Companies with at least 10 Employees Selling Online across the Italian Regions
Angelo Leogrande
No y3t4j, SocArXiv from Center for Open Science
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.
Date: 2024-04-06
New Economics Papers: this item is included in nep-sbm and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://osf.io/download/66105690e65c6028507d9c4f/
Related works:
Working Paper: Companies with at least 10 Employees Selling Online across the Italian Regions (2024) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:osf:socarx:y3t4j
DOI: 10.31219/osf.io/y3t4j
Access Statistics for this paper
More papers in SocArXiv from Center for Open Science
Bibliographic data for series maintained by OSF ().