The clientele effects in equity crowdfunding: A complex network analysis

Abstract

The study develops an original interdisciplinary approach, leveraging complex networks through which it identifies groups of investors and projects in equity crowdfunding, investigates whether clientele effects arise resulting in specific investor-entrepreneur matching, and explores which investor-entrepreneur combinations can lead to the emergence of collective behaviors. Data about campaigns and investors are gathered from Crowdcube to identify investors and company types that populated this leading UK platform during its early years (2011–2016). Results show that the clientele effect exists only between specific investors and project types: serial investors are attracted to innovative companies, whereas high-value and small investors, representing the largest group in the crowd, prefer mature companies in the consumer product industry. Moreover, the study reveals that information exchange in certain matching drives the clientele effect, resulting in collective behavior on specific segments: small investors engage in collective behaviors only when targeting high-tech innovative companies. These findings provide a new view on the clientele effect in equity crowdfunding platforms and the financing of innovative companies.