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Cited by 282Impact of AI and Big Data on Business and SocietyDigital Transformation in IndustryInnovation and Knowledge Management

The DOI matches its Crossref record; 64 of the 65 references it cites were found in a registry or an index.

Artificial intelligence implementation in manufacturing SMEs: A resource orchestration approach

Open access
Peretz-Andersson, Einav, Tabares, Sabrina, Mikalef, Patrick, Parida, Vinit·2024·International Journal of Information Management
DOI 10.1016/j.ijinfomgt.2024.102781
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Abstract

Artificial intelligence (AI) is playing a leading role in the digital transformation of enterprises, particularly in the manufacturing industry where it has been responsible for a profound transformation in key business and production operations. Despite the accelerated growth of AI technologies, knowledge of the implementation of AI by small and medium-sized enterprises (SMEs) remains underexplored. Thus, this study seeks to examine how manufacturing SMEs orchestrate resources for AI implementation. Building on the resource orchestration (RO) theory and recent work on AI implementation, we investigate multiple case studies involving manufacturing SMEs in Sweden operating in the packaging, plastic, and metal sectors. Our findings indicate that SMEs structure a portfolio based on acquiring and accumulating AI resources. AI resources are bundled into learning and governance capabilities to leverage configurations for AI implementation. Through a dynamic process of AI resource orchestration, SMEs effectively leverage AI resources and capabilities by mobilising technologies, coordinating manufacturing processes, and empowering skilled people. This research contributes to existing practice and the academic literature on AI implementation, highlighting how SMEs orchestrate AI resources and capabilities to drive an organisation’s digital transformation whilst creating a competitive advantage.

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Metadata

Authors
Peretz-Andersson, E., Tabares, S., Mikalef, P., & Parida, V.
Affiliations
  • Jönköping University (SE)
  • Luleå University of Technology (SE)
  • Norwegian University of Science and Technology (NO)
Corresponding author
Peretz-Andersson, Einav
ORCID
Venue
International Journal of Information Management
Publisher
Elsevier BV
Published
2024-08
Volume
77
Pages
102781
ISSN
0268-4012 (ISSN-L)
DOI
10.1016/j.ijinfomgt.2024.102781
OpenAlex
W4393910198
Cited by
218
References
65
Citations by year
2026: 93 · 2025: 98 · 2024: 27
FWCI
66.31
Type
journal article
Language
en
Open access
Licence
Locations
  • International Journal of Information Management (publishedVersion, cc-by)
  • Osuva (University of Vaasa) (submittedVersion, cc-by)
  • Epubl LTU (submittedVersion, cc-by)
Funders
Knowledge Foundation
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
  • Social Sciences › Business, Management and Accounting › Strategy and Management › Innovation and Knowledge Management
Keywords
AI implementation, small and medium-sized enterprises, manufacturing SMEs, resource orchestration theory, learning ability, governance capacity, digital transformation, competitive advantage, packaging industry, plastics industry, metal industry

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