Strategic implications of cognitive computing in IS: addressing AI fragmentation through knowledge similarity transformation
本文提出知识相似性转换方法，整合认知计算三个组成部分（人工智能、认知心理学、神经生物学），以应对知识碎片化，为信息系统研究提供战略启示和组织价值创造方向。
Without an integrated model of how the human brain works and processes information, artificial intelligence (AI) will remain a mysterious black box that can misfire as circumstances change. An integrated study of the three cognitive computing components (AI, cognitive psychology, and neurobiology) is necessary to create explainable AI findings. This paper introduces cognitive computing systems (CCS) as a domain for information systems (IS) research. It reviews the interdisciplinary implications of CCS concepts by developing a new computational method, knowledge similarity transformation (KST), to improve digital-augmented literature analysis in fragmented knowledge areas. Based on the dual CCS and KST contribution, this article outlines strategic implications for organizational value creation opportunities and future research directions from a technological, psychological, and physiological perspective.