Florence Jaouat is a research associate and doctoral candidate the Department of Trust in Digital Services. She holds a Dual Master's degree in Industrial Engineering and Management (with majors in mechanical engineering and healthcare engineering) from TU Berlin and a Master in Management from the renowned French Toulouse Business School (TBS). At graduation, Florence Jaouat was among the top 3% of her cohort (785 students).
In addition to research, Florence Jaouat is closely involved in teaching the field.
As part of her doctorate, Florence Jaouat is focusing on crowd-based business models such as crowdfunding. Crowdfunding is an Internet-based financial and investment instrument that enables companies to acquire mezzanine capital from a large number of individual (small) investors - the "crowd" - via an intermediary platform. In a way, the research interest has "grown historically", because after her studies Florence Jaouat spent a year at Companisto - a leading equity crowdfunding platform for startups in the DACH region - as Investor Relations Manager and as Head of Investor Relations with staff responsibility.
Why she finds crowdfunding so interesting? "Crowdfunding is the most democratic financing instrument of our time, in which projects can be realized in the early stages and without the prospect of financing by a large group of small investors. For both sides - those seeking capital as well as the investors - this opens up new growth and return prospects."
In her PhD, Florence Jaouat focuses on trust cues within the crowd and, more specifically, the question of which social cues faciliate phenomena like herd behavior. Here, she focuses on pervasive profile elements, including profile pictures, badges, but also implicit information such as the gender of investors. Her research is predominantly quantitative in nature. A milestone of her research is the field experiment in cooperation with CrowdDesk, a leading white label provider for crowdfunding platforms in the German market, where two versions of investor representation were tested against each other.
|01/2019-current||Research associate and doctoral candidate at the TU Berlin, Department of Trust in Digital Services|
|09/2017-12/2018||Research associate at the TU Berlin, Department of Organization and Leadership|
|08/2014-08/2015||Management (Master in Management) at the Toulouse Business School (Top 3 %)|
|Specialization: International Business|
|04/2014-03/2016||Industrial Engineering and Management (Master of Science) at the TU Berlin (with distinction)|
|Specialization: Health Technology|
|02/2011-07/2011||University of Sydney (NSW), Australia (Statistics, Macroeconomics, Languages)|
|10/2009-03/2014||Industrial Engineering and Management (Bachelor of Science) at the TU Berlin|
|Specialization: Mechanical Engineering|
|10/2009-03/2016||Full scholarship by the Hans Böckler Foundation|