Title: Business models for artificial intelligence startups - systematic literature review

Authors: Wilson Martinez

Addresses: Graduate School of Management, St. Petersburg University, University Embankment, 7/9, St. Petersburg, 199034, Russia

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.

DOI: 10.1504/IJMCP.2024.142320

International Journal of Management Concepts and Philosophy, 2024 Vol.17 No.4, pp.392 - 415

Received: 02 Jul 2023
Accepted: 06 Jul 2023
Published online: 21 Oct 2024 *

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