• Journal of the military operations research society of Korea
• /
• v.36 no.1
• /
• pp.103-121
• /
• 2010

As a cutting edge technology intensive value-added business, the defense industry is jumping into a new engine of a national growth. Also, the defense industry export is recognized not only as the field to activate the Korean economy but also as an important field to create the national brand value. However, though the consensus on the importance of defense industry export helps achieve the remarkable performance in reality, the rate of increase in the budget for national defence is slowing down gradually, and the investment in R&D is not so big, and there are a lot of drawbacks with the management of core technology and the development of cutting edge weapon system. Accordingly, this thesis tried to find the leverage to make the structure of defense industry export work normally after analyzing the systematical structure of defense industry export to understand its characteristics. Also, through the process to make the leverage a strategy, the thesis tried to present the optimal direction of policy to join the ranks of the advanced countries in defense industry export.

• Korean System Dynamics Review
• /
• v.10 no.1
• /
• pp.77-95
• /
• 2009

The ever-increasing government budget constraints have led to a continued decline in the increase rate for defense spending, and the government's 5-year National Fiscal Management Plan has served to reinforce the verification and validation procedures for the Force Improvement Programs (FIP) budget requirements and performance. Additionally, as large programs are controlled in accordance with the Total Program Cost Management Guidelines, timely and credible feasibility study and performance measurement need to be conducted. Due to these internal and external circumstances, needs have surged for feasibility and economic effectiveness study for big ticket projects in the FIP sector, with an increasing number of studies conducted by external research institutes. However, questions have been raised regarding the credibility and thoroughness of the program analyses performed by these research institutes due to various restrictions. This paper analyzes and identifies the structural limitations and problems using a systems thinking approach, and examines the systemic characteristics of the program analysis system. It also presents policy intervention recommendations based on the theory of systems thinking, a method to regularize and reinforce the program analysis system. Policy interventions recommended to ensure alignment of the external studies to the clear analysis objectives and resolve the bottlenecks in the external analysis include training those in charge of external study commissioning for a short term intervention, and increasing the number of research institutes and consulting agencies utilizing analysis and evaluation experts who transition to the private sector from the military for a long term intervention. additionally presented are strategies and policy alternatives to best utilize these policy interventions. They will contribute to the stable funding of Force Improvement Programs and efficient utilization of defense budget.

• Korean System Dynamics Review
• /
• v.1 no.2
• /
• pp.149-174
• /
• 2000

In recent years, how to promore the Utilization of Internet is a main issue of national information policy. In this study, we focused our approach to find promoting sttategies for Internet utilization on three sector's users, governments, enterprises, and households. Promoting the Internet utilization of these three sector's users is a very difficult problem, because their information levels are different and information gap among them can be regarded as bottleneck. And since the interactions between user's demands and diverse information seccor's factors are very complex, policy leverages can not find easily. By the system dynamics methodology, this paper examines the interrelationships between three user's demand mechanism and information policy sector. Information policy sector consist of four sectors, infrastruccure policy seccor, application-contents sector, governance sector, and access and price policy sector (free access policy, literacy policy, telecommunication price policy, etc.). To find and investigate policy leverage that will help understanding dynamic behavior of users in using Internet we build a causal loop diagrams and SD models by using survey data obtained from three sectors'specialized users, 488 persons.

• STI Policy Review
• /
• v.1 no.4
• /
• pp.1-20
• /
• 2010

This paper explores the role of entrepreneurship education in a modern economy and how the government, academic, and nonprofit sectors in the United States have responded to this growing field. There are several sectors that play important roles in the entrepreneurship education landscape in the United States. Over the past decade, there has been increasing participation of Federal and state governments. This recent trend suggests the field may be increasing in maturity and legitimacy, showing promise for expanding the reach of entrepreneurship education programs. Programs sponsored by nonprofit organizations and private foundations complement government initiatives and display an effective means of leveraging knowledge and resources across the relevant sectors. Thus, new initiatives, whether initiated by government or academia, should learn from the successes of this sector as well as be carefully considered within the context of existent programs and services. Nonetheless, the potentially dynamic environment of the entrepreneurship education field in the United States offers a specific opportunity to leverage the experience in mentorship activities at the post-secondary education to address a possible gap in these activities at the secondary education level.

• Korean System Dynamics Review
• /
• v.1 no.1
• /
• pp.29-56
• /
• 2000

During the past few years, cyberspace and electronic commerce has been expanding throughout the world rapidly. The purpose of this paper is to find out policy leverages for boosting up cyberspace and electronic commerce using system dynamics simulation modeling approach. The system dynamics simulation model developed in this paper allows analysis of both the effect of factors on dynamic growth pattern of cyberspace as well as the effect of time delay in information processing, money transfer and delivery on model behavior. Finding of this study is that capacity of information infrastructure and size of cyberspace population are key factors of cyberspace growth. Also, reducing time delay in information flow, money flow, and delivery flow is an important policy leverages for growth of electronic commerce.

