Business models for artificial intelligence startups - systematic literature review

Wilson Martinez

International Journal of Management Concepts and Philosophy, 2024, vol. 17, issue 4, 392-415

Abstract: This paper seeks to identify the main literature streams in the field of business models (BM) of the enterprises that use artificial intelligence (AI), specifically AI startups. Systematic literature review (SLR) of published work indexed in the Elsevier ScienceDirect database was conducted based on the PRISMA approach. The SLR collects, synthesises, and analyses a variety of articles closely related to AI, BM, startups, BM frameworks, and digital businesses. Fifty-two articles were classified as relevant, and deep analysis of them was done. BM is a concept that has an extensive and well documented research in general in the management literature, but there is a clear theoretical gap in the research of BM for AI startups. A couple of attempts has been done building BM frameworks for Industry 4.0 and digital BM, but there are not theoretical studies of the frameworks of BM for AI startups. This paper is one of the pioneers that study the body of literature in the field BM of AI startups.

Keywords: artificial intelligence; AI; startups; business model; BM; systematic literature review; SLR; business model framework. (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=142320 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijmcph:v:17:y:2024:i:4:p:392-415

Access Statistics for this article

More articles in International Journal of Management Concepts and Philosophy from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().