This book covers the full spectrum of causal modeling techniques, from decision tree analysis through qualitative and then quantitative modeling tools. MBA students and professionals will find that causal modeling in a variety of business contexts is key to achieving success in a managerial role. ¿
This book covers the full spectrum of causal modeling techniques, from decision tree analysis through qualitative and then quantitative modeling tools. MBA students and professionals will find that causal modeling in a variety of business contexts is key to achieving success in a managerial role. ¿
Michael D. Ryall is an Associate Professor of Strategy at the University of Toronto, Canada. He teaches courses on advanced strategy analysis and on causal modeling to undergraduate, MBA and EMBA students. Prior to obtaining a PhD and becoming a full-time scholar, he held positions in consulting, general management and finance. Aaron L. Bramson is currently a researcher at the RIKEN Brain Science Institute, Japan. Previously he worked as a research fellow in the Rotman School of Management at the University of Toronto, Canada, as a software engineer at Lockheed Martin Corporation, and has taught numerous workshops on complexity, networks, and agent-based modeling around the world.
Inhaltsangabe
1. Introduction to Causal Analysis 2. Qualitative Causal Models 3. Application: Interview Case Study 4. Quantitative Causal Models 5. Situational Analysis 6. Application: Modeling Business Financials 7. Single-Agent Interventions 8. Application: Disrupting the Taxi Business 9. Multi-Agent Intervention 10. Data-Driven Causal Modeling
