• 한국시스템다이내믹스연구
• /
• 제8권1호
• /
• pp.97-115
• /
• 2007

In System Dynamics, causal maps are used as a tool for analyzing dynamic problems and discussing the outcome of analyzed problems. However there are some limitations to use causal maps. In the drawing phase of causal maps, the high abstraction of variables that constitutes problems makes it difficult to find out correct information. And principles or rules to check errors on causal maps are not sufficient yet. Moreover, simulation modeling tasks are required to be concerned separately from drawing causal maps because causal maps cannot provide enough information to simulation modeling. In order to overcome these limitations, this study shows ways that ensure validity, increase power of expression of causal maps and improve the connection between causal maps and simulation modeling.

• 한국시스템다이내믹스연구
• /
• 제1권2호
• /
• pp.91-111
• /
• 2000

Causal maps or cognitive maps have been widely used to get insights for complex systems or decision makers. When insights come from the system behavior rather than its structure, we need simulation of causal maps and cognitive maps. In this paper, a method for directly converting causal maps and cognitive maps into stock-flow diagrams that can be simulated in computers in proposed. This method is called as NUMBER. NUMBER is an abbreviation for 'Normal Unit Modeling By Elementary Relationship'. In this paper, NUMBER is applied to a cognitive map of policy maker to show its usefulness.

• 한국시스템다이내믹스연구
• /
• 제6권1호
• /
• pp.5-15
• /
• 2005

This paper investigates psychological differences between constructors and interpreters of causal maps. This paper argues that dissipation effects and dilution effects applies to those who are to interpret causal maps not to those who construct them. Dissipation effects are psychological tendency that people perceive causal effect as weak as the number of causal links increases. Dilution effects occur when people undervalue the strength of causal relation as the number of causal variables increases. Experimental results show that concentration effects opposite to the dissipation effects and dilution effects explain more correctly the perception of constructors of causal maps. This paper points out that this asymmetric psychological tendencies between constructors and interpreters of causal maps is the psychological source of the communication problems between systems thinkers and their clients.

• 한국시스템다이내믹스연구
• /
• 제12권1호
• /
• pp.131-153
• /
• 2011

The purpose of this study is to explore the applicability of the causal maps for estimating creativity. This study assumes that fluency, flexibility, originality and elaboration are elements of creativity; and there are common characteristics between systems and creative thinking. For this study, 30 students from the 5th grade create causal maps which are consisted of the contents of 'the water cycle in the earth'. The causal maps are analyzed and evaluated by focusing on the characteristics of creativity. In way of the marking causal maps based on creativity, each word is scored as 1 point on the basis of 30 points for fluency. Each word which is linked more than one word is scored 3 points for flexibility, but the maximum points are limited as 35 points. In originality, if it is approved each word is worthy as well as originality, it is scored as 10 points on the basis of 40 points. Lastly, each number of cycle loops is scored as 15 points for elaboration, and the maximum scores are limited as 45 points. As is stated above, the limiting of the maximum scores are designed based on corresponded to 10% students of participators. In the result of this study, the students' scores of evaluating creativity applied causal maps show similar patterns from relative point of view to the other results which were evaluated the creativity by credible organ. Consequently, it is recognized that the causal maps have the possibility of being able to estimate quantitatively the creativity.

• 한국정보시스템학회지:정보시스템연구
• /
• 제16권4호
• /
• pp.177-194
• /
• 2007

This study is intended to identify critical success factors(CSF) of real-time enterprises(RTE) by using a policy leverage method of system dynamics. Since RTE is a new theoretical system that unifies existing theories or concepts in business management and information technology, it is not proper to employee a traditional statistical method. To obtain our research goal, causal maps of system dynamics are employed to abstract and arrange RTE information from previous studies. By using the commonness of policy leverage and critical success factors, CSFs for the RTE are deduced by substituting the leverage points on causal maps with necessary success factors to solve the problems. Since this is a new approach to identify success factors. it has some restrictions. Unlike the statistical methods, this approach explains only the directions of causalities and correlations. For the future research, a simulation tool of system dynamics can be employed to discover how each CSF is correlated to the successful implementation of RTE.

