Strategy Maps and Balance Scorecard are linear thinking which can not express what kind of the feedback strategy, it is difficult to analysis and answer the problems from the events delay too. Through the Balanced Scorecard¡¦s four dimensions, strategy maps make many of performance activities. The boss or manager can understand the enterprise strategy execution result simply. This study concentrate on a securities corporation, use Strategy Map and Balanced Scorecard view the destinations of the business, give them into Key Performance Index as possible destinations. Then use System Dynamics to built the relationship between different element, use simulation to experiment the model, wish for find the decisive element which will be answer to the securities corporation.The conclusions of this study are presented as follows: System dynamics establish the model that will be able to find the relationship among the element. System dynamics model will aid enterprise to find their lead index in the enterprise, and will be able to find antintuition event. By planning, vision, Balanced Scorecard and Strategy Map will aid enterprise create much workable goals.

Today, the threat to humanity survival, economic crisis, financial crisis, global warming, ecological extinction, greenhouse effect ... etc., are gradually grow by both detail and dynamic complexity process. Most current humanity facing problems is because human can¡¦t handle the gradually growing complexity system problems on our environment. The main purpose of this research is to explore the causal feedback diagram model translation into stock flow diagram model, and to discover key transfer principle from current system dynamics and fundamental components. This will improve dynamic system accuracy and validity. According to model transformation design, this research is to provide a model based architecture, on simulating actual causal feedback diagram module with Maria 2 Plus provided function. Maria is the first Chinese language interface for the system dynamics simulation software. Through Software development tools transfer model and natural language operation interface to user easy use on causal feedback diagram and stock flow diagram model rapid creation. This will also decrease the learning cycle and will increase model creation speed and validity.

Most of machine industry in Taiwan use ¡§Build to order¡¨ which start the production process until receiving orders. The key of ¡§Build to order¡¨ can be successful or not is quickly response to demand changes. If the production system can¡¦t keep up with changes in customer demand, it won¡¦t be able to process successive demands. Then the backlog will be more and more. So in ¡§Build to order¡¨, whether production system can adjust for changes in customer demand quickly or not is an important issue of ¡§Build to order¡¨. Kanban System is a mode of production which Toyota JIT system develops. It uses kanbans to control capacity of each workstation strictly. In order to achieve pull system, it uses kanbans to authorize production. Traditional push system must change production plans frequently, and maintain a certain stock between production processes. Pull system uses demands of back-end process to pull the production of front-end process. To achieve the so-called ¡§Just-in-Time¡¨ concept, the system must output the right number of products at the right time. This study uses system dynamics. According to relevant literatures and models, this study constructs Kanban system with industrial properties. According to demand changes and number of kanbans, this study simulates and analyzes the effectiveness after implementing the Kanban system. Then this study makes some management recommendations. Conclusions and findings:(1)Under the situation of normal demand changes, Kanban system can achieve quickly response and stability of production systems.(2) Under the situation of excessive changes in demand, implementing Kanban system will increase the backlog.(3)The number of kanbans represents production needs which are additional planned. The system should minimize the number of kanbans to avoid wastes.

This study theme is ¡§The impact of learning system dynamics by learning group.¡¨ Both through literature review, the first aspect is the cumulative literature in learning groups¡F the second aspect is the system dynamic learning process. In the past research, there was not any research about learning the system dynamics by learning group approach. Therefore, the researchers referred to literature and action research to propose hypotheses as follows¡G Hypothesis 1¡GA learning group can improve the motivation to learn the system dynamics. Hypothesis 2¡GA member who is more familiar with the system dynamics than others can improve the continuous motivation to learn the system dynamics. Hypothesis 3¡GThe motivation to learn the system dynamics can be affected by members¡¦ learning situations. This study was designed to learn the system dynamics in three hours a week by a learning group. The ¡§Business Dynamics¡¨ was used as the main textbook. This study used the action research as research methods. This study collated findings obtained by the following¡G ¤@¡BA learning group can improve the motivation to learn the system dynamics ¤G¡BA member who is more familiar with the system dynamics than others can improve the continuous motivation to learn the system dynamics. ¤T¡BWe should consider different motivations to learn the system dynamics in the process of learning the system dynamics.

