix index is developed based on the DRGs identified. Considering the common problems encountered in previous hospital cost research, the following study requirements are estab-lished for fulfilling the objectives of this research: 1. Selection of hospitals that exercise similar medical and fiscal practices. 2. Identification of an appropriate data collection mechanism in which demographic and medical characteristics of individual patients as well as accurate and comparable cost information can be derived. 3. Development of a patient classification system in which all the patients treated in hospitals are able to be split into mutually exclusive categories with consistent and stable patterns of resource consumption. 4. Development of a cost finding mechanism through which patient groups' costs can be made comparable across hospitals. A data set of Medicare patients prepared by the Social Security Administration was selected for the study analysis. The data set contained 27,229 record abstracts of Medicare patients discharged from all but one short-term general hospital in Connecticut during the period from January 1, 1971, to December 31, 1972. Each record abstract contained demographic and diagnostic information, as well as charges for specific medical services received. The 'AUT-OGRP System' was used to generate 198 DRGs in which the entire range of Medicare patients were split into mutually exclusive categories, each of which shows a consistent and stable pattern of resource consumption. The 'Departmental Method' was used to generate cost information for the groups of Medicare patients that would be comparable across hospitals. To fulfill the study objectives, an extensive analysis was conducted in the following areas: 1. Analysis of DRGs: in which the level of resource use of each DRG was determined, the length of stay or death rate of each DRG in relation to resource use was characterized, and underlying patterns of the relationships among DRG costs were explained. 2. Exploration of resource use profiles of hospitals; in which the magnitude of differences in the resource uses or death rates incurred in the treatment of Medicare patients among the study hospitals was explored. 3. Casemix analysis; in which four types of casemix-related indices were generated, and the significance of these indices in the explanation of hospital costs was examined. 4. Formulation of linear models to predict hospital costs of Medicare patients; in which nine independent variables (i. e., casemix index, hospital size, complexity of service, teaching activity, location, casemix-adjusted death. rate index, occupancy rate, and casemix-adjusted length of stay index) were used for determining factors in hospital costs. Results from the study analysis indicated that: 1. The system of 198 DRGs for Medicare patient classification was demonstrated not only as a strong tool for determining the pattern of hospital resource utilization of Medicare patients, but also for categorizing patients by their severity of illness. 2. The wei틴fed mean total case cost (TOTC) of the study hospitals for Medicare patients during the study years was $11,27.02 with a standard deviation of $117.20. The hospital with the highest average TOTC ($1538.15) was 2.08 times more expensive than the hospital with the lowest average TOTC ($743.45). The weighted mean per diem total cost (DTOC) of the study hospitals for Medicare patients during the sutdy years was $107.98 with a standard deviation of $15.18. The hospital with the highest average DTOC ($147.23) was 1.87 times more expensive than the hospital with the lowest average DTOC ($78.49). 3. The linear models for each of the six types of hospital costs were formulated using the casemix index and the eight other hospital variables as the determinants. These models explained variance to the extent of 68.7 percent of total case cost (TOTC), 63.5 percent of room and board cost (RMC), 66.2 percent of total ancillary service cost (TANC), 66.3 percent of per diem total cost (DTOC), 56.9 percent of per diem room and board cost (DRMC), and 65.5 percent of per diem ancillary service cost (DTANC). The casemix index alone explained approximately one half of interhospital cost variation: 59.1 percent for TOTC and 44.3 percent for DTOC. Thsee results demonstrate that the casemix index is the most importand determinant of interhospital cost variation Future research and policy implications in regard to the results of this study is envisioned in the following three areas: 1. Utilization of casemix related indices in the Medicare data systems. 2. Refinement of data for hospital cost evaluation. 3. Development of a system for reimbursement and cost control in hospitals.