Abstract:
This paper aims at analysing the economic performance of Social Startups and the other startups to understand if there are any differences.
To do this, a population of more than 10000 Italian innovative startups was analysed.
Based on specific legislations, these Italian innovative startups were divided into two samples: Social Startups and other startups.
Thanks to the data regarding Social Startups and the other startups from 2017 to 2018, this study presents several regression analyses to compare their revenue and employment growth.
The regression analyses explain that Social Startups are as efficient as other startup in terms of economic growth, notwithstanding the Social Startups do not pursue only economic objectives.
Some explanations of this result are presented in this study.
Short bio:
Giuliano Sansone is a post-doc at Prague University of Economics and Business in the Department of Entrepreneurship.
He holds a Ph.D. in Management from Politecnico di Torino and he has been visiting Ph.D. Student at the MIT Sloan School of Management under the supervision of Fiona Murray.
Giuliano’s research is dedicated to Entrepreneurship and Social Innovation.
His research was published in international journals such as Technological Forecasting and Social Change and International Journal of Entrepreneurial Behavior & Research.
His research was presented at more than 10 international conferences such as AoM and EURAM.
Giuliano is also working on international projects and he is working for an international research team named Social Innovation Monitor (SIM).