Content area
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.
Details
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