• Health Policy and Management
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• v.3 no.1
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• pp.102-123
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• 1993

This study investigates effcts of HMO internal structural arrangements on performance, specially cost reduction measured by hospitalization rate. This study formulates formalization, centralization measured by decision-making participation, differentiation, and coordination as structural factors, considering coordination as an intermediate factor between the rest of structural factors and hospitalization rate. The commonly used HMO types is assumed not effective in explaining performance differences. For the empirical test, I use bootstrap regression analyses with 48 HMOs. The results of the analyses show that HMO types fail to explain differences in hospitalization rate. However, dicision-making participation and differention effectively reduce hospiatalization rate, while frmalization increases hospitalization rate and coordination has nonessential effect on hospitalization rate. And, formalization and decision-making participation positively contribute to achieve coordination in HMO. These findings suggest that the theoretical framework derived from rational-citingency theory of formal organization better explains performance differences of HMOs than HMO types.

• Journal of the Korean Society for information Management
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• v.28 no.3
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• pp.239-256
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• 2011

Main drivers of knowledge activities such as knowledge sharing and utilization are individual members of an organization and thus knowledge management strategies should be discussed in relationships with human resource management. This study analyzes the effects on knowledge sharing and knowledge utilization of human resource management practices such as training, participation in decision-making, performance appraisal and compensation system in local government. The results show that training and performance appraisal and compensation system are significantly influential factors for the knowledge sharing and knowledge utilization. Lessons and implications of this study for management leadership are presented.

• Journal of the Korea Safety Management & Science
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• v.11 no.4
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• pp.269-277
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• 2009

we can easily find numerous cases, where the outcomes are not up to their expectations, despite the enormous efforts and investments poured on developing ERP systems. Consequently, we are in need of a new methodology for efficient implementation and Maintenance of an ERP system. Therefore, we have investigated and analyzed various problems that may occur in adopting ERP systems, such as high implementation costs, shortage of professional manpower, and lack of active participation from insiders. In this thesis, we developed a new ERP system, focusing on accounting management modules and benchmarked our proposed model to one of the real companies.

• Journal of Radiation Protection and Research
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• v.33 no.1
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• pp.27-34
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• 2008

A Korean urban contamination model METRO-K (${\underline{M}}odel$ for ${\underline{E}}stimates$ the ${\underline{T}}ransient$ Behavior of ${\underline{R}}adi{\underline{O}}active$ Materials in the ${\underline{K}}orean$ Urban Environment, which is capable of calculating the exposure doses resulting from radioactive contamination in an urban environment, is taking part in a model testing program EMRAS (${\underline{E}}nvironmental$ ${\underline{M}}odelling$ for ${\underline{RA}}diation$ ${\underline{S}}afety$) oragnized by the IAEA (${\underline{I}}nternational$ ${\underline{A}}tomic$ ${\underline{E}}nergy$ ${\underline{A}}gency$). For radioactive contamination scenarios of Pripyat districts and a hypothetical RDD (${\underline{R}}adiological$ ${\underline{D}}ispersal$ ${\underline{D}}evice$), the predicted results using METRO-K were submitted to the EMRAS's Urban Contamination Working Group. In this paper, the predicted results for the contamination scenarios of a Pripyat district were shown in case of both without remediation measures and with ones. Comparing with the predictied results of the models that have taken part in EMRAS program, a feasibility for decision-making support of METRO-K was investigated. As a predicted result of METRO-K, to take immediately remediation measures following a radioactive contamination, if possible, might be one of the best ways to reduce exposure dose. It was found that the discrepancies of predicted results among the models are resulted from 1) modeling approaches and applied parameter values, 2) exposure pathways which are considered in models, 3) assumptions of assessor such as contamination surfaces which might affect to an exposure receptor and their sizes, 4) parameter values which are related with remediation measures applied through literature survey. It was indentified that a Korean urban contamination model METRO-K is a useful tool for dicision-making support through the participation of EMRAS program.