Journal Article

Artificial intelligence and big data in entrepreneurship

Obschonka, Martin, Audretsch, David B.

2020

Overview

While the disruptive potential of artificial intelligence (AI) and big data has been receiving growing attention and concern in a variety of research and application fields over the last few years, it has not received much scrutiny in contemporary entrepreneurship research so far. Here we present some reflections and a collection of papers on the role of AI and big data for this emerging area in the study and application of entrepreneurship research. While being mindful of the potentially overwhelming nature of the rapid progress in machine intelligence and other big data technologies for contemporary structures in entrepreneurship research, we put an emphasis on the reciprocity of the coevolving fields of entrepreneurship research and practice. How can AI and big data contribute to a productive transformation of the research field and the real-world phenomena (e. g., “smart entrepreneurship”)? We also discuss, however, ethical issues as well as challenges around a potential contradiction between entrepreneurial uncertainty and rule-driven AI rationality. The editorial gives researchers and practitioners orientation and showcases avenues and examples for concrete research in this field. At the same time, however, it is not unlikely that we will encounter unforeseeable and currently inexplicable developments in the field soon. We call on entrepreneurship scholars, educators, and practitioners to proactively prepare for future scenarios.

• Publisher: Springer Science + Business Media,Springer US,Springer Nature B.V
• Subject: Artificial intelligence / Big Data / Business and Management / Entrepreneurs / Entrepreneurship / Ethical dilemmas / Ethics / Industrial Organization / Management / Microeconomics / Rationality / Reciprocity / Research applications / Rules / Scrutiny / Teachers / Transformation / Uncertainty