Dr. Rodolfo Baggio

Rodolfo Baggio holds a Laurea degree in Physics (MPhys) from the University of Milan, Italy and a PhD from the School of Tourism at The University of Queensland, Australia. After having worked for leading information technology firms for over 20 years he is presently professor at Bocconi University where he teaches courses in Computer Science, coordinates the Information and Communication Technologies area at the Master in Economics and Tourism, and is research fellow at the Dondena Centre for Research on Social Dynamics.
He has carried out consulting activities in the field of information technologies, organization, and planning for private and public tourism organizations and has managed several international research projects. Rodolfo has also held several courses and lectures at national and international level and actively researches and publishes in the field of information technology and tourism. His current research combines complexity theory and network analysis methods to the study of tourism destinations.

	Dr. Rodolfo Baggio rodolfo.baggio@unibocconi.it
	Rodolfo Baggio holds a Laurea degree in Physics (MPhys) from the University of Milan, Italy and a PhD from the School of Tourism at The University of Queensland, Australia. After having worked for leading information technology firms for over 20 years he is presently professor at Bocconi University where he teaches courses in Computer Science, coordinates the Information and Communication Technologies area at the Master in Economics and Tourism, and is research fellow at the Dondena Centre for Research on Social Dynamics. He has carried out consulting activities in the field of information technologies, organization, and planning for private and public tourism organizations and has managed several international research projects. Rodolfo has also held several courses and lectures at national and international level and actively researches and publishes in the field of information technology and tourism. His current research combines complexity theory and network analysis methods to the study of tourism destinations.