AI in Entrepreneurship (2020–2024): Dataset for Systematic Review

This dataset represents a comprehensive systematic literature review examining artificial intelligence adoption in entrepreneurship from 2020 to 2024. The collection encompasses 32 peer-reviewed papers systematically retrieved from the Scopus database and analyzed following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) protocol.The methodological framework employed in this study utilizes a systematic literature review approach complemented by thematic analysis based on Gioia's Grounded Theory to construct the key enablers of AI in entrepreneurship. The dataset comprises multiple formats including PRISMA workflow diagrams (JPG format) that illustrate the systematic selection and filtering process of relevant literature, visual representations of key enablers (JPG format) that demonstrate the thematic categories emerged from the analysis, and systematic literature review mapping documents (Word documents) that provide detailed documentation of the key enabler framework.This curated dataset serves as a valuable resource for researchers, practitioners, and policymakers interested in understanding the intersection of artificial intelligence and entrepreneurship. The systematic approach ensures methodological rigor while the thematic analysis provides theoretical depth to the identified enablers. The dataset contributes to the growing body of knowledge in AI-driven entrepreneurship and offers a foundational framework for future empirical investigations and theoretical developments in this rapidly evolving field.