Innovation at the Intersection: Examining Artificial Intelligence's Impact on Entrepreneurship through Literature Synthesis

Abstract

 Purpose: While the transformative capabilities of artificial intelligence (AI) are increasingly acknowledged for their beneficial effects on entrepreneurship, there exists a notable absence of structured analysis within academic discourse concerning this relationship. This study aims to investigate how AI serves as a catalyst for entrepreneurial endeavors, with a specific focus on its integration across various Industry 4.0 technologies like smart factories, the Internet of Things (IoT), augmented reality (AR), and blockchain.

Design/methodology/approach: Employing a systematic literature review, this research examines relevant studies elucidating the intersection of AI and entrepreneurship. The analysis is organized around a novel framework termed the "AI-enabled entrepreneurial process."

Findings: The study demonstrates that AI significantly influences entrepreneurship, particularly enhancing opportunities, decision-making processes, performance metrics, and educational/research endeavors for entrepreneurs.

Practical implications: The framework proposed herein offers actionable insights for researchers, entrepreneurs, and individuals engaging in entrepreneurial activities within established entities, providing guidance on harnessing AI's potential within entrepreneurial contexts.

Originality/value: This research contributes a cohesive model for understanding the impact of AI on entrepreneurship, consolidating fragmented studies and categorizing contributions within the realms of entrepreneurial and managerial literature.