Artificial Intelligence and Entrepreneurial Decision‐Making in Micro‐Entrepreneurship: A Systematic Literature Review
这篇综述系统梳理了人工智能如何影响微型企业识别机会、分配资源和应对不确定性，通过文献计量和七维度分析，为学者和从业者提供了研究现状与未来方向。
ABSTRACT Artificial intelligence (AI) has emerged as a transformative force in contemporary entrepreneurship, redefining how micro‐enterprises sense opportunities, allocate scarce resources, and navigate uncertainty. Despite the growing intersection of AI and entrepreneurship, a systematic review focusing specifically on micro‐entrepreneurial decision‐making remains conspicuously absent. This review addresses this critical gap through a multi‐dimensional analysis. First, it employs bibliometric techniques to map the field's intellectual structure, visualizing collaboration landscapes, core literature, and evolutionary trajectories. Second, it systematically synthesizes findings across seven key dimensions of the decision‐making process: opportunity assessment, entrepreneurial entry, opportunity exploitation, entrepreneurial exit, cognitive heuristics and biases, decision‐maker characteristics, and the environmental decision context. Finally, the study delineates a forward‐looking research agenda bridging theoretical insights with practical applications for AI‐enabled micro‐ventures.