Version 1
: Received: 29 January 2022 / Approved: 31 January 2022 / Online: 31 January 2022 (14:02:47 CET)
How to cite:
Laureti, L.; Costantiello, A.; Matarrese, M.M.; Leogrande, A. Enterprises Providing ICT Training in Europe. Preprints2022, 2022010470. https://doi.org/10.20944/preprints202201.0470.v1
Laureti, L.; Costantiello, A.; Matarrese, M.M.; Leogrande, A. Enterprises Providing ICT Training in Europe. Preprints 2022, 2022010470. https://doi.org/10.20944/preprints202201.0470.v1
Laureti, L.; Costantiello, A.; Matarrese, M.M.; Leogrande, A. Enterprises Providing ICT Training in Europe. Preprints2022, 2022010470. https://doi.org/10.20944/preprints202201.0470.v1
APA Style
Laureti, L., Costantiello, A., Matarrese, M.M., & Leogrande, A. (2022). Enterprises Providing ICT Training in Europe. Preprints. https://doi.org/10.20944/preprints202201.0470.v1
Chicago/Turabian Style
Laureti, L., Marco Maria Matarrese and Angelo Leogrande. 2022 "Enterprises Providing ICT Training in Europe" Preprints. https://doi.org/10.20944/preprints202201.0470.v1
Abstract
The determinants of enterprises providing ICT training in Europe are analyzed in this article. Data are collected from the European Innovation Scoreboard-EIS of the European Commission for 36 European countries in the period 2000-2019. Data are analyzed with Panel Data with Fixed Effects, Panel Data with Random Effects, Dynamic Panel, WLS and Pooled OLS. Results show that the number of enterprises providing ICT training in Europe is positively associate with “Innovation Index”, “Innovators”, “New Doctorate Graduates”, “Tertiary Education” and negatively associated with “Government Procurement of Advanced Technology Products”, “Human Resources”, and “Marketing or Organisational Innovators”. In adjunct a cluster analysis is performed by using k-Means algorithm optimized with the Silhouette Coefficient and we find the presence of four clusters. Finally, we use eight different machine learning algorithms to predict the value of the enterprises providing ICT training in Europe. We found that the Simple Tree Regression is the best predictor and that the number of enterprises providing ICT training in Europe is expected to growth of the 5,02%.
Keywords
General; Innovation and Invention: Processes and Incentives; Management of Technological Innovation; Technological Change: Choices and Consequences; Intellectual Property and Intellectual Capital.
Subject
Business, Economics and Management, Economics
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.