Abstract Kenting National Park is the only national park in Taiwan related to the ocean. There are abundant marine resources, such as diverse coral species, which attracted many kinds of fishes. This coral reef ecosystem is well-known to it¡¦s high productivity, and high recreational value. It attracts millions of tourists every year. For the goal of sustainable development, the coast zone of Nanwan should be managed based on integrated perspectives. System dynamics is an approach that is used to describe, explore and analyze the procedure, information and the boundary of organizations in complex systems. Through the process of quantitative model simulation and analysis, we could understand the structure and behavior of a system. Such model is good for solving dynamic complex problems with non-linearity, causal circulation, information feedback and time-delay. The coastal zone management in Nanwan involves four intricate components, including the tourism, environment, ecosystem and the management, the complexity of the system has made it suitable to be solved by a system dynamic model. The model was built as a decision support system. According to the nature of the problem, the SD model was divided into four subsystems: social-economic subsystem, environment subsystem, biologic subsystem and management subsystem. To function as a decision support system, a user-interface was built, to allow user interact with the model, alter parameters and run simulates. The result of the simulation can provide good supporting imformation for decision makers. Four vital variables regarding the management scenarios, in cluding land development, wastewater treatment, fishing restriction, and surcharge fare, are presented to users in the user-interface. Users can adjust those variables and run a simulation to evaluate the impact under different configuration. Based on the current research, some preliminary results were found, such as this area is not suitable for heavy land development, meanwhile, adding wastewater treatment facility, restricting fishing activities, and implementing tourist charge, are useful to mitigate the human impact. As for design and enforcement of management policies it would rely on the experience and ability of the decision maker.

The Balanced Scorecard (BSC) facilitates managers to balance strategic focuses on four perspectives, on complex cause and effect relationships, and on developing more systemic aligned strategy. But some literatures showed that the BSC theory and practice had some limitations. The root of limitations is ¡§cause and effect are not closely related in time and space¡¨. And that will mislead managers to generate misperceptions of feedback information and execute wrong strategy. This research employs system dynamics as a method to overcome the limitations, and focuses on exploring the dynamic complexity of developing the BSC strategy. By two case studies, this research finds some opinions to conceptualize a theoretical framework, generate some dynamic pitfalls propositions, and summarize some dynamically aligned principles. By system dynamics method, this research builds qualitative and quantitative system dynamics models and inquires the cases¡¦ BSC strategy. And by case study method, this research follows qualitative research perspective to compare two cases and generate propositions. The conclusion, firstly, includes a conceptualized framework of ¡§improving the dynamic alignment of the balanced scorecard strategy in system dynamics¡¨, to support ¡§the theory of developing BSC with system dynamics¡¨ and enhance the long-term effectiveness of BSC strategy. Secondly, this research finds some dynamic pitfalls propositions. Lastly, this research discusses some implications on management, limitations, and future research.

The introduction of the Strategy Maps cooperate with the Balanced Scorecard(BSC) of Kaplan and Norton of 2003, the application and studying more and more on the practice and academy. In some papers mention the current BSC theory of the limit; there are no any research of interaction influence relation in BSC, Strategy goal, Performance Index and taking action etc. But it is the complicated dynamics relation between the BSC strategy action and the internal process of organization. Most of managers often pays close attention to neglecting the strategy goal long-termly in a short time, the side effect and sequelae caused by the fact that take action in strategy are influenced, form and judge the situation which feedbacks information by accident even more, namely the one that cause strategy planning is improper, then make the push benefit of the strategy goal not so good as expectancy. It can solve the problem of dynamic, If combine in BSC with the system dynamics method. Interaction mechanism and method of probing into enterprise's strategy goal and performance while measuring that the purpose of this research is here, draw the strategy map and weigh the goal and weigh the causality of the project with enterprises, Set up system dynamics model in accordance with its causality, analyze the result observed in simulation, find out the factor that drive succeeds, select the key index needed in order to finish the strategy goal. The main purpose, (1) to set up: The expansion of strategy map and Balanced Scorecard, and utilize the system dynamics method to carry on planning, simulation, procedure and tests. (2) To analyze: Through the interaction simulation of the test between performance index and strategy goal, looking for the best key performance index and the revise of policy and strategy. The research approach adopts the system dynamics method mainly, the materials which carry on case study are collected and analyzed; ' The procedure of planning, design and measurement of enterprise's strategy goal ' utilizing this research to be put in order, by the expansion of the strategy map and Balanced Scorecard, carry on the setting-up, simulation, test and analyzing of the system dynamic model. Use to propose the conclusion of this research. Study the conclusion: (1) with the causality of the BSC strategy goal project, there is influence of side effect and sequelae. (2) Imitate the execution achievement of the BSC strategy goal action scheme with the system dynamics method, can be the reference for policy planning and adjustment of the strategy. (3) With the side effect in the strategy goal causality of the Balanced Scorecard, support to conclude the performance index measurement. (4) Utilize the simulate test of system dynamics, look for the leading index in the system. (5) Study and put in order the basic system dynamics model of Balanced Scorecard. Expect that enterprises can use system dynamic to improve the whole benefit for a long time of enterprise's strategy goal to organize effectively. Lastly, to address the research result that in meaning on of managing, study limitation and the suggestion with follow-up research.

