Determinants of corporate entrepreneurship in family firms dottorato di ricerca in economia aziendale e management tesi di dottorato

A bayesian-martingale approach to the general disorders problem

L'azione dell'OSCE per la tutela dei principi democratici l'evoluzione del processo normativo e istituzionale e il caso della missione OSCE in Bosnia-Erzegovina tesi di dottorato

The AI-driven public actor: new challenges to fundamental rights and the role of the private sector

In the last few years, with the increasing use of technology, and especially of Artificial Intelligence (AI), new aspects in the exercise of the public actor’s power can be observed. Specifically, as AI technologies begin to play a dominant role in the contemporary exercise of power, it becomes increasingly important to examine the phenomenology of a new kind of power and its unique challenges to constitutional principles. On this merit, the public actor is making extensive use of technologi...

Negoziazione algoritmica, intelligenza artificiale e market abuse oltre l’high frequency trading: i profili di rilevanza penale

Il settore dei mercati finanziari, è da decenni un osservatorio privilegiato per indagare quali siano le principali sfide poste dall’evoluzione tecnologica. Si tratta infatti di un ambito in cui da tempo si fa un ampio uso – anche illecito – di sistemi automatizzati per le negoziazioni e in cui negli anni è emerso come l’illecito posto in essere ‘da o tramite’ sistemi algoritmici possa avere una portata offensiva incommensurabilmente maggiore, a causa dei volumi e della interconnessione che c...

Constitutional Safeguards in the Age of AI. A Study on the Fundamental Rights Impact Assessment of Facial Recognition Technology

This thesis explores the regulation of Facial Recognition Technology (FRT) as a focal point for analysing the profound challenges posed by Artificial Intelligence (AI) to constitutional principles and fundamental rights in the digital age. By positioning FRT at the intersection of technological innovation and legal frameworks, the study examines how the adoption of this technology, particularly in law enforcement and public surveillance, amplifies risks to privacy, data protection, freedom of...

Methods of statistical physics for explaining neural networks performance

In this thesis we focus on understanding the impressive ability of neural networks to generalize on unseen data. When and why does this generalization occur, and how can it be predicted? We offer partial answers to these questions by analyzing the loss landscape of neural networks, drawing insights from the study of disordered systems. The first chapter contains a study that addresses multiple phenomena in machine learning using a complexity measure of the function realized by a neural netw...

Essays in Microeconomic Theory

This dissertation consists of three essays in microeconomic theory. The first chapter, co-authored with Daria Stepushina, examines equilibrium dynamics in a setting where private information about product quality can be disclosed by the seller and acquired by the buyer. This chapter studies an asymmetric information buyer-seller model with voluntary disclosure, characterizes equilibrium strategies, and analyzes the role of information costs and an (im)perfect authentication technology. The se...

Three Essays on Entrepreneurial Challenges: Dual-Mission Funding and Collaborative Innovation

Entrepreneurship requires addressing diverse external pressures as startups pursue growth. This dissertation studies three critical challenges faced by entrepreneurs: the impact of large incumbents, the difficulties in securing funding for ventures with dual missions, and the complexities of managing intellectual property (IP) in collaborative open-source communities. The first study investigates how large incumbents’ mergers and acquisitions (M&As), and corporate venture capital investments ...