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

Maggie C.M. Lee; Helana Scheepers; Ariel K.H. Lui; Eric W.T. Ngai

doi:10.1016/j.im.2023.103816

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

Maggie C.M. Lee, Helana Scheepers, Ariel K.H. Lui, Eric W.T. Ngai

Research output: Journal article publication › Journal article › Academic research › peer-review

42 Citations (Scopus)

Abstract

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.

Original language	English
Article number	103816
Journal	Information and Management
Volume	60
Issue number	5
DOIs	https://doi.org/10.1016/j.im.2023.103816
Publication status	Published - Jul 2023

Keywords

Artificial intelligence (AI)
Cognitive automation
Deep learning
Machine learning
Neural network
systematic literature review

ASJC Scopus subject areas

Management Information Systems
Information Systems
Information Systems and Management

More information

10.1016/j.im.2023.103816

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abstract = "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.",

keywords = "Artificial intelligence (AI), Cognitive automation, Deep learning, Machine learning, Neural network, systematic literature review",

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AB - 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.

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KW - Cognitive automation

KW - Deep learning

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KW - Neural network

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

Abstract

Keywords

ASJC Scopus subject areas

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