Version 1
: Received: 5 April 2024 / Approved: 8 April 2024 / Online: 8 April 2024 (16:06:24 CEST)
How to cite:
Leogrande, A. Companies with at Least 10 Employees Selling Online across the Italian Regions. Preprints2024, 2024040546. https://doi.org/10.20944/preprints202404.0546.v1
Leogrande, A. Companies with at Least 10 Employees Selling Online across the Italian Regions. Preprints 2024, 2024040546. https://doi.org/10.20944/preprints202404.0546.v1
Leogrande, A. Companies with at Least 10 Employees Selling Online across the Italian Regions. Preprints2024, 2024040546. https://doi.org/10.20944/preprints202404.0546.v1
APA Style
Leogrande, A. (2024). Companies with at Least 10 Employees Selling Online across the Italian Regions. Preprints. https://doi.org/10.20944/preprints202404.0546.v1
Chicago/Turabian Style
Leogrande, A. 2024 "Companies with at Least 10 Employees Selling Online across the Italian Regions" Preprints. https://doi.org/10.20944/preprints202404.0546.v1
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
Subject
Business, Economics and Management, Econometrics and Statistics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
