• Title/Summary/Keyword: policy measure

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Development of Evaluation System for Defense Informatization Level

  • Sim, Seungbae;Lee, Sangho
    • Journal of Multimedia Information System
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    • v.6 no.4
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    • pp.271-282
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    • 2019
  • There is a description that you cannot manage what you do not measure. The Korea Ministry of National Defense (MND) is conducting evaluations in various fields to obtain meaningful effects from IT investments, and views that the evaluation of the defense informatization sector is divided into defense informatization policy evaluation and defense informatization project evaluation. The defense informatization level evaluation can measure the informatization level of MND and the armed forces or organizations. Since the evaluation system being studied to measure the level of defense informatization is composed mainly of qualitative metrics, it is necessary to reconstruct it based on quantitative metrics that can guarantee objectivity. In addition, for managing the level of change by evaluation objects, the evaluation system should be designed with a focus on homeostasis of metrics so that it can be measured periodically. Moreover, metrics need to be promoted in terms of performance against targets. To this end, this study proposes to measure the level of defense informatization by dividing it into defense information network, computer systems, interoperability and standardization, information security, information environment, and information system use, and suggests their metrics.

The software quality measurement based on software reliability model (소프트웨어 신뢰성 모델링 기반 소프트웨어 품질 측정)

  • Jung, Hye-Jung
    • Journal of the Korea Convergence Society
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    • v.10 no.4
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    • pp.45-50
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    • 2019
  • This study proposes a method to measure software reliability according to software reliability measurement model to measure software reliability. The model presented in this study uses the distribution of Non - Homogeneous Poisson Process and presents a measure of the software reliability of the presented model. As a method to select a suitable software reliability growth model according to the presented model, we have studied a method of proposing an appropriate software reliability function by calculating the mean square error according to the estimated value of the reliability function according to the software failure data. In this study, we propose a reliability function to measure the software quality and suggest a method to select the software reliability function from the viewpoint of minimizing the error of the estimation value by applying the failure data.

Comparative Patterns of Political Institutions and Social Policy Developments (정치제도가 사회정책의 발전에 미치는 효과에 관한 비교 연구)

  • Hong, Kyung-Zoon
    • Korean Journal of Social Welfare
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    • v.62 no.3
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    • pp.141-162
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    • 2010
  • This paper tries to provide empirical support for a formal model of social policy development which has been presented in a former paper of this study. In the direct democracy, median voter's social policy preference is critical because he is Condorcet winner in a pair-wise pure majority voting. But, in the more general setting, we should think of various political institutions as a collective choice device. For this reason, I draw a formal model which formulates three contrasting types of political institutions which are distinguished by the developments of political democracy and the differences of electoral rules. Comparative patterns of key variables which measure political institutions, social policy developments, and social policy preference provide support for my arguments. My empirical results suggest that three political institutions are associated with very different policy outcomes. Compared to other institutions, committee system entails more targeted subsidy, less universal benefit. On the contrary, proportional elections produce more universal benefit, less targeted subsidy.

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The Effect of Privacy Policy Awareness on the Willingness to Provide Personal Information in Electronic Commerce (전자상거래의 프라이버시 정책 인식이 개인정보제공의도에 미치는 영향)

  • Jongki Kim;Dawoon Oh
    • Information Systems Review
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    • v.18 no.3
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    • pp.185-207
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    • 2016
  • This study investigated the relationship between privacy policy awareness and willingness to provide personal information. Online privacy policies published on the Internet aim to build the trust of consumers and reduce their concerns about the provision of providing personal information. This study uses FIP(FIP; Fair Information Practices) principles to measure awareness of privacy policy. The result of the survey indicates significant relationships among awareness of privacy policy of e-commerce websites, privacy trust, and privacy risk. Privacy policy aims to improve transparency of collection and use of personal information. A high level of privacy trust is related to a high level of willingness to provide personal information on an e-commerce website. A low level of privacy risk is related to a high level of willingness to provide personal information on an e-commerce website. This study found that disposition to trust moderates the relationship between privacy policy awareness and privacy trust. This study contributes to further research on the relationships among privacy policy awareness, privacy trust, and privacy risk. The result of this study can be used by companies that aim to build privacy trust and reduce privacy risk.

