Advancing knowledge synthesis in management learning: Literature review assisted by artificial intelligence
比较了预定义功能型与机器学习型人工智能在文献综述中的优缺点，指出AI在批判性思维和领域知识上的局限，主张基于AI素养和综述目的的人机协作，强调批判性审视AI以避免知识泛化和幻觉。
Artificial intelligence is transforming literature review in management learning, offering new opportunities for knowledge synthesis while raising epistemological and methodological challenges. This study contributes to categorizing artificial intelligence into predefined-function and machine-learning artificial intelligence to compare their strengths and weaknesses in literature review processes and quality for insights into management learning. Artificial intelligence can improve literature review quality in multiple ways, although it poses various risks in different aspects. We identify the main artificial intelligence limitations in critical thinking and domain knowledge, which are unique human capabilities. Thus, we reconceptualize and argue for human–artificial intelligence collaboration based on artificial intelligence literacy and literature review purposes for management learning. We emphasize the importance of critical inspection of artificial intelligence to mitigate overgeneralization and hallucination of knowledge. Artificial intelligence can be an augmentation tool for efficiency and inspiration in management learning. Future research can explore human application processes and contexts, artificial intelligence evolution, and methodological advancements.