• International Journal of Quality Innovation
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• v.4 no.1
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• pp.131-147
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• 2003

This paper considers that a public department under specialized TQM manpower constraints have to implement multiple total quality management (TQM) policies to promote its service performance (fundamental goal) by adopting a centralized sequential advancement strategy (CSAS). Under CSAS, the decision-makers (DMs) start off by focusing specialized TQM manpower on a single policy, then transfer the specialized TQM manpower to the next policy when the first policy reaches the predetermined implementation time limit (in terms of education and training). Suppose that each TQM policy has a different desirous education and training goal. When the desirous goals for all TQM policies are achieved, we say that the fundamental goal will be satisfied. Within the limitation of total implementation period of time for all policies, assume the desirous goals for all TQM policies cannot be achieved completely. Under this premise, the optimal implementation sequence for all TQM policies must be calculated to maximize the weighted achievement of the desirous goal. We call this optimization problem a TQM case of "centralized sequential decision-making problem (CSDMP)". The achievement of the desirous goal for each TQM policy is usually affected by the experience in prior implemented policies, which makes solving CSDMP quite difficult. As a result, this paper introduces the concepts of sequential effectiveness and path effectiveness. The structural properties are then studied to propose theoretical methods for solving CSDMP. Finally, a numerical example is proposed to demonstrate CSDMP′s usability.

• International Area Studies Review
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• v.15 no.3
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• pp.127-143
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• 2011

The purpose of this paper is to examine whether strategic decision-making processes are related to decision effectiveness, using a longitudinal field study design. We studied 120 decisions to determine if procedural rationality and political behavior influence decision success, controlling for the goodwill of the environment and decision implementation. Our results indicate that decision-making processes are indeed related to decision success. Results are discussed in terms of the importance of strategic choice in environmental organizations. these studies often provided simple fragments of empirical tests without a well developed theoretical framework. This study attempts to fill this gap by examining policy adoption, specifically by investigating influences on policy decision making across 120 nations using multiple-regression analysis. The greater the number of international NGOs in which a national governmental participates, the more the nation is apt to adopt international environmental policies to see how real affect.

• Journal of Korean Institute of Industrial Engineers
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• v.43 no.1
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• pp.1-11
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• 2017

Stochastic resource-constrained project scheduling problem is an extension of resource-constrained project scheduling problem such that activity duration has stochastic nature. In real situation where activity duration is not known until the activity is finished, open-loop based static policies such as activity-based policy and priority-based policy will not well cope with duration variability. Then, a dynamic policy based on closed-loop decision making will be regarded as an alternative toward achievement of minimal makespan. In this study, a dynamic policy designed to select activities to start at each decision time point is illustrated. The performance of static and dynamic policies based on variable neighborhood search is evaluated under the discrete-event simulation environment. Experiments with J120 sets in PSPLIB and several probability distributions of activity duration show that the dynamic policy is superior to static policies. Even when the variability is high, the dynamic policy provides stable and good solutions.

• ETRI Journal
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• v.36 no.4
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• pp.572-580
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• 2014

Mobile operators in saturated markets increasingly favor mobile network sharing (MNS) over facility-based competition. Previous research examining MNS primarily focused on its positive effects, while the negative effects were largely overlooked. This study proposes a decision-making model using an analytic hierarchy process technique to evaluate decision-making criteria among various types of MNS policies. The decision-making model was applied to Wireless Broadband services in Korea to determine the relative importance of both positive and negative evaluation criteria and preference among multiple types of MNS policies. Positive evaluation criteria (that is, efficiency) were far greater in importance than negative evaluation criteria (that is, competition harm). The preference for adopting MNS among five alternative approaches was also revealed. The study findings offer immediate policy insights in Korea and provide a decision-making framework for policy makers in other countries to utilize.

• Health Policy and Management
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• v.23 no.2
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• pp.188-195
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• 2013

Background: The separation of pharmaceutical prescription and dispensing law was implemented in July 1st of 2000. This law was initiated by government without a through consensus among related stakeholders in the process of policy decision, eventually raising contention about decision making process rather than the performance of the policy. Methods: Therefore, this study tries to identify the accomplishment of the policy goals; based on the last decade's research we assessed inhibition of unnecessary prescription, drug misuse and overuse prevention, prevention of drug-related sentinel events, reducing unnecessary drug utilization, and reducing nation's medical cost. Results: Assessment results represent that government-suggested goal of the policy lacks sufficient evidence to evaluate accomplishment. Conclusion: Unlike other studies that evaluate problems regarding drug dispensing policy in the policy decision process, this study is meaningful in that it evaluated the policy goal based on the last ten years of related study results.

• YAKHAK HOEJI
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• v.54 no.4
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• pp.309-315
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• 2010

The Positive List System was newly introduced in South Korea as of January 2007. This study aims to survey and compare perception of and attitudes toward the Positive List System in the process of new drug listing that health professionals and pharmaceutical companies have. 50 professionals and 52 companies answered the questionnaire regarding health policy environments, policy decision/enforcement process, policy effects and satisfaction related to introducing the Positive List System. SAS 9.1 was used for statistical analyses. The results showed that participants had the general sympathy with health policy environments for the introduction of the Positive List System into South Korea. However, the response rates of policy decision/enforcement process and effects were negative and these tendencies were more striking in pharmaceutical companies. As for policy satisfaction, participants marked positive responses more than negative ones. It is necessary to remedy and supplement problems with policy decision/enforcement policy and effects revealed in this study and to improve the Positive List System through gathering opinions among groups and organization concerned.

• The Journal of the Korea Contents Association
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• v.13 no.6
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• pp.202-211
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• 2013

The research is based on the theory of cognitive psychology that a decision maker creates an internal belief through environment information process and that personal behavior is determined as a means of belief practice. This study implemented a language network analysis to understand the 16th President Noh Moo-hyun"s real estate policy belief who was a key decision maker of Korea. The results of this study are as follows. First, the chief variables of real estate policy recognized by president Rho Mu Hyun included civil economy and real estate speculation and so on. Second, the chief variables of real estate policy recognized by president Rho Mu Hyun did indicate weak correlation with other diverse economic variables. Third, the analysis shows that in practicing the real estate policy, excessive civil economy related with the real estate policy and the obsession with civil life variables worked as reason to pursue social contest rather than social agreement. It is thought that this study result will contribute to policy theory in explaining the policy decision-making process from the perspective of cognitive psychology.

• Journal of the Korea Safety Management & Science
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• v.11 no.1
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• pp.213-222
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• 2009

Two functions are considerable in the record management of policy management system operation. The first one is to prove that shows the conforming status of the management system requirements. The second one is to prove that shows the performing status whether the policy management system is operating effectively to the company. However, the second function requires the high level data analysis techniques, and it is more important for the decision making of the company operations. That is, the second function is more closer than the first function to the top manager's policy management tool. This paper is prepared to offer a study on the desirable record management which is necessary to the scientific decision making process. The scientific decision making requires the analysis of data derived from the reliable records. It is also aimed to enlighten the relations between the reliability of records and the adoption of the results of analysis in associated with the top manager's decision making.

• Informatization Policy
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• v.27 no.4
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• pp.47-66
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• 2020

The rapid development of artificial intelligence technologies such as machine learning and deep learning is expanding its impact in the public administrative and public policy sphere. This paper is an exploratory study on policy decision-making in the age of artificial intelligence to design automated configuration and operation through data analysis and algorithm development. The theoretical framework was composed of the types of policy problems according to the degree of problem structuring, and the success and failure cases were classified and analyzed to derive implications. In other words, when the problem structuring is more difficult than others, the greater the possibility of failure or side effects of decision-making using artificial intelligence. Also, concerns about the neutrality of the algorithm were presented. As a policy suggestion, a subcommittee was proposed in which experts in technical and social aspects play a professional role in establishing the AI promotion system in Korea. Although the subcommittee works independently, it suggests that it is necessary to establish governance in which the results of activities can be synthesized and integrated.

• Health Policy and Management
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• v.18 no.2
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• pp.107-129
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• 2008

The purpose of this paper is to critically examine Korean government's efforts in policy making and implementation regarding the Korea National Health Insurance System in the past and suggest a new paradigm for future policy changes. The structural and political characteristics of the Korea National Health Insurance, where health care services are provided almost exclusively by the private providers and funding for health comes equally from public and private sources, imply persistent difficulties in the operation of the system This may partially explain why the Korean system has continually experienced conflicts among stakeholders whenever there was an attempt to change policy. In this paper, we discuss four cases to illustrate such difficulties and barriers. We propose that in order to address these challenges and reduce policy errors as well as unintended results, it is necessary to restructure policy making process from being oriented toward 'quantitative expansion' to 'qualitative maturity', from a 'linear thinking' to a 'system thinking', from taking a 'top-down' to a 'governance and participatory' decision making process.