Entrepreneurship is a cross-sectional discipline, and Alex’s research perceives it at the intersection of strategy, marketing, and organizational sociology literature. Most recently, Alex has focused on how new ventures achieve optimal distinctiveness, i.e., how they handle the trade-off between simultaneously conforming to norms to appear legitimate and differentiating to appear novel and unique to realize competitive advantages. He collects and analyzes large-scale secondary data from publicly available online sources for empirical testing. He processes them with machine learning, such as image label recognition and natural language processing. Before joining JADS, Alex held positions at the University of Siegen, RWTH Aachen University (Germany), and BI Business School in Oslo, Norway. His work appears in journals such as the Journal of Business Venturing, the International Journal of Innovation Management, and the Journal of Retailing.
JADS also participates in several (international) projects, which contribute to grand societal challenges like health, food security, smart transport and secure societies. Together with companies, government, NGO’s and other knowledge institutions, JADS works on solutions by using data.