Strategic Implications of Cognitive Computing in IS: Addressing AI Fragmentation Through Knowledge Similarity Transformation
Document Type
Article
Publication Date
6-2025
Publisher
Elsevier
Source Publication
Journal of Strategic Information Systems
Source ISSN
0963-8687
Original Item ID
DOI: 10.1016/j.jsis.2025.101908
Abstract
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.
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Tuczek, Matthias; Degirmenci, Kenan; Song, Yuanyuan (April); Desouza, Kevin C.; Breitner, Michael H.; and Watson, Richard T., "Strategic Implications of Cognitive Computing in IS: Addressing AI Fragmentation Through Knowledge Similarity Transformation" (2025). Management Faculty Research and Publications. 416.
https://epublications.marquette.edu/mgmt_fac/416
Comments
Journal of Strategic Information Systems, Vol. 34, No. 2 (June 2025). DOI.