Investigation of artificial intelligence in SMEs: a systematic review of the state of the art and the main implementation challenges

While the topic of artificial intelligence (AI) in multinational enterprises has been receiving attention for some time, small and medium enterprises (SMEs) have recently begun to recognize the potential of this new technology. However, the focus of previous research and AI applications has therefor...

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Vydáno v:Management review quarterly Ročník 75; číslo 2; s. 1185 - 1227
Hlavní autoři: Oldemeyer, Leon, Jede, Andreas, Teuteberg, Frank
Médium: Journal Article
Jazyk:angličtina
Vydáno: Cham Springer International Publishing 01.06.2025
Springer Nature B.V
Témata:
Accounting/Auditing
Artificial intelligence
Barriers
Business and Management
Employees
Industry 4.0
Innovation/Technology Management
International Business
Manufacturing
PESTEL
Small & medium sized enterprises-SME
SMEs
Systematic review
Technology adoption
PESTEL
Manufacturing
Artificial intelligence
Barriers
SMEs
ISSN:2198-1639, 2198-1620, 2198-1639
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Shrnutí:While the topic of artificial intelligence (AI) in multinational enterprises has been receiving attention for some time, small and medium enterprises (SMEs) have recently begun to recognize the potential of this new technology. However, the focus of previous research and AI applications has therefore mostly been on large enterprises. This poses a particular issue, as the vastly different starting conditions of various company sizes, such as data availability, play a central role in the context of AI. For this reason, our systematic literature review, based on the PRISMA protocol, consolidates the state of the art of AI with an explicit focus on SMEs and highlights the perceived challenges regarding implementation in this company size. This allowed us to identify various business activities that have been scarcely considered. Simultaneously, it led to the discovery of a total of 27 different challenges perceived by SMEs in the adoption of AI. This enables SMEs to apply the identified challenges to their own AI projects in advance, preventing the oversight of any potential obstacles or risks. The lack of knowledge, costs, and inadequate infrastructure are perceived as the most common barriers to implementation, addressing social, economic, and technological aspects in particular. This illustrates the need for a wide range of support for SMEs regarding an AI introduction, which covers various subject areas, like funding and advice, and differentiates between company sizes.
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ISSN:2198-1639
2198-1620
2198-1639
DOI:10.1007/s11301-024-00405-4