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Three Essays on the Role of Corporate Ownership and Governance in the ESG Transition

The dissertation consists of three essays, each focusing on a different governance-related lever supporting the ESG transition. The first essay examines how ownership structure and board composition affect incumbent firms’ adaptation to competence-destroying innovation, using the automotive sector’s shift toward electric mobility as a case. It finds that concentrated ownership and diverse boards improve adaptive capacity, while institutional investors with short-term horizons inhibit it. The ...

Essays in Human Capital and Innovation

The diffusion of knowledge and information is a fundamental driver of technological progress and economic growth. In this dissertation, I investigate how such diffusion occurs and how it is shaped by the mobility of workers. Across three distinct but thematically linked studies, I explore the mechanisms through which human capi- tal—embodied in skilled individuals—transmits knowledge within and across organi- zations, scientific domains and institutional frameworks. Each chapter focuses on a spe...

Three Essays on Digital Platforms, Start-up Accelerators and Venture Capital Firms

In this thesis, I present three chapters related to my two areas of research: digital platforms (first chapter) and entrepreneurial finance (second and third chapters). In the first chapter, I explore advertising on social media platforms, which surged in recent years due to platforms’ ability to capture user attention and broker this attention to advertisers. I develop a two-sided model with heterogeneous users, who differ in product preferences and annoyance from ads, and heterogeneous adve...

Navigating Rough Landscapes: Statistical Physics Approaches to Machine Learning and Inference

Artificial Intelligence (AI) has rapidly become a central field in contemporary research, driving innovation in several disciplines, including physics, engineering, economics, and medicine. At the heart of AI lies the development of algorithms capable of autonomously learning from data and adapting to new challenges, moving beyond traditional rule-based programming. Despite remarkable progress, the underlying reason for the success of many AI models remains largely unexplained, underscoring t...

Statistical Physics of Generative Diffusion

This thesis investigates diffusion models with a statistical physics point of view, focusing on phase transitions and symmetry breaking events. First, we analyze the reverse diffusion process under the empirical score function for structured data. What we obtain is the description of a dynamical landscape and the characterization of the most important transition times, namely the memorization time. We also give a definition of generalization in this context, observing that interestingly it al...

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Tipologia
  • 13 - Tesi di dottorato927
Autore
  • ALLEVATO, GIULIO2
  • ANDOR, AGNES2
  • ANGELICO, CRISTINA2
  • ASMELASH, HENOK BIRHANU2
  • AZZOLLINI, LEO2
  • BOGACHEK, OLGA STANISLAVOVNA2
  • BONFANTI, LEONARDO2
  • CATALANO, MARTA2
  • DE LUCA, JACOPO2
  • DELPERO, ALESSIO2
Data di pubblicazione
  • 2020 - 2026277
  • 2010 - 2019392
  • 2002 - 2009258
Editore
  • Università Bocconi927
Settore disciplinare
  • Settore SECS-P/01 - Economia Poli...148
  • Settore IUS/04 - Diritto Commerciale123
  • Settore SECS-P/08 - Economia e Ge...107
  • Settore IUS/13 - Diritto Internaz...100
  • Settore SECS-S/01 - Statistica95
  • Settore SECS-P/07 - Economia Azie...78
  • Settore SECS-P/06 - Economia Appl...47
  • Settore SECS-P/12 - Storia Economica28
  • Settore SECS-P/10 - Organizzazion...18
  • Settore IUS/17 - Diritto Penale16
Keyword
  • consumer behavior1
  • cultural marketing1
  • loyalty1
  • satisfaction1
  • servicescape1
  • sexual orientation1
Lingua
  • eng672
  • ita196
  • fre3
Accesso al fulltext
  • open908
  • embargoed10
  • no fulltext9