• 한국시스템다이내믹스연구
• /
• 제10권1호
• /
• pp.33-60
• /
• 2009

This study explores the limitation in making a causal model through an existing case and proposes an alternative plan to improve a theoretical system of causation modeling. To make a dynamic and actual model, several principles are needed such as reality based analysis of system structures and dynamics, consistent expression of causations, conversion of numerical formulas to causal relations, classification and arrangement of variables by size of concept, etc. However, it is hard to find cases to apply these considerations from existing models in System Dynamics. Therefore, this study verifies errors of derived models from literatures and proposes principles and guides that should be considered to make a sound dynamic model on a causal map. It contributes to making an opportunity for exciting public opinion to improve theory about causal maps, yet it has limitation that the study does not advance forward to the experimental step. For future study, it plans to make up by classifying and leveling causal variables, developing a dynamic BSC model.

• 한국시스템다이내믹스연구
• /
• 제1권1호
• /
• pp.5-28
• /
• 2000

After the unanticipated financial crisis of Korea in 1997, lots of debates have been held on how to manage the crisis. However, few studies attempt to analyze policy makers' map that shaped and guided various measures for overcoming the crisis. This paper explores cognitive maps and systems thinking of the President of Korea who successfully managed the financial crisis. Futhermore, his cognitive map is compared to that of Prime Minister of Malaysia who overcome financial crisis successfully but in different ways. In this paper the causal map analysis of policy makers is proposed as a promising approach for in-depth investigation of systems thinking of policy makers.

• 한국건축시공학회지
• /
• 제9권2호
• /
• pp.63-68
• /
• 2009

Construction Performance measurement and management has been interested by construction practitioners. However, current construction project management practices are related to short-term improvement plans rather than long-term and systematic approaches based upon performance analysis. AR a result, there is a need for developing of a collaborative plan over project life cycle. Therefore, this paper reviews extensive literature and proposes the construction performance estimating model using a system dynamics. The paper proposes casual maps for planning, design, procurement, and construction phases. Each casual map includes all performance indicators and factors that impact on performance directly or indirectly. These casual maps that were developed by system thinking will enhance the understanding of the relationships among performances and factors. After further data gathering, these models can be used to estimate construction performance and eventually these will save project costs and shorten project schedule.

• 한국시스템다이내믹스연구
• /
• 제8권1호
• /
• pp.187-209
• /
• 2007

This paper deals with the policy failure in housing markets. In order to understand basic mechanism leading to policy failure, systems thinking and system dynamics modeling is applied to housing markets and housing policy. This paper will show different set of causal maps on housing policy, and compare causal reasons of housing policy and its critics.

• 한국측량학회지
• /
• 제36권4호
• /
• pp.213-221
• /
• 2018

한국은 그동안 분단국가라는 특수성으로 인해 안보 확보를 이유로 지도데이터의 국외개방을 제한하여 왔다. 그러나 공간정보 국외개방과 관련된 국내외 환경과 ICT 산업 생태계가 급격하게 변화하고 있으므로 계속해서 개방을 제한하는 데는 한계가 있다. 이에 본 연구에서는 시스템 사고를 활용하여 공간정보 국외개방과 관련된 변수들이 시간의 흐름에 따라 어떻게 변화하고 상호작용하는지 인과관계를 분석하였다. 먼저 국가안보, 지도기반 융 복합서비스, 기업간 경쟁 측면으로 구분하여 부문별 인과지도를 작성하였다. 이를 통합한 전체 인과지도를 바탕으로 정책개입 지점과 지배적 피드백루프를 파악하였다. 분석결과에 의하면, 국내 공간정보사업자의 자생력 확보가 전체 인과지도의 정책지렛대로 작용하며, 지배적 피드백루프를 악순환고리에서 선순환고리로 전환시키는 변수는 '지도데이터의 국외개방 결정'인 것으로 나타났다. 본 연구는 주요 변수간의 상호작용 관계를 인과지도로 작성하여 적은 투입으로 큰 효과를 볼 수 있는 정책 개입지점인 정책지렛대를 찾아내고, 장기적으로 어떠한 인과구조가 시스템을 지배하게 될 것인지 지배적 피드백루프를 파악하고 분석하였다는데 의의가 있다. 이러한 연구결과는 추후 구글 또는 여타 글로벌 기업이 공간정보 국외반출을 요청할 경우에 지도데이터의 국외반출이 국가 안보와 공간정보 산업 분야에 미치는 영향과 상호작용을 논의하는데 활용될 수 있다.