INTRODUCTION

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Detalles Bibliográficos
Publicado en:	Artificial Intelligence and Productivity: Challenges and Opportunities (2025), p. XI-XIII
Autor principal:	Anonymous
Publicado:	University of Rijeka
Materias:	Innovations Marketing Artificial intelligence Digital transformation Sentiment analysis Public administration User satisfaction Professional development Decision making Project management Productivity Crowdfunding Ethics Natural language processing Strategic planning Industry 4.0 Economic development Public sector Digital technology Success factors Electronic government
Acceso en línea:	Citation/Abstract Full Text Full Text - PDF
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Descripción
Resumen:	Al-powered analytics could effectively assess and enhance public sector efficiency by increasing productivity through e-government systems and demonstrate how public sector digitization increases productivity and economic growth by streamlining processes, reducing corruption and encouraging private sector investment. [...]by using natural language processing (NLP) and sentiment analysis to examine customer reviews and feature descriptions, companies can uncover important themes and insights about user satisfaction to develop Al-driven marketing strategies and increase productivity. Research shows that the traditional role may be transformed due to the emergence of self-organized teams and agile practices, and suggests implications for leadership development, curricula and strategic planning in project management.
Fuente:	Advanced Technologies & Aerospace Database