Machine Learning for Forecasting Entrepreneurial Opportunities – A Literature Review

Business opportunity is one of the key pillars of entrepreneurship research. So far, there is little research on the combination of artificial intelligence and entrepreneurship. This article makes a twofold contribution to this through a systematic literature analysis. On the one hand, the existing approaches for generating or identifying the business opportunity are compiled from 25 publications and presented in a concept matrix. On the other hand, promising approaches and current research focuses, such as the analysis of patents with the help of text mining methods and Latent Dirichlet Allocation (LDA), are extracted, which provides further research incentives.