Companies with at least 10 Employees Selling Online across the Italian Regions

Angelo Leogrande

MPRA Paper from University Library of Munich, Germany

Abstract: The following article analyzes Italian companies with more than 10 employees that use online sales tools. The data used were acquired from the ISTAT-BES database. The article first presents a static analysis of the data aimed at framing the phenomenon in the context of Italian regional disparities. Subsequently, a clustering with k-Means algorithm is proposed by comparing the Silhouette coefficient and the Elbow method. The investigation of the innovative and technological determinants of the observed variable is carried out through the application of a panel econometric model. Finally, different machine learning algorithms for prediction are compared. The results are critically discussed with economic policy suggestions.

Keywords: Innovation; Innovation and Invention; Management of Technological Innovation and R&D; Technological Change; Intellectual Property and Intellectual Capital. (search for similar items in EconPapers)
JEL-codes: O30 O31 O32 O33 O34 (search for similar items in EconPapers)
Date: 2024-04-05
New Economics Papers: this item is included in nep-big, nep-cse, nep-sbm and nep-ure
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https://mpra.ub.uni-muenchen.de/120637/1/MPRA_paper_120637.pdf original version (application/pdf)

Related works:
Working Paper: Companies with at least 10 Employees Selling Online across the Italian Regions (2024)
Working Paper: Companies with at least 10 Employees Selling Online across the Italian Regions (2024)
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