In modern societies the labor market integration of each individual demands the central task of integration. Nevertheless job integration or a successful occupational life course depends not only upon his or her motivation or attention to the job directly, but is also a function of his or her qualification or biography and of his or her embedding into a preferred social environment. Using a system dynamics model introduced in this paper we demonstrate that an individual re-balancing between his or her job, biography, and social embedding is necessary to guarantee an optimal and sustainable labor market reintegration.
Under what conditions does employee ownership improve firm performance? Employee ownership structure is part of a larger corporate system. To answer this question, one needs to unpack the underlying causal mechanism of how ownership structure affects the corporate system and how the corporate system and market conditions in turn influence the design of ownership structure. We developed a model of a startup company with various compensation and ownership structures, how they influence employee behaviors that drive business processes, and how those business processes interact with market conditions which generate firm performance in a dynamic feedback system. We conducted simulation analysis to study how various combination of salary, stock options, stock grants and profit sharing schemes influence firm performance overtime. We hope to contribute to the field of Strategic Human Resource Management by providing a model of the causal mechanisms between HR practices and firm performance.
While qualitative-based system archetypes have helped popularize the application of systems thinking since the publication of "The Fifth Discipline", some argue using the archetype alone, without the knowledge derived from working directly with formal models, can be dangerous. This paper presents a formal simulation model of Shift the Burden, one of the most popular system archetypes. I seek to create a model as parsimonious and generic as possible while grounding the formulations based on behavioral decision processes. A set of leverage points are identified that prevents the system from tipping into a vicious circle where more symptomatic solution leads to erosion of fundamental solution that augments problem symptom.
The preservation of the historical town xidi is under debates. There are many different perspectives on how to conserve the historical towns by using tourism as a policy tool, from strict conservation policy to remain authenticity, to tourism growth development policy and the community development orientated policy. This study attempts to develop a holistic a system dynamics model to analyze the interaction of the social economic heritage sectors to examine policies to achieve the goal of development and conservation. The study shows that conservation alone cannot lead to its own goal. Economic development strategies could be a better choice if the development is careful planned and effectively controlled to avoid over consuming resources.
In August 2007, the US subprime mortgage crisis led to a crippling global financial crisis, creating immense monetary and asset losses for the worlds economy and financial organizations. Forming a financial crunch and bank credit shrinkage. It halted all economic developments in the world, so how did Taiwan prevent its housing bubble from bursting? The purpose of this study was using the techniques of system engineering, fuzzy delphi, system dynamics to formulate the dynamics model of housing market surveillance system for Taichung City. The model was simulated with different scenario of sensitive variables to understand the prospective development of housing market in Taichung. The research findings showed that a joined strategy of gradual price index movements, high interest rates for loans and lower unemployment rate can effectively strengthen urban housing market risk control, reinforce effective resource utilization and ultimately stimulate overall urban housing market development.
A healthy human body regulates blood glucose concentration via regulating the insulin concentration. Diabetes type 1 patients bodies cannot produce insulin. Therefore, blood glucose needs to be regulated by insulin injections. This is not an easy task because there are dynamic complexities such as accumulation processes, delays, nonlinearities, and feedback loops in the system. Moreover, the task is a critical one because both low and high levels of glucose are harmful for the body. In this work, we first developed and calibrated a system dynamics model for the two time delay model as described by Li et al., 2006. Later, we introduced a penalty formulation to be able to evaluate different cases. We also deleted the insulin production flow and added insulin injections to the base model in order to obtain the model for a diabetes type 1 patient. According to the initial results of the study, the suggested decision making heuristic would yield satisfactory results. However, further tests under different glucose infusion rate patterns and improvement to the heuristic are necessary.
Parameters of system dynamics models are subject to uncertainty, so sensitivity analysis of simulation results is important for the reliability of such models. Since system dynamics is a behavior-oriented simulation discipline, sensitivity of behavior pattern measures -such as equilibrium level or oscillation amplitude- to the model parameters should be evaluated in order to explore the effect of parameter uncertainty on the behavior pattern of the simulation. In this study, a procedure for pattern sensitivity analysis of system dynamics models is suggested. Then this procedure is applied to a project management model (Taylor and Ford, 2006) and two oscillatory system dynamics models using regression method. Our results indicate that pattern measures of output behavior are appropriate in analyzing the parameter sensitivity of system dynamics models.
Oscillatory system dynamics models are usually difficult to analyze with statistical sensitivity analysis because of nonlinear and cyclic behavior patterns. Therefore, behavior pattern sensitivity analysis, which focuses on the sensitivity of pattern characteristics such as equilibrium points and periods, is appropriate for this type of simulation models. In this article an analysis procedure is suggested for pattern sensitivity of oscillatory models and this procedure is applied to the inventory workforce model described by Sterman(2000), using regression method.