@article{bettoni_ai_2021,
	title = {An {AI} adoption model for {SMEs}: a conceptual framework},
	volume = {54},
	issn = {2405-8963},
	url = {https://www.sciencedirect.com/science/article/pii/S2405896321008259},
	doi = {10.1016/j.ifacol.2021.08.082},
	abstract = {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).},
	number = {1},
	journal = {17th IFAC Symposium on Information Control Problems in Manufacturing INCOM 2021},
	author = {Bettoni, Andrea and Matteri, Davide and Montini, Elias and Gładysz, Bartłomiej and Carpanzano, Emanuele},
	month = jan,
	year = {2021},
	keywords = {Artificial intelligence, digitisation, manufacturing, medium enterprises, small, survey, technology readiness},
	pages = {702--708},
}

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