About the Authors

Giacomo Marzi is Senior Assistant Professor (Tenured) of Management at IMT School for Advanced Studies Lucca (Italy). Previously, he was Senior Lecturer in Strategy and Enterprise at the University of Lincoln (UK), Department of Management, where he now holds a Visiting Fellow position. He received a PhD in Management from the University of Pisa, School of Economics and Management, Italy. His primary research fields are Innovation Management, New Product Development, and Bibliometrics. 

Marco Balzano is a Research Fellow at the Department of Economics, Management, Mathematics and Statistics, University of Trieste (Italy) and a PhD Candidate of Management attending a Double PhD Program between the Department of Management, Ca’ Foscari University of Venice (Italy) and KTO Research, SKEMA Business School (France). His main research interests deal with the study of chance, business strategy, and innovation management.

Leonardo Egidi is Senior Assistant Professor (Tenured) of Statistics at the University of Trieste, where he received his undergraduate and graduate degrees in Statistics. He also earned his PhD in Statistics from the University of Padova. His research interests include computational statistics, Bayesian inference, and their applications to biostatistics, social sciences, and sports analytics. He is a fellow of the Italian Statistical Society and the International Society for Bayesian Analysis. In addition to his research, Leonardo is a dedicated teacher of statistical methods and Bayesian inference.

Alessandro Magrini is Senior Assistant Professor (Tenured) of Economic Statistics at the Department of Statistics, Computer Science, Applications at the University of Florence in Italy. He earned his PhD in Applied Statistics in 2014 and currently teaches courses on Business and Economic Statistics for the Bachelor's Degree program in Statistics, as well as Statistical Methods for Forecasting and Quantitative Marketing for the Master's Degree program in Statistics and Data Science. His research interests focus on time series econometrics, statistical models for efficiency, productivity and sustainability analysis, policy impact assessment, statistical analysis of entrepreneurial decisions, and business intelligence.