Content area

Abstract

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

Title
INTRODUCTION
Author
Pages
XI-XII
Number of pages
3
Publication year
2025
Publication date
2025
Publisher
University of Rijeka
Place of publication
Rijeka
Country of publication
Croatia
Source type
Conference Paper
Language of publication
English
Document type
Conference Proceedings
ProQuest document ID
3273090181
Document URL
https://www.proquest.com/conference-papers-proceedings/introduction/docview/3273090181/se-2?accountid=208611
Copyright
Copyright University of Rijeka 2025
Last updated
2025-11-20
Database
ProQuest One Academic