The Impact of Family Ownership Structure on SMEs Performance in the Area of Catania City in Sicily

Daniele Intravaia

Student thesis: Master thesis

Abstract

Small and medium family businesses represent about two third of Italian GDP and represent the highest percentage of employees. Therefore, they are the bedrock of the economy of this country. Nonetheless, the interest for this kind of firms has certain pros and cons, and today it has gained interest again, especially due to 2008 crisis.
The objective of the thesis is to detect the impact of family ownership to its firm performance through a qualitative and quantitative analysis of data collected from three companies. These three companies are well rooted in the territory, with a long past life in the city and province of Catania in the south of Italy. There have only been few studies made in this area due to the difficulty of data collection, geographical marginality and economical situations.
This academic paper points to bring more light to the field of family firms. The data for this analysis are collected through a survey divided into a qualitative and quantitative part. Quantitative data, all accounting items, have been collected through the Chamber of Commerce of Catania. They have been grouped and some have been elaborated in order to get synthetic ratios. Then they have been analised through the implementation of statistical methods and integrated with qualitative data.
This academic paper concluded that Leadership always positively impact firm performance. This impact is amplified by the firm size. Family member CEO and CFO with the presence of strong leadership should positively impact firm performance.
This thesis is articulated in 6 sections. The first three contain a general introduction to the topic and socio-historical-economic introduction to the geographic area of interest. It follows one section reporting the main findings from family firm literature. The central body of the thesis consists of one section divided into methodology, qualitative and quantitative data analysis and findings. Last two sections bear critics and conclusions.

EducationsMSc in Finance and Investments, (Graduate Programme) Final Thesis
LanguageEnglish
Publication date2017
Number of pages103