• Korean System Dynamics Review
• /
• v.9 no.1
• /
• pp.171-197
• /
• 2008

By applying Systems Simulation technique, this paper aims to investigates the dynamics underlying the coevolution of IT(information technology) and the society. Particularly, a series of basic questions are explored to answer by developing a simulation model for the mechanisms underlying the 'hype curve' ever occurring in the course of technology diffusion into society: First, why hype curve appears in the process of technology and society coevolution. Second, how to enhance the tapering level at the final stage of coevolution. Third, what are the key policy leverages and when is the right time for the policy intervention. As now, inflated expectations regarding ubiquitous information technology (u-IT) are growing very fast and higher than those for the previous technologies, which would result in overshoot followed by collapse of visibility and thus incur tremendous amount of social costs. In this regard implications drawn from this study perhaps give some insights not necessarily to the academics but also to the practitioners and policy makers facing the advent of u-IT as a new emerging horizon of information society.

• The Journal of Asian Finance, Economics and Business
• /
• v.9 no.9
• /
• pp.327-337
• /
• 2022

The purpose of this study is to determine the direction and significance of variables influencing small and medium enterprises (SMEs) decisions regarding accounting policy in Vietnam. Research data was collected through a survey of 296 subjects, including chief accountants, accountants, managers, and lecturers with practical experience in accounting work at enterprises. With the help of specialized software SPSS, determining the impact of factors on the choice of accounting policy of enterprises is done through a multivariate regression model with control tools Cronbach's alpha determination, EFA factor analysis, and Pearson correlation analysis. Research results show that there are seven factors affecting the choice of accounting policy in Vietnamese SMEs; in which, the factors information technology, legal environment, information demand, manager's awareness, and accounting qualification have a positive impact; and two factors are tax pressure, and financial leverage have a negative impact on accounting policy choice. These results are consistent with most of the previously published studies. However, in contrast to many previous studies, our research shows that accounting's psychological factor does not affect the accounting policy choice. This is consistent with the characteristics of SMEs in Vietnam because the role of accountants is not appreciated in the business.

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• v.16 no.4
• /
• pp.270-275
• /
• 2016

We present an approach for acceleration actor-critic algorithm for reinforcement learning with continuous action space. Actor-critic algorithm has already proved its robustness to the infinitely large action spaces in various high dimensional environments. Despite that success, the main problem of the actor-critic algorithm remains the same-speed of convergence to the optimal policy. In high dimensional state and action space, a searching for the correct action in each state takes enormously long time. Therefore, in this paper we suggest a search accelerating function that allows to leverage speed of algorithm convergence and reach optimal policy faster. In our method, we assume that actions may have their own distribution of preference, that independent on the state. Since in the beginning of learning agent act randomly in the environment, it would be more efficient if actions were taken according to the some heuristic function. We demonstrate that heuristically-accelerated actor-critic algorithm learns optimal policy faster, using Educational Process Mining dataset with records of students' course learning process and their grades.

• Korean System Dynamics Review
• /
• v.8 no.2
• /
• pp.83-114
• /
• 2007

The Korean defense industry was brought up in the government policy since 1970's. The important parts of defense industrial technologies have not been developed, and usually introduced from overseas. Moreover, the development of advanced technologies was not actively stimulated or pursued, consequently shaping the current structure of the defense industry which lacks global competitiveness due to the dearth of high technologies necessary for high-technology weapons. This research analyzes the systems of the Korean defense industry through a systems thinking approach in order to understand the whole mechanism and to find ways to improve the defense industry. Finding some leverages is the main purpose of systems thinking, that yields desirable results with a little effort. The three policy leverages are: (1) the policy for timely fielding; (2) the R&D investment for development and production of domestic high-technology weapons; and (3) the policy measures for exports. The research findings will contribute to the invigorating and developing the Korean defense industry by providing policy-makers and acquisition practitioners with systematic understanding and insight into the dynamics of the defense industry for them to make and execute efficient policies taking into account the Korean overall defense industry.

• Journal of Information Technology Applications and Management
• /
• v.21 no.4_spc
• /
• pp.431-447
• /
• 2014

Demand of spectrum resource is tremendously increasing and this trend will continue as more IT services such as cloud computing, smart devices, Internet of Things are provided through wireless network. Recent development of spectrum sharing technology has drawn attention to spectrum policy makers as a promising way to overcome the expected spectrum shortage problem. However, technology-based solution to spectrum shortage problem may not be sustainable since the solution affect only one aspect of spectrum sharing ecosystem. To understand the whole picture of spectrum shortage problem, policies to vitalize spectrum sharing ecosystem were proposed based on the analysis of System Dynamics causal map in the previous study. This study compares and analyzes the effect of those proposed vitalization policies by using System Dynamics simulation. Among seven alternative policies, combined application of demand acceleration policy and technology development policy was found to be more effective for better utilization of spectrum. The effect of demand acceleration policy was offset when other policies are applied together except supply acceleration policy which shows better spectrum sharing.