معرفی
Gabriella Marcarelli is an Associate Professor at the University of Sannio, Italy, working in the Department of Law, Economics, Management and Quantitative Methods (DEMM). Her research focuses on mathematical methods of economics and actuarial and financial sciences, specifically in the area of multi-criteria decision-making methodologies.
Dr. Marcarelli's research interests span multiple areas within decision science, with particular emphasis on the Analytic Hierarchy Process (AHP), ELECTRE methods, and their applications in various domains including finance, education, public administration, and healthcare. She has made significant contributions to understanding how multi-criteria methods can explain behavioral anomalies that violate traditional expected utility theory. Her work demonstrates how methods like ELECTRE III can account for phenomena such as the certainty effect and reflection effect in decision making.
Her publication record reveals a strong trend toward applying multi-criteria decision methods to practical problems. Early in her career, she focused on statistical approaches to analyzing AHP matrices, then expanded to applying these methods to investment choice problems, public tenders, school ranking systems, and healthcare performance management. Recent work shows increasing sophistication in classification methods like q-AHPSort II for evaluating STEM programs. Her research demonstrates the versatility of multi-criteria decision methods across diverse application domains while maintaining theoretical rigor.
Dr. Marcarelli has established productive collaborations with researchers including Massimo Squillante, Gerarda Fattoruso, Paola Mancini, Matteo Rossi, and Antonio Lucadamo. Her work often involves empirical testing of theoretical models using data from financial markets, educational institutions, and public organizations. While specific grant information isn't detailed in the available materials, her research program shows sustained productivity across multiple application areas of decision science.