Severity Measurement Methods and Comparing Hospital Death Rates for Coronary Artery Bypass Graft Surgery (관상동맥우회술의 중증도 측정과 병원 사망률 비교에 관한 연구)

  • Ahn, Hyung-Sik;Shin, Young-Soo;Kwon, Young-Dae
    • Journal of Preventive Medicine and Public Health
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    • v.34 no.3
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    • pp.244-252
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    • 2001
  • Objective : Health insurers and policy makers are increasingly examining the hospital mortality rate as an indicator of hospital quality and performance. To be meaningful, a risk-adjustment of the death rates must be implemented. This study reviewed 5 severity measurement methods and applied them to the same data set to determine whether judgments regarding the severity-adjusted hospital mortality rates were sensitive to the specific severity measure. Methods : The medical records of 584 patients who underwent coronary artery bypass graft surgery in 6 general hospitals during 1996 and 1997 were reviewed by trained nurses. The MedisGroups, Disease Staging, Computerized Severity Index, APACHE III and KDRG were used to quantify severity of the patients. The predictive probability of death was calculated for each patient in the sample from a multivariate logistic regression model including the severity score, age and sex to evaluate the hospitals' performance, the ratio of the observed number of deaths to the expected number for each hospital was calculated. Results : The overall in-hospital mortality rate was 7.0%, ranging from 2.7% to 15.7% depending on the particular hospital. After the severity adjustment, the mortality rates for each hospital showed little difference according to the severity measure. The 5 severity measurement methods varied in their statistical performance. All had a higher c statistic and $R^2$ than the model containing only age and sex. There was a little difference in the relative hospital performance evaluation by the severity measure. Conclusion : These results suggest that judgments regarding a hospital's performance based on severity adjusted mortality can be sensitive to the severity measurement method. Although the 5 severity measures regarding hospital performance concurred, more often than would be expected by chance, the assessment of an individual hospital mortality rates varied by the different severity measurement method used.

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Requirements for Reusable Infection Prevention and Control Measures for COVID-19 Response (코로나19 감염병 대응모델의 국제표준화 요건)

  • Ahn, Sun-Ju
    • Health Policy and Management
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    • v.31 no.3
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    • pp.244-254
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    • 2021
  • The management of emerging infectious diseases cannot help but completely depend on non-pharmaceutical interventions in the early stages of the outbreak. Consequently, South Korea has developed and implemented the 3T (test-trace-treat) models, non-pharmaceutical infection prevention and control (IPC) measures, in response to the coronavirus disease 2019 (COVID-19) pandemic. The IPC measures have gained global attention, rendering them to be essential in the development of a shareable, reusable, and applicable protocol for future pandemics. This study was conducted to identify the requirements necessary for standardizing the IPC measures. Three new work items of the 18 3T models were proposed to ISO/TC 304 (International Organization for Standardization/Technical Committee 304; healthcare organization management). Requirements for each IPC measure, identified by participating members (P-members) countries during the ISO ballots, were analyzed in this study. The three new work items were approved by the P-members countries after a 3-month ballot. There was a consensus that the three IPC measure models should be International Standards (IS). Other comments include (1) the models should include not only COVID-19 but also any respiratory pandemic; and (2) keep donning of level D protection at screening sites as an optional protocol, in consideration for the lack of personal protective equipment. Standardization is a systematic process of developing internationally agreed-upon wisdom and knowledge that consider and respect the diversity and universality of each country. It is expected that such standardized applicable IPC measure models contribute to global efforts to rapidly respond to a public health emergency of international concern during its early stages.

Measuring Korea's Industry-level Productivity Change Due to Tariff Cuts using a CGE Model

