Abstract
New models of entrepreneurship are emerging because of increasing digitalization and the development of artificial intelligence (AI). There is a lack of existing research on the intersection between digitalization and entrepreneurship. Therefore, this systematic literature analysis aims to expand knowledge in this area and provide a semantic analysis of existing contributions. Following the SPAR-4-SLR protocol, it analyzes 520 scientific articles from the Dimensions.ai database up to July 2022. The methodology uses natural language processing (NLP) and tools such as bibliometrix and VosViewer, which reveal the main characteristics of the titles and texts of the abstracts and their links with the numbers of citations and with scientific impact. This study provides guidelines and clear recommendations for scientists to focus their scientific research on AI and entrepreneurship and entrepreneurs by including the link between AI and entrepreneurship in their strategies. As future lines of research, the authors highlight the potential of using NLP in bibliometric analysis.
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