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Implementing and scaling artificial intelligence: A review, framework, and research agenda

Journal
Technological Forecasting & Social Change
Series
197
Type
journal article
Date Issued
2023-10-16
Author(s)
Haefner, Naomi  
;
Parida, Vinit
;
Gassmann, Oliver  
;
Wincent, Joakim  
DOI
10.1016/j.techfore.2023.122878
Abstract
Artificial intelligence (AI) will have a substantial impact on firms in virtually all industries. Without guidance on how to implement and scale AI, companies will be outcompeted by the next generation of highly innovative and competitive companies that manage to incorporate AI into their operations. Research shows that competition is fierce and that there is a lack of frameworks to implement and scale AI successfully. This study begins to address this gap by providing a systematic review and analysis of different approaches by companies to using AI in their organizations. Based on these experiences, we identify key components of implementing and scaling AI in organizations and propose phases of implementing and scaling AI in firms.
Language
English
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/118342
File(s)
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open.access

Name

23 TFSC implementing and scaling AI.pdf

Size

525.61 KB

Format

Adobe PDF

Checksum (MD5)

4d6bd06ba3c37005c4e571608c7bb8dc

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