Aim of this paper is the description of a system dynamics based model for the German electricity market and its application. With the model Zertsim, developed by EIFER, impact studies of economic and environment related constraints on the German elec-tricity spot market should be made. A first application of the model was in a workshop with entrepreneurs of the region of Karlsruhe in Germany. One result of the workshop was an order of impact factors for the development of electricity prices and CO2 emis-sions. The most determining factors for high electricity prices are: 1) environmental constraints, 2) fuel prices, 3) electricity demand, and 4) extended operation time for nuclear power stations in Germany. Regarding CO2 emissions the highest impacts could be find in the case of: 1) environmental constraints, 2) extended operation time for nuclear power, 3) electricity demand and finally 4) fuel prices.
The Korean real estate market is currently experiencing a slowdown due to the global economic crisis which has resulted from subprime mortgage lending practices. In response, the Korean government has enforced various policies, based on intention to deregulate real estate speculation, such as increasing the Loan to value ratio (LTV) in order to stimulate housing supply, demand and accompanying housing transactions. However, these policies have appeared to result in deep confusion in the Korean housing market. Furthermore, analyses for housing market forecastingâparticularly those which examine the impact of the international financial crisis on the Korean real estate marketâhave been partial and fragmentary. Therefore, a comprehensive and systematical approach is required to analyze the real estate financial market and the causal nexus between market determining factors. Thus, with an integrated perspective and applying a system dynamics methodology, this paper proposes Korean Real Estate and Mortgage Market dynamics models based on the fundamental principles of housing markets, which are determined by supply and demand. As well, the potential effects of the Korean governmentâs deregulation policies are considered by focusing on the main factor of these policies: the mortgage loan.
This paper reports on the use of both qualitative modelling (i.e. Journey Making) and quantitative system dynamics simulation modelling for a strategy making process in a UK police force. The main focus of the work is on the tension between the supply of resources (i.e. police officers) and the demands placed on those officers. The strategic conversation that took place was facilitated by 2 modellers - one focussing on managing the strategic enquiry, while the other considered the implications of the conversation for the system dynamics model. Three key strategic conversations emerged: the management of quality with respect to staff, measuring productivity, and the role of public expectations. The work raises issues for both model building processes and the strategic management of any public organization.
Many entrepreneurial successes are attributed to the strong personalities of the new venture leaders, who offer vision, inspire loyalty, and display tenacity in solving problems to achieve their goals. Successful start-up ventures may bias perceptions of the anecdotal benefits of personality-driven leadership in firms too young to have established processes, operationally and organizationally. Those ventures destroyed by the personalities of early leaders, because they no longer exist, offer few anecdotes with which to compare and counter legendary successes such as Apple and its visionary leader Steve Jobs or Amazon and its creative founder Jeff Bezos. This paper advances our thinking about the risks and rewards of personality-driven leadership in start-ups by exploring the dynamics that can arise from heroic leadership gone awry. Building on a case study of a key manager in a medical-device start-up, we identify causal relations and essential dynamics that may bring success to the leader but at the expense of the new ventureâs viability. We discuss insights from the causal loops as they relate to the literature on leadership and outline next steps to advance the research.
This is about the water purification system which named eco-machine system. Based on the Model built by STELLA software, the system is used to simulate the wastewater treatment process of Constructed Wetland. This system can increase the amount of dissolved oxygen and absorb nitrogen and phosphorus. Through analyzing the elements influencing dissolved oxygen, we designed the experiment which is divided into 4 parts of circulation: Aquarium which contains ornamental fish; physical treatment which contains oxygen increasing pump; emerged plant absorbing nitrogen and phosphorus; submerged plant increasing oxygen. The power of pump indicates the speed of circulation of water. The amount of oxygen successfully increases with the help of our water purification system in the lab. We assume that the dissolved oxygen is the dominant indicator of the effluvium, so we consider the increase of the dissolved oxygen as the decrease of the effluvium. Meanwhile, all the cost we need is the electrical energy for operating water pump, some aquatic creatures and water plants. In another words, our eco-machine system is an efficient way to improve the water quality.
The present study undertakes a partial system dynamics (SD) translation of the contemporary biological and psychological conceptualizations of panic disorder (PD). It makes explicit the dynamic processes implicit in the narrative presentations in the literature. It serves as a facilitator for the discussion about PD for it provides an easy-to-understand and illustrative language for commoners to understand, and researchers of different fields to critically examine, the biological, psychological, social and cognitive aspects of PD.