Optimal Revenue Policy based on Ticket Price Using System Dynamics Approach; Case Study Iran Football Premier League

The aim of this research was finding optimal policy to increase revenue from selling ticket of football competitions in Iran. To do this, at the first step, the effective factors on ticket price have been identified through literature and using the Delphi method which 21 high ranked variables were selected. In the second phase, the casual loop diagrams as the basis of stock and flow diagrams have been depicted through literature, regression equation and interviewing. The equation governing the relations have been obtained through 13 designed questionnaire whose validity have been approved by experts and was reliable based on 0.76 Cronbach’s Alfa criteria and the conceptual model has been obtained. Then, using valid values for constant variables the behavior patterns have been depicted by the model. At the final step, the validity of model has been examined with employing 3 methods of the Reality check, the sensitivity analysis and the test under extreme conditions. On the basis of results, three policies have been evaluated: the time of games, the method of ticket selling and advertisement on games. The results show that the advertisement has most effect on ticket price and so on revenue from a game in this context.