According to OECD reports, small and medium-sized enterprises (SMEs) make up the vast majority of Italian businesses, employing almost 80% of the workforce in industry and services and generating around two-thirds of turnover and value-added. In this scenario, entrepreneurship through acquisition models that target small enterprises like Search Funds becomes of great interest, both from an academic standpoint and from a business one. The first section of this thesis will be dedicated to presenting the Search Fund model in all its nuances, leveraging on insights coming from the most knowledgeable sources in the field. The second section will describe the framework, the methodologies and the results of a real-world search, conducted by the thesis’ author, for a Search Fund based in Veneto. The search started from a broad sample of privately held companies based in the Veneto region in Northern Italy and led to the identification of fifteen potential target companies as well as one hundred and fifty comparable companies, ten for each potential target. The one hundred and sixty-five companies were then analyzed in depth via well-known business measures, KPIs and statistical methodologies with the aim of providing significant results to help the decision-making process of the Search Fund principals.
Secondo i rapporti OCSE, le piccole e medie imprese (PMI) costituiscono la maggioranza delle imprese italiane, occupando quasi l'80% della forza lavoro nell'industria e nei servizi e generando circa i due terzi del fatturato e del valore aggiunto. In questo scenario, i modelli di entrepreneurship through acquisition che si rivolgono alle piccole imprese come i Search Funds si rivelano di grande interesse, sia dal punto di vista accademico che da quello di business. La prima sezione di questa tesi sarà dedicata a presentare il modello dei Search Funds in tutte le sue sfaccettature, facendo leva su approfondimenti provenienti dalle fonti più informate del settore. La seconda sezione descriverà il framework, le metodologie e i risultati di una ricerca reale, condotta dall'autore della tesi, per un Search Fund con sede in Veneto. La ricerca è partita da un ampio campione di aziende private con sede in Veneto, nel Nord Italia, e ha portato all'identificazione di quindici potenziali aziende target e di centocinquanta aziende comparables, dieci per ogni potenziale target. Le centosessantacinque aziende sono state poi analizzate in profondità attraverso note metriche di business, KPI e metodologie statistiche con l'obiettivo di fornire risultati significativi per aiutare il processo decisionale dei committenti del Search Fund.
Exploring the search fund model : an evaluation of potential target companies in northern Italy
Corna, Niccolò
2021/2022
Abstract
According to OECD reports, small and medium-sized enterprises (SMEs) make up the vast majority of Italian businesses, employing almost 80% of the workforce in industry and services and generating around two-thirds of turnover and value-added. In this scenario, entrepreneurship through acquisition models that target small enterprises like Search Funds becomes of great interest, both from an academic standpoint and from a business one. The first section of this thesis will be dedicated to presenting the Search Fund model in all its nuances, leveraging on insights coming from the most knowledgeable sources in the field. The second section will describe the framework, the methodologies and the results of a real-world search, conducted by the thesis’ author, for a Search Fund based in Veneto. The search started from a broad sample of privately held companies based in the Veneto region in Northern Italy and led to the identification of fifteen potential target companies as well as one hundred and fifty comparable companies, ten for each potential target. The one hundred and sixty-five companies were then analyzed in depth via well-known business measures, KPIs and statistical methodologies with the aim of providing significant results to help the decision-making process of the Search Fund principals.File | Dimensione | Formato | |
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https://hdl.handle.net/10589/204916