  • Roh, Jaewhak;Roh, Jaeyoun
    • Journal of Korea Trade
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    • v.25 no.3
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    • pp.48-64
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    • 2021
  • Purpose - This study examined the effect of tariff cuts on productivity in Korea's manufacturing industries and the effect of initial productivity level before tariff cuts on productivity improvement after tariff cuts. We also attempted to identify whether import-driven or export-driven factors are more important for productivity improvement, especially in low productivity industries. Design/methodology - Since tariff reduction is a policy decision that can affect cross-industry, its impact is spread across all industries beyond the scope of a single firm through the input and output network of industry structure. Accordingly, we proposed a new method to measure the change in productivity to reflect the impact of tariff cuts across industries. Through an Armington CGE analysis, changes in endogenous variables can be directly measured after the exogenous shock of tariff reduction, and the amount of movements in productivity triggered by tariff cuts can also be calculated. We can thus assess the effectiveness of exogenous policy, such as tariff cuts, through the difference between the benchmark and counterfactual values of endogenous variables. Findings - This study confirmed that tariff reduction positively affected productivity improvement in Korea's manufacturing industries. It also confirmed that productivity gains occur in Korea's leading export industries. Finally, greater productivity gains were recorded in the group with additional high-export-share or high-import-share conditions for low productivity industries. These results are, in a limited sense, consistent with the existing studies that emphasize the importance of exports and imports on productivity improvement, especially for low productivity industries. Originality/value - The results of our experiments are different from those of non-CGE studies, which measure the industry-level change in productivity with dummy coefficients, in terms of directly calculating the amount of change in productivity. In addition, we propose that the Armington CGE model is more appropriate than the Melitz CGE model to directly measure the productivity after tariff cuts. This is because the Melitz CGE model assumes the given specific productivity density, which does not change after an overall drop of tariffs. To the best of our knowledge, this approach to directly calculating productivity by reflecting the impact of tariff reduction across industries through CGE analysis, is unprecedented in this literature.

An Analysis of Drawing Government Supporting Policies for Mutual Growth of Shippers and Ship owners using CFPR method (CFPR을 이용한 선사 및 화주 상생을 위한 정책지원방안 도출에 관한 연구)

  • Nam, Tae-Hyun;Yeo, Gi-Tae
    • Journal of Digital Convergence
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    • v.17 no.4
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    • pp.95-105
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    • 2019
  • The failure of company management that does not overcome the recession of shipping economy has negative impact on front-end and back-end industries in relation to shipping industry overall. This study aims to derive a measure of government policy support for win-win of ship owners and shippers by performing a survey with experts in ship owners, shippers, and port-related institutions. This study employed a consistent fuzzy preference relation (CFPR) method to provide the priority of government policies. The study results showed that out of all 14 policies, the policy perceived most important was "expansion of participation in share of shipping company or ships of shipper (0.102)" followed by "strengthening of national shipper-centered service quality (0.101)", and "providing a long-term transportation contract model of container cargo (0.085)". To recover the Korean shipping industry via win-win of ship owners and shipper, the policy enforcement is important through correct government policy establishment and priority selection. In this regard, this study contributed to proposing policies and priority of the policies. For the future study, detailed analysis on comparison of perception difference among stakeholders in the shipping industry is needed.

A Study on Regional Differences in Healthcare in Korea: Using Position Value for Relative Comparison Index (한국 지역 간 보건의료수준의 상대적 위치 비교 연구: Position Value for Relative Comparison Index를 활용하여)

  • Youn, Hin-Moi;Yun, Choa;Kang, Soo Hyun;Kwon, Junhyun;Lee, Hyeon Ji;Park, Eun-Cheol;Jang, Sung-In
    • Health Policy and Management
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    • v.31 no.4
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    • pp.491-507
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    • 2021
  • Background: This study aims to measure regional healthcare differences in Korea, and define relatively underserved areas. Methods: We employed position value for relative comparison index (PARC) to measure the healthcare status of 250 areas using 137 indicators in five following domains: healthcare demand, supply, accessibility, service utilization, and outcome. We performed a sensitivity analysis using t-SNE (t-distributed stochastic neighboring embedding). Results: Based on PARC values, 83 areas were defined as relatively underserved areas, 49 of which were categorized as moderate and 34 as severe. The provincial regions with the most underserved areas were Gyeongbuk (16 areas), Gangwon (13), Jeonnam (13), and Gyeongnam (12). Conclusion: This study suggests a relative comparison approach to define relatively underserved areas in healthcare. Further studies incorporating various perspectives and methods are required for policy implications.

Workload Analysis of Discrete-Time BMAP/G/1 queue under D-policy (D-정책과 집단도착을 갖는 이산시간 MAP/G/1 대기행렬시스템의 일량 분석)

  • Lee, Se Won
    • Journal of Korea Society of Industrial Information Systems
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    • v.21 no.6
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    • pp.1-12
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    • 2016
  • In this paper, we consider a general discrete-time queueing system with D-BMAP(discrete-time batch Markovian arrival process) and D-policy. An idle single server becomes busy when the total service times of waiting customer group exceeds the predetermined workload threshold D. Once the server starts busy period, the server provides service until there is no customer in the system. The steady-state workload distribution is derived in the form of generating function. Mean workload is derived as a performance measure. Simulation is also performed for the purpose of verification and a simple numerical example is shown.