INTRODUCTION
Gorde:
| Argitaratua izan da: | Artificial Intelligence and Productivity: Challenges and Opportunities (2025), p. XI-XIII |
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| Egile nagusia: | |
| Argitaratua: |
University of Rijeka
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| Gaiak: | |
| Sarrera elektronikoa: | Citation/Abstract Full Text Full Text - PDF |
| Etiketak: |
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!
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MARC
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| 035 | |a 3273090181 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 100 | 1 | |a Anonymous | |
| 245 | 1 | |a INTRODUCTION | |
| 260 | |b University of Rijeka |c 2025 | ||
| 513 | |a Conference Proceedings | ||
| 520 | 3 | |a 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. | |
| 653 | |a Innovations | ||
| 653 | |a Marketing | ||
| 653 | |a Artificial intelligence | ||
| 653 | |a Digital transformation | ||
| 653 | |a Sentiment analysis | ||
| 653 | |a Public administration | ||
| 653 | |a User satisfaction | ||
| 653 | |a Professional development | ||
| 653 | |a Decision making | ||
| 653 | |a Project management | ||
| 653 | |a Productivity | ||
| 653 | |a Crowdfunding | ||
| 653 | |a Ethics | ||
| 653 | |a Natural language processing | ||
| 653 | |a Strategic planning | ||
| 653 | |a Industry 4.0 | ||
| 653 | |a Economic development | ||
| 653 | |a Public sector | ||
| 653 | |a Digital technology | ||
| 653 | |a Success factors | ||
| 653 | |a Electronic government | ||
| 773 | 0 | |t Artificial Intelligence and Productivity: Challenges and Opportunities |g (2025), p. XI-XIII | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3273090181/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/3273090181/fulltext/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3273090181/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |