Sorgner, Alina

Profile Picture
Institutional profile
Dr. Sorgner received her doctoral degree in economics from the Friedrich Schiller University of Jena, Germany. Her research work in the field of digitalization, gender, entrepreneurship, and regional studies was published in peer-reviewed journals and discussed in leading newspapers including Süddeutsche Zeitung, Frankfurter Allgemeine, and La Nación. She regularly collaborates with international organizations (e.g., Women20 and Think20, the initiative groups within the G20), advises policy makers (e.g. members of the German Bundestag), and gives invited talks on these and related topics.

Filters

20241
Reset filters

Settings

Citations

Publication Search Results

Now showing 1 - 1 of 1
  • Thumbnail Image
    Publication
    Artificial Intelligence and Entrepreneurship
    (2024) Fossen, Frank M.; McLemore, Trevor; Sorgner, Alina
    This survey reviews emerging but fast-growing literature on impacts of artificial intelligence (AI) on entrepreneurship, providing a resource for researchers in entrepreneurship and neighboring disciplines. We begin with a review of definitions of AI and show that ambiguity and broadness of definitions adopted in empirical studies may result in obscured evidence on impacts of AI on en-trepreneurship. Against this background, we present and discuss existing theory and evidence on how AI technologies affect entrepreneurial opportunities and decision-making under uncertainty, the adoption of AI technologies by startups, entry barriers, and the performance of entrepreneurial businesses. We add an original empirical analysis of survey data from the German Socio-economic Panel revealing that entrepreneurs, particularly those with employees, are aware of and use AI technologies significantly more frequently than paid employees. Next, we discuss how AI may affect entrepreneurship indirectly through impacting local and sectoral labor markets. The reviewed evidence suggests that AI technologies that are designed to automate jobs are likely to result in a higher level of necessity entrepreneurship in a region, whereas AI technologies that transform jobs without necessarily displacing human workers increase the level of opportunity entrepreneurship. More generally, AI impacts regional entrepreneurship ecosystems (EE) in multiple ways by altering the importance of existing EE elements and processes, creating new ones, and potentially reducing the role of geography for entrepreneurship. Lastly, we address the question of how regulation of AI may affect the entrepreneurship landscape by focusing on the case of the European Union that has pioneered data protection and AI legislation. We conclude our survey by discussing implications for entrepreneurship research and policy.