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AI skills needs and gaps for MSMEs in the retail sector in Cyprus, Germany, Italy, Poland, and Romania

Authors: Włoch, Renata; Ślosarski, Bartosz; Paliński, Michał; Śledziewska, Katarzyna; Teodorowicz, Karol; Łebkowska, Weronika;

AI skills needs and gaps for MSMEs in the retail sector in Cyprus, Germany, Italy, Poland, and Romania

Abstract

The report represents the findings of research conducted under the auspices of the Work Package 3 titled “Analysis of AI Skills Needs and Gaps in Retail” of the “InAIR: Increasing the Uptake of AI in Retail” project, Coordination and Support Action funded by the European Union'’s Horizon Europe Research and Innovation programme under Grant Agreement No. 101133847. The aim of this report is to fulfill the first specific objective of the project, which is to identify the AI skill needs and gaps for MSMEs in the retail sector in Cyprus, Germany, Italy, Poland and Romania. This research aims to guide retail sector companies and their employees through the digital revolution.

This project received funding from the European Union''s Horizon Europe Research and Innovation programme - Grant Agreement No. 101133847. Views and opinions expressed are those of the author(s) only and do not necessarily reflect those of the European Union or the European Health and Digital Executive Agency (HADEA). Neither the European Union nor the granting authority can be held responsible for them.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green