Established industries develop and mature along continuous trajectories defined by the underlying technological paradigm relevant to serve the value network of the industry. Technological discontinuities and/or preference shifts at the higher levels of the value network may trigger a technological transformation in the industry. Depending on different circumstances, the technological transformation process may have significant impact on the industry, reverting the continuous maturation process, creating new structures and changing the way business is done in the future. Here we describe the transformation process that is evident in today's automobile industry, which we call Endogenous Transformation, and compare it two transformation processes previously described in the literature (Disruptive and Radical Transformation). In an Endogenous Transformation process, a new technology is developed in a joint effort by most organizations in the industry to substitute the old technology, with which their value network cannot be served any longer in the future. Important conditions for an Endogenous Transformation process to develop is that new knowledge must be effectively protectable from being freely copied by the competition and that new knowledge is traded between organizations, preventing significant knowledge asymmetries in the industry.
During this workshop we will introduce AnyLogic - a multi-method simulation tool supporting System Dynamics, Agent Based and Discrete Event modeling. We will build an agent based model, a system dynamics model and combine them into one. New features of AnyLogic 6.4 will also be demonstrated; SD array editor, full-featured converter form VenSim(TM), SD tools palette, view areas, and other. A CD with AnyLogic trial version will be given to everybody. You can bring your laptop and follow the presenter, or just watch. AnyLogic workshops usually include discussion on how Agent Based modeling is used in practice.
System Dynamics modeling techniques are applied to examine underlying dynamics affecting corporate tax department operations. Focusing on the complex work process of collecting data to make book to tax adjustments, a model is constructed that illuminates the cause and effect impact on tax department performance of having errors in collected data, and of the iterations required to resolve these errors. The model provides a basis for examining and justifying investment in process improvement alternatives that can not only have a financial impact on the enterprise, but also reduce risk with respect to meeting Sarbanes Oxley imposed standards.
Participatory research strategies, like Group Model Building, are of increasing importance in social science research. These strategies are especially used to support practice oriented research, where decision-making needs to be supported or solutions for practical problems need to be found. We argue that participatory research strategies can be differentiated into practice based and expert based research. They offer suitable alternatives for mainstream data based types of research to tackle practical problems. In this paper we formulate methodological criteria that are necessary to evaluate the practical utility of research strategies and the extent in which they produce valid results for practice oriented research.
Begun as a consulting project to resolve "disconnects" within large aerospace programs, this research effort asserts that we can gain new perspectives on innovative knowledge-work through simulations that represent the causal relations suggested by George Meads foundational theory of how we create shared meaning. In Meads interactionism we find principles and assumptions
During last decades, Corporate Social Responsibility (CSR) strategies received a growing attention from both businesses and non profit organisations. However, very often organisations fail to correctly implement a successful CSR strategy.
This paper describes the Riparian Shading Simulator, a system dynamics model of a thermal water quality trading program, in which point sources are allowed to offset their effluent by paying landowners to plant shade trees. The model is used to explore consequences of policy designs with varying trading ratios and upstream-only rules. Results from the model can be used to help choose a trading ratio that balances the goals of enhancing ecosystem services and reducing costs. The model also indicates that policy makers should be careful about using upstream-only rules, since they can potentially cause shading to be concentrated in upstream areas and contribute to downstream hotspots.
This paper describes an effort by Sandia National Laboratories to model and simulate populations of specific countries of interest as well as the populationâs primary influencers, such as government and military leaders. To accomplish this, high definition cognition models are being coupled with an aggregate model of a population to produce a prototype, dynamic cultural representation of a specific country of interest. The objective is to develop a systems-level, intrinsic security capability that will allow analysts to better assess the potential actions, counteractions, and influence of powerful individuals within a country of interest before, during, and after a conflict event.
The Environmental SIG welcomes everyone to join us in this important discussion about the challenges surrounding the use of system dynamics for natural resource modeling. Issue for discussion: Natural resource modelers often need to use data to create model behavior; moreover our cliental often expect to see their data and how it fits into a model. What are the challenges of managing the data driven nature of environmental while still designing system dynamic models. Many people who are not trained in system dynamics pick up software, build models and assume they are doing system dynamics. When they do not get results that are insightful they think that system dynamics is not useful. What can we do as a community of practice to enlighten modelers that system dynamics is much more than software and encourage the (proper) use of system dynamics in this field? The Society has partnered with Carbonfund.org as a means of offsetting the carbon emissions associated with the conference. Carbonfund, a 501(c)(3) nonprofit, has helped us estimate our conference emissions at 900.9 metric tons. The interactive poster presented by the Environmental SIG provides information about each of this offset project.