Intelligent tourism system using prospective techniques and the mactor methodology: a case study of Tunisian tourism. (Special Issue: COVID-19.)

ABSTRACT

This paper proposes a managerial intelligence system for tourism by identifying its future necessary conditions. We use the managerial approach and the joint decision-making system to introduce cooperation among the actors in the Tunisian tourism system. The Mactor methodology was used to simulate the convergences and divergences between these actors. The results indicate that the model helps to define the system's future properties. The participation, without discrimination, of all tourism actors as a public-private partnership in the system's design and management is essential. The actors diverge in terms of piloting and financing the system, but they converge in terms of cooperating and participating in the management of the system. When there is such participation in management, the actors cooperate by sharing strategic information. In a public-private partnership framework, the state can intervene in the information market as a partner of economic actors rather than as the holder of a market monopoly.