• Journal of Digital Convergence
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• v.22 no.2
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• pp.1-9
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• 2024

The purpose of this study is to verify whether companies residing in industry-academic convergence zones designated by the government are achieving policy goals and to seek policy implications and directions for improvement through analysis. For the study, business activities targeting resident companies were divided into infrastructure, business content, management, and system aspects, and business performance indicators, resident company satisfaction surveys, and differences in sales increase between resident companies and non-resident companies were analyzed through t-test. Based on statistical analysis results, performance indicators, and corporate survey analysis results, we track joint industry-academia R&D projects to maximize the effectiveness for companies, develop and operate human resources management for teams, and provide financial support for ordinances of metropolitan local governments. Improvements such as stipulation, antenna facilities at the corporate research center, and improvement of the researcher's residential environment were suggested. This study is the first to quantitatively verify policy performance targeting companies residing in industry-academic convergence zones, a large-scale government project, and future follow-up research is needed, including analysis of policy effects based on various variables such as employment indicators and corporate financial indicators.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.563-572
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• 2021

This study aims to investigate the implementation of village fund (VF) policy in Indonesia by addressing the following issues: (1) what is the VF policy; (2) factors that support and hinder policy implementation; (3) impact of policy implementation; and (4) model for implementing village fund policies that can improve community welfare. Through a descriptive qualitative-based approach, several indicators are measured, namely, the substance of implementing rules, the results of project implementation, supporting and inhibiting factors for policies, participation factors, and the impact generated by village fund policies, which include social and economic effects. The extraction of this information and indicators will lead this study to produce ideal models and propositions for quantitative confirmatory research as a future research agenda. This study was conducted in two villages (Mojomulyo and Tambakromo) in Pati District, Central Java, Indonesia. Data collection model using interviews and observations from all actors who play a role (e.g., village government, village supervisory agency, and community). The study results show that policies have been implemented by normative rules; there are several supporting and inhibiting factors both internal and external. The study results also confirm the relevance of the articulated theory and some comprehensive input to our study.

• The Journal of the Korea Contents Association
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• v.20 no.9
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• pp.355-364
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• 2020

The performance plan of the budget was introduced to link the budget with the performance and to implement performance-oriented policies. This study reviewed the adequacy of indicators of the 2020 agricultural sector budget performance plan to find out how performance indicators were planned and achieved. As a result, there were problems such as low linkage between policy projects and targets, weighting of performance indicators and unclear grounds for targets, and underwhelming performance indicators. To improve these problems, challenging performance indicators and the establishment of practical performance indicators through incentives is necessary.

• The Journal of Korean Society for School & Community Health Education
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• v.15 no.3
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• pp.1-15
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• 2014

Objectives: This study was performed to develop the indicators for national surveillance of chronic disease, which is a governmental concern to manage the chronic disease for older persons. It is necessary that chronic disease surveillance system needs to be made in Korea for effective management of chronic diseases. With the system, we know the prevalence and incidence of chronic diseases, observe the trend of utilization for caring the chronic diseases, and analyze the behavior change for prevention of chronic diseases. Methods: This study was carried out by analyzing the data by which the indicators was produced, by reviewing how the United States made the indicators. By benchmarking the United States, the sources of data of the national surveillance indicators for chronic diseases in Korea were compared. Results: In this study, the most significant indicators were identified and proposed to improve the surveillance indicators by changing the sources of data. These findings warrant further development of the health policy for the chronic disease prevention and establishment of the chronic disease surveillance system. Conclusions: The results of this study can be used to develop national surveillance indicators to manage the chronic diseases and can be used as basic data to develop community health programs.

• Journal of Korean Society for Quality Management
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• v.51 no.3
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• pp.363-379
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• 2023

Purpose: The main objective of this research is to construct an AI-based Composite Supplementary Index (ACSI) model to achieve accurate predictions of the Composite Index of Business Indicators. By incorporating various economic indicators as independent variables, the ACSI model enables the prediction and analysis of both the leading index (CLI) and coincident index (CCI). Methods: This study proposes an AI-based Composite Supplementary Index (ACSI) model that leverages diverse economic indicators as independent variables to forecast leading and coincident economic indicators. To evaluate the model's performance, advanced machine learning techniques including MLP, RNN, LSTM, and GRU were employed. Furthermore, the study explores the potential of employing deep learning models to train the weights associated with the independent variables that constitute the composite supplementary index. Results: The experimental results demonstrate the superior accuracy of the proposed composite supple- mentary index model in predicting leading and coincident economic indicators. Consequently, this model proves to be highly effective in forecasting economic cycles. Conclusion: In conclusion, the developed AI-based Composite Supplementary Index (ACSI) model successfully predicts the Composite Index of Business Indicators. Apart from its utility in management, economics, and investment domains, this model serves as a valuable indicator supporting policy-making and decision-making processes related to the economy.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.04a
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• pp.330-336
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• 2000

This paper discusses the potential of system dynamics modelling to support balanced scorecard. The balanced scorecard is a conceptual framework for translating an organisation's strategy into a set of performance indicators. These performance indicators are distributed across the 'classic'model's four perspective: Customers, Internal Business Processes, Financial, and Learning and Growth. This balanced scorecard, whilst having significant strength, suffers from the limitation of all performance indicator systems, namely that the interrelationships between indicators are overlooked and there is no way of taking into account the impact of delayed feedback which flows from introduction of new policy and legislative changes. System Dynamics is a methodology for understanding complex problems where there is dynamic behaviour and where feedback impacts significantly on system outcomes. System dynamics provides a rigorous basis for qualitative testing of the effects of performance indicators in complex environments such as health or social security. This can be supplemented with quantitative system dynamics simulation tools that further test the validity of indicators and the business rules implicit in them. System dynamics modelling has an important role to play in extending feedback cycle in performance measurements to a full systems approach.

• Journal of Korea Technology Innovation Society
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• v.9 no.4
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• pp.796-811
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• 2006

This paper aims to develop methodology and indicators to review effective competition in Korean mobile telecommunication market. After examining strengths and weaknesses of other countries' experiences, we proposed several indicators for the assessment of competition. Developed from criteria such as transparency, regulation cost, policy objectives, proposed indicators comprise market structure, behaviour of sellers and consumers, and consumer benefits. These indicators are applied to the Korean mobile market. During the period 2001-2004, 'the competition assessment index' increased steadily, meaning the state of competition was aggravated during this period.

• Journal of Korean Library and Information Science Society
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• v.42 no.4
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• pp.375-393
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• 2011

As small libraries are now considered as public libraries, it is time to discuss a policy decision for institutional complement, supporting policy frame, and activating management of small libraries. There is a need to improve statistical indicators of small libraries, as an effort to improve library statistics as a whole. Small libraries in National Library Statistics have been using an altered version of 2008 library statistiscal frame, which was solely designed for public libraries. However, due to the inadequacy of indicators, results show 91.3% of missing values and high rates of errors in collected data. This research select the key statistical indicators for small libraries by analyzing 4 researches of present states and 7 researches of measuring indicators. The research, therefore, proposed an improved version of statistical indicators, by advising of the professional groups in the small library statistics and estimation and investigating of 108 small libraries in GyeongGi-Do Area. There are 7 categories and 37 items in the proposed statistics.

• Health Policy and Management
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• v.27 no.2
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• pp.121-127
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• 2017

The effort to measure and improve the quality of healthcare is a common health policy issue worldwide. Korean Value Incentive Programme is one of that effort, but some concerns exist. Compared to pay for performance program in other countries, it measures healthcare quality with relatively narrow performance domain using a small number of clinical indicators. It was designed without involving hospitals and other key stakeholder, and program participation was mandated. Highest and lowest performers get bonus and penalty using relative ranking. As a suggestion for development, the direction for quality management at the national level should be given first. Therefore the philosophy or strategy for quality improvement should be reflected to the program. And various domains and indicators of healthcare quality should be developed with active communication with healthcare providers. The evaluation method is necessary to be changed to provide achievable goal to the healthcare providers and attract quality improvement.

• Journal of Korean Society of Rural Planning
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• v.11 no.3 s.28
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• pp.1-9
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• 2005

Recently, it is demanded to study about agri-environmental indicators including rural landscape indicators. However, there are deficiency to establish the policy of int landscape. This is the base study for the policy decision or management for conservation of agricultural landscape or rural landscape. The objectives of this study were 1) to analyze the supporting elements in the foreign policies, 2) to analyze the agricultural landscape elements and visual values in the field and 3) to make the classification form about the agricultural landscape. And finally, this study suggests the management guides for the conservation of agricultural landscape according to the teleological measures. Through this results, it would be expected to develop the efficient policy of rural landscape such as the direct payment program for rural landscape conservation.