• Journal of Technology Innovation
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• v.5 no.1
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• pp.113-149
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• 1997

This paper, searching for the origin of the science and technology policy, is one of the research series on the original form of current S&T policy such as origin, evolution and changing patterns. Without understanding the origin, it is very difficult to understand the evolution and the current change of the policy. To answer this question, 2 kinds of conditions are set: 4 concepts for the origin of a policy and also 4 conditions for the S&T policy itself. As the origin of a policy, 4 concepts are set such as independence, continuance, diffusion and modern state as a policy body. Also as conditions for S&T policy, there may be 4 conditions such as policy targets, policy functions, administration body and the usage of the name of the policy. S&T can be distinguished as science, technology and S&T along it's development path. There, hence, are 2 origins of science and technology policy. French policy for modern science at the late 18th century and the establishment of the Agency of Science and Technology Policy of Japan in 1956 can be pointed out as the origin of the policy. The former can be called as the origin for natural science, and the latter as the origin for S&T. This study implies that new paradigm of S&T policy is a reflection for both the needs of new S&T and social needs. When there were big problems in a society and when there appeared new S&T, they exploited new S&T vigorously. This has been remained as a rememberable monuments in the history of the S&T policy.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2005.05a
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• pp.95-110
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• 2005

Science & Technology(S&T) is the most important thing to attain competitiveness in the 21st century, Our traditional S&T policies have been focused on hardware infra structure. we should consider software of S&T to enhance effectiveness. S&T should be had a correct understanding method of the creation for S&T culture. It implies that S&T policy in the 21st century should consider nonmaterial factors which include social, human, environmental and culture. Under this background, The purpose of this paper is to seek new S&T policy in the 21st century. Therefor this paper deals with how we can prepare for the future S&T policy and classify the change of S&T policy of Korea and analyze the characteristic of each phase. This paper argues that all actors (for example, S&T personnel, corporate using S&T, general public) should participate in the process of S&T innovation since the 21st century is the generation of the general public S&T. Also this paper presented the expanded S&T policy Right S&T policy could leads to diffuse right S&T culture. Diffusing S&T culture could accomplish expanded S&T policy which was considered phases of culture and welfare.

• Management Science and Financial Engineering
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• v.19 no.1
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• pp.17-23
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• 2013

It has been studied that retailer's using a suboptimal (R, T) policy is often more desirable to make the best use of information flows than the locally optimal (s, S) policy in a two-stage serial supply chain. In this paper, by performing an extensive computational study, we tabulate the benefit of the retailer's using (R, T) policy instead of (s, S) policy in a supply chain with information sharing, and compare it to a maximum possible benefit that could be achieved in a centralized supply chain. We can understand the mechanisms of how the cost parameters and demand variance affect the benefit of the retailer's using (R, T) policy instead of (s, S) policy, by comparing decentralized and centralized systems.

• Journal of Applied Reliability
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• v.17 no.1
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• pp.58-65
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• 2017

Different from general operating policies applied for various waiting line situations, two complementary dyadic operating policies are applied alternatingly to a single server maintenance service center model. That is, either of the two dyadic Min (N, T) or Max (N, T) policy is applied to operate such center first and the other operating policy should be applied later, and then the same sequence of both operating policies is followed repeatedly. This operating policy is denoted by the Minimax (N, T) policy. Purpose: Because of the newly introduced operating policy, important system characteristics of the considered service center model such as the expected busy and idle periods, the expected number of customers in the service center and so on should be derived to provide necessary information for determination of the optimal operating policy. Methods: Based on concepts of the newly introduced Minimax (N, T) policy, all necessary system characteristics should be redefined and then derived by constructing appropriate relations between complementary two dyadic operating policies. Results: Desired system characteristics are obtained successfully using simple procedures developed by utilizing peculiar structure of the Minimax (N, T) policy. Conclusion: Applying Minimax (N, T) operating policy is equivalent to applying the simple N and T operating policies alternatingly.

• Journal of Korean Institute of Industrial Engineers
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• v.26 no.2
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• pp.81-87
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• 2000

As for M/G/1 queueing system, we use various control policies, with which we can optimize the system. Up to now the most widely adopted policies are N-Policy, T-Policy, D-Policy, and so on. The existing researches are largely concerned to find an optimal operation condition or to optimize the system under single policy in M/G/1 system. There are, however, few literatures dealing with multiple control policies at once to enhance the flexibility of the model. In this study, we consider M/G/1 system adopting N-Policy and T-Policy simultaneously. If one of two conditions is satisfied, then, the server starts the service. We call this Min(N,T)-Policy. We find the probability distribution of the number of customers and mean waiting time in steady state and derive a cost function. Next, we seek the $N^*$, optimal threshold under various N values. Finally, we reveal the characteristics of cost function.

