IFAC-PapersOnLine · 2021 · 108 citations · 13 references
BusinessInformation SystemsManagement Information SystemsArtificial IntelligenceBusiness IntelligenceBusiness StrategyArtificial Intelligence AdoptionOrganizational ReadinessAi Adoption ReadinessAi Maturity ModelsOrganizational Ai ReadinessTechnology Acceptance Of Ai
today literature proposes several models to assess the level of digitisation of a company. However, digitisation includes innumerable elements and aspects that require either models that are too complex to be easily applied by Small and Medium Enterprises (SMEs) or too high-level to provide significant hints for improvement. This paper proposes a model for measuring Artificial Intelligence (AI) readiness and promoting its adoption in SMEs. By focusing the approach, a model is obtained that is easy to apply, also for SMEs, and sufficiently detailed to provide relevant information and guidelines. The model has been already applied in a sample of 39 companies. It could serve for organizations to assess themselves and for authorities, industrial organisations and academia to diagnose selected populations (e.g. clusters, sectors, economies).
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Alok Raj, Gourav Dwivedi, Ankit Sharma et al. · International Journal of Production Economics · 2019 · 1K citations · Full text
Management, Manufacturing Engineering, Technology Management +16
Simon Fahle, Christopher Prinz, Bernd Kuhlenkötter · Procedia CIRP · 2020 · 238 citations · Full text
Engineering, Industrial Engineering, Manufacturing Engineering +17