Startups lead the way in innovation and contribute significantly to economic development. The majority of these companies are located in Silicon Valley, which is the largest startup ecosystem (Startup Genome, 2025a). Thanks to skilled talents, knowledge, and strong networks, they can tackle the usual re-source limitations of the early stage. Specifically, several studies have been conducted about Silicon Valley and Europe; a few are based on direct experi-ence or focus on what to do before launching a successful product. Therefore, this research aims to provide a framework of practice-oriented insights and best practices derived from authentic experiences of marketing leaders, VC partners or founders. This thesis comprises two sections: Silicon Valley and the European ecosystem, analysed with different methods. For the Silicon Valley side, data from podcasts, blogs, and videos from VC websites, are analysed combining systematic literature review approach with Gioia's. For the European context analysis, papers and an empirical case are evaluated. The analysis identifies customer commitment, internal team alignment, validated learning, operational enablement, and growth infrastructure as key. The results indicate that customer needs and preferences influence the strategy; according-ly, every member of the organisation must be coordinated and aligned to achieve the goals. Simultaneously, experimentation enables startups to face un-certainty and avoid resource wastage. If there are errors within the strategy, the team must review the feedback and insights collection phase. Ultimately, the model provides a unique perspective compared to existing analyses in the literature and the current European situation. However, its similarities with previous findings demonstrate that the model is coherent and the analysed data align with what has already been established. Lastly, the research aims to support entrepreneurs in their endeavours and to help academics explore this theme. The approach adopted gives the study originality and replicability.
Le startup guidano il percorso dell’innovazione e contribuiscono in modo significativo allo sviluppo economico. La maggior parte di queste imprese si trova nella Silicon Valley, il più grande ecosistema di startup al mondo (Startup Genome, 2025a). Grazie a talenti qualificati, conoscenze e solide reti di relazioni, riescono ad affrontare le consuete limitazioni di risorse tipiche delle fasi iniziali. Numerosi studi hanno analizzato la Silicon Valley e l’Europa, ma pochi si basano su esperienze dirette o si concentrano su ciò che occorre fare prima di lanciare con successo un prodotto. Questa ricerca mira pertanto a fornire un quadro di riferimento costituito da approfondimenti e buone pratiche di natura applicativa, derivati dalle esperienze autentiche di marketing leader, partner di venture capital e fondatori. La tesi è articolata in due sezioni: la Silicon Valley e l’ecosistema europeo, analizzati con metodi differenti. Per la parte relativa alla Silicon Valley, i dati provenienti da podcast, blog e video pubblicati sui siti web di società di venture capital sono stati analizzati combinando l’approccio della revisione sistematica della letteratura con la metodologia di Gioia. Per il contesto europeo, sono stati valutati articoli accademici e un caso empirico. L’analisi ha individuato come elementi chiave l’impegno verso il cliente, l’allineamento interno del team, l’apprendimento validato, l’abilitazione operativa e l’infrastruttura di crescita. I risultati mostrano che le esigenze e le preferenze dei clienti influenzano la strategia e che ogni membro dell’organizzazione deve essere coordinato e allineato per raggiungere gli obiettivi. Allo stesso tempo, la sperimentazione consente alle startup di affrontare l’incertezza e ridurre gli sprechi di risorse. In presenza di errori strategici, il team deve rivedere la fase di raccolta dei feedback e delle informazioni. In definitiva, il modello proposto offre una prospettiva originale rispetto alle analisi esistenti e alla situazione europea attuale. Tuttavia, le sue somiglianze con risultati precedenti dimostrano la coerenza del modello e la solidità dei dati analizzati. Infine, la ricerca intende supportare gli imprenditori nei loro progetti e fornire agli studiosi nuovi spunti di approfondimento. L’approccio adottato conferisce allo studio originalità e replicabilità.
Strategia di Ingresso sul Mercato: Consigli e Approfondimenti dalla Silicon Valley
ANNIBALLI, GIULIA
2024/2025
Abstract
Startups lead the way in innovation and contribute significantly to economic development. The majority of these companies are located in Silicon Valley, which is the largest startup ecosystem (Startup Genome, 2025a). Thanks to skilled talents, knowledge, and strong networks, they can tackle the usual re-source limitations of the early stage. Specifically, several studies have been conducted about Silicon Valley and Europe; a few are based on direct experi-ence or focus on what to do before launching a successful product. Therefore, this research aims to provide a framework of practice-oriented insights and best practices derived from authentic experiences of marketing leaders, VC partners or founders. This thesis comprises two sections: Silicon Valley and the European ecosystem, analysed with different methods. For the Silicon Valley side, data from podcasts, blogs, and videos from VC websites, are analysed combining systematic literature review approach with Gioia's. For the European context analysis, papers and an empirical case are evaluated. The analysis identifies customer commitment, internal team alignment, validated learning, operational enablement, and growth infrastructure as key. The results indicate that customer needs and preferences influence the strategy; according-ly, every member of the organisation must be coordinated and aligned to achieve the goals. Simultaneously, experimentation enables startups to face un-certainty and avoid resource wastage. If there are errors within the strategy, the team must review the feedback and insights collection phase. Ultimately, the model provides a unique perspective compared to existing analyses in the literature and the current European situation. However, its similarities with previous findings demonstrate that the model is coherent and the analysed data align with what has already been established. Lastly, the research aims to support entrepreneurs in their endeavours and to help academics explore this theme. The approach adopted gives the study originality and replicability.| File | Dimensione | Formato | |
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Giulia Anniballi - Master Thesis.pdf
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https://hdl.handle.net/20.500.14239/31803