An abductive model of group support systems

Few researchers have attempted to model group support system meeting behavior mathematically. Using Abductive Information Modeling (AIM), we show that group size and idea generation type are primary predictors of group process satisfaction. While similar to artificial neural networks, abduction frequently provides simpler models and yields weights for links among the model variables. Results show that the interrelationships among the model variables are non-linear.