Modeling and Simulating Business Dynamics

1. Modeling Technology and Employment. It is known there are two opposite positions in the academic world; the Tecno-Optimists and the Tecno-Pessimists, and this paper studies the effects of new technologies on employment, with priority AI with or without robots and/or drones; 3D/4D printing and Nanotechnology.

2. Modeling a Dynamic Balanced Scorecard. This paper shows the conceptual and methodological aspects of balanced scorecard (BSC) with a quantitative model, combining elements from traditional BSC thinking with the Systems Thinking.

3. Modeling a Procurement Process. This paper shows the use of system dynamics methodology in studying the behavior of procurement process, that is totally different from other fields more usually studied with system dynamics like supply chain, project management and company performance.

4. Modeling a Scenario Planning Workshop.The paper show a practical experience and discuss key implementation challenges of a systems approach that combines System Dynamics, Scenario Planning and Qualitative Data Analysis in tackling a complex problem, showing the difficulties encountered in designing and planning the Scenario Planning workshop.

5. Modeling a Risk Analysis.The paper begins with exploring the recent advances on offshore fire and explosion risk analysis theories, followed by briefly introducing the research techniques employed in the proposed hybrid causal logic model which consists of event tree, fault tree, Bayesian network, and system dynamics.

6. Modeling Behavioural Stereotypes. After several modelling iterations that synchronised the acquired models with the obtained responses, four main key stereotypes were identified: quality, ego, competence, and motivation. In this paper both dominant feedback loops and important multi-input and multi-output variables are used for their description.

7. Modeling Enterprise Resource Planning (ERP). This study developed a system dynamics model of Enterprise Resource Planning ERP implementation based on Critical Success Factors CSFs to discuss ERP implementation complexities, which identifies the effect of CSF interrelations on different aspects of ERP project failure.

8. Modeling the Bass Diffusion Model. BDM is one of the most successful models in marketing research in particular and management science in general. This paper illustrates the limitations of the BDM, using mobile diffusion as a context, showing that it does not follow an S-curve in some cases.

9. Modeling a Group Model Building. This paper do not shows a model but summarise current knowledge and understanding in the public participation literature. What participatory methods should be used in which situations and particularly how they should be applied are still insufficiently addressed questions.

10. Using a Business Dynamics Simulator. This study develop a business simulation environment to help evaluate future businesses performance using system dynamics approach for entrepreneurship. Students see the simulation of their future businesses useful to check if the business will be profitable and cash breakeven.

11. Model for Strategic Decision Support. The model provides visual representations of a casino operations, scenario analysis and therefore illustrates the use of the model as a strategic decision support tool for casino managers.

12. Modeling the Rare Earth Elements. This paper applies the generic multivariant system dynamics model to forecast China’s rare earth elements production trend and Hubbert peak, using Vensim software based on the Hubbert model. The results show that the peak of China’s rare earth elements production will appear by 2040.

13. Modeling an Human Resource Planning. This paper investigate the dynamics of the Human Resource Planning (HRP) in a typical Information Technology company that involves analyzing and forecasting the talent.