The implementation of artificial intelligence in organizations: A systematic literature review

This study seeks to thoroughly understand the organizational context in which Artificial Intelligence (AI) would be implemented, through a systematic review and analysis of articles published (up to 2021) in 31 journals on information systems, business, management, and operations management. Seventy...

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Bibliographic Details
Published in:Information & management 2023-07, Vol.60 (5), p.103816, Article 103816
Main Authors: Lee, Maggie C.M., Scheepers, Helana, Lui, Ariel K.H., Ngai, Eric W.T.
Format: Article
Language:English
Subjects:
Artificial intelligence (AI)
Cognitive automation
Deep learning
Machine learning
Neural network
systematic literature review
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Summary:This study seeks to thoroughly understand the organizational context in which Artificial Intelligence (AI) would be implemented, through a systematic review and analysis of articles published (up to 2021) in 31 journals on information systems, business, management, and operations management. Seventy themes are identified from the literature and categorized into organizational, information systems, technological, and people dimensions for the antecedents, challenges, guidelines, and consequences of AI implementation in organizations. A conceptual framework for understanding AI implementation in organizations is also proposed. This study provides a research agenda to guide future research and facilitate knowledge accumulation and creation on AI implementation.
ISSN:0378-7206
1872-7530
DOI:10.1016/j.im.2023.103816