ABSTRACT With Balance Score Card and Strategy Map is it construct organization, linking and constructing to the financial affairs finally, its structure is causality that each perspectives with straightforward thinking . However, the operation of organizing is a system with complicated trends , have characteristic of non-linear , causal feedback , time delay between all strategy goal, use the method of System Dynamic, contribute to distinguishing the causal feedback of the complicated system, combine it with BSC, very auxiliary BSC foundation of causality under index, this has contribution to the using effectively of BSC very much, namely systematic dynamics is a handy tool that auxiliary enterprises drafted and carried out the strategy. Purpose that this paper studies: (a)Use the system dynamics method, the Strategy Map of learning and growth perspective key element the characteristic of nonlinearity , time delay in simulation, find out the staff and does not admit that learning and growth perspective the reason why the strategy carry out the activity , offer a policymaker to consult . (b)Inspecting the strategy map, the ones that probe into learning and growth perspective the strategy and internal business process are linked with the merger situation, do the basis of the strategy in order to revise and improve learning and growth. (c)Negative feedback loop produced with the dynamics method experiment simulation system operation of the system, offer a whole system to a administrator to think , make the right and best decision . Through the system dynamics method experiment simulation result: (a)By the question that negative feedback loop produces, forced learning and growth the strategy of perspectives , it is limited to benefit what has been organized the performance, strengthen learning and growth the way where the strategy of perspectives do not solve the system problem . (b)The strategy map of construction organized, but by using the system dynamics method, in imitating the course of the dynamic mechanism of the strategy map , give consideration to the strategy map other perspectives close linking (alignment ) and combining (integration ) wholly, reduce wrong decision, avoid wasting and organize resources to consume manpower time emptily. (c)Learning and growth strategy should carry out by department determine with perspective execution track casing that performance link closely while being other independently each to learn , prevent the staff at the basic level from regarding learning and growth the execution activity that perspective as surplusly, become a mere formality.

The high-throughput measurement devices for DNA, RNA, and proteins produce large amount of information-rich data from biological dynamic systems. It is a need to reverse engineering these data to reveal parameters/structure and behavior relationships implicit in the data. Ultimately, complex interactions between its components that make up a system can be better understood. However, issues of reverse engineering in bioinformatics like algorithms use, the number of temporal sample, continuous or discrete type of input data, etc. are discussed but merely in the validity problem. We argue that, since the data available in reality are not so perfect, the result of reverse engineering is impacted by the un-perfect data. If this is true, to know how this impacts the results of the reverse engineering and to what extent is an important issue. We choose the parameter estimation as our task of reverse engineering and develop a novel method to investigate this validity problem. The data we used has a minor deviation from real data in each data point and then we compare the results of reverse engineering with its target parameters. It can be realized that the more error in data will introduce more serious validity problem in reverse engineering. Three artificial systems are used as test bed to demonstrate our approach. The results of the experiments show, a minor deviation in data may introduce large parameter deviation in the parameter solutions. We conclude that we should not ignore the data error in reverse engineering. To have more knowledge of this phenomenon, we further develop an analytical procedure to analyze the dynamic of the systems to see which characteristic will contribute to this impact. The sensitivity test, propagation analysis and impact factor analysis are applied to the systems. Some qualitative rules that describe the relationship between the results of reverse engineering and the dynamics of the system are summarized. All the finding of this exploration research needs more study to confirm its results. Along this line of research, the biological meaning and the possible relationship between robustness and the variation in parameters in reverse engineering is worth to study in the future. The better reverse algorithm to avoid this validity problem is another topic for future work.

This paper desires to research how leader¡¦s beliefs of excellence enterprise influence organizational performance through soft variables¡Ðtaking Herman Miller Company (the thirdest furniture company in the United State) as Example. According to collecting researches of excellence enterprise and information of Herman Miller company, we builded the model of Herman Miller Company. Therefore we can simulate the situation and policies, and find out the relationship between leader¡¦s belief and organizational performance.