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

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  • Leogrande, Angelo

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.

Suggested Citation

  • Leogrande, Angelo, 2024. "Companies with at least 10 Employees Selling Online across the Italian Regions," SocArXiv y3t4j_v1, Center for Open Science.
  • Handle: RePEc:osf:socarx:y3t4j_v1
    DOI: 10.31219/osf.io/y3t4j_v1
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    1. Arsalan Hussain & Minhas Akbar & Arfan Shahzad & Petra Poulova & Ahsan Akbar & Rohail Hassan, 2022. "E-Commerce and SME Performance: The Moderating Influence of Entrepreneurial Competencies," Administrative Sciences, MDPI, vol. 12(1), pages 1-16, January.
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