A machine learning model of national competitiveness with regional statistics of public expenditure

Competitiveness, defined as the rate of success in attracting and maintaining industries to foster the sustained improvement in citizens’ wellbeing, has been a long-pursued goal for regions and nations. Today’s rapid advancements in technology, especially in telecommunications, open challenges for d...

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Veröffentlicht in:	Computational and mathematical organization theory 2021-12, Vol.27 (4), p.451-468
Hauptverfasser:	Zaragoza-Ibarra, Artemisa, Alfaro-Calderón, Gerardo G., Alfaro-García, Víctor G., Ornelas-Tellez, Fernando, Gómez-Monge, Rodrigo
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Business and Management Competitiveness Deep learning Expenditures Government spending Intelligence Machine learning Management Methodology of the Social Sciences Neural networks Operations Research/Decision Theory Organization theory Policy making Resource allocation S.i. : Iconis2019 Sociology Statistical methods Technology Telecommunications
Online-Zugang:	Volltext
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