• STI Policy Review
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• v.4 no.2
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• pp.96-112
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• 2013

The need for designing and implementing integrated policy was further emphasized in tandem with the increase in interest concerning policy coordination and interactions. An active discussion is taking place in the field of innovation policy concerning "integrated innovation policy," which considers innovation along with financial, regional development, social, and environmental policies together in a holistic manner. In Korea since the beginning of the 2000s, there were many attempts at implementing integrated innovation policy through the restructuring of the overall S&T administration system. For the purposes of taking an integrated approach to S&T policies as well as to S&T-related human resources, industrial, and regional development policies, the Roh Administration (February 2003~February 2008) elevated the S&T Minister to the level of Deputy Prime Minister as well as launching the Office of Science, Technology, and Innovation (OSTI) (October 2004 ~ February 2008) under the Ministry of Science and Technology. This study investigates the policy coordination activities of the OSTI from the perspective of policy integration. It deals with the background of the OSTI, its roles and responsibilities, the coordination process, and its achievements and limitations while discussing the important implications for developing effective policy measures with the hope of contributing to the development of theories of integrated innovation policy.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.38 no.1
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• pp.21-29
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• 2015

A steady-state controllable M/G/1 queueing model operating under the {T:Min(T,N)} policy is considered where the {T:Min(T,N)} policy is defined as the next busy period will be initiated either after T time units elapsed from the end of the previous busy period if at least one customer arrives at the system during that time period, or after T time units elapsed without a customer' arrival, the time instant when Nth customer arrives at the system or T time units elapsed with at least one customer arrives at the system whichever comes first. After deriving the necessary system characteristics including the expected number of customers in the system, the expected length of busy period and so on, the total expected cost function per unit time for the system operation is constructed to determine the optimal operating policy. To do so, the cost elements associated with such system characteristics including the customers' waiting cost in the system and the server's removal and activating cost are defined. Then, procedures to determine the optimal values of the decision variables included in the operating policy are provided based on minimizing the total expected cost function per unit time to operate the queueing system under considerations.

• Asian Journal of Innovation and Policy
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• v.7 no.2
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• pp.382-410
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• 2018

We have identified the paradigm, the knowledge structure, and the roles of S&T policy studies in Korea by empirical analysis and focus group interviews. First, it provisionally concluded that S&T policy studies in Korea are still in the pre-paradigm stage. Specifically, the level of consensus among scholars about the "academic definition of discipline" and "research scope", which is essential for an independent discipline, is still low. Next, a great part of the existing S&T policy studies in Korea is excessively weighted in specific research scopes and researcher groups. For a balanced development as an academic discipline, such imbalance must be overcome. Third, the studies in Korea showed that much of the research in the earlier stage was fragmented at the micro-level. More recently, however, S&T policy studies show co-evolutionary patterns, which increase the responsiveness of the society. Based on this analysis, the future direction of studies should form a unique flow of our own, building Korean policy cases and models rather than following those developed countries.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2006.11b
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• pp.483-494
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• 2006

The purpose of this study is to suggest the framework for innovation policy that the approach to popularization, diffusion, and S&T culture through the science and technology(S&T) fair. The innovation policy has a role which suggests direction to do behavior and concerns to social members. According to, this point of the diffusion of the S&T culture emerges the reasonable and adoptable innovation policy. Korean S&T fair have many problems, for example, a short historical background, lack of the fund and special human resource, so on. In this aspect, this study provides theoretical reviews and several issues for publicity of the innovation policy and S&T popularization and culture through the representative case-Future Tech Korea2006. Also, this study argues that "How to build and improve S&T fair", and "What the figure of S&T is that communicate and approach to people". Finally, the research for the S&T fair gives detailed and realized strategies for improving them.

• STI Policy Review
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• v.2 no.1
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• pp.1-12
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• 2011

Korea is examining how to coordinate its S&T policies and solidify its position as a leader of infrastructure innovation policy that forms the foundation for many different policies. A number of questions have been raised, such as whether to install a superior coordinating body like the National Science and Technology Council (NSTC) or separate the budget allocation and coordination authority from the budget-planning ministry. Korea has tried using various institutional coordination devices and functions such as reorganizing its administrative ministries based on related functions and installing or reinforcing a superior coordinating body. In line with these discussions, the strengthening of the S&T policy coordination function through the NSTC is currently under review. In order to design an effective S&T coordination system in step with changing political and social demands, it is important to have a clear recognition of the current context as well as the unique institutional characteristics of Korea. This study examines the evolution of Korea's S&T policy coordination systems and analyzes its features.