Notwithstanding the widespread publicity, Artificial Intelligence (AI) adoption has remained relatively limited. One important reason is a lack of insight into critical factors in the adoption process. This study reviews the literature on AI and several similar technologies to identify success factors and employs Necessary Condition Analysis (NCA) to empirically assess the criticality of the identified factors across various stages of adoption. The findings evidence the necessity of performance expectancy, top management support, technical competencies and resources, perceived ease of use, organizational compatibility, and trading partner leverage with varying levels of criticality across various stages of AI adoption.

尽管进行了广泛宣传，人工智能（AI）的采用仍然相对有限。一个重要原因是缺乏对采用过程中关键因素的洞察。本研究回顾了有关人工智能和几种类似技术的文献，以确定成功因素，并采用必要条件分析 (NCA) 来实证评估已识别因素在采用的各个阶段的关键性。研究结果证明了绩效预期、高层管理支持、技术能力和资源、感知易用性、组织兼容性和贸易伙伴影响力的必要性，在人工智能采用的各个阶段具有不同程度的关键性。