The goal of this training is to establish an in-depth understanding of technology adoption and forecasting methods. Upon completion of the course, participants will have constructed multiple models of adoption forecasts, representing a wide spectrum of potential applications.
Conceptual fundamentals of adoption and adoption theories
Determinants of adoption
Fitting adoption through historical data
The simple case: point estimate forecast
Probabilistic variants
Organic models of adoption
Linear
Logistic
Bass
Continuous
Traditional model
Time-to-90% Max
Discrete
Gompertz
Adoption models with dynamic input parameters
Disruption
Disruptive events (non-competitive)
Competitive disruption
Uni-directional disruption
Interactive disruption of multiple competing technology classes
Application and mis-appication of adoption models
Modality: Didactic and experiential
Prerequisites: Fundamentals of Strategic Forecasting Tuition: